Journal articles: 'Weighted Overlay Analysis'

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Awanda, Disyacitta, H. Anugrah Nurul, Zahrotul Musfiroh, and N. P. Dinda Dwi. "Spatial Analysis for Potential Water Catchment Areas using GIS: Weighted Overlay Technique." IOP Conference Series: Earth and Environmental Science 98 (December 2017): 012054. http://dx.doi.org/10.1088/1755-1315/98/1/012054.

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Iqbal, Afrida Binth, Mohammad Moshiur Rahman, Dhiman Ranjan Mondal, Nadim Reza Khandaker, Haniyum Maria Khan, Gias Uddin Ahsan, Md Jakariya, and Md Mainul Hossain. "Assessment of Bangladesh groundwater for drinking and irrigation using weighted overlay analysis." Groundwater for Sustainable Development 10 (April 2020): 100312. http://dx.doi.org/10.1016/j.gsd.2019.100312.

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Markieta, Michael, and Claus Rinner. "Using Distributed Map Overlay and Layer Opacity for Visual Multi-Criteria Analysis." GEOMATICA 68, no. 2 (June 2014): 95–105. http://dx.doi.org/10.5623/cig2014-202.

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Strategic decision-making is often based on multiple decision criteria and on the decision-makers’ preferences regarding relative criterion importance. We present version 2 of a map overlay and opacity tool (moot2), which supports the visual exploration of decision-making scenarios. The tool uses a basic function of geographic information systems (GIS): visual map overlay. In this approach, visual overlay serves as a representation of weighted linear combination in multi-criteria decision analysis (MCDA). Using the tool, we model a global human influence index for the extent of the province of Ontario, Canada. The index is a weighted overlay of six indicators that represent human influence on the land. The semi-transparent overlay of the six indicator layers occurs online in a web browser, making it accessible to distant collaborators in low-technology settings. The software architecture of moot2 includes the OpenLayers JavaScript library to display thematic Web Map Service (WMS) layers, such as the human influence indicators, on top of popular base map services, such as OpenStreetMap or Google Maps. The tool also uses jQuery, a JavaScript library that enables interactions between the user and the map environment. Layer opacity is manipulated by the jQuery Slider, permitting the user to generate on-the-fly weighting schemes for the combination of the human influence indicators. By removing the analytical engine (i.e., GIS), decision-makers can perform rapid MCDA without recalculating composite evaluation scores. The case study demonstrates how visual-spatial MCDA supports the refinement of decision-making parameters such as criterion weights.

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KURU, Azem, and Fatih Terzi. "Determination of New Development Area in Kırklareli by GIS Based Weighted Overlay Analysis." International Journal of Environment and Geoinformatics 5, no. 3 (December 2, 2018): 244–59. http://dx.doi.org/10.30897/ijegeo.427330.

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Singh, Neha, Ratan Sen, Chandrashekhar Azad Vishwakarma, Harshita Asthana, and Saumitra Mukherjee. "Groundwater recharge influencing the arsenic enrichment in the aquifer of west Bengal." International Journal of Advanced Geosciences 4, no. 2 (August 22, 2016): 82. http://dx.doi.org/10.14419/ijag.v4i2.6456.

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Arsenic contamination, a very serious issue, has a detrimental effect on the living being. Arsenic contamination is found in the Gangetic plains, with West Bengal as the most affected state. In the present study, an attempt has been made to use weighted overlay analysis for arsenic hazard zonation based on the factors that influence the groundwater in a terrain. Weighted overlay analysis was done for mapping the arsenic contamination zone by assigning weightage and rating to geomorphology, land use/land cover, soil type, cropping intensity, slope and drainage density in North 24 Parganas. The whole region has been formed by the sedimentation from the river, and soil at the surface contains higher concentration of arsenic. Arsenic may get released from the sediment by various mechanism and transport downward along with the infiltration of rainwater. Thus, arsenic contamination in groundwater is influenced by the arsenic rich sediments, slope, and drainage pattern of the area. The arsenic concentration in collected groundwater samples shows the same result as obtained from the weighted overlay analysis except in the area with deeper water level. Thus, weighted overlay analysis along with water level data can be an effective method for determining the risk of arsenic in an area.

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Hasanloo, M., P. Pahlavani, and B. Bigdeli. "FLOOD RISK ZONATION USING A MULTI-CRITERIA SPATIAL GROUP FUZZY-AHP DECISION MAKING AND FUZZY OVERLAY ANALYSIS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (October 18, 2019): 455–60. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-455-2019.

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Abstract. In this study, a GIS based approach has been proposed for the flood risk zonation based on a multi-criteria spatial group fuzzy AHP decision making analysis and its integration with fuzzy overlay analysis. For this purpose, 10 layers affecting flood occurrence have been used including: the Digital Elevation Model (DEM), Slope, NDVI, Flow Accumulation (Flow Ac.), HOFD, VOFD, Topographic Position Index (TPI), Topographic Wetness Index (TWI), Curve Number (CN), Modified Fournier Index. Each layer was classified into 5 sub-classes and their preference at its layer was weighted by a group of experts using fuzzy analytical hierarchy processes (GFAHP) method. Finally, the risk map of the studied area with the weight of experts and fuzzy overlay method was product and divided into five categories.

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Anselmus Teniwut, Wellem, Syahibul Kahfi Hamid, and Marvin Mario Makailipessy. "Using Spatial Analysis with weighted overlay on selecting area for fisheries agroindustry in Southeast Maluku, Indonesia." Journal of Physics: Conference Series 1424 (December 2019): 012016. http://dx.doi.org/10.1088/1742-6596/1424/1/012016.

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Roslee, Rodeano, Alvyn Clancey Mickey, Norbert Simon, and Mohd Norazman Norhisham. "Landslide susceptibility analysis lsa using weighted overlay method wom along the genting sempah to bentong highway pahang." Malaysian Journal Geosciences 1, no. 2 (September 10, 2017): 13–19. http://dx.doi.org/10.26480/mjg.02.2017.13.19.

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Yuda, Terry Christian, and Iwan Rudiarto. "Prioritas lokasi pendaftaran tanah sistematik lengkap dengan metode analisis hierarki proses dan overlay tertimbang di Kabupaten Semarang." Region : Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif 16, no. 1 (January 28, 2021): 141. http://dx.doi.org/10.20961/region.v16i1.35205.

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Sesuai dengan rencana tata ruang wilayah Kabupaten Semarang, Kecamatan Sumowono dikembangkan menjadi kawasan pertanian produktif, dengan sistem agropolitan. Penataan ruang dapat dilakukan dengan optimal apabila seluruh bidang tanah pada kawasan tersebut sudah terdaftar, sehingga perencanaan, pemanfaatan dan pengendaliannya dapat dilakukan dengan seksama. Tujuan dari penelitian ini adalah menentukan prioritas lokasi pendaftaran tanah sistematik lengkap (PTSL) di Kecamatan Sumowono yang terdiri dari 16 desa. Metode yang digunakan adalah gabungan dari metode Analysis Hierarchy Process (AHP) dan Weighted Overlay. AHP digunakan untuk menentukan bobot setiap variabel penentuan prioritas, sedangkan analisis weighted overlay digunakan untuk menentukan prioritas lokasi PTSL dengan mengintegrasikan bobot dengan nilai masing-masing variabel di setiap desa. Hasil AHP menyatakan bahwa bobot tertinggi dalam perencanaan pendaftaran tanah sistematik lengkap adalah jumlah bidang tanah belum terdaftar (30,3%) dan jumlah penduduk bekerja (13,4%). Analisis terakhir menghasilkan tiga tingkat prioritas. Prioritas pertama terdapat pada Desa Candigaron. Prioritas kedua terdiri dari 9 desa: Desa Keseneg, Desa Pledokan, Desa Kemitir, Desa Losari, Desa Sumowono, Desa Jubelan, Desa Lanjan, Desa Ngadikerso, dan Desa Kebonagung. Sedangkan prioritas ketiga terdiri dari 6 desa: Desa Medongan, Desa Kemawi, Desa Piyanggang, Desa Bumen, Desa Trayu, dan Desa Duren.

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Baalousha, Husam Musa, Bassam Tawabini, and Thomas D. Seers. "Fuzzy or Non-Fuzzy? A Comparison between Fuzzy Logic-Based Vulnerability Mapping and DRASTIC Approach Using a Numerical Model. A Case Study from Qatar." Water 13, no. 9 (May 1, 2021): 1288. http://dx.doi.org/10.3390/w13091288.

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Vulnerability maps are useful for groundwater protection, water resources development, and land use management. The literature contains various approaches for intrinsic vulnerability assessment, and they mainly depend on hydrogeological settings and anthropogenic impacts. Most methods assign certain ratings and weights to each contributing factor to groundwater vulnerability. Fuzzy logic (FL) is an alternative artificial intelligence tool for overlay analysis, where spatial properties are fuzzified. Unlike the specific rating used in the weighted overlay-based vulnerability mapping methods, FL allows more flexibility through assigning a degree of contribution without specific boundaries for various classes. This study compares the results of DRASTIC vulnerability approach with the FL approach, applying both on Qatar aquifers. The comparison was checked and validated against a numerical model developed for the same study area, and the actual anthropogenic contamination load. Results show some similarities and differences between both approaches. While the coastal areas fall in the same category of high vulnerability in both cases, the FL approach shows greater variability than the DRASTIC approach and better matches with model results and contamination load. FL is probably better suited for vulnerability assessment than the weighted overlay methods.

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Eichorst, S. M., R. B. Rogers, and M. A. L. Smith. "USE OF A DOUBLE PHASE (LIQUID OVERLAY) CULTURE SYSTEM TO ENHANCE SHOOT QUALITY AND ROOTING RESPONSE IN MINIATURE ROSES." HortScience 27, no. 6 (June 1992): 581c—581. http://dx.doi.org/10.21273/hortsci.27.6.581c.

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Use of a liquid media during micropropagation has promoted improved proliferation and rooting response in several species. In this experiment, a double phase system (a combination of liquid and agar solidified medium) was applied to three cultivars of miniature roses (Rosa chinensis var. minima) to determine the effects on shoot quality and subsequent ex-vitro rooting. Applications of liquid media to the surface of agar solidified media were made at 0, 2, and 4 weeks. Evaluation via computerized image analysis after eight weeks of proliferation revealed equal or greater values for shoot length, area and weighted density (equivalent to fresh weight) for cultures receiving overlay, regardless of timing, compared to the solid media control. Additionally, application of a liquid overlay improved rooting response by up to 20% over the control and resulted in a tendency for a greater number of roots of greater length and area than the treatment without liquid media overlay.

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Dile, Yihun T., Johan Rockström, and Louise Karlberg. "Suitability of Water Harvesting in the Upper Blue Nile Basin, Ethiopia: A First Step towards a Mesoscale Hydrological Modeling Framework." Advances in Meteorology 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/5935430.

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Extreme rainfall variability has been one of the major factors to famine and environmental degradation in Ethiopia. The potential for water harvesting in the Upper Blue Nile Basin was assessed using two GIS-based Multicriteria Evaluation methods: (1) a Boolean approach to locate suitable areas for in situ and ex situ systems and (2) a weighted overlay analysis to classify suitable areas into different water harvesting suitability levels. The sensitivity of the results was analyzed to the influence given to different constraining factors. A large part of the basin was suitable for water harvesting: the Boolean analysis showed that 36% of the basin was suitable for in situ and ex situ systems, while the weighted overlay analysis showed that 6–24% of the basin was highly suitable. Rainfall has the highest influence on suitability for water harvesting. Implementing water harvesting in nonagricultural land use types may further increase the benefit. Assessing water harvesting suitability at the larger catchment scale lays the foundation for modeling of water harvesting at mesoscale, which enables analysis of the potential and implications of upscaling of water harvesting practices for building resilience against climatic shocks. A complete water harvesting suitability study requires socioeconomic analysis and stakeholder consultation.

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Ming, Paul Lau Hua, and Azita Ahmad Zawawi. "Analysis of Landslide Occurrence using DTM-Based Weighted Overlay: A Case Study in Tropical Mountainous Forest of Cameron Highlands, Malaysia." Environment and Natural Resources Journal 19, no. 5 (July 21, 2021): 1–13. http://dx.doi.org/10.32526/ennrj/19/202100069.

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Landslides are massive natural disasters all around the world. In general, our society is only concerned with the landslides that can cause economic distress and impact human life. Landslides in remote areas such as mountainous forests have often been neglected. Referring to the historical disaster event, forest landslides have vast potential to cause unexpected ecological and social damage. This study reveals the terrain characteristics of the complex mountainous forest area of Cameron Highlands (CH), Malaysia, and demonstrates an approach to evaluate the terrain sensitivity of CH. Terrain assessment can be a powerful tool to prevent or reduce the risk of landslides. In this study, terrain features; elevation, slope gradient, aspect, topography wetness index (TWI), and length-slope factor (LS Factor) were extracted using a Digital Terrain Model (DTM) at 10 m resolution. The selected terrain features were incorporated using weighted overlay analysis to derive a terrain sensitivity map (TSM) using SAGA GIS software. The map identified five types of terrain sensitivity classified as very high sensitivity, high sensitivity, moderate sensitivity, low sensitivity, and very low sensitivity; these areas have a coverage of 0.78 km2, 114.31 km2, 107.50 km2, 102.99 km2, and 0.65 km2, respectively. The findings suggest that the sensitive areas are scattered throughout all of the mountainous forests of CH; thus, this enhanced the risk of landslide. Results showed 79.25% accuracy, which is satisfactory to be a guideline for forest management planning and assist decision making in the respective region.

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Christiawan, Jimmy Septian, and Yudi Basuki. "PENENTUAN PRIORITAS PENINGKATAN LAYANAN PENERANGAN JALAN UMUM DI KOTA KEDIRI." JURNAL PEMBANGUNAN WILAYAH & KOTA 15, no. 1 (May 24, 2019): 33. http://dx.doi.org/10.14710/pwk.v15i1.21066.

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Kediri city has a role as a Regional Development Centre for the region around it. The role focuses on the trade in goods and services, industry and education. The impact is an increase in urban activity, including in the transportation sector. The existence of street lights as part of road complementary facilities has an important function in supporting road user safety and improving the city's economy. However, street lighting services in Kediri City do not meet the minimum standards required. So that an increase in street lighting services is absolutely necessary. The limited available resources make it difficult for the Kediri City Government to improve overall street lighting services. Based on these problems, this study aims to determine the priority of improving street lighting services in Kediri City. This research use mix method, namely use the qualitative and quantitative approachment, using the Analytical Hierarchy Process (AHP) and weighted overlay as analytical tools. AHP is used to determine the weight of each variable for priority setting. Weighted overlay analysis is used to determine the priority of road lights improvement by combining the weight variables of AHP results and variable values on each road segment. The AHP produced the highest weight in planning for increasing street lighting was the accident hazard rate (16%) and the number of intersections (12.49%). The final analysis produces four priority levels. The main priorities are on the Kapten Tendean and K.H.Ahmad Dahlan road sections

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Ustaoglu, Beyza, and Aslı Uzun. "Determination of suitable land for special cimate requirements of agricultural products in Mediterranean Region (Turkey) by weighted overlay analysis Akdeniz Bölgesi'nde (Türkiye) yetiştirilen tarım ürünlerinin özel iklim isteklerine uygun arazilerin ağırlıklı çakıştırma analizi ile belirlenmesi." Journal of Human Sciences 15, no. 4 (December 29, 2018): 2433. http://dx.doi.org/10.14687/jhs.v15i4.5573.

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In this study, the areas where wheat, corn, cotton, grape and olive plants of high economic value in the Mediterranean Region can be grown in accordance with the special climate requirements have been determined with Weighted Overlay Analysis in Geographical Information Systems. Burdur, Isparta, Kahramanmaras, Antalya, Mersin, Adana, Osmaniye and Iskenderun were selected for this purpose as the automatic meteorological observation stations having long observation period and homogeneous distribution. Including the years between 1991-2017, the daily average temperature, daily average maximum temperature, daily average minimum temperature and daily total rainfall data were used as climate data along the elevation and slope data generated from the digital elevation model (DEM) as topography data. Phenological periods of agricultural products from Turkey Phenology Atlas and special climate requirements in these periods according to literature review were determined as first step of the methodology. Then, climate data were arranged according to phenological periods and transferred to ArcGIS 10.1 program. Climate data were interpolated by IDW method in order to create a continuous surface from climate data. The weighted overlay tool included in the ArcGIS 10.1 program was applied to the topography data and interpolated climate data. The areas compatible with temperature and precipitation conditions which are special climate requirements of the agricultural products and the areas where the elevation is below 1000 meters and the slope is below %20 are classified as suitable; and the areas that do not meet these criteria are classified as unsuitable. Then the distribution maps are constructed. It is determined that the areas classified as suitable for agricultural production by the study overlap with the areas currently having the greatest amount of agriculture production. According to the results obtained from the analysis; the effect of elevation, hill and climate factors in determining the areas where agricultural products can be cultivated economically is clearly determined.Extended English summary is in the end of Full Text PDF (TURKISH) file. ÖzetBu çalışmada Akdeniz Bölgesi'nde ekonomik değeri yüksek olan buğday, mısır, pamuk, üzüm ve zeytinin özel iklim isteklerine uygun olarak yetiştirilebileceği alanlar Coğrafi Bilgi Sistemleri’nde Ağırlıklı Çakıştırma Analizi (Weighted Overlay Analysis) ile tespit edilmiştir. Bu amaçla çalışma alanındaki gözlem süresi uzun olan ve homojen dağılım gösteren otomatik meteoroloji gözlem istasyonlarından Burdur, Isparta, Kahramanmaraş, Antalya, Mersin, Adana, Osmaniye ve İskenderun seçilmiştir. Bu istasyonlara ait 1991-2017 yılları arasını kapsayan, günlük ortalama sıcaklık, günlük ortalama maksimum sıcaklık, günlük ortalama minimum sıcaklık, günlük en yüksek maksimum ve en düşük minimum sıcaklık ve günlük toplam yağış verileri ile sayısal yükseklik modelinden (dem) oluşturulan yükselti ve eğim verileri, topoğrafya verisi olarak kullanılmıştır. Metot olarak, öncelikle tarım ürünlerinin Türkiye Fenoloji Atlası’ndan fenolojik dönemleri ve literatürden bu dönemlerdeki özel iklim istekleri belirlenmiştir. Fenolojik dönemlere göre düzenlenen iklim verileri ArcGIS 10.1 programına aktarılmıştır. İklim verilerinden sürekli yüzey oluşturabilmesi için sıcaklık ve yağış değerleri IDW yöntemiyle interpole edilmiştir. Topoğrafya verileri ve interpole edilmiş iklim verilerine ArcGIS 10.1 programında weighted overlay aracıyla ağırlıklı çakıştırma analizi uygulanmıştır. Tarım ürünlerinin özel iklim isteklerinden sıcaklık ve yağış koşullarına uyumlu, yükseltinin 1000 metre ve eğimin %20’nin altında olduğu alanlar uygun, bu kriterleri sağlamayan alanlar uygun değil olarak sınıflandırılmış ve dağılış haritaları yapılmıştır. Tarımsal üretim için uygun olan alanların tarımsal üretim tutarlarının da yüksek olduğu alanlara karşılık geldiği gözlemlenmiştir. Analizden elde edilen sonuçlara göre; bölgedeki yükselti ve eğim faktörleri ile iklim koşullarının tarım ürünlerinin ekonomik olarak yetiştirilebileceği alanları belirlemedeki etkisi açık bir şekilde tespit edilmiştir.

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M.Ganesh, K., G. Jai Sankar, M. Jagannadha Rao, and A. C.S.V. Prasad. "Multi criterion Analysis for Ground water Potential Zones along River Gostani and surroundings of Visakhapatnam, Andhra Pradesh, India." International Journal of Engineering & Technology 7, no. 3.31 (August 24, 2018): 186. http://dx.doi.org/10.14419/ijet.v7i3.31.18295.

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The present study is to make an analysis of the groundwater potential zones along Gostani river and the nearby areas. The data is collected from the field concern department and through internet to make a study. For the study seven parameters have been taken into consideration like geology, geomorphology, drainage, slope, soil, land use / land cover and lineaments. Thematic maps prepared and reclassified under Geographical Information System (G.I.S) environment. Weightage for each theme and its classes have been allocated by making use of weighted overlay analysis and then Analytical Hierarchical Process in Arc G.I.S. so as to find out the result.

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Karimzadeh, Sadra, and Masashi Matsuoka. "A Weighted Overlay Method for Liquefaction-Related Urban Damage Detection: A Case Study of the 6 September 2018 Hokkaido Eastern Iburi Earthquake, Japan." Geosciences 8, no. 12 (December 14, 2018): 487. http://dx.doi.org/10.3390/geosciences8120487.

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We performed interferometric synthetic aperture radar (InSAR) analyses to observe ground displacements and assess damage after the M 6.6 Hokkaido Eastern Iburi earthquake in northern Japan on 6 September 2018. A multitemporal SAR coherence map is extracted from 3-m resolution ascending (track 116) and descending (track 18) ALOS-2 Stripmap datasets to cover the entire affected area. To distinguish damaged buildings associated with liquefaction, three influential parameters from the space-based InSAR results, ground-based LiquickMap (from seismic intensities in Japanese networks) and topographic slope of the study area are considered together in a weighted overlay (WO) analysis, according to prior knowledge of the study area. The WO analysis results in liquefaction potential values that agree with our field survey results. To investigate further, we conducted microtremor measurements at 14 points in Hobetsu, in which the predominant frequency showed a negative correlation with the WO values, especially when drastic coherence decay occurred.

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Kayadibi, Önder, and Doğan Aydal. "A comparative predictive analysis of weighted overlay, weighted sum and fuzzy logic for mineral prospectivity mapping of precious and base metal mineralizations at north-east of Gümüşhane city, NE Turkey." Geocarto International 34, no. 5 (December 29, 2017): 539–59. http://dx.doi.org/10.1080/10106049.2017.1415985.

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Srinivas, R., Ajit Pratap Singh, Kunal Dhadse, Chirag Garg, and Anirban Deshmukh. "Sustainable management of a river basin by integrating an improved fuzzy based hybridized SWOT model and geo-statistical weighted thematic overlay analysis." Journal of Hydrology 563 (August 2018): 92–105. http://dx.doi.org/10.1016/j.jhydrol.2018.05.059.

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Galang, Wenyville Nabor, Ian Dominic Tabañag, and Michael Loretero. "GIS-Based Biomass Energy Sustainability Analysis Using Analytical Hierarchy Process: A Case Study in Medellin, Cebu." International Journal of Renewable Energy Development 10, no. 3 (March 10, 2021): 551–61. http://dx.doi.org/10.14710/ijred.0.33260.

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The increasing demand for energy accounts for an alternative energy source. The search for biomass being abundant in an agricultural country is a suitable option to power a community. This paper used Analytical Hierarchy Process (AHP), which includes the organized hierarchy of various selection criteria, the assessment of the relative value of criteria, the comparison and an aggregate rating of the alternatives for each criterion. Specifically, the methodology used was the combination of multi-criteria and weighted-overlay analysis in a Geographical Information System (GIS) environment to provide a spatial overview of the sustainable location for sugarcane residues production in Medellin, Cebu. The study was able to identify Caputatan Sur and Canhabagat as sustainable locations for sugarcane residue production with respect to topography, cultivation area and accessibility. These locations represent 26% of the total cultivation area and average sugarcane production of the locality. The result of this study is an initial step in the support for the utilization of sugarcane residues to answer energy demand in remote areas and further promote the use of indigenous resources for energy generation.

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Hermawan, Atep, Yanuar Juardi Purwanto, and Nora Herdiana Pandjaitan. "Analisis Kesesuaian Lokasi Bendung Kecil dan Daerah Pemanenan Air Hujan (PAH) dengan Menggunakan Sistem Informasi Geogerafis (SIG) di Wilayah Perkotaan." TATALOKA 22, no. 2 (May 29, 2020): 188–201. http://dx.doi.org/10.14710/tataloka.22.2.188-201.

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Assessment of site suitability for water harvesting in Sentul City is an important, because the Sentul City area often problems with water supply and is expected to prediction a water deficit in 2050, other problems are floods often occur in the downstream during the rainy season. This study aims to analyze the suitability of the location for small dam and reservoirs determine the number of small dam and reservoirs that can be built in Sentul City based on location suitability maps. Identifying locations for the construction of small dam and reservoirs can use of Geographic Information System (GIS), the approach used multi criteria analysis and weighted overlay techniques with software ArcGIS. Six criteria were considered for this study, which include topographic factors (slope), land use, soil texture, rainfall, and distance to the river and distance to the road. The multi criteria analysis approach, each criterion was assigned a weight with slope being considered as the most important factor. Weighted overlay analysis was performed in ArcGIS and determination of suitable small dam and reservoir site was done from the summation of weight of each contributing factor. A final suitability map was generated which indicated that 34% of the total study area showed that the area was not suitable, 31% highly suitable, 27% was suitable, 6% was moderately suitable and 2% was low suitable for dam construction. Based on suitable map, 5 (five) samall dam and 9 (nine) reservoir can be used to water harvesting that can be used as raw water sources in Sentul City.

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Karimimoshaver, Mehrdad, Hatameh Hajivaliei, Manouchehr Shokri, Shakila Khalesro, Farshid Aram, and Shahab Shamshirband. "A Model for Locating Tall Buildings through a Visual Analysis Approach." Applied Sciences 10, no. 17 (September 2, 2020): 6072. http://dx.doi.org/10.3390/app10176072.

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Tall buildings have become an integral part of cities despite all their pros and cons. Some current tall buildings have several problems because of their unsuitable location; the problems include increasing density, imposing traffic on urban thoroughfares, blocking view corridors, etc. Some of these buildings have destroyed desirable views of the city. In this research, different criteria have been chosen, such as environment, access, social-economic, land-use, and physical context. These criteria and sub-criteria are prioritized and weighted by the analytic network process (ANP) based on experts’ opinions, using Super Decisions V2.8 software. On the other hand, layers corresponding to sub-criteria were made in ArcGIS 10.3 simultaneously, then via a weighted overlay (map algebra), a locating plan was created. In the next step seven hypothetical tall buildings (20 stories), in the best part of the locating plan, were considered to evaluate how much of theses hypothetical buildings would be visible (fuzzy visibility) from the street and open spaces throughout the city. These processes have been modeled by MATLAB software, and the final fuzzy visibility plan was created by ArcGIS. Fuzzy visibility results can help city managers and planners to choose which location is suitable for a tall building and how much visibility may be appropriate. The proposed model can locate tall buildings based on technical and visual criteria in the future development of the city and it can be widely used in any city as long as the criteria and weights are localized.

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Ahmed, A. "GIS and Remote Sensing for Malaria Risk Mapping, Ethiopia." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 27, 2014): 155–61. http://dx.doi.org/10.5194/isprsarchives-xl-8-155-2014.

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Integrating malaria data into a decision support system (DSS) using Geographic Information System (GIS) and remote sensing tool can provide timely information and decision makers get prepared to make better and faster decisions which can reduce the damage and minimize the loss caused. This paper attempted to asses and produce maps of malaria prone areas including the most important natural factors. The input data were based on the geospatial factors including climatic, social and Topographic aspects from secondary data. The objective of study is to prepare malaria hazard, Vulnerability, and element at risk map which give the final output, malaria risk map. The malaria hazard analyses were computed using multi criteria evaluation (MCE) using environmental factors such as topographic factors (elevation, slope and flow distance to stream), land use/ land cover and Breeding site were developed and weighted, then weighted overlay technique were computed in ArcGIS software to generate malaria hazard map. The resulting malaria hazard map depicts that 19.2 %, 30.8 %, 25.1 %, 16.6 % and 8.3 % of the District were subjected to very high, high, moderate, low and very low malaria hazard areas respectively. For vulnerability analysis, health station location and speed constant in Spatial Analyst module were used to generate factor maps. For element at risk, land use land cover map were used to generate element at risk map. Finally malaria risk map of the District was generated. Land use land cover map which is the element at risk in the District, the vulnerability map and the hazard map were overlaid. The final output based on this approach is a malaria risk map, which is classified into 5 classes which is Very High-risk area, High-risk area, Moderate risk area, Low risk area and Very low risk area. The risk map produced from the overlay analysis showed that 20.5 %, 11.6 %, 23.8 %, 34.1 % and 26.4 % of the District were subjected to very high, high, moderate, low and very low malaria risk respectively. This help to plan valuable measures to be taken in early warning, monitor, control and prevent malaria epidemics.

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Mahmood, Khalid, and Muhammad Asim. "Appraisal of Drinking Water Quality in Lahore Residence, Pakistan." Pakistan Journal of Scientific & Industrial Research Series A: Physical Sciences 60, no. 1 (February 28, 2017): 34–41. http://dx.doi.org/10.52763/pjsir.phys.sci.60.1.2017.34.41.

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A comprehensive study for the spatial distribution of drinking water quality had been conductedfor residential area of Lahore, Pakistan. The study had made use of the geographic information system(GIS) for geographical representation and spatial analysis of groundwater quality. Physicochemicalparameters including electric conductivity, pH, TDS, Cl, Mg, Ca, alkalinity and bicarbonates from 73 ofthe water samples had been included in the analysis. Water quality data had been geo-referenced followedby its interpolation using inverse distance weighted (IDW) for each of the parameters. Very high alkalinityand bicarbonates values were observed in most parts of the area. For the comprehensive view, water qualityindex map had been prepared using weighted overlay analysis (WOA). The water quality index map wasclassified into five zones of excellent, good, poor, very poor and unfit for drinking as per WHO standardsof drinking water. 21% region had excellent quality of the underground water and 50% was found goodfor drinking. Poor quality of water was found in southeastern part, covering 27% of the study area. Only2% of the area was found under the very poor and unfit water quality conditions for drinking.

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Shao, Zhenfeng, Zahid Jahangir, Qazi Muhammad Yasir, Atta-ur-Rahman, and Shakeel Mahmood. "Identification of Potential Sites for a Multi-Purpose Dam Using a Dam Suitability Stream Model." Water 12, no. 11 (November 19, 2020): 3249. http://dx.doi.org/10.3390/w12113249.

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Optimal site selection of a dam is one of the crucial tasks in water resource management. In this study, a dam suitability stream model (DSSM) is utilized to identify potential sites for constructing multi-purpose dams. In DSSM, each input parameter is weighted using the analytic hierarchy process (AHP), and then weighted overlay analysis is performed in a Geographical Information System (GIS) environment. Compared to the previous studies, this study showed different results based on the crucial parameter that is “stream order”. Two resultant site suitability maps are prepared to differentiate the importance of stream order. Each of the resulting maps visualizes four classes of suitability from highly suitable to least suitable. The proposed sites will store water for a variety of uses at the local and regional level and reduce flood risk, which can be very useful for hydrologists and disaster risk managers.

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Ali, Khalid Ahmed. "Geospatial Hydrological Analysis in GIS Environment for Selecting Potential Water Harvest Sites: The Case of Badrah –Wasit." Journal of University of Babylon for Engineering Sciences 26, no. 2 (January 2, 2018): 328–37. http://dx.doi.org/10.29196/jub.v26i2.574.

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In this study, GIS technique and remote sensing data have been integrated to createa suitability map for the probable sites of water harvesting in Badrah-Wasit, EasternIraq.Hydrological analysis used to find the potential water-harvesting sites, as well as to improve the water resource management. In this research, five criteria have been used, which is astream order, slope, distance to roads, rainfall and Normalized Difference Vegetation Index. These thematic layerswere evaluated with the multi-criteria analysis method, then combine and process together using weighted overlay method, then assigned suitable weights and integrated into a GIS to generate a suitability map.As a result, the region has been classified into three zones: high suitability zone (2%), moderate suitability zone (27%), and low suitability zone (35%) depending on the specific criteria used for this purpose and have high potential in terms of their suitability for water harvesting.

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Nikolova, V., and P. Zlateva. "GEOINFORMATION APPROACH FOR COMPLEX ANALYSIS OF MULTIPLE NATURAL HAZARD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 375–81. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-375-2018.

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Abstract. Natural hazards are existence of natural components and processes, which create a situation that could negatively affect people, the economy and the environment. In this concern, they are associated with the probability of negative impacts and they are considered as limiting factors for people's lives and activities. Rising public awareness about natural hazards could improve the quality of life, save financial resources and even save lives. Methodological issues of complex analysis of multiple natural hazards in geographic information system (GIS) environment are presented in the current paper on the example of floods and landslide assessment. The complicated nature of natural hazards and the interrelations between natural components require a complex analysis of natural hazard factors and an integrated assessment taking into account all aspects of different hazards as well as the overall hazard resulting from a probable simultaneous occurrence of several adverse natural phenomena. A special attention is given to the data as one of the most important component of the analysis. Different data formats and particularities of spatial data interpretation in GIS environment are considered. Having regard the nature of the data and the phenomenon being evaluated, different GIS spatial analysis tools (fuzzy overlay, weighted sum, interpolation) are applied together with mathematical analyses. The results of the current research and suggested approach could support decision makers in territorial planning and risk management.

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Ghosh, Paban, and Kabita Lepcha. "Weighted linear combination method versus grid based overlay operation method – A study for potential soil erosion susceptibility analysis of Malda district (West Bengal) in India." Egyptian Journal of Remote Sensing and Space Science 22, no. 1 (April 2019): 95–115. http://dx.doi.org/10.1016/j.ejrs.2018.07.002.

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Ahmadi, Mohammad Mehdi, Hadi Mahdavirad, and Bahram Bakhtiari. "Multi-criteria analysis of site selection for groundwater recharge with treated municipal wastewater." Water Science and Technology 76, no. 4 (May 15, 2017): 909–19. http://dx.doi.org/10.2166/wst.2017.273.

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Geographic information systems (GIS) and remote sensing techniques are used as a decision support system to identify potential soil aquifer treatment (SAT) sites for groundwater recharge of Kerman aquifer, which is located in the southeast of Iran. These sites are identified using a single-objective multi-criteria analysis. To ensure technical feasibility, environmental sustainability, social acceptability and economical viability a number of criteria are considered for the site selection. The criteria selected for the different variables and acceptable ranges are based on standards published in national and international guidelines and technical documents. Multi-criteria evaluation was performed combining all produced thematic maps by means of the weighted index overlay method in order to select sites meeting all the criteria. The resulting map of this analysis shows potential sites are located in the north, southwest and southeast of the study area. Considering field observations, a potential site, which is located in the southwest of the study area, is proposed as the most suitable site for SAT. The result indicates that the study area has sufficient required suitable space for groundwater recharge with treated wastewater.

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Kaliraj, S., N. Chandrasekar, and N. S. Magesh. "Evaluation of multiple environmental factors for site-specific groundwater recharge structures in the Vaigai River upper basin, Tamil Nadu, India, using GIS-based weighted overlay analysis." Environmental Earth Sciences 74, no. 5 (April 9, 2015): 4355–80. http://dx.doi.org/10.1007/s12665-015-4384-9.

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Wardani, Nindya Ayu, Baba Barus, and Siti Nurisyah. "Analisis Eksistensi Benda Cagar Budaya Dalam Tata Ruang Kota Guna Mendukung Pelestariannya di Kota Surakarta." TATALOKA 22, no. 2 (May 29, 2020): 146–61. http://dx.doi.org/10.14710/tataloka.22.2.146-161.

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The City of Surakarta, one of National Activity Center and also known as Eco Cultural City, has 171 cultural heritage objects have to be preserved. City development that leads to modernization, physically, is a threat to the existence of those cultural heritage objects.To minimize lost of these valuable objects, risk management method, which is based on the interaction between their vulnerability and hazard, could be carried out. This study was aimed to identify and categorize cultural heritage objects at the city, to analyze the risk of losing of cultural heritage objects, and to recommend future city spatial planning in relation to cultural heritage objects. This research was conducted through visual classification techniques on high resolution satellite imagery, Weighted Overlay, Overlay Analysis and Descriptive Analysis. Surakarta City's cultural heritage objects mostly have 100-200 years old which is dominated by traditional Javanese architectural styles. Cultural heritage objects are not fully in good condition, as many as 35 units were partially damaged, 9 units suffered total damage, and 5 units have experienced modernization. A total of 33 cultural heritage objects covered an area of 886,556 square meters (46.09%) are at a high risk of losing their existence. To protect the existence of cultural heritage, the result research should to considered of the city developtment program.

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Mugiyo, Hillary, Vimbayi G. P. Chimonyo, Mbulisi Sibanda, Richard Kunz, Luxon Nhamo, Cecelia R. Masemola, Caroline Dalin, Albert T. Modi, and Tafadzwa Mabhaudhi. "Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa." PLOS ONE 16, no. 1 (January 19, 2021): e0244734. http://dx.doi.org/10.1371/journal.pone.0244734.

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Several neglected and underutilised species (NUS) provide solutions to climate change and creating a Zero Hunger world, the Sustainable Development Goal 2. Several NUS are drought and heat stress-tolerant, making them ideal for improving marginalised cropping systems in drought-prone areas. However, owing to their status as NUS, current crop suitability maps do not include them as part of the crop choices. This study aimed to develop land suitability maps for selected NUS [sorghum, (Sorghum bicolor), cowpea (Vigna unguiculata), amaranth and taro (Colocasia esculenta)] using Analytic Hierarchy Process (AHP) in ArcGIS. Multidisciplinary factors from climatic, soil and landscape, socio-economic and technical indicators overlaid using Weighted Overlay Analysis. Validation was done through field visits, and area under the curve (AUC) was used to measure AHP model performance. The results indicated that sorghum was highly suitable (S1) = 2%, moderately suitable (S2) = 61%, marginally suitable (S3) = 33%, and unsuitable (N1) = 4%, cowpea S1 = 3%, S2 = 56%, S3 = 39%, N1 = 2%, amaranth S1 = 8%, S2 = 81%, S3 = 11%, and taro S1 = 0.4%, S2 = 28%, S3 = 64%, N1 = 7%, of calculated arable land of SA (12 655 859 ha). Overall, the validation showed that the mapping exercises exhibited a high degree of accuracies (i.e. sorghum AUC = 0.87, cowpea AUC = 0.88, amaranth AUC = 0.95 and taro AUC = 0.82). Rainfall was the most critical variable and criteria with the highest impact on land suitability of the NUS. Results of this study suggest that South Africa has a huge potential for NUS production. The maps developed can contribute to evidence-based and site-specific recommendations for NUS and their mainstreaming. Also, the maps can be used to design appropriate production guidelines and to support existing policy frameworks which advocate for sustainable intensification of marginalised cropping systems through increased crop diversity and the use of stress-tolerant food crops.

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Mideksa, Girma, and Tasisa Temesgen Tolossa. "Irrigation Water Potential and Land Suitability Assessment in Kurfa Chele-Girawa Watershed, Wabe Shebelle River Basin, Ethiopia." Turkish Journal of Agriculture - Food Science and Technology 8, no. 1 (January 29, 2020): 139. http://dx.doi.org/10.24925/turjaf.v8i1.139-146.2863.

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Assessing available water and land for irrigation are important for planning their use. In the watershed, stream flows from some of the rivers are not known and potential irrigable areas have not been identified. By delineating watershed boundary, irrigation suitability factors such as soil type, slope, land cover/use, and distance from the water supply were classified based on the FAO guideline for land evaluation in to S1, S2, S3 and N suitability classes independently. The irrigation potential suitability analysis of soil, slope, land cover/use and Euclidean distance indicates that 55.1 %, 95.6 %, 88.6% and 93.7% respectively are in the range of highly to marginally suitable. By weighted overlay analysis, total surface irrigation suitability potential of the study area is 54.6%, from this, the potential irrigable land obtained by multi_ criteria analysis has 45.9%. The total available flow above abstraction site is 335.7m3/s or 2.9-million-meter cube (MMC) annually.

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Mundalik, Vaishnavi, Clinton Fernandes, Ajaykumar Kadam, and Bhavana Umrikar. "Integrated Geomorphological, Geospatial and AHP Technique for Groundwater Prospects Mapping in Basaltic Terrain." Hydrospatial Analysis 2, no. 1 (June 2018): 16–27. http://dx.doi.org/10.21523/gcj3.18020102.

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Groundwater is an important source of drinking water in rural parts of India. Because of the increasing demand for water, it is essential to identify new sources for the sustainable development of this resource. The potential mapping and exploration of groundwater resources have become a breakthrough in the field of hydrogeological research. In the present paper, a groundwater prospects map is delineated for the assessment of groundwater availability in Kar basin on basaltic terrain, using remote sensing and Geographic Information System (GIS) techniques. Various thematic layers such as geology, slope, soil, geomorphology, drainage density and rainfall are prepared using satellite data, topographic maps and field data. The ranks and weights were assigned to each thematic layer and various categories of those thematic layers using AHP technique respectively. Further, a weighted overlay analysis was performed by reclassifying them in the GIS environment to prepare the groundwater potential map of the study area. The results show that groundwater prospects map classified into three classes low, moderate and high having area 17.12%, 38.26%, 44.62%, respectively. The overlay map with the groundwater potential zones in the study area has been found to be helpful for better planning and managing the resources.

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Ancheta, Menzuela Hidalgo. "Distribution modeling of Rafflesia schadenbergiana and Rafflesia consueloea using multi criteria decision analysis-analytical hierarchy process in GIS." Journal of Degraded and Mining Lands Management 8, no. 4 (June 1, 2021): 2903–9. http://dx.doi.org/10.15243/jdmlm.2021.084.2903.

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The identification of potential habitats of the largest and smallest flowering parasitic Rafflesia in the Philippines is a prerequisite in conservation of species and preservation of their habitats which have been being degraded due to anthropogenic activities and climate change. This research aimed at revealing the possible habitat suitability for Rafflesia schadenbergiana Göppert ex Hieron and Rafflesia consueloae Galindon, Ong Fernando throughout the Philippines using Geographic Information Systems (GIS). The selection criteria in this research were based on four parameters (elevation, annual rainfall, temperature, and land use / land classification) identified during the extensive literature review. The generated map shows that the optimal growth of the Rafflesia schadenbergiana can be observed with a temperature range of 20–22°C while Rafflesia consueloae can thrive within 24°C to 25°C. The importance of these criteria was evaluated using a pairwise comparison method and the final weight was computed for each criterion. Setting up of the values suiting the subject species was followed by weighted overlay analysis. The final output is the distribution and habitat suitability of the subject species.

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Hussain, Alamgeer, Mobushir Riaz Khan, Naeem Abbas Malik, Muhammad Amin, Mazhar Hussain Shah, and Muhammad Naveed Tahir. "GIS based mapping and analysis of landslide hazard’s impact on tourism: a case study of Balakot valley, Pakistan." International Journal of Advanced Geosciences 5, no. 2 (November 4, 2017): 116. http://dx.doi.org/10.14419/ijag.v5i2.8335.

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The Landslide occurs in mountainous area due to failure of slope through intensive rain and earthquake. Region wise Himalayan is one of prone area of world in context of slope failure hazard; i.e. Landslide, especially Balakot valley is well known for damage of public infrastructure, roads and badly affected the tourism sector. The objective of this study is to develop landslide hazard map and database inventory of balakot tehsil and identify the Tourist resorts landslide hazard condition and hazard prone road site and developed guidelines for tourist about hazardous site and their intensity of landside, which could be useful for tourism sector and sustainable development in balakot valley. In this study we used weighted overlay analysis in arc GIS environment on primary and secondary data raster layers, like slope map, Slope Aspect map, precipitation and seismic raster maps were used to develop landslide hazard zonation map of balakot tehsil. Slope and Aspect map were developed using 30 meter aster digital elevation model. Precipitation map were developed through Inverse Distance weighted (IDW) interpolation method on annual precipitation data acquired from Pakistan meteorological department. Seismic map were acquired from Geological Survey of Pakistan (GSP). Landslide zonation map has three hazards class high, Medium and low. The landslide exposure of high hazard class 499 sq.km while, Medium class 1016 sq.km and low hazard class having 749 sq. km exposure in balakot tehsil respectively. Landslide hazard zonation mapping using GIS and RS is the best way to assess the risk of landslide hazard in mountainous areas. The study recommended that ground penetrating radar (GPR) and soil testing based research well help to understand in-depth of landslide hazard condition in balakot valley.

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Yılmazer, Erkan, Murat Kavurmaci, and Sercan Bozan. "Using an analytic hierarchy process-based index and geographic information system in geochemical exploration of gold." Geochemistry: Exploration, Environment, Analysis 21, no. 3 (June 3, 2021): geochem2021–013. http://dx.doi.org/10.1144/geochem2021-013.

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In this study, a gold exploration index (GEI) that reduces financial expenditure and time losses during exploration studies has been developed using the analytical hierarchy process in a region where a high-sulfidation epithermal gold (Au) deposit exists. The GEI can be used to predict the location of the target element by evaluating the maps obtained from related element distributions together with a GEI-based prediction map. The hierarchical structure of the index has been established based on geochemistry of the rock samples. The elements used in the design of the hierarchical structure are arsenic (As), silver (Ag), antimony (Sb), copper (Cu), manganese (Mn), lead (Pb) and zinc (Zn), which are determined by the correlation analysis and experts’ opinions. The efficiency scores of the alternatives are converted into prediction maps called GEI-based anomaly distribution maps. These are compared with the maps derived from both geographic information system-based overlay analysis of the rock samples and spatial gold distribution. The efficiency scores of the alternatives in these maps are categorized into three groups as ‘high’, ‘medium’ and ‘weak’ in terms of gold potential. Comparison of the results with those derived using principal component analysis, weighted sum and weighted product models shows that the produced index yields reliable information that can be used to determine where gold enrichment occurs, especially in high-sulfidation epithermal environments.Supplementary material: Geochemical analysis results are available at https://doi.org/10.6084/m9.figshare.c.5443218

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J. U., Richard, and Chima Ogba. "SITE SELECTION ANALYSIS FOR SUITABLE AQUACULTURE FISH POND IN ANDONI L.G.A. RIVERS STATE, NIGERIA." International Journal of Research -GRANTHAALAYAH 4, no. 3 (March 31, 2016): 219–32. http://dx.doi.org/10.29121/granthaalayah.v4.i3.2016.2806.

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The Andoni Rivers, Creeks, and Lagoon have been under stress due to over fishing which has led to the extinction of many fishes and other aquatic species. The extinction of fish has also led to the modification of fishing methods from the previously known methods such as cast net, drag net, hook and line etc to a more sophisticated method like the cover bush, and Oyima in the big Rivers. The shortage of fish in the Rivers has also discourage youths from engaging themselves in fishing rather they choose to involved in crude oil theft, arm robbery, and kidnapping that are anti-people. This study utilizes GIS software and remote sensing technology for aquaculture site selection analysis in Andoni LGA, Rivers State, Nigeria that will create direct and indirect employment opportunities to the men, women, and the youths thereby eradicating youth’s restiveness in the area. The dataset used for the study are 2002 Landsat image, DEM data, and settlements point data. The software used is ArcGIS 10.1 for weighted over analysis and IDRISI TAIGA 16.0 for image classification. The three criteria (land use/ cover, DEM, settlement) were weighted in the weighted overlay tool with percentage of influence for lu/lc 40%, DEM 20%, and settlement 40%. The suitability model for aquaculture ponds was produced with seven (7) classes from not suitable class value “o” to very highly suitable class with value “6”. The very highly suitable class is made-up of 51 polygons with a total area of 278.1 Ha. this represents 1.0% of the total area (32928.4 Ha.), occurring more in the south and few in the northern map position along the Rivers. It was observed that the 51 polygons all have area that can support aquaculture ponds and also the location of it can support fresh and salt water ponds. The class o (not suitable) represents the water body in the study area covering an area of 8099.0 Ha. this represents 29.15% of the land area. It is not suitable because aquaculture cannot be sited in the water body since its serves as the food basket of the people. This study therefore justified that GIS and remote sensing integration can be used for aquaculture site selection because of the spatial components inherent in the criteria. The Local Government Authority should considered aquaculture programmes as key to the eradication of unemployment and youths restiveness through direct investment in the sector.

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Das, Raja, Arpita Nandi, Andrew Joyner, and Ingrid Luffman. "Application of GIS-Based Knowledge-Driven and Data-Driven Methods for Debris-Slide Susceptibility Mapping." International Journal of Applied Geospatial Research 12, no. 1 (January 2021): 1–17. http://dx.doi.org/10.4018/ijagr.2021010101.

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Debris-slides are fast-moving landslides that occur in the Appalachian region including the Great Smoky Mountains National Park (GRSM). Various knowledge and data-driven approaches using spatial distribution of the past slides and associated factors could be used to estimate the region's debris-slide susceptibility. This study developed two debris-slide susceptibility models for GRSM using knowledge-driven and data-driven methods in GIS. Six debris-slide causing factors (slope curvature, elevation, soil texture, land cover, annual rainfall, and bedrock discontinuity), and 256 known debris-slide locations were used in the analysis. Knowledge-driven weighted overlay and data-driven bivariate frequency ratio analyses were performed. Both models are helpful; however, each come with a set of advantages and disadvantages regarding degree of complexity, time-dependency, and experience of the analyst. The susceptibility maps are useful to the planners, developers, and engineers for maintaining the park's infrastructures and delineating zones for further detailed geo-technical investigation.

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R, Shyam Sundar Raj, Murugasan Rajiah, and Venkatesan Chinnappa. "Master Plan Preparation for Arakkonam Town using Remote Sensing and GIS." Journal of Civil Engineering and Construction 7, no. 3 (August 30, 2018): 115. http://dx.doi.org/10.32732/jcec.2018.7.3.115.

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The main objective of this paper is to prepare a master plan for Arakkonam town in India. The study illustrates the use of Geographic Information System (GIS) and Multicriteria evaluation (MCE) technique for the selection of suitable sites in the study area for urban development. Google Earth and Toposheet were used to generate various thematic layers using ArcGIS software. Soil, geology, geomorphology, groundwater, rail network, road network and land use/land cover layers were integrated and weighted overlay analysis was performed to arrive at the final site suitability map. The master plan was prepared by projecting the population for next 20 years by Geometric Growth Method for the study area and planning zones such as Residential, Commercial, Industrial, Educational and Recreational were delineated as per Urban and Regional Development Plans Formulation and Implementation (URDPFI) guidelines.

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Asami, Yasushi, and Tamiki Ohtaki. "Prediction of the Shape of Detached Houses on Residential Lots." Environment and Planning B: Planning and Design 27, no. 2 (April 2000): 283–95. http://dx.doi.org/10.1068/b2629.

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In this paper we develop a model that predicts the shape of detached houses from the shape of residential lots by introducing the framework of the associative memory model. The model is based on the idea that, if the shapes of lots are similar, then the positions of associated houses may also be similar. To this effect, “similarity indices” of lots are devised and transformed into probabilities. The overlay of sample house positions weighted by the probabilities predicts the probability density for each point in the lot covered by a house. The model is tested empirically with data from Hiratsuka city in the Kanagawa prefecture in Japan. The results of its sensitivity analysis by gradually changing the lot shape reproduces the actual tendencies of allocation of houses and yards for lots of limited area.

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Yi, Yaning, Zhijie Zhang, Wanchang Zhang, Qi Xu, Cai Deng, and Qilun Li. "GIS-based earthquake-triggered-landslide susceptibility mapping with an integrated weighted index model in Jiuzhaigou region of Sichuan Province, China." Natural Hazards and Earth System Sciences 19, no. 9 (September 11, 2019): 1973–88. http://dx.doi.org/10.5194/nhess-19-1973-2019.

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Abstract. A Mw=6.5 earthquake struck the Jiuzhaigou region of Sichuan Province, China, at 21:19 LT on Tuesday, 8 August 2017, and triggered a large number of landslides. For mitigating the damages of earthquake-triggered landslides to individuals and infrastructures of the earthquake-affected region, a comprehensive landslide susceptibility mapping was attempted with an integrated weighted index model by combining the frequency ratio and the analytical hierarchy process approaches under a GIS-based environment in the heavily earthquake-affected Zhangzha town of the Jiuzhaigou region. For this purpose, a total number of 842 earthquake-triggered landslides were visually interpreted and located from Sentinel-2A images acquired before and after the earthquake at first, and then the recognized landslides were randomly split into two groups to establish the earthquake-triggered landslide inventory, among which 80 % of the landslides were used for training the integrated model and the remaining 20 % for validation. Nine landslide controlling factors were considered including slope, aspect, elevation, lithology, distance from faults, distance from rivers, land use–land cover, normalized difference vegetation index and peak ground acceleration. The frequency ratio was utilized to evaluate the contribution of each landslide controlling factor to landslide occurrence, and the analytical hierarchy process was used to analyse the mutual relationship between landslide controlling factors. Finally, the landslide susceptibility map was produced by using weighted overlay analysis. Furthermore, an area under the curve approach was adopted to comprehensively evaluate the performance of the integrated weighted index model, including the degree of model fit and model predictive capability. The results demonstrated the reliability and feasibility of the integrated weighted index model in earthquake-triggered landslide susceptibility mapping at a regional scale. The generated map can help engineers and decision makers assess and mitigate hazards of the earthquake-triggered landslides to individuals and infrastructures of the earthquake-affected region.

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Zolekar, Rajendra, and Vijay Bhagat. "Multi-Criteria Land Suitability Analysis for Plantation in Upper Mula and Pravara Basin: Remote Sensing and GIS Approach." Journal of Geographical Studies 2, no. 1 (December 30, 2018): 12–21. http://dx.doi.org/10.21523/gcj5.18020102.

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Assessment of land suitability potentials is an important step to detect the environmental limit for sustainable land management (SLM). Land suitability analysis (LSA) is more suitable, beneficial and environmentally acceptable for SLM. It deals with the assessment of land performances for the specific use like agriculture, plantation, etc. The main objective of the present study was to determine the suitable areas for plantation in the Upper Mula and Pravara Basin. GIS based Analytic Hierarchy Process (AHP) was used to analyze land suitability for plantation. Criterion like slope, LULC, depth, texture, moisture, SOC, MWHC, pH, EC and primary nutrients were used. Pairwise comparison matrix was used for calculation of weights for criterion and scores were assigned to sub-criterion using field work, experts’ opinions and literature review. Weighted overlay analysis was used for final output raster map. Then cell values of raster map were divided into four classes i.e. 9, 7, 4 and 1. Finally, these classes have reclassified into four suitability levels according to FAO. About 5% of reviewed land is highly suitable, 23% moderately suitable, 14% marginally suitable and 58% not suitable for plantation in the region.

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Goparaju, Laxmi, Firoz Ahmad, and Debadityo Sinha. "Spatial Analysis of Wildlife Habitat around Madihan forests of Mirzapur district, Uttar Pradesh in India, using Geospatial Technology." Folia Forestalia Polonica 60, no. 1 (March 1, 2018): 73–79. http://dx.doi.org/10.2478/ffp-2018-0007.

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Abstract The tropical dry deciduous forests of Mirzapur district in Uttar Pradesh (state) in India are facing to severe threat from agricultural expansion, increased urbanisation, infrastructure development and unsustainable use of forest produce. The forests are nowadays fragmented and wildlife habitat is vanishing. Decreasing numbers of wild animal species requires using methods for preventing the loss of biodiversity. The present study concerns analysis of satellite remote sensing data of Landsat OLI (2013) in conjunction with Geographic Information System (GIS) and support of Geographic Positioning System (GPS) to identify suitable habitat for wild animals. The thematic maps regarding e.g. land use, forest cover type were prepared. The weighted overlay method was used for integration of the thematic layers for identification of potential habitat and corridors for wildlife movement. Most suitable (2.54%), moderately suitable (12.0%) and least suitable (16.20%) areas were delineated and represented in a map. Highly suitable habitat was found at Dadri and Kotwa forest; moderately suitable habitat was found in Darhi Ram forests. Least suitable areas were found in Kotwa and Patewar forests. Such data are the basis to assess the wildlife conservation measures.

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Babu, Md Abu Hamjalal, Md Risadul Islam, Fahim Farzana, Muhammad Jasim Uddin, and Md Sirajul Islam. "Application of GIS and Remote Sensing for Identification of Groundwater Potential Zone in the Hilly Terrain of Bangladesh." Grassroots Journal of Natural Resources 3, no. 3 (September 15, 2020): 16–27. http://dx.doi.org/10.33002/nr2581.6853.03032.

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Groundwater is the most significant assets on the planet and is declining continuously. The integration of GIS system and remote sensing turned into substantial tools in the field of subsurface water study, which assists in surveying, observing and monitoring the groundwater capitals. With this backdrop, using GIS and remote sensing application, a study was conducted to identify the potential groundwater zones in the hilly district Khagrachhari. The ground water potential zones were identified based on different thematic maps such as drainage, density, lineament density, slope, land use or land cover, soil and geology by using weighted overlay analysis. The groundwater potential zones were investigated orderly into four classes known as poor, moderate, good and very good. This groundwater potential information will work as a guideline to the concerned local authority to identify effectively the suitable locations for the extraction of groundwater.

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Nita, Istika, Aditya Nugraha Putra, and Alia Febrianingtyas. "Analysis of drought hazards in agricultural land in Pacitan Regency, Indonesia." SAINS TANAH - Journal of Soil Science and Agroclimatology 17, no. 1 (June 29, 2020): 7. http://dx.doi.org/10.20961/stjssa.v17i1.35688.

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Pacitan Regency is a region in East Java Province with varied landforms and high disaster potential, including drought. The drought hazard in this region has not yet been determined. This study was conducted to analyze the potential of drought in Pacitan Regency in 2018 with the previous two decades (1998 and 2008) to predict future droughts. The study also focused on verifying how land-use changes impact drought potential. Mapping drought potential was based on the Ministry of Forestry method and was modified for this study. Drought potential was determined by scoring features and analyzing with a weighted overlay. Reference parameters and patterns of land-use change, as determined by Landsat 5, 7, and 8 satellite imagery, were analyzed. Then, the changing pattern was used to predict future 2030 land-use patterns using business as usual (BAU) analysis. For comparison, a land-use analysis was also done using the land capability class (LCC) and regional spatial plan (RSP). Data was validated using a confusion matrix. The accuracy of the drought estimation for Pacitan Regency was 75%. The results showed that the drought potential high and very-high level risk groups increased. The increase occurred due to changes in land use, specifically land management and plant species selection. Based on the results of the predicting BAU analysis, the level of potential of drought will increase by 2030. The regional spatial plan (RSP) and LCC analysis determined that, with no drought intervention, drought hazard in Pacitan Regency will increase.

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Ghosh, Poulomee Arun, and Pratap M. Raval. "Modelling urban mixed land-use prediction using influence parameters." GeoScape 15, no. 1 (June 1, 2021): 66–78. http://dx.doi.org/10.2478/geosc-2021-0006.

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Abstract Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.

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Fagbohun, B. J., and O. O. Aladejana. "Integrating knowledge-based multi-criteria evaluation techniques with GIS for landfill site selection: A case study using AHP." Materials and Geoenvironment 63, no. 3 (September 1, 2016): 169–82. http://dx.doi.org/10.1515/rmzmag-2016-0016.

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Abstract A major challenge in most growing urban areas of developing countries, without a pre-existing land use plan is the sustainable and efficient management of solid wastes. Siting a landfill is a complicated task because of several environmental regulations. This challenge gives birth to the need to develop efficient strategies for the selection of proper waste disposal sites in accordance with all existing environmental regulations. This paper presents a knowledge-based multi-criteria decision analysis using GIS for the selection of suitable landfill site in Ado-Ekiti, Nigeria. In order to identify suitable sites for landfill, seven factors - land use/cover, geology, river, soil, slope, lineament and roads - were taken into consideration. Each factor was classified and ranked based on prior knowledge about the area and existing guidelines. Weights for each factor were determined through pair-wise comparison using Saaty’s 9 point scale and AHP. The integration of factors according to their weights using weighted index overlay analysis revealed that 39.23 km2 within the area was suitable to site a landfill. The resulting suitable area was classified as high suitability covering 6.47 km2 (16.49%), moderate suitability 25.48 km2 (64.95%) and low suitability 7.28 km2 (18.56%) based on their overall weights.

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Multaniya, Amit P., Sanju Verma, and M. K. Beg. "ASSESSMENT OF SUITABLE LANDFILL SITE USING GEOSPATIAL TECHNIQUES: A CASE STUDY OF RAIPUR URBAN REGION, CHHATTISGARH, INDIA." International Journal of Research -GRANTHAALAYAH 9, no. 3 (March 30, 2021): 132–48. http://dx.doi.org/10.29121/granthaalayah.v9.i3.2021.3778.

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Currently, the solid waste management work of Raipur is being done in a completely traditional way, which is very expensive and time consuming. The site selection method using Geospatial techniques can function as a decision support tool for enhanced efficient and effective management of municipal solid waste. This Study’s aim was to develop landfill siting by crossing major barriers such as political, economic and environmental pressures for the execution of a suitable site criteria by employing combination of geospatial technique and Weighted Linear Combination (WLC) of Multi-Criteria Decision Analysis (MCDA) in Raipur urban area. The preliminary step of the methodology was geospatial operation and Study that disqualified all areas unsuitable for landfill siting. The insularity of suitable criteria for landfill site was generated based on published information on solid waste management, existing laws and regulatory necessities, as well as the existing local conditions. The different suitability criteria considered are soil, land use land cover, digital elevation model (DEM), surface waters, transport network, lithology and geological structures. Criteria were mapped using the geospatial technique; each criterion was identified and weighted by score for overlay to create suitability maps using GIS. The final results showed that there are more locations for landfills for Raipur urban area. In the present Study there are sporadic areas identified as suitable sites for landfill location. In the site suitability analysis 74.79% area found not suitable for landfill siting, 20.93% least suitable and 3.25% moderate suitable. Out of the remaining area, 1.03% area is found most suitable.

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Shyju, K., and K. Kumaraswamy. "EXPLORATION OF LAND RESOURCES FOR ANALYSING THE SUITABILITY OF SELECTED CROPS IN AN ADMINISTRATIVE UNIT OF THRISSUR DISTRICT, KERALA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 435–37. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-435-2019.

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Abstract. The fitness of land for a defined use is termed as land suitability. The aim of the study is to find the land suitability of for selected crops examining the indicators of land suitability. The study focuses on analysing suitability of agricultural crops in Pazhayannur Block of Thrissur District. Pazhayannur is the administrative unit (block) in the east of the Talapilli Taluk of Thrissur District in Kerala. The physical and chemical characteristics of the soils of Pazhayannur block like texture, depth, slope, erosion, pH, salinity and soil available primary nutrients (NPK), secondary nutrients and micronutrients are identified. The slope of the terrain using Cartosat-Digital Elevation Model, soil erosion, rainfall and land capability is analysed for suitability classification. Land suitability is studied for the selected crops like paddy, banana, coconut, and rubber. The weighted overlay analysis in GIS is adopted for the analysis. The parameters are weighted based on its class and its influence in suitability of specific crops. The results on agricultural land suitability for individual crops were divided into 5 categories according to the land suitability classification of the United Nations Food and Agriculture Organization (FAO). It is identified that Pazhayannur has potential for the cultivation of the selected crops. The crops show high suitability (S1) in minor proportion and moderate suitability (S2) is found in 30 percent and above and marginal suitability (S3) is noticed in lesser areas. There is few portion of land which is currently not suitable for cultivation (N1) because of its topographic limitations. The restricted areas of forest are permanently not suited for agriculture (N2).

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Journal articles on the topic 'Weighted Overlay Analysis'

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