Assessment of heavy metal pollution of surface water through multivariate analysis, HPI and GIS techniques

被引:0
|
作者
Arora, Sameer [1 ]
Saha, Prasenjit [2 ]
Shende, Ashay Devidas [3 ]
机构
[1] Affiliate Johns Hopkins Univ, Jhpiego, India Country Off, Ranchi, India
[2] ICFAI Univ, Dept Civil Engn, Agartala, Tripura, India
[3] KDK Coll Engn, Dept Civil Engn, Nagpur, Maharashtra, India
关键词
cluster analysis; factor analysis; heavy metals; public health; water pollution; PRINCIPAL COMPONENT ANALYSIS; RIVER; CONTAMINATION; SEDIMENTS; QUALITY; BASIN;
D O I
10.2166/wpt.2025.010
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Presence of heavy metals in surface metals is the mounting concern in the world due rapid industrialization and modernization of society, and surface water is being utilized both as source and sink for water consumption and wastewater discharge, respectively. The chemometric method were applied on river for pre and post monsoon seasons to determine the potential heavy metals and development of heavy metal pollution index (HPI). The cluster and factor analysis were applied on thirteen heavy metals monitored over eleven locations for characterizing the highly correlating and potential, respectively heavy metals. The proliferation of health risks of heavy metals was determined through cluster analysis and GIS. The Fe and Mn found exceeding the permissible limits in river and drain samples for both the pre-monsoon and post-monsoon season, whereas other heavy metals were found within the permissible limits throughout the study period. The study suggested that classification of pollutants and assessment of associated risk to human health could provide a valuable insight for the development of remediation measures to minimize the degradation of public health and appropriate treatment technology for minimizing the contamination of water sources.
引用
收藏
页码:148 / 167
页数:20
相关论文
共 50 条
  • [21] Assessment of heavy metal pollution in soils around a paper mill using metal fractionation and multivariate analysis
    Borah, P.
    Paul, A.
    Bora, P.
    Bhattacharyya, P.
    Karak, T.
    Mitra, S.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2017, 14 (12) : 2695 - 2708
  • [22] Assessment and source quantification of heavy metal(loid)s in surface water using multivariate analyses from the Saigon River, Vietnam
    Binh Thanh Nguyen
    Vinh Ngoc Nguyen
    Huong Thu Thi Truong
    Dung Doan Do
    Tong Xuan Nguyen
    Duong Thuy Phuc Nguyen
    My Hoang Nguyen
    Hao Phu Dong
    Anh Hung Le
    Quang-Vu Bach
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (16) : 19383 - 19397
  • [23] Pathways and risk analysis of arsenic and heavy metal pollution in riverine water: Application of multivariate statistics and USEPA-recommended risk assessment models
    Khan, Kifayatullah
    Khan, Muhammad Sajawal
    Younas, Muhammad
    Yaseen, Muhammad
    Al-Sehemi, Abdullah G.
    Kavil, Yasar N.
    Su, Chao
    Ali, Niaz
    Maryam, Afsheen
    Liang, Ruoyu
    JOURNAL OF CONTAMINANT HYDROLOGY, 2025, 269
  • [24] Heavy Metal Pollution in River Ulhas, Maharashtra, India: Unraveling Contamination Dynamics Through Pollution Indices, Multivariate Analysis, and Health Risk Assessment
    Botle, Akshay
    Salgaonkar, Sayli
    Tiwari, Rahul
    Barabde, Gayatri
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 2025, 19 (03)
  • [25] Assessment of heavy metal pollution in surface sediments of the Bayan Lepas area, Penang, Malaysia
    Khodami, Sharareh
    Surif, Misni
    Maznah, Wan W. O.
    Daryanabard, Reza
    MARINE POLLUTION BULLETIN, 2017, 114 (01) : 615 - 622
  • [26] Assessment of Soil Heavy Metal Pollution with Principal Component Analysis and Geoaccumulation Index
    Wei Zhiyuan
    Wang Dengfeng
    Zhou Huiping
    Qi Zhiping
    2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT C, 2011, 10 : 1946 - 1952
  • [27] ASSESSMENT OF HEAVY METAL POLLUTION IN SURFACE WATER OF THE INEGOL PLAIN, TURKEY, USING SPATIOTEMPORAL VARIATION CHARACTERISTICS
    Mentese, Serpil
    Tagil, Sermin
    FRESENIUS ENVIRONMENTAL BULLETIN, 2019, 28 (03): : 1657 - 1666
  • [28] Modified heavy metal Pollution index (m-HPI) for surface water Quality in river basins, India
    Mrunmayee Manjari Sahoo
    Janaki Ballav Swain
    Environmental Science and Pollution Research, 2020, 27 : 15350 - 15364
  • [29] Using multivariate statistical analysis in assessment of surface water quality and identification of heavy metal pollution sources in Sarough watershed, NW of Iran
    Piroozfar, Parisa
    Alipour, Samad
    Modabberi, Soroush
    Cohen, David
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 193 (09)
  • [30] Risk estimation and multivariate statistical analysis of the heavy metal content of drinking water samples
    Jakhu, Rajan
    Mehra, Rohit
    TOXICOLOGY AND INDUSTRIAL HEALTH, 2018, 34 (10) : 714 - 725