Investigating and mapping spatial patterns of arsenic contamination in groundwater using regression analysis and spline interpolation technique | Citedby Results | Journal of Water Supply: Research and Technology-Aqua | IWA Publishing

Skip to Main Content

Skip Nav Destination

Investigating and mapping spatial patterns of arsenic contamination in groundwater using regression analysis and spline interpolation technique

Journal of Water Supply: Research and Technology-Aqua (2013) 62 (6): 385–394.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Spatial interpolation of regional PM2.5 concentrations in China during COVID-19 incorporating multivariate data

Pengzhi Wei
Shaofeng Xie
Liangke Huang
Lilong Liu
Lilu Cui
Youbing Tang
Yabo Zhang
Chunyang Meng
Linxin Zhang

Atmospheric Pollution Research (2023) 14 (3): 101688.

Exploring a variance decomposition approach integrated with the Monte Carlo method to evaluate groundwater fluoride exposure on the residents of a typical fluorosis endemic semi-arid tract of India

Indrani Mukherjee
Umesh Kumar Singh

Environmental Research (2022) 203: 111697.

A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system

Zeng Chen
Huan Xu
Peng Jiang
Shanen Yu
Guang Lin
Igor Bychkov
Alexey Hmelnov
Gennady Ruzhnikov
Ning Zhu
Zhen Liu

Journal of Hydrology (2021) 602: 126573.