xiaoyu song

Prof. Dr. xiaoyu song


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 October 2019 in CATENA
Verified
Journal Article
Closed access
LXLu Xia
Lu Xia
XSxiaoyu song
xiaoyu song
NFNa Fu
Na Fu
SCShengyu Cui
Shengyu Cui
LLLanjun Li
Lanjun Li
YLYaolin Li
Yaolin Li

1 October 2020 in Agriculture, Ecosystems & Environment
Verified
Journal Article
Closed access
LLLanjun Li
Lanjun Li
XSxiaoyu song
xiaoyu song
LXLu Xia
Lu Xia
NFNa Fu
Na Fu
DFDan Feng
Dan Feng
YLYaolin Li
Yaolin Li

15 February 2018 in Hydrological Processes
Verified
Journal Article
Closed access
PDF file
LXLu Xia
Lu Xia
XSxiaoyu song
xiaoyu song
NFNa Fu
Na Fu
SCShengyu Cui
Shengyu Cui
LLLanjun Li
Lanjun Li
YLYaolin Li
Yaolin Li


30 December 2020 in Journal of Chemistry
Verified
Journal Article
Open access
PDF file
CMChunfang Meng
Chunfang Meng
XSxiaoyu song
xiaoyu song
KTKening Tian
Kening Tian
BYBingxiao Ye
Bingxiao Ye
TSTianxiu Si
Tianxiu Si
Blackening and odorization of heavily polluted rivers has become a serious concern and threat to ecological and human health. This paper aims to gain a deeper understanding of changes in water pollution and the cause of pollution formation in a heavily polluted river in the upper Hai River. In this study, comprehensive water quality index (CWQI) and multivariate statistical techniques (MSTs) were applied to assess the spatiotemporal variation characteristics of water pollution and to identify potential pollution sources. The seasonal Mann–Kendall (SMK) test and the SMK test of flow-adjusted concentrations were effectively used to explore the temporal variation trends of major pollutants and the causes of their formation. Data of 15 water quality parameters were analyzed during 1980–2018 at 19 monitoring sites in the mainstream and major tributaries of the Xinxiang Section of the Wei River (XSWR). The results showed that the rivers were seriously polluted from 1991 to 2009, but the water quality improved after 2010. Nineteen sampling sites were divided into a low pollution region and a high pollution region. In the flood season, the pollution sources were mainly domestic sewage, industrial wastewater, agricultural runoff, biochemical pollution, and natural sources. In the nonflood season, the pollution sources were mainly domestic sewage and industrial wastewater. In recent years, the water quality of seriously polluted river has generally improved, mainly due to reductions in pollutant discharge from point sources and nonpoint sources.