Jiao Ding

Dr. Jiao Ding


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Science of The Total Environment
Verified
Journal Article
Closed access
JDJiao Ding
Jiao Ding
YJYuan Jiang
Yuan Jiang
QLQi Liu
Qi Liu
ZHZhaojiang Hou
Zhaojiang Hou
JLJianyu Liao
Jianyu Liao
QPQiuzhi Peng
Qiuzhi Peng

12 August 2015 in Water
Verified
Journal Article
Open access
PDF file
JDJiao Ding
Jiao Ding
YJYuan Jiang
Yuan Jiang
LFLan Fu
Lan Fu
QLQi Liu
Qi Liu
QPQiuzhi Peng
Qiuzhi Peng
MKMuyi Kang
Muyi Kang
Understanding the relationship between land use and surface water quality is necessary for effective water management. We estimated the impacts of catchment-wide land use on water quality during the dry and rainy seasons in the Dongjiang River basin, using remote sensing, geographic information systems and multivariate statistical techniques. The results showed that the 83 sites can be divided into three groups representing different land use types: forest, agriculture and urban. Water quality parameters exhibited significant variations between the urban-dominated and forest-dominated sites. The proportion of forested land was positively associated with dissolved oxygen concentration but negatively associated with water temperature, electrical conductivity, permanganate index, total phosphorus, total nitrogen, ammonia nitrogen, nitrate nitrogen and chlorophyll-a. The proportion of urban land was strongly positively associated with total nitrogen and ammonia nitrogen concentrations. Forested and urban land use had stronger impacts on water quality in the dry season than in the rainy season. However, agricultural land use did not have a significant impact on water quality. Our study indicates that urban land use was the key factor affecting water quality change, and limiting point-source waste discharge in urban areas during the dry season would be critical for improving water quality in the study area.