Evaluation of drinking water quality in Xinjiang based on the improved comprehensive water quality index DOI Creative Commons
Jie Li,

Lingshuang Lv,

Zhe Wei

и другие.

Heliyon, Год журнала: 2024, Номер 11(1), С. e41160 - e41160

Опубликована: Дек. 16, 2024

Язык: Английский

Assessment of groundwater quality in arid regions utilizing principal component analysis, GIS, and machine learning techniques DOI
Mustafa El-Rawy, Mohamed Wahba, Heba Fathi

и другие.

Marine Pollution Bulletin, Год журнала: 2024, Номер 205, С. 116645 - 116645

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

19

Water quality assessment of Bheemasandra Lake, South India: A blend of water quality indices, multivariate data mining techniques, and GIS DOI
S Dhanush, M. Mahadeva Murthy,

A. Sathish

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(25), С. 36728 - 36747

Опубликована: Май 16, 2024

Язык: Английский

Процитировано

3

Assessment of groundwater quality and suitability for Irrigation purpose using Irrigation Indices, Remote Sensing and GIS approach DOI
S.K. Shaw, Anurag Sharma

Groundwater for Sustainable Development, Год журнала: 2024, Номер 26, С. 101297 - 101297

Опубликована: Июль 31, 2024

Язык: Английский

Процитировано

3

Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha DOI Creative Commons

Abhijeet Das

HydroResearch, Год журнала: 2024, Номер 8, С. 99 - 112

Опубликована: Окт. 12, 2024

Язык: Английский

Процитировано

3

A Comparative Assessment and its Characterization of the Integrated Novel Water Pollution Index and its Statistical Approach for the Evaluation of Spatial Variations Using Factor Analysis: A Geospatial Approach in Mahanadi River, Odisha DOI Creative Commons
Abhijeet Das

MATEC Web of Conferences, Год журнала: 2024, Номер 400, С. 02007 - 02007

Опубликована: Янв. 1, 2024

Knowledge on water quality and its assessment, is necessary for both human health environmental benefit. To account spatial distribution, surface parameters were analysed using integrated interpolation, geographical information systems (GIS) multivariate analysis. A total of 19 locations 13 indicators analysed, a duration six years (2018-2024). The study’s main objective was to assess the seasonal regional variations in index (WQI) Mahanadi River Odisha (N) pi, (S) pi , (O) (C) (E) y -WQI, Int w -WQI Multivariate Statistical tools namely Factor Analysis (F ). However, current investigation, pH, HCO 3 - Na + K Mg 2+ within permissible limits as per WHO standards. According this study, order prevalence ion concentrations signified follows: > Ca cations Cl SO 4 2- anions. analysis indicated that about 15.79% sampled area, affected by turbidity content, which highly unsuitable consumption. remaining area (84.21%) safe category water. Classification based represents most samples falls between good quality. Three noted result excessive TDS EC. In case over 84.21% fell into categories excellent, indicating suitability activities. Using results from model, reflects out samples, 16 suitable drinking. Whereas 2 polluted 1 seriously polluted, thus promotes unsuitability. Although there are several established techniques calculating WQI, study uses consider variety concerns cohesive manner. Meanwhile, y- 84.30% excellent whereas 10% 5% poor high category. Over 42.11% poor/very poor/not suitable, w- WQI diagram. Therefore, these approaches resembles precise comprehensive method comprehend relation pollution usage. later stage, factor ) can be applied lessen subjectivity dimension characteristics. It reveals first five principal components explain almost 95.61% dataset variation. This removes aggregation problems, weighting, opacity, biases seen traditional evaluation techniques. Fa suggested turbidity, TKN, primary determinants water’s amount organic released river influenced anthropogenic activity vicinity river. addition, dense habitation next manufacturing waste transported upstream downstream sources TKN urine faeces. given distribution geogenic occurrence, findings minimize uncertain causes offer insights regimes. They will also useful policy makers helping better plan, allocate resources, manage area’s potable supply.

Язык: Английский

Процитировано

2

Integrated study of hydrochemistry, quality and risk to human health of groundwater in the upper reaches of the Wulong River Basin DOI Creative Commons
Chunwei Liu,

Caiping Hu,

Xiancang Wu

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(10), С. e0312000 - e0312000

Опубликована: Окт. 21, 2024

Groundwater, a vital source of water supply, is currently experiencing pollution crisis that poses significant risk to human health. To understand the hydrochemical formation mechanisms, quality and health groundwater in upper reaches Wulong River basin, 63 sets samples were collected analyzed. A combination mathematical statistics, correlation analysis, Gibbs diagram, ion ratio, cation exchange comprehensively employed for further index (WQI) assessment conducted. The results indicate generally neutral weakly alkaline. dominant cations are Ca 2+ Mg , while main anions HCO 3 − SO 4 2− . types mainly include ·SO -Ca, -Ca -Na. diverse due fractured discontinuous nature aquifers. characteristics influenced by dissolution silicate carbonate minerals, processes, anthropogenic pollution. presence NO primarily attributed agricultural activities. categorized as "Good" (36.6%) "Poor" (60.8%). "Very poor" "Excellent" categories rare, accounting only 1.2% 1.4%, respectively, no classified "Non-drinkable". Ew i highest, indicating severe contamination Human reveals posing exposure risks account 82.54% children 79.37% adults. This study highlighted nitrate has deteriorated quality, It also suggests an urgent need enhance research protective measures similar regions, such Shandong Peninsula.

Язык: Английский

Процитировано

0

Spatial interpolation and mapping groundwater quality using geostatistical method: case study in Jakham River Basin DOI
Vinay Kumar Gautam, Pradeep Kumar Singh,

Mahesh Kothari

и другие.

Environmental Earth Sciences, Год журнала: 2024, Номер 83(24)

Опубликована: Ноя. 29, 2024

Язык: Английский

Процитировано

0

Evaluation of drinking water quality in Xinjiang based on the improved comprehensive water quality index DOI Creative Commons
Jie Li,

Lingshuang Lv,

Zhe Wei

и другие.

Heliyon, Год журнала: 2024, Номер 11(1), С. e41160 - e41160

Опубликована: Дек. 16, 2024

Язык: Английский

Процитировано

0