干旱区生态环境知识资源中心(Arid): Temporal and Spatial Variation Trends in Water Quality Based on the WPI Index in the Shallow Lake of an Arid Area: A Case Study of Lake Ulansuhai, China

Arid

DOI	10.3390/w11071410
	Temporal and Spatial Variation Trends in Water Quality Based on the WPI Index in the Shallow Lake of an Arid Area: A Case Study of Lake Ulansuhai, China
	Zhang, Qi 1; Yu, Ruihong 1,2; Jin, Ye 1; Zhang, Zhuangzhuang 1; Liu, Xinyu 1; Xue, Hao 1; Hao, Yanling 1,2; Wang, Lixin 1,2
通讯作者	Yu, Ruihong
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:7
英文摘要	Ulansuhai, the largest shallow lake of the Yellow River of China, is an important component of the Hetao region irrigation system. Many concerns have concentrated on its water quality, which affects the local water security and sustainable economic development. In this study, the water pollution index (WPI), an effective water quality evaluation method, was used to compare the pollution levels among pollution indicators and to determine the major pollution indicators. The regime shift index (RSI) approach was employed to identify the water quality trends. Cluster analysis and Daniel trend test methods were employed to analyse the inner-annual and inter-annual spatio-temporal trends of the typical water quality indicators (e.g., total nitrogen (TN), total phosphorus (TP), dissolved oxygen (DO), and chemical oxygen demand (COD)) in Lake Ulansuhai. The results show that the water quality of Ulansuhai improved from 1998 to 2017; spatial variations in the WPITN, WPITP, and WPIDO followed the order of inlet > centre and outlet, while spatial variations in the WPICOD showed the order of outlet > inlet > centre. TN was the critical pollution indicator throughout the year. In 2017, the dry season and wet season were determined using cluster analysis. The WPICOD was higher than the WPITN, WPITP, and WPIDO in the dry season, while the WPITN, WPITP, and WPIDO were higher than the WPICOD in the wet season. WPI was grouped into three clusters: highly polluted regions, moderately polluted regions, and less polluted regions, However, there is a discrepancy between the three polluted regions that were divided into the dry season and the wet season. The WPICOD was highest among all pollution indicators in 2017. Major sources of pollution that contribute to the deterioration of water quality include inner-annual or inter-annual pollution, agricultural non-point pollution, point source pollution, and internal pollution. This study provides useful information for authorities to effectively manage water quality and control water pollution.
英文关键词	Lake Ulansuhai spatio-temporal variation water pollution index (WPI) daniel trend test cluster analysis regime shift
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000480632300095
WOS关键词	POLLUTION INDEX ; RIVER ; MANAGEMENT ; PHOSPHORUS ; DANUBE
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219224
作者单位	1.Inner Mongolia Univ, Sch Ecol & Environm, Key Lab River & Lake Inner Mongolia Autonomous Re, Hohhot 010021, Inner Mongolia, Peoples R China; 2.Minist Educ, Key Lab Ecol & Resources Use Mongolian Plateau, Hohhot 010021, Inner Mongolia, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Qi,Yu, Ruihong,Jin, Ye,et al. Temporal and Spatial Variation Trends in Water Quality Based on the WPI Index in the Shallow Lake of an Arid Area: A Case Study of Lake Ulansuhai, China[J],2019,11(7).
APA	Zhang, Qi.,Yu, Ruihong.,Jin, Ye.,Zhang, Zhuangzhuang.,Liu, Xinyu.,...&Wang, Lixin.(2019).Temporal and Spatial Variation Trends in Water Quality Based on the WPI Index in the Shallow Lake of an Arid Area: A Case Study of Lake Ulansuhai, China.WATER,11(7).
MLA	Zhang, Qi,et al."Temporal and Spatial Variation Trends in Water Quality Based on the WPI Index in the Shallow Lake of an Arid Area: A Case Study of Lake Ulansuhai, China".WATER 11.7(2019).