Fu-xing Liu

Prof. Fu-xing Liu


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 February 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
JWJunli Wang
Junli Wang
ZFZishi Fu
Zishi Fu
HQHongxia Qiao
Hongxia Qiao
FLFu-xing Liu
Fu-xing Liu

27 July 2018 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
JWJunli Wang
Junli Wang
ZFZishi Fu
Zishi Fu
GCGuifa Chen
Guifa Chen
GZGuoyan Zou
Guoyan Zou
XSXiangfu Song
Xiangfu Song
FLFu-xing Liu
Fu-xing Liu

8 November 2018 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
JWJunli Wang
Junli Wang
GCGuifa Chen
Guifa Chen
GZGuoyan Zou
Guoyan Zou
XSXiangfu Song
Xiangfu Song
FLFu-xing Liu
Fu-xing Liu

1 February 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
JWJunli Wang
Junli Wang
GCGuifa Chen
Guifa Chen
ZFZishi Fu
Zishi Fu
HQHongxia Qiao
Hongxia Qiao
FLFu-xing Liu
Fu-xing Liu

15 June 2019 in Bulletin of Environmental Contamination and Toxicology
Verified
Journal Article
Closed access
PDF file
JWJunLi Wang
JunLi Wang
GLGang Liu
Gang Liu
FLFu-xing Liu
Fu-xing Liu
JZJianGuo Zhu
JianGuo Zhu

8 November 2023 in Agronomy
Verified
Journal Article
Open access
PDF file
JWJunli Wang
Junli Wang
ZFZishi Fu
Zishi Fu
HQHongxia Qiao
Hongxia Qiao
YBYucui Bi
Yucui Bi
FLFu-xing Liu
Fu-xing Liu
Agricultural non-point source pollution (ANPSP) is a primary cause of watershed water quality deterioration, and over 50% of NPS pollutants are estimated to come from ANPSP. Based on the “source-sink” theory and minimum cumulative resistance (MCR) model, ANPSP source and key resistance factors were integrated to identify areas at risk of ANPSP production and transportation into the waters of the upper Yangtze River basin. The results showed a spatial difference in the agricultural pollution sources of the basin, which were determined using both ANPSP loads and land-use types. Soil type, rainfall erosivity, and elevation were the three most important resistance factors in pollution transportation, weighting 0.373, 0.241, and 0.147, respectively. There was a spatial effect on the comprehensive resistance of ANPSP transportation, which was lower in mountainous terrain at the central basin. On the coupling of source and resistance processes, regions at serious risk of ANPSP were found to be concentrated in the southwest area. Areas at very high risk of NH3-N and TP pollution accounted for 37.6% and 38.1%, respectively, in the total town/street area. The spatial risk patterns identified in this study could be used for decision making and policy regulation of ANPSP and for aquatic environmental protection.