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Wan, R. R., Cai, S. S., Li, H. P., Yang, G. S., Li, Z. F., & Nie, X. F. (2014). Inferring Land Use and Land Cover Impact on Stream Water Quality Using a Bayesian Hierarchical Modeling Approach in the Xitiaoxi River Watershed, China. Journal of Environmental Management, 133, 1-11.
https://doi.org/10.1016/j.jenvman.2013.11.035

has been cited by the following article:

• TITLE: Exploring the Linkage between Land Use Type and Stream Water Quality of an Estuarine Island Applying GWR Model: A Case Study of Chongming, Shanghai

  AUTHORS: Lei Ding

  KEYWORDS: Estuarine Island, Land Use, Stream Water Quality, Geographical Weight Regression

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.10 No.7, July 28, 2022

  ABSTRACT: To understand the spatial correlations between land use type and water quality of an estuarine island is particularly essential to maintain its original ecological environment. Chongming Island is experiencing a rapid urbanization and agriculture land sprawl during the last decades, especially with the growth of agro-industry and the extension of old style residences. As a consequence, surface run-off from agricultural activities and domestic sewage discharge has a various linkage with stream water quality on the island. This study applied ageographical weight regression model approach to recognize the significance of the relationship between water quality and multiple land use. We also evaluated their spatial correlations which normally hidden from other traditional regression methods. The results reveal that the water quality of less-developed areas on Chongming Island was easily affected by land use types compared with other regions, TN, TP, BOD5, COD were shown as the most significant responses among all the water quality indicators. Green land and water area had a reduced effect on nutrients, expansion of industrial land would continuously make a contribution of pollutants to the water environment. Suggestions should therefore be taken into consideration during the process of development planning, in order to prevent water contamination.