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Journal articles on the topic 'MEDALUS model'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Thornes, J. B., J. X. Shao, E. Diaz, A. Roldan, M. McMahon, and J. C. Hawkes. "Testing the MEDALUS hillslope model." CATENA 26, no. 3-4 (1996): 137–60. http://dx.doi.org/10.1016/0341-8162(95)00037-2.

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Afzali, Sayed Fakhreddin, Ali Khanamani, Ehsan Kamali Maskooni, and Ronny Berndtsson. "Quantitative Assessment of Environmental Sensitivity to Desertification Using the Modified MEDALUS Model in a Semiarid Area." Sustainability 13, no. 14 (2021): 7817. http://dx.doi.org/10.3390/su13147817.

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Iran is mainly located in the arid and semiarid climate zone and seriously affected by desertification. This is a severe environmental problem, which results in a persistent loss of ecosystem services that are fundamental to sustaining life. Process understanding of this phenomenon through the evaluation of important drivers is, however, a challenging work. The main purpose of this study was to perform a quantitative evaluation of the current desertification status in the Segzi Plain, Isfahan Province, Iran, through the modified Mediterranean Desertification and Land Use (MEDALUS) model and GI

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3

Sunarto, Sunarto. "Pengembangan MEDALUS-BD (MEDia pembelajaran Aplikatif LUaS Bangun Datar) Berbasis Scratch MIT untuk Meningkatkan Hasil Belajar Siswa Kelas 5 SD." Jurnal Guru Sekolah Dasar 1, no. 6 (2025): 41–53. https://doi.org/10.70277/jgsd.v1i6.5.

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Penelitian ini mengembangkan media pembelajaran inovatif bernama MEDALUS-BD (MEDia pembelajaran Aplikatif LUaS Bangun Datar) berbasis aplikasi Scratch MIT untuk materi luas bangun datar di kelas 5 sekolah dasar. Pengembangan media ini dilatarbelakangi oleh rendahnya hasil belajar siswa pada materi luas bangun datar dan minimnya pemanfaatan teknologi dalam pembelajaran matematika. Penelitian dilaksanakan menggunakan metode Research and Development (R&D) dengan model Borg & Gall yang dimodifikasi menjadi 7 tahap. Subjek penelitian adalah 31 siswa kelas 5 SD Negeri 1 Pelem Kecamatan Gabus

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Fadl, Mohamed E., Ahmed S. Abuzaid, Mohamed A. E. AbdelRahman, and Asim Biswas. "Evaluation of Desertification Severity in El-Farafra Oasis, Western Desert of Egypt: Application of Modified MEDALUS Approach Using Wind Erosion Index and Factor Analysis." Land 11, no. 1 (2021): 54. http://dx.doi.org/10.3390/land11010054.

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Desertification is a serious threat to human survival and to ecosystems, especially to inland desert oases. An assessment of desertification severity is essential to ensure national sustainable development for agricultural and land expansion processes in this region. In this study, Index of Land Susceptibility to Wind Erosion (ILSWE) was integrated with a Modified Mediterranean Desertification and Land Use (MEDALUS) method and factor analysis (FA) to develop a GIS-based model for mapping desertification severity. The model was then applied to 987.77 km2 in the El-Farafra Oasis, located in the

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Plaiklang, S., I. Sutthivanich, T. Sritarapipat, et al. "DESERTIFICATION ASSESSMENT USING MEDALUS MODEL IN UPPER LAMCHIENGKRAI WATERSHED, THAILAND." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 1257–62. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1257-2020.

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Abstract. Desertification is a global environmental problem. It affects harmful on economic, social and environmental that ultimately effects on quality of human life. Thailand is the 174th member of the UNCCD, according to the Thailand report of desertification by LDD (2004). It was found that the area of degraded land or desertification land in Thailand was 33.57 million hectares which were agricultural soil problem. Soil erosion and soil salinity are major problems for agricultural soil in Thailand. Thus, to prevent and fix such problems, assessment and evaluation of soil properties are ess

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Lahlaoi, Hicham, Hassan Rhinane, Atika Hilali, Said Lahssini, and Said Moukrim. "Desertification Assessment Using MEDALUS Model in Watershed Oued El Maleh, Morocco." Geosciences 7, no. 3 (2017): 50. http://dx.doi.org/10.3390/geosciences7030050.

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7

Boudjemline, Fouzia, and Ahcene Semar. "Assessment and mapping of desertification sensitivity with MEDALUS model and GIS – Case study: basin of Hodna, Algeria." Journal of Water and Land Development 36, no. 1 (2018): 17–26. http://dx.doi.org/10.2478/jwld-2018-0002.

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AbstractIn Algeria, desertification risk is one of the main environmental and also social and economic problems. As much as 20 million hectares of northern Algeria are highly exposed and vulnerable to desertification with large areas falling into his ‘severe’ risk category, because the present massive destruction of vegetation and soils. This study aimed to use geographic information system (GIS) for mapping environmentally sensitive areas to desertification based on Mediterranean Desertification and Land Use (MEDALUS) approach in basin of Hodna, Algeria. Sensitivity is estimated with a modifi

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Alhamdany, S. A., and Y. H. Alnaser. "Assessing Environmental Sensitivity Areas (ESA) Using Medalus Model in Telkaif District of Northern Iraq." Asian Journal of Soil Science and Plant Nutrition 10, no. 3 (2024): 384–93. http://dx.doi.org/10.9734/ajsspn/2024/v10i3349.

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This study conducted in Tel Kaif district in the northern part of Nineveh Governorate, located between longitudes (˝42′33°41– ˝20′19°43) east and latitudes (˝20′23°36-˝14′54°36) north to assess its environmental sensitivity to desertification (ESA). Fifteen representative sites selected based on the agricultural uses, vegetation cover, and topography. The geographical coordinates of the study sites were determined using a GPS device, and climatic and descriptive data for the study area taken, and soil samples taken for the required laboratory analyses. The obtained data converted into weighted

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9

Abuzaid, Ahmed S., and Abdelatif D. Abdelatif. "Assessment of desertification using modified MEDALUS model in the north Nile Delta, Egypt." Geoderma 405 (January 2022): 115400. http://dx.doi.org/10.1016/j.geoderma.2021.115400.

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10

Kadović, Ratko, Youssef Mansour Bohajar, Veljko Perović, et al. "Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia." Archives of Environmental Protection 42, no. 4 (2015): 114–24. https://doi.org/10.5281/zenodo.15299616.

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<strong>Abstract</strong>: This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were

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Kadović, Ratko, Yousef Ali Mansour Bohajar, Veljko Perović, et al. "Land Sensitivity Analysis of Degradation using MEDALUS model: Case Study of Deliblato Sands, Serbia." Archives of Environmental Protection 42, no. 4 (2016): 114–24. http://dx.doi.org/10.1515/aep-2016-0045.

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Abstract This paper studies the assessment of sensitivity to land degradation of Deliblato sands (the northern part of Serbia), as a special nature reserve. Sandy soils of Deliblato sands are highly sensitive to degradation (given their fragility), while the system of land use is regulated according to the law, consisting of three zones under protection. Based on the MEDALUS approach and the characteristics of the study area, four main factors were considered for evaluation: soil, climate, vegetation and management. Several indicators affecting the quality of each factor were identified. Each

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Nour-Eldin, Hoda, Adel Shalaby, Rania M. Mohamed, Ehab Youssef, Neven G. Rostom, and H. S. Khedr. "Assessment of the desertification sensitivity of Northwestern El Minya Governorate, Egypt using MEDALUS model." Egyptian Journal of Remote Sensing and Space Science 26, no. 3 (2023): 758–67. http://dx.doi.org/10.1016/j.ejrs.2023.07.013.

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13

Al-Rawi, M., and S. Al-Juraysi. "Assessment Sensitivity of Agriculture lands to desertification of Iraqi Mesopotamian plain using MEDALUS Model." ANBAR JOURNAL OF AGRICULTURAL SCIENCES 12, no. 1 (2014): 69–90. http://dx.doi.org/10.32649/ajas.2014.96520.

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& et al., Hamad. "ASSESSMENT OF ENVIRONMENTAL SENSITIVITY TO DESERTIFICATION WITH MEDALUS MODEL IN GIS IN MAYMONA PROJECT- SOUTH OF IRAQ." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 52, no. 4 (2021): 1058–69. http://dx.doi.org/10.36103/ijas.v52i4.1417.

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The objective of this study was to identify the locations sensitivity to land desertification based on the Mediterranean Desertification and Land Use (MEDALUS) approach by the Geographic Information Systems (GIS) in the south of Maysan governorate at Iraq for mapping environmentally sensitive areas to desertification. Three indicators, which included climate, vegetation, and soil, were employed to estimate the ESAI and then to classify the land in critical, fragile potentially, and non-influenced sensitive areas. The results of the soil quality index (SQI) indicated that 25% of the studied are

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15

Miletić, Stefan, Jelena Beloica, and Predrag Miljković. "Integrating Environmental Variables into Geostatistical Interpolation: Enhancing Soil Mapping for the MEDALUS Model in Montenegro." Land 14, no. 4 (2025): 702. https://doi.org/10.3390/land14040702.

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Geostatistical methods are important in analyzing natural resources providing input data for complex mathematical models that address environmental processes and their spatial distribution. Ten interpolation methods and one empirical-based classification grounded in empirical knowledge, with a total of 929 soil samples, were used to create the most accurate spatial prediction maps for clay, sand, humus, and soil depth in Montenegro. These analyses serve as a preparatory phase and prioritize the practical application of the obtained results for the implementation and improvement of the MEDALUS

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., Manuchehr Farajzadeh, and Mahbobeh Nik Egbal . "Evaluation of MEDALUS Model for Desertification Hazard Zonation Using GIS; Study Area: Iyzad Khast Plain, Iran." Pakistan Journal of Biological Sciences 10, no. 16 (2007): 2622–30. http://dx.doi.org/10.3923/pjbs.2007.2622.2630.

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17

Benabderrahmane, Mohamed Cherif, and Haroun Chenchouni. "Assessing Environmental Sensitivity Areas to Desertification in Eastern Algeria using Mediterranean Desertification and Land Use “MEDALUS” Model." International Journal of Sustainable Water and Environmental Systems 1, no. 1 (2010): 5–10. http://dx.doi.org/10.5383/swes.01.01.002.

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18

Ogbue, Chukwuka, Emeka Igboeli, Chukwuedozie Ajaero, et al. "Remote sensing analysis of desert sensitive areas using MEDALUS model and GIS in the Niger River Basin." Ecological Indicators 158 (January 2024): 111404. http://dx.doi.org/10.1016/j.ecolind.2023.111404.

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Al-Yasiry, Ahmed, Alaa Al-Lami, and Ali Al Maliki. "Desertification Assessment for the Marshes Region Using Soil Quality Indicators, Southern Iraq." Iraqi Geological Journal 56, no. 1E (2023): 259–72. http://dx.doi.org/10.46717/igj.56.1e.20ms-2023-5-30.

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The study aims to conduct an assessment of desertification in the marshlands of southern Iraq by using eight soil indicators. The study area is part of the governorates of Amarah, Basrah and Nasiriyah, with an area of about 27,989 km2. The Mediterranean model of desertification and land use model (MEDALUS) was adopted for the assessment of the soil quality indicators. Satellite image processing of Landsat images and ArcGIS v.10.7 programs were used to analyze different data and produce the soil quality index and maps for evaluating marshes area desertification. This study found that the marshe

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Ren, Yu, Xiangjun Liu, Bo Zhang, and Xidong Chen. "Sensitivity Assessment of Land Desertification in China Based on Multi-Source Remote Sensing." Remote Sensing 15, no. 10 (2023): 2674. http://dx.doi.org/10.3390/rs15102674.

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Desertification, a current serious global environmental problem, has caused ecosystems and the environment to degrade. The total area of desertified land is about 1.72 million km2 in China, which is extensively affected by desertification. Estimating land desertification risks is the top priority for the sustainable development of arid and semi-arid lands in China. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model was used to assess the sensitivity of land desertification in China. Based on multi-source remote sensing data, this study integrated natural and human fa

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Dwivedi, Chandra Shekhar, Dishant, Bikash Ranjan Parida, Arvind Chandra Pandey, Ravi Kumar, and Navneet Kumar. "Geoinformatics-Based Mapping of Environmental Sensitive Areas for Desertification over Satara and Sangli Districts of Maharashtra, India." GeoHazards 5, no. 2 (2024): 415–40. http://dx.doi.org/10.3390/geohazards5020022.

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Desertification processes in arid, semi-arid, and dry sub-humid conditions have been enhanced in recent decades. The geospatial database and associated satellite data can be effectively employed for regional planning to address desertification and land degradation. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model has been used to map environmentally sensitive areas due to desertification in the Satara and Sangli districts of Maharashtra, India. This was achieved by combining Landsat-8 multispectral data, Census data, soil data, and climatic variables like temperatu

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Macêdo, Theilon Henrique de Jesus, Cristiano Tagliaferre, Bismarc Lopes da Silva, et al. "Assessment of Land Desertification in the Brazilian East Atlantic Region Using the Medalus Model and Google Earth Engine." Land 13, no. 1 (2023): 31. http://dx.doi.org/10.3390/land13010031.

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Many factors drive land desertification, especially in arid and semi-arid regions. However, the sheer number of these driving factors of desertification makes analyses computer-intensive. Cloud computing offers a solution to address this problem, especially in developing countries. The objective of this work was to assess the sensitivity of the East Atlantic Basin, Brazil, to desertification using the Mediterranean Desertification and Land Use (MEDALUS) model and Google Earth Engine (GEE). The model is composed of four environmental Quality Indices (QIs) associated with soil (SQI), vegetation

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Zaidan, Muthana, Mufid al-hadithi, and Waddah Amer. "Utilizing soil quality index to assess soil susceptibility to desertification in the eastern Tigris area (al-Fatha-Udaim) /Iraq." IOP Conference Series: Earth and Environmental Science 1300, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1755-1315/1300/1/012007.

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Abstract The aim of this study was to determine how vulnerable the land was to desertification along the eastern Tigris River by analyzing eight parameters directly connected to soil health. the study area is a part of the Salah Addin governorate and spans 5592.43 km2. The morphology of the study region was assessed using a soil quality index and maps generated using the ArcGIS v.10.5 software as well as Landsat image OLI from USGS combined with laboratory results and the MEDALUS model for evaluating soil quality indicators. The research concluded two distinct types of locations within the stu

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Ait Lamqadem, Atman, Biswajeet Pradhan, Hafid Saber, and Abdelmejid Rahimi. "Desertification Sensitivity Analysis Using MEDALUS Model and GIS: A Case Study of the Oases of Middle Draa Valley, Morocco." Sensors 18, no. 7 (2018): 2230. http://dx.doi.org/10.3390/s18072230.

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Oases can play a significant role in the sustainable economic development of arid and Saharan regions. The aim of this study was to map the desertification-sensitive areas in the Middle Draa Valley (MDV), which is in the southeast of Morocco. A total of 13 indices that affect desertification processes were identified and analyzed using a geographic information system. The Mediterranean desertification and land use approach; which has been widely used in the Mediterranean regions due to its simplicity; flexibility and rapid implementation strategy; was applied. All the indices were grouped into

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Zakerinejad, Reza, and Masoud Masoudi. "Quantitative mapping of desertification risk using the modified MEDALUS model: a case study in the Mazayejan Plain, Southwest Iran." AUC GEOGRAPHICA 54, no. 2 (2019): 232–39. http://dx.doi.org/10.14712/23361980.2019.20.

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Nady, Hany, and Emad Abdel fattah Hafez. "Using of Remote Sensing and GIS to Estimate Environmental Sensitivity to Desertification in East Nile Delta Using MEDALUS Model." Beni-Suef University International Journal of Humanities and Social Sciences 5, no. 2 (2023): 121–48. http://dx.doi.org/10.21608/buijhs.2023.246085.1131.

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Allouche, Faiza Khebour, Arwa Hamaideh, Saida Hammami, Emna Gatta, and Anas Khasawneh. "ENVISIONING SUSTAINABLE LANDSCAPE MANAGEMENT IN THE ENVIRONMENTALLY SENSITIVE AREAS OF KSOUR ESSEF, TUNISIA." International Journal of Research -GRANTHAALAYAH 9, no. 1 (2021): 85–98. http://dx.doi.org/10.29121/granthaalayah.v9.i1.2021.2715.

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Each territory has distinctive features and landscape compositions that contribute to the creation of territorial identities. Natural parks are territories remarkable for their wealth of biodiversity, which in turn contribute to the development of sustainable socio-economic development through landscape enhancement. The main idea of this research is to test the combinaison of two concepts to propose a suitable management in a semi-arid environment. It is based on the use of the ESAs and landscape diagnosis concepts. The concept of ESAs is supported including the need to identify environnementa

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Lukić, S., A. Baumgertel, S. Obradović, et al. "Assessment of land sensitivity to degradation using MEDALUS model - a case study of Grdelica Gorge and Vranjska Valley (southeastern Serbia)." iForest - Biogeosciences and Forestry 15, no. 3 (2022): 163–70. http://dx.doi.org/10.3832/ifor3871-015.

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Meza Mori, Gerson, Cristóbal Torres Guzmán, Manuel Oliva-Cruz, Rolando Salas López, Gladys Marlo, and Elgar Barboza. "Spatial Analysis of Environmentally Sensitive Areas to Soil Degradation Using MEDALUS Model and GIS in Amazonas (Peru): An Alternative for Ecological Restoration." Sustainability 14, no. 22 (2022): 14866. http://dx.doi.org/10.3390/su142214866.

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Land degradation is a permanent global threat that requires an interdisciplinary approach to addressing solutions in a given territory. This study, therefore, analyses environmentally sensitive areas to land degradation using the Mediterranean Desertification and Land Use (MEDALUS) and Geographic Information System (GIS) method through a multi-criteria approach in the district of Florida (Peru). For the method, we considered the main quality indicators such as: Climate Quality Index (CQI), Soil Quality Index (SQI), Vegetation Quality Index (VQI), and Management Quality Index (MQI). There were

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& Azeez, Qadir. "ASSESSMENT AND MAPPING OF DESERTIFICATION USING SOIL QUALITY INDICATORS FOR SOME PARTS OF IRAQ." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 51, no. 5 (2020): 1290–99. http://dx.doi.org/10.36103/ijas.v51i5.1136.

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This study was conducted to assess desertification for dry lands in some parts of Iraq. The study area located between longitudes 43025- 41" - 460 28- 01" E and latitudes 340 18- 35" - 360 20- 56" N with an area of 26500Km2which include some parts of the governorates of Sulaimani, Diyala, Kirkuk, and Erbil in Iraq. Eighty nine surface soil samples were taken, air dried, sieved through a 2 mm sieve and then analyzed for some physical and chemical properties. Desertification is assessed according to Mediterranean Desertification and Land Use model (MEDALUS). ArcGIS 10.2 was used to analyze and p

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Ren, Yu, and Xidong Chen. "Assessment and Driving Factors of Desertification Vulnerability in the Mu Us Sandy Land, China: A MEDALUS-Based Approach." Journal of Environmental & Earth Sciences 7, no. 6 (2025): 213–26. https://doi.org/10.30564/jees.v7i6.8974.

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As a major worldwide issue, desertification poses significant threats to ecosystem stability and long-term socio-economic growth. Within China, the Mu Us Sandy land represents a crucial region for studying desertification phenomena. Comprehending how desertification risks are distributed spatially and what mechanisms drive them remains fundamental for implementing effective strategies in land management and risk mitigation. Our research evaluated desertification vulnerability across the Mu Us Sandy land by applying the MEDALUS model, while investigating causal factors via geographical detector

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32

Ismael, Hossam. "Evaluation Of Present-Day Climate-Induced Desertification In El-Dakhla Oasis, Western Desert Of Egypt, Based On Integration Of MEDALUS Method, GIS And RS Techniques." Present Environment and Sustainable Development 9, no. 2 (2015): 47–72. http://dx.doi.org/10.1515/pesd-2015-0024.

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Abstract Limited to fourth percent or less of the country’s total land area, Egypt’s agricultural landscape is threatened by the repercussions of climate change, desertification, soil depletion, and looming water scarcity. Outside of the Nile river valley and scattered fertile pockets in the desert oases, the vast majority of land is desert: rocky, parched and unable to support conventional farming. According to Egyptian National Action Program 2005 (ENAP), Egypt covers an area of about one million km2 ~ 100 million hectares, out of which about of 76.5 thousands km2 ~ 7.6% of the total area ar

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D’Ettorre, Umberto Samuele, Isabella Serena Liso, Vincenzo Parisi, and Mario Parise. "Desertification Assessment Using the Modified Mediterranean Desertification and Land Use Model in a Karst Plateau." Geosciences 14, no. 12 (2024): 320. http://dx.doi.org/10.3390/geosciences14120320.

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Desertification is among the most severe environmental problems in many countries at present, and threatens the integrity of natural environments and the sustainability of related natural resources. This work aims to assess proneness to desertification in the Alta Murgia karst plateau (Apulia, Southern Italy) through the integration of the modified Mediterranean Desertification and Land Use model (MEDALUS) with a GIS-based approach. The model includes indexes for climate, vegetation, soil, and management, all combined to assess environmentally sensitive areas (ESAs) regarding desertification.

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Huang, Beiying, Hanchen Duan, and Wanying Cao. "Multidimensional analysis of desertification sensitivity in the horqin sandy land based on an improved MEDALUS − ESA model and an optimal geographical detector." Ecological Indicators 178 (September 2025): 113847. https://doi.org/10.1016/j.ecolind.2025.113847.

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Sobhani, Ameneh, and Hassan Khosravi. "Assessing Environmental Sensitivity Areas to Desertification in North of Iran." Current World Environment 10, no. 3 (2015): 890–902. http://dx.doi.org/10.12944/cwe.10.3.19.

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The sensitivity map to desertification of Chehel-chai basin (North of Iran) has been elaborated by the crossing of fives criteria including climate, water erosion, soil, vegetation, and management, which have the main impact on the evolutionary process of desertification. The methodology is resulted from the desertification model of MEDALUS, which use qualitative index to define the land sensitive area to desertification. According to the factorial scaling technique, score-ranging from 1(good condition) to 2(deteriorated condition) is assigned to each indicator. Each index was assessed based o

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& Hussien, Khalaf. "ENVIRONMENT SENSITIVITY MAPS OF LAND DEGRADATION AND DESRTIFICATION USING MEDULAS MODEL AND REMOTE SENSING IN SHIRQAT CITY/IRAQ." IRAQI JOURNAL OF AGRICULTURAL SCIENCES 52, no. 3 (2021): 697–711. http://dx.doi.org/10.36103/ijas.v52i3.1361.

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This research of aims to study environment sensitivity of desertification and land degradation using MEDULAS project and remote sensing in AL-Shirqat City/Salahadin/Iraq. A 10 soil pedons were chosen from study area depending on difference in soil preperties, landuse and causes of desertification and degradation as (Salinity, Erosion, Gypsum and vegetation cover). Soil profile description, soil samples and GPS were conducted. The physical (texture) and chemical (CaCO3, CaSO4.2H2O, O.M, EC and pH) properties were determined. The Soil were classified as Torrifluvents in the (P1, P2, P3), Torrips

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Karimli, Nilufar, and Mahmut Oğuz Selbesoğlu. "Remote Sensing-Based Yield Estimation of Winter Wheat Using Vegetation and Soil Indices in Jalilabad, Azerbaijan." ISPRS International Journal of Geo-Information 12, no. 3 (2023): 124. http://dx.doi.org/10.3390/ijgi12030124.

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Concerns about the expanding human population’s adequate supply of food draw attention to the field of Food Security. Future-focused analysis and processing of agricultural data not only improve planning capabilities in this field but also enables the required precautions to be taken beforehand. However, given the breadth and number of these regions, field research would be an expensive and time-consuming endeavour. With the advent of remote sensing and optical sensors, it is now possible to acquire diverse data remotely, quickly, and inexpensively. This study investigated the limitations and

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Li, Maolin, Buyanbaatar Avirmed, Ganbold Bayanmunkh, et al. "Unveiling Drivers and Projecting Future Risks of Desertification Vulnerability in the Mongolian Plateau." Remote Sensing 17, no. 14 (2025): 2389. https://doi.org/10.3390/rs17142389.

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Desertification presents a significant ecological challenge in arid and semi-arid regions, posing a severe threat to regional ecological security and sustainable development. This study introduces an integrated framework for desertification vulnerability assessment, combining the MEDALUS model with the XGBoost algorithm, to evaluate desertification dynamics across the Mongolian Plateau from 2000 to 2020 and project future trends under four Shared Socioeconomic Pathways (SSPs) for 2030. The findings are as follows: (1) Between 2000 and 2020, desertification vulnerability was most pronounced in

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OURABIT, Souad, Abderrahim ETTAQY, and Mohamed EL GHACHI. "ASSESSMENT OF SENSITIVITY TO DESERTIFICATION IN THE OUM ER-RBIA WATERSHED (UPSTREAM OF OULED SIDI DRISS) USING THE MEDALUS APPROACH." Journal of Applied Life Sciences and Environment 57, no. 1(197)2024 (2024): 149–68. http://dx.doi.org/10.46909/alse-571129.

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The issue of desertification is a pressing concern for many vulnerable regions, with consequences that extend far beyond their borders. It is a silent force that not only contributes to global climate change by releasing stored carbon from vegetation and soil but also compounds the ongoing environmental challenges we face on a global scale. In Morocco, the effects of these climate changes are already noticeable, particularly in terms of water scarcity due to reduced rainfall and rising temperatures. This, in turn, leads to soil drying and an increased risk of degradation. The Oum Er-Rbia water

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Shokr, Mohamed S., Mostafa A. Abdellatif, Ahmed A. El Baroudy, et al. "Development of a Spatial Model for Soil Quality Assessment under Arid and Semi-Arid Conditions." Sustainability 13, no. 5 (2021): 2893. http://dx.doi.org/10.3390/su13052893.

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Food security has become a global concern for humanity with rapid population growth, requiring a sustainable assessment of natural resources. Soil is one of the most important sources that can help to bridge the food demand gap to achieve food security if well assessed and managed. The aim of this study was to determine the soil quality index (SQI) for El Fayoum depression in the Western Egyptian Desert using spatial modeling for soil physical, chemical, and biological properties based on the MEDALUS methodology. For this purpose, a spatial model was developed to evaluate the soil quality of t

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Ouakil, Abdelhadi, Fatimazahra Eddefli, Badr Ben Hichou, Jamal Chao, and Hicham Elbelrhiti. "Integration of Sentinel2 Data into a GIS System for the Mapping of Areas at Risk of Degradation by Applying the MEDALUS Model – Case of Sidi Mohamed Ben Abdellah Watershed (Morocco)." Ecological Engineering & Environmental Technology 24, no. 7 (2023): 216–28. http://dx.doi.org/10.12912/27197050/169877.

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Simón Sanjurjo, Juan Antonio. "Olvidar al tramposo: El caso de Johann Muehlegg y el estudio del discurso identitario a través de la prensa española = Forgetting the cheater: The case of Johann Muehlegg and the study of identity discourse through the Spanish press." Materiales para la Historia del Deporte, no. 24 (June 15, 2023): 37–53. http://dx.doi.org/10.20868/mhd.2023.24.4787.

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ResumenEn noviembre de 1999 el esquiador de fondo de origen alemán Johann Muehlegg, consiguió su nacionalización española. Los triunfos deportivos no tardaron en llegar logrando la Copa del Mundo en el 2000, dos medallas en el Mundial de 2001 y tres medallas de oro en los Juegos Olímpicos de Salt Lake City en el 2002. El día después de conseguir su última victoria, el Comité Olímpico internacional (COI) le comunicó que había dado positivo por una sustancia denominada darbepoetina alfa y fue inmediatamente expulsado de la competición retirándole todas las medallas. A partir de ese momento el nu

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Kirkby, M. J., R. Abrahart, M. D. McMahon, J. Shao, and J. B. Thornes. "MEDALUS soil erosion models for global change." Geomorphology 24, no. 1 (1998): 35–49. http://dx.doi.org/10.1016/s0169-555x(97)00099-8.

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Wang, Saijie, Dongyang He, Yufei Shan, and Hongjia Li. "Olympic Medal Count Prediction Model for Various Countries based on LSTM and Supervised Machine Learning." Frontiers in Computing and Intelligent Systems 12, no. 2 (2025): 60–64. https://doi.org/10.54097/6f8s2419.

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The acquisition of Olympic medals holds significant importance for the development of a country's sports endeavors. This paper constructs a medal prediction model based on TOPSIS-LSTM model and supervised learning, utilizing historical Olympic data. The Random Forest algorithm is employed to forecast the medal performance of countries at the 2028 Los Angeles Olympics. The results indicate that the United States will achieve 126 medals, while China will secure 91 medals, ranking first and second, respectively. The United Kingdom and Canada follow closely with 65 and 55 medals, respectively. The

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Zhao, Sanglin, Jikang Cao, and Jackon Steve. "Research on Olympic medal prediction based on GA-BP and logistic regression model." F1000Research 14 (March 28, 2025): 245. https://doi.org/10.12688/f1000research.161865.2.

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Background Predicting the number and distribution of Olympic medals in the future has become a hot topic, but predicting the number of Olympic medals is not easy and requires comprehensive consideration of multiple factors such as historical data, athlete performance, and host country effects. Method This article uses the GA-BP algorithm model, combined with genetic algorithm (GA) and backpropagation neural network (BPNN), to optimize the weights and bias parameters of the BP neural network using the global search capability of genetic algorithm, thereby improving training efficiency and predi

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Zhao, Sanglin, Jikang Cao, and Jackon Steve. "Research on Olympic medal prediction based on GA-BP and logistic regression model." F1000Research 14 (February 28, 2025): 245. https://doi.org/10.12688/f1000research.161865.1.

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Background Predicting the number and distribution of Olympic medals in the future has become a hot topic, but predicting the number of Olympic medals is not easy and requires comprehensive consideration of multiple factors such as historical data, athlete performance, and host country effects. Method This article uses the GA-BP algorithm model, combined with genetic algorithm (GA) and backpropagation neural network (BPNN), to optimize the weights and bias parameters of the BP neural network using the global search capability of genetic algorithm, thereby improving training efficiency and predi

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Parrilla, Margarita, and Marta Pulido Polo. "Los Títulos De “Hijo Predilecto” E “Hijo Adoptivo”, La Historia Local De Las Provincias Andaluzas | The Titles Of "Hijo Predilecto" And "Hijo Adoptivo", The Local History Of Andalusian Provinces." REVISTA ESTUDIOS INSTITUCIONALES 3, no. 5 (2016): 89. http://dx.doi.org/10.5944/eeii.vol.3.n.5.2016.18393.

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La abundante literatura sobre protocolo que existe en España raramente se ha detenido a analizar la importancia que juegan los reglamentos de honores y distinciones de las Entidades Locales como la herramienta de transmisión de los valores constitucionales al conjunto de la ciudadanía. Buena prueba de ello son los galardonados con alguno de los premios, nombramientos o medallas con los que, a lo largo de la geografía andaluza, realizan las Diputaciones Provinciales de la Comunidad Autónoma Andaluza. Personas, instituciones o empresas que ejemplifican el nuevo modelo de sociedad._______________

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Ma, Jiayi, Yunyi Chen, and Xiang Lin. "Study on Medal Prediction Based on XGBoost and ARIMA Models." Scientific Journal of Technology 7, no. 3 (2025): 215–22. https://doi.org/10.54691/stbqbk94.

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Focusing on predictive modelling research, this paper constructs an Olympic medal prediction model and evaluates its performance. XGBoost combined with Monte Carlo simulation is used to predict the number of Olympic medals. Optuna optimises the hyperparameters and evaluates the model in terms of mean squared error (MSE), root mean squared error (RMSE) and mean absolute error (MAE), and the results show that the model performs well in predicting the number of gold medals and the total number of medals; Monte Carlo simulation is used to determine the prediction intervals and to evaluate the mode

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Gediz, Süleyman, and Alparslan Erman. "The Effect of Country Population, Economy and Scientific Research on Country's Olympic Success." Herkes için Spor ve Rekreasyon Dergisi 7, no. 2 (2025): 356–62. https://doi.org/10.56639/jsar.1686241.

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In this study, it was aimed to examine the relationship between the number of gold/total medals obtained by the top 20 countries in the gold medal rankings in the Athens 2004, Beijing 2008, London 2012, Rio 2016, Tokyo 2020 and London 2024 Summer Olympic Games and the population, economy and scientific research of these countries. Descriptive survey model, one of the quantitative research methods, was used in the study. Data were obtained through scientific studies and document analysis. For the number of researches in the field of sports sciences; scientific researches published in Web Of Sci

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Doo-Suk Kang and Lim, Jung-Duk. "The Forcasting Model of the Beijing Olympic Medals." Korean Journal of Sport Science 19, no. 4 (2008): 126–35. http://dx.doi.org/10.24985/kjss.2008.19.4.126.

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