Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China

CAS OpenIR

	Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China
	Wang, Ya'nan; Li, Bing; Yang, Guishan
	2022
发表期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷号	30 期号:2 页码:4986-5004
文献类型	期刊论文
条目标识符	http://159.226.73.51/handle/332005/21445
专题	中国科学院南京地理与湖泊研究所
推荐引用方式 GB/T 7714	Wang, Ya'nan,Li, Bing,Yang, Guishan. Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2022,30(2):4986-5004.
APA	Wang, Ya'nan,Li, Bing,&Yang, Guishan.(2022).Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,30(2),4986-5004.
MLA	Wang, Ya'nan,et al."Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30.2(2022):4986-5004.