{"title":"基于模糊逻辑和Schoeller确定性方法的伊朗北部Dezful - Andimeshk平原地下水可饮用性水质分区","authors":"Sedigheh Shakour, Manouchehr Chitsazan, Seyed Yahya Mirzaee","doi":"10.1007/s43832-023-00046-w","DOIUrl":null,"url":null,"abstract":"Abstract In the Northern Dezful-Andimeshk Plain, the primary source of drinking water is groundwater, which has low quality in some places. Thus, groundwater quality in this area needs an accurate evaluation. In this research, the fuzzy and Schoeller deterministic method assessed the Northern Dezful-Andimeshk Plain drinking water, and the results of both methods were used to zone and compare the drinking quality of the plain groundwater in the Arc GIS environment. The deterministic method classifies drinking water quality from good to bad. According to this method, 56.81% of the total area of the plain has good quality, 20.83% of the total area is acceptable, 18.77% of the total area has inappropriate quality, and 3.57% of the total area has bad quality. However, in the fuzzy method, groundwater in 21.6% of the total area of the plain with a confidence percentage of 70% to 81% is desirable, in 75.23% of the total area of the plain with a confidence percentage of 32% to 70% is acceptable, and 3.69% of the total area of the plain with drinking confidence of 20% to 22% is nonacceptable. The results showed that the fuzzy method is better than the Schoeller deterministic method because it reduces uncertainties, increases accuracy in the evaluation, increases flexibility in the threshold limits of water quality parameters, and provides a quantitative and qualitative assessment of drinking water. Also the zoning map obtained from this method is more compatible with environmental and pollution realities. Graphical Abstract","PeriodicalId":29971,"journal":{"name":"Discover Water","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Zonation of groundwater quality in terms of drinkability, using Fuzzy Logic and Schoeller deterministic method for Northern Dezful - Andimeshk Plain, Iran\",\"authors\":\"Sedigheh Shakour, Manouchehr Chitsazan, Seyed Yahya Mirzaee\",\"doi\":\"10.1007/s43832-023-00046-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In the Northern Dezful-Andimeshk Plain, the primary source of drinking water is groundwater, which has low quality in some places. Thus, groundwater quality in this area needs an accurate evaluation. In this research, the fuzzy and Schoeller deterministic method assessed the Northern Dezful-Andimeshk Plain drinking water, and the results of both methods were used to zone and compare the drinking quality of the plain groundwater in the Arc GIS environment. The deterministic method classifies drinking water quality from good to bad. According to this method, 56.81% of the total area of the plain has good quality, 20.83% of the total area is acceptable, 18.77% of the total area has inappropriate quality, and 3.57% of the total area has bad quality. However, in the fuzzy method, groundwater in 21.6% of the total area of the plain with a confidence percentage of 70% to 81% is desirable, in 75.23% of the total area of the plain with a confidence percentage of 32% to 70% is acceptable, and 3.69% of the total area of the plain with drinking confidence of 20% to 22% is nonacceptable. The results showed that the fuzzy method is better than the Schoeller deterministic method because it reduces uncertainties, increases accuracy in the evaluation, increases flexibility in the threshold limits of water quality parameters, and provides a quantitative and qualitative assessment of drinking water. Also the zoning map obtained from this method is more compatible with environmental and pollution realities. Graphical Abstract\",\"PeriodicalId\":29971,\"journal\":{\"name\":\"Discover Water\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Discover Water\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s43832-023-00046-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Discover Water","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s43832-023-00046-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Zonation of groundwater quality in terms of drinkability, using Fuzzy Logic and Schoeller deterministic method for Northern Dezful - Andimeshk Plain, Iran
Abstract In the Northern Dezful-Andimeshk Plain, the primary source of drinking water is groundwater, which has low quality in some places. Thus, groundwater quality in this area needs an accurate evaluation. In this research, the fuzzy and Schoeller deterministic method assessed the Northern Dezful-Andimeshk Plain drinking water, and the results of both methods were used to zone and compare the drinking quality of the plain groundwater in the Arc GIS environment. The deterministic method classifies drinking water quality from good to bad. According to this method, 56.81% of the total area of the plain has good quality, 20.83% of the total area is acceptable, 18.77% of the total area has inappropriate quality, and 3.57% of the total area has bad quality. However, in the fuzzy method, groundwater in 21.6% of the total area of the plain with a confidence percentage of 70% to 81% is desirable, in 75.23% of the total area of the plain with a confidence percentage of 32% to 70% is acceptable, and 3.69% of the total area of the plain with drinking confidence of 20% to 22% is nonacceptable. The results showed that the fuzzy method is better than the Schoeller deterministic method because it reduces uncertainties, increases accuracy in the evaluation, increases flexibility in the threshold limits of water quality parameters, and provides a quantitative and qualitative assessment of drinking water. Also the zoning map obtained from this method is more compatible with environmental and pollution realities. Graphical Abstract
期刊介绍:
Discover Water is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open access, community-focussed journal publishing research from across all fields relevant to water research.
Discover Water is a broad, open access journal publishing research from across all fields relevant to the science and technology of water research and management. Discover Water covers not only research on water as a resource, for example for drinking, agriculture and sanitation, but also the impact of society on water, such as the effect of human activities on water availability and pollution. As such it looks at the overall role of water at a global level, including physical, chemical, biological, and ecological processes, and social, policy, and public health implications. It is also intended that articles published in Discover Water may help to support and accelerate United Nations Sustainable Development Goal 6: ‘Clean water and sanitation’.