Occurrence, toxicity load, pollution index and health risk assessment of trace elements in drinking water of two catchments in North-western Himalayas DOI

Asiya Rahim,

Savidh Khan, Asha Rani

и другие.

International Journal of River Basin Management, Год журнала: 2023, Номер unknown, С. 1 - 12

Опубликована: Ноя. 14, 2023

The study focuses on the analysis of trace metals in drinking water from Ganderbal and Budgam districts Jammu Kashmir. We have used high-resolution inductively-coupled plasma mass spectrometry (HR-ICP-MS) to measure concentrations 31 samples. measured were then compared with permissible limits set by United States Environmental Protection Agency (USEPA), Bureau Indian Standards (BIS), World Health Organization (WHO). results indicate that arithmetic mean several elements, including aluminum (Al = 781), chromium (Cr 139), manganese (Mn 41.86), nickel (Ni 25.89), molybdenum (Mo 1.30), cadmium (Cd 36.86), mercury (Hg 67.65), µg l−1 found higher than their respective limits. On other hand, such as beryllium (Be 0.14), boron (B 32.72), iron (Fe 233), cobalt (Co 1.79), copper (Cu 10.71), arsenic (As 0.93), selenium (Se 3.13), strontium (Sr 257), zinc (Zn 43), antimony (Sb 1.44), barium (Ba 28.56), gold (Au 0.91), lead (Pb 0.91) l−1, had below recommended USEPA, BIS, WHO. To assess toxicity heavy area, we calculated Heavy Metal Toxicity Load (HMTL) for each metal. Based these calculations, concluded only (Cd) (Cr) need be removed ensure safety. also conducted a health risk assessment children adults based metals. considered ingestion dermal contact routes exposure. Hazard Index (HI), which indicates non-carcinogenic effects, exceeded unity one element, (Cd), adult groups. This suggests potential risks associated contact. Additionally, carcinogenic (As) was identified further attention. evaluated Pollution (HPI) overall quality area. HPI indicated good, pollution levels area low. Overall, findings this provide valuable information resource development supply agencies. can baseline future research monitoring efforts region.

Язык: Английский

Demarcation of subsurface water storage potential zone and identification of artificial recharge site in Vel River watershed of western India: integrated geospatial and hydrogeological modeling approach DOI
Ajaykumar Kadam, S. N. Patil, S. P. Gaikwad

и другие.

Modeling Earth Systems and Environment, Год журнала: 2023, Номер 9(3), С. 3263 - 3278

Опубликована: Янв. 12, 2023

Язык: Английский

Процитировано

10

Identification of groundwater potential zones of Alappuzha (Kerala) in South India integrating AHP and GIS DOI

S. Selvam,

Akhila V. Nath, Priyadarsi D. Roy

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Май 7, 2024

Язык: Английский

Процитировано

4

Land use land cover (LULC) analysis in Nigeria: a systematic review of data, methods, and platforms with future prospects DOI Creative Commons
Okikiola Michael Alegbeleye, Yetunde Oladepe Rotimi, Patricia Oladayo Shomide

и другие.

Bulletin of the National Research Centre/Bulletin of the National Research Center, Год журнала: 2024, Номер 48(1)

Опубликована: Дек. 17, 2024

Abstract Understanding land use and cover (LULC) classification is critical for addressing environmental human needs, particularly in developing countries. Nigeria a country experiencing rapid population growth economic development leading to increased LULC changes. While many studies have been done on changes, there need comprehensive review of existing knowledge limitations analyses Nigeria. Hence, using the Preferred Reporting Items Systematic Reviews Meta-Analyses method, this paper presents systematic by examining adopted remote sensing data, pre-classified global regional maps, validation methods. This draws attention significant highlights awareness access readily available data. provides broad overview methods, focus, scale, constraints associated with analysis Also, it probable solutions challenges GEE-based scripts. There create prioritize national data repository ensure sustainable monitoring management will facilitate spatial temporal assessment at different scales regions. High-resolution imagery advanced methods such as deep learning be accurate scales. programs, collaboration, capacity-building initiatives beneficial current emerging related

Язык: Английский

Процитировано

3

Identifying groundwater potential zones in a typical irrigation district using the geospatial technique and analytic hierarchy process DOI Creative Commons
Qianghui Song, Meng Ma, Yuyu Liu

и другие.

Geocarto International, Год журнала: 2025, Номер 40(1)

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0

Groundwater Development Within the Nigerian Crystalline and Sedimentary Aquifers: Challenges and Opportunities DOI
Johnbosco C. Egbueri, Johnson C. Agbasi, Leonard N. Onuba

и другие.

Springer water, Год журнала: 2025, Номер unknown, С. 297 - 325

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Watershed Prioritization for Rainwater Harvesting Using Multi-criteria Analysis, GIS, and Remote Sensing DOI

S. K.,

A. K. Haghi

Synthesis lectures on sustainable development, Год журнала: 2025, Номер unknown, С. 49 - 67

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Assessing and addressing groundwater depletion in yemen’s Ibb sub-basins: an original study on challenges and sustainable management strategies DOI Creative Commons

Yahia Alwathaf,

Nabil M. Al‐Areeq, Ahmed M. Al‐Areeq

и другие.

All Earth, Год журнала: 2025, Номер 37(1), С. 1 - 17

Опубликована: Апрель 17, 2025

Язык: Английский

Процитировано

0

Aquifer vulnerability assessment in data-scarce areas: a spatially explicit assessment DOI Creative Commons
Changhyun Jun, Dongkyun Kim, Sayed M. Bateni

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 24, 2025

Процитировано

0

Based on AHP–VW–PSR for groundwater vulnerability assessment and pollution prevention in industrial–agricultural regions: a case study of the Zhongyuan oilfield DOI Creative Commons

Yawei Zhang,

Junpei Chen, Di Zhang

и другие.

Geocarto International, Год журнала: 2025, Номер 40(1)

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0

Application of Multivariable Statistical and Geo-Spatial Techniques for Evaluation of Water Quality of Rudrasagar Wetland, the Ramsar Site of India DOI Open Access
Pradip Debnath, Stabak Roy,

Satarupa Bharadwaj

и другие.

Water, Год журнала: 2023, Номер 15(23), С. 4109 - 4109

Опубликована: Ноя. 27, 2023

The water quality of Rudrasagar Lake, the second-largest natural reservoir Tripura is great ecological and economic importance as it serves a diverse range purposes, including fishing, irrigation, aquaculture, domestic use, recreation activities. This study investigates area, an esteemed Ramsar site in North Eastern India, using combined application multivariable statistical geospatial techniques. In this study, 24 samples were designed based on their use collected along periphery inner areas lake employing Latin Square Matrix. research also examines spatial variations involving quartile-based categorization parameters, with Pearson’s Correlation analysis, Principal Component Analysis (PCA), Hierarchy Cluster (HCA) applied for dimension reduction. analysis involved PCA HCA Meanwhile, Inverse distance weighted (IDW) approach was used to interpolate distribution quartile score ArcGIS platform. Bureau Indian Standards (BIS) followed assessment. results revealed significant variation, providing valuable insights future management strategies. indicates 57.26% variance dataset, whereas classified into three subgroups two groups dendrogram representing result HCA. demonstrates utility PCA, HCA, IDW interpolation assessment, highlighting effect human-induced activities lake’s vicinity.

Язык: Английский

Процитировано

8