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
  • [41] Statistical Assessment of Heavy Metal Distribution and Contamination of Beach Sands of Antalya-Turkey: an Approach to the Multivariate Analysis Techniques
    Yalcin, Fusun
    Nyamsari, Daniel G.
    Paksu, Ebru
    Yalcin, M. Gurhan
    FILOMAT, 2016, 30 (04) : 945 - 952
  • [42] Evaluation of surface water quality and heavy metal pollution of Coruh River Basin (Turkey) by multivariate statistical methods
    Bilgin, Ayla
    Konanc, Mustafa Umut
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (12)
  • [43] Multivariate Statistical Analysis and Environmental Modeling of Heavy Metals Pollution by Industries
    Mustapha, Adamu
    Aris, Ahmad Zaharin
    POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2012, 21 (05): : 1359 - 1367
  • [44] Heavy metal pollution status in surface sediments of the Khajeh Kory River, north Iran
    Zare Khosheghbal, Maryam
    Esmaeilzadeh, Marjan
    Ghazban, Fereydoun
    Charmsazi, Mohammad Ebrahim
    WATER SCIENCE AND TECHNOLOGY, 2020, 81 (06) : 1148 - 1158
  • [45] Heavy metal pollution in surface water and sediment: A preliminary assessment of an urban river in a developing country
    Islam, Md Saiful
    Ahmed, Md Kawser
    Raknuzzaman, Mohammad
    Habibullah-Al-Mamun, Md
    Islam, Muhammad Kamrul
    ECOLOGICAL INDICATORS, 2015, 48 : 282 - 291
  • [46] Assessment of pollution in roadside soils by using multivariate statistical techniques and contamination indices
    Kumar, Rajneesh
    Kumar, Vinod
    Sharma, Anket
    Singh, Navdeep
    Kumar, Rakesh
    Katnoria, Jatinder Kaur
    Bhardwaj, Renu
    Thukral, Ashwani Kumar
    Rodrigo-Comino, Jesus
    SN APPLIED SCIENCES, 2019, 1 (08):
  • [47] Heavy metal pollution of water and bottom sediments of the Wilanowskie Lake
    Wojtkowska, Malgorzata
    DESALINATION AND WATER TREATMENT, 2020, 191 : 110 - 117
  • [48] Heavy Metal Pollution Assessment in Lake Rinconada in the
    Salas-Mercado, Dante
    Belizario-Quispe, German
    Horna-Munoz, Daniel
    POLLUTION, 2023, 9 (02): : 477 - 493
  • [49] Assessment of surface water quality using multivariate statistical techniques: a case study of Behrimaz Stream, Turkey
    Varol, Memet
    Sen, Buelent
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2009, 159 (1-4) : 543 - 553
  • [50] Novel assessment method of heavy metal pollution in surface water: A case study of Yangping River in Lingbao City, China
    Liu, Yingran
    Yu, Hongming
    Sun, Yu
    Chen, Juan
    ENVIRONMENTAL ENGINEERING RESEARCH, 2017, 22 (01) : 31 - 39