Assessment of spatial and temporal variations in water quality by the application of multivariate statistical methods in the Kali River, Uttar Pradesh, India

被引:32
|
作者
Singh, Gaurav [1 ,2 ]
Patel, Neelam [2 ]
Jindal, Tanu [1 ]
Srivastava, Prateek [3 ]
Bhowmik, Arpan [4 ]
机构
[1] Amity Univ Uttar Pradesh, Amity Inst Environm Sci, Sect 125, Noida 201313, UP, India
[2] ICAR Indian Agr Res Inst, Water Technol Ctr, New Delhi 110012, India
[3] Univ Allahabad, Chaudhary Mahadeo Prasad Degree Coll, Allahabad 211002, Uttar Pradesh, India
[4] ICAR Indian Agr Stat Res Inst, Div Design Expt, New Delhi 110012, India
关键词
Kali River; Physicochemical variables; Water quality index; Principal component analysis; Pollution index; Heavy metals; HEAVY-METAL CONTAMINATION; SURFACE-WATER; URBAN RIVER; POLLUTION; INDEX; CHEMISTRY; SEDIMENT; DISTRICT; SUBBASIN; IMPACT;
D O I
10.1007/s10661-020-08307-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Kali River is a significant source of surface water as well as the main tributary of River Hindon that flows through major cities of western Uttar Pradesh, India. It flows throughout the urban and industrial regions; hence, it carries various amounts of pollutant. Therefore, a study was conducted to examine spatial-temporal variations in river water quality by determining physicochemical variables and heavy metal concentrations at seventeen sampling stations (S-1-S-17) throughout the river stretch. Various physicochemical variables, namely pH, EC, TDS, turbidity, BOD, COD, TH, TA, Ca, Mg, Na, K, HCO3-, Cl-, SO42-, NO3-, and PO43- were higher in summer than in winter. The order of mean metal concentrations was Fe > Pb > Mn > Ni > Zn > Cu > Cr > Cd. The relationships among measured physicochemical variables and pollution index were examined. Furthermore, multivariate statistical methods were used to assess spatial-temporal variation in water quality to identify current pollution sources and validate results. Water quality index and comprehensive pollution index indicated that the Kali River was less polluted from S-1 to S-8. However, downstream sampling sites were polluted. Pollution starts from S-9 and drastically increases at and beyond S-13 because of effluents from industries and sugar mills in Muzaffarnagar. The study suggests cleaning the downstream region of river to restore human health and flora and fauna in the river ecosystem.
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页数:26
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