Source identification and potential health risks from elevated groundwater nitrate contamination in Sundarbans coastal aquifers, India

被引:4
作者
Pal, Subodh Chandra [1 ]
Biswas, Tanmoy [1 ]
Jaydhar, Asit Kumar [1 ]
Ruidas, Dipankar [1 ]
Saha, Asish [1 ]
Chowdhuri, Indrajit [1 ]
Mandal, Sudipto [2 ]
Islam, Aznarul [3 ]
Islam, Abu Reza Md. Towfiqul [4 ,5 ]
Pande, Chaitanya B. [6 ,7 ]
Alam, Edris [8 ,9 ]
Islam, Md Kamrul [10 ]
机构
[1] Univ Burdwan, Dept Geog, Purba Bardhaman 713104, W Bengal, India
[2] Univ Burdwan, Dept Environm Sci, Ecol & Environm Modelling Lab, Purba Bardhaman 713104, W Bengal, India
[3] Aliah Univ, Dept Geog, 17 Gorachand Rd, Kolkata 700014, W Bengal, India
[4] Begum Rokeya Univ, Dept Disaster Management, Rangpur 5400, Bangladesh
[5] Daffodil Int Univ, Dept Dev Studies, Dhaka 1216, Bangladesh
[6] Indian Inst Trop Meteorol, Pune, India
[7] Al Ayen Univ, Sci Res Ctr, New Era & Dev Civil Engn Res Grp, Thi Qar 64001, Nasiriyah, Iraq
[8] Rabdan Acad, Fac Resilience, Abu Dhabi 22401, U Arab Emirates
[9] Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh
[10] King Faisal Univ, Coll Engn, Dept Civil & Environm Engn, Alahsa 31982, Saudi Arabia
关键词
Nitrate contamination; Groundwater pollution; Probable health risk; Sundarbans; POLLUTION; PLAIN;
D O I
10.1038/s41598-024-54646-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In recent years groundwater contamination through nitrate contamination has increased rapidly in the managementof water research. In our study, fourteen nitrate conditioning factors were used, and multi-collinearity analysis is done. Among all variables, pH is crucial and ranked one, with a value of 0.77, which controls the nitrate concentration in the coastal aquifer in South 24 Parganas. The second important factor is Cl-, the value of which is 0.71. Other factors like-As, F-, EC and Mg2+ ranked third, fourth and fifth position, and their value are 0.69, 0.69, 0.67 and 0.55, respectively. Due to contaminated water, people of this district are suffering from several diseases like kidney damage (around 60%), liver (about 40%), low pressure due to salinity, fever, and headache. The applied method is for other regions to determine the nitrate concentration predictions and for the justifiable alterationof some management strategies.
引用
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页数:14
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