Thematische Bibliographien / SYNTHETIC POLLUTION INDEX (SPI)

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Auswahl der wissenschaftlichen Literatur zum Thema „SYNTHETIC POLLUTION INDEX (SPI)“

Autor: Grafiati

Veröffentlicht am 11. September 2023

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Zeitschriftenartikel zum Thema "SYNTHETIC POLLUTION INDEX (SPI)"

Grema, H. M., H. Hamidu, A. Suleiman, A. I. Kankara, A. O. Umaru und N. F. Abdulmalik. „Cadmium geochemistry and groundwater pollution status evaluation using indexing and spatial analysis for Keffe community and Environs Sokoto Basin, North Western Nigeria“. Nigerian Journal of Basic and Applied Sciences 30, Nr. 1 (24.08.2022): 05–23. http://dx.doi.org/10.4314/njbas.v30i1.2.

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Representative groundwater samples were collected from the Kaffe community and environs to evaluate the concentrations and geochemical constraints for mobilizing cadmium (Cd) and selected heavy metals. Field-based in-situ measurements of physicochemical parameters were combined with Atomic Absorption Spectrophotometer analysis of dissolved elemental concentrations. Pollution indices (i.e. heavy metal pollution index; HPI, heavy metal evaluation index; HEI, contamination degree; Cd, metal index; MI, synthetic pollution index; SPI, ecological risk index; ERI and Nemerow index; NI) evaluations highlighted the levels of heavy metals in the groundwater. Cadmium and iron (Fe) concentrations exceeded the recommended limits in 97% of the analysed samples, with an average pH of 6.3. Strong positive correlations were observed between cadmium and the computed pollution indices (p 0.774 to p 0.100), suggesting significant Cd pollution of the groundwater. Components analysis grouped Cd, Fe, and the pollution indices in the first PC. This was favourably compared to the correlation analysis result. Cluster analysis categorized Cd, Zn and pH in the first cluster consistent with the suggested dissolution and enrichment of Cd and Zn in the groundwater under similar geochemical conditions. The study area is medium and moderately polluted based on HPI, HEI, Cd, and NI.

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Hui, Tian, Jizhong Du, Qifa Sun, Qiang Liu, Zhuang Kang und Hongtao Jin. „Using the Water Quality Index (WQI), and the Synthetic Pollution Index (SPI) to Evaluate the Groundwater Quality for Drinking Purpose in Hailun, China“. Sains Malaysiana 49, Nr. 10 (31.10.2020): 2383–401. http://dx.doi.org/10.17576/jsm-2020-4910-05.

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Solangi, Ghulam Shabir, Altaf Ali Siyal, Muhammad Munir Babar und Pirah Siyal. „Evaluation of drinking water quality using the water quality index (WQI), the synthetic pollution index (SPI) and geospatial tools in Thatta district, Pakistan“. DESALINATION AND WATER TREATMENT 160 (2019): 202–13. http://dx.doi.org/10.5004/dwt.2019.24241.

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Hui, Tian, Liang Xiujuan, Sun Qifa, Liu Qiang, Kang Zhuang und Gong Yan. „Evaluation of Drinking Water Quality Using the Water Quality Index (WQI), the Synthetic Pollution Index (SPI) and Geospatial Tools in Lianhuashan District, China“. Polish Journal of Environmental Studies 30, Nr. 1 (05.10.2020): 141–53. http://dx.doi.org/10.15244/pjoes/120765.

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Solangi, Ghulam Shabir, Altaf Ali Siyal, Muhammad Munir Babar und Pirah Siyal. „Groundwater quality evaluation using the water quality index (WQI), the synthetic pollution index (SPI), and geospatial tools: a case study of Sujawal district, Pakistan“. Human and Ecological Risk Assessment: An International Journal 26, Nr. 6 (07.04.2019): 1529–49. http://dx.doi.org/10.1080/10807039.2019.1588099.

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Solangi, Ghulam Shabir, Altaf Ali Siyal, Muhammad Munir Babar und Pirah Siyal. „Evaluation of surface water quality using the water quality index (WQI) and the synthetic pollution index (SPI): a case study of Indus Delta region of Pakistan“. DESALINATION AND WATER TREATMENT 118 (2018): 39–48. http://dx.doi.org/10.5004/dwt.2018.22407.

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Nhu Tam, Doan Ngoc. „APPLICATION OF PRINCIPLE COMPONENT ANALYSIS TO BUILD PROVINCIAL ECO-EFFICIENCY INDEX FOR BINH DUONG PROVINCE FROM 2001-2012“. Vietnam Journal of Science and Technology 54, Nr. 2A (19.03.2018): 251. http://dx.doi.org/10.15625/2525-2518/54/2a/11938.

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Based on a proposed concept of Regional Eco-Efficiency of Zhou Zhenfeng, a set of indicators for assessing, eco-efficiency of provincial level has been conducted. Set of indicators included 26 indicators, and was divided into 3 groups: Socio-Economic Development Index (SDI) (9 indicators); Resources Consumption Index (RCI) (7 indicators) and Environmental Pressure index (EPrI) (10 indicators). Principle component analysis (PCA) was used to assess Eco-efficiency Synthetic Index (ESI) of Binh Duong province in the 2001-2012. Results shown that the ESI of Binh Duong province has been clearly improving from 2001-2012. RCI and EPrI respectively had a significant correlation with SDI. Results also have been shown that the industrialization generated waste and if the pollution control solution is not effectively so environmental pressure is continuously increase and degrade the environment.

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Bedolla-Rivera, Héctor Iván, Eloy Conde-Barajas, Sandra Lizeth Galván-Díaz, Francisco Paúl Gámez-Vázquez, Dioselina Álvarez-Bernal und María de la Luz Xochilt Negrete-Rodríguez. „Compost Quality Indexes (CQIs) of Biosolids Using Physicochemical, Biological and Ecophysiological Indicators: C and N Mineralization Dynamics“. Agronomy 12, Nr. 10 (24.09.2022): 2290. http://dx.doi.org/10.3390/agronomy12102290.

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The increasing production of biosolids (BS) as a result of urban wastewater treatment generates pollution problems in their management and final disposal, and a better management is needed for their disposal. The composting of BS is an alternative process for obtaining a product with potential application as an organic amendment in the recovery of agricultural soils. As a biotechnological contribution, this study analyzed a composting process with BS, bovine manure (BM) and rice husks using four treatments T1 (C/N = 24); T2 (C/N = 34); T3 (C/N = 44); T4 (C/N = 54) for 120 days, in order to develop compost quality indexes (CQIs) through the analysis of 18 physicochemical, biological and ecophysiological indicators. Subsequently, three methodologies—successfully used on soils—were implemented for the development of the CQIs called “unified”, “additive” and “nemoro”. The indicators that comprised the CQIs were nitrification index (NI) and synthetic enzymatic index (SEI). The CQIs made it possible to differentiate the quality of the compost according to the treatments applied. The treatments used resulted in composts considered phytonutritious whose average quality value depending on the CQI developed was considered high (CQIw = 0.62), moderate (CQIa = 0.56) and low (CQIn = 0.30). The developed CQIs can be applied to determine the quality of BS composting systems reducing the cost of monitoring.

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Sur, Chanyang, Dongkyun Kim, Joo-Heon Lee, Muhammad Mazhar Iqbal und Minha Choi. „Hydrological Drought Assessment of Energy-Based Water Deficit Index (EWDI) at Different Geographical Regions“. Advances in Meteorology 2019 (29.05.2019): 1–11. http://dx.doi.org/10.1155/2019/8512727.

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This study applied the remote sensing-based drought index, namely, the Energy-Based Water Deficit Index (EWDI), across Mongolia, Australia, and Korean Peninsula for the period between 2000 and 2010. The EWDI is estimated based on the hydrometeorological variables such as evapotranspiration, soil moisture, solar radiation, and vegetation activity which are derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) imageries. The estimated EWDI was compared with the Evaporative Stress Index (ESI), the Vegetation Condition Index (VCI), and the Standardized Precipitation Index (SPI). The correlation coefficients between the drought indices are as follows: 0.73–0.76 (EWDI vs ESI), 0.64–0.71 (EWDI vs VCI), 0.54–0.64 (EWDI vs SPI-3), 0.69–0.71 (ESI vs VCI), 0.55–0.62 (ESI vs SPI-3), and 0.53–0.57 (VCI vs SPI-3). The drought prediction accuracy of each index according to error matrix analysis is as follows: 83.33–94.17% (EWDI), 70.00–91.67% (ESI), 47.50–85.00% (VCI), and 61.67–88.33% (SPI-3). Based on the results, the EWDI and ESI were found to be more accurate in capturing moderate drought conditions than the SPI at different geographical regions.

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Kim, Young-Sik, Gi-Sun Kim und Mi-Ra Song. „A Study on SPI(soil pollution index) in City Land“. Korean Journal of Environmental Health Sciences 33, Nr. 6 (31.12.2007): 502–5. http://dx.doi.org/10.5668/jehs.2007.33.6.502.

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Dissertationen zum Thema "SYNTHETIC POLLUTION INDEX (SPI)"

TIWARI, ABHIJEET. „SPATIO- TEMPORAL WATER QUALITY ASSESSMENT OF RIVER GANGA AT DIFFERENT LOCATIONS IN WEST BENGAL, INDIA THROUGH WQI AND SPI“. Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20078.

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An effort has been develop to access the water quality status of river Ganga in West Bengal India for drinking purpose using unified techniques. For this study, 14 parameters at 10 location from Beharampur to Diamond Harbour over 39 months (2020january —2023march) were considered. The eastern stretch of Ganga showed a variation of Water Quality Index (WQI) from 24.4539 to 1790.2545 and Synthetic Pollution Index (SPI) from 0.244539 to 1.7902545 in 36 months. . The map interpolated through GIS exposed that the entire river stretch in 36 months and location near to ocean during the entire period of 36 months were severely polluted (WQI >100 or SPI > 1).Turbidity ,DO and BOD concentration mainly contribute to the high scores of indices. Further, the origin of these ions was estimated through multivariate statistical techniques using SPSS .. It was recognized that the origin of these pollutant is mainly attributed to seawater influx, that of fluoride to human and industrial activities , and other parameters originated through geological as well as human activities. Based on the research, a few possible water treatment mechanisms are suggested to render the water fit for drinking.

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Konferenzberichte zum Thema "SYNTHETIC POLLUTION INDEX (SPI)"

Fang, Fan, Kai Cheng, Hui Ding, Shijin Chen und Liang Zhao. „Sustainable Design and Analysis of CNC Machine Tools: Sustainable Design Index Based Approach and its Application Perspectives“. In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8730.

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In recent years, a major global challenge being faced in manufacturing industry, which requires low energy consumption, low pollution, low emission, less use of non-renewable resources, excellent market competitiveness and cost control capability, better protection of occupational health and safety, excellent technical performance, is to address the associated multifaceted context in environment, economy, society and technology. Many researchers and practitioners have thus been making great efforts in sustainable manufacturing in order to take on the challenges in a comprehensive and scientific manner. As the advanced manufacturing equipment, CNC machine tools particularly their design and applications need to adapt and cope with the increasing demands for sustainability capability and features. Incorporating sustainability at the design stage of CNC machine tools is an effective measure linking to the sustainable design and analysis of machines in particular. However, there is no universally accepted design guidelines and design methodologies for sustainable CNC machine tools yet. At present, many researchers and practitioners focus on one or two specific technologies, such as reducing energy consumption and reducing pollution emissions, for the sustainable performance of CNC machine tools. The study of the comprehensive quantitative analysis for the sustainable performance is still lacking. Therefore, in this paper a sustainable design index (SDI) oriented approach is presented for the machine design and analysis within the CAD/CAE environment. It is expected to be quantitative analysis oriented and applicable to the engineering manufacture in an industrial feasible manner. This analysis model quantitatively evaluates the design scheme of machine tools in four aspects covering environment, economy, society and technology, using the Life Cycle Assessment (LCA) and the Analytic Hierarchy Process (AHP) methods. This SDI analysis model consists of an indexing system, which can fully reflect the sustainable performance of design schemes, and a synthesis algorithm which can accurately calculate the sustainable design index value based on the following criterion levels: energy consumption, pollution emissions, costs, modular design, lightweight design, security, accuracy and processing capability. To enhance the application of SDI analysis model in CAD/CAE environment, we develop a new plugin program, which has been written in Visual Basic. This program can calculate the sustainable design index value for each design schemes by using original design values and weights. Using the approach and the associated tool developed, designers can determine a more sustainable machine design scheme, and further improve the sustainable performance of the machine by applying sustainable design index (SDI) based assessment indicators. A case study shows that the sustainable design performance of design scheme B is 38.10% better than design scheme A.

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