Long-term trends and probability distributions of river water quality variables and their relationships with climate elasticity characteristics

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Long-term trends and probability distributions of river water quality variables and their relationships with climate elasticity characteristics
	Khan, Afed U.; Wang, Peng; Jiang, Jiping; Shi, Bin
刊名	ENVIRONMENTAL MONITORING AND ASSESSMENT
	2018-11-01
卷号	190 期号:11 页码:-
关键词	Water quality Climatic drivers Long-term trends Climate elasticity Probability distributions Rivers
ISSN号	0167-6369
文献子类	Article
英文摘要	The statistical characteristics of surface water quality play fundamental roles in climate change-related studies. Climatic drivers will affect surface water quality, and such potential effects will vary between different regions and climate types. Here, we studied the long-term trends and probability distributions of water quality variables (including water temperature, pH, turbidity, DO, C-,N-,P-variables, etc.) and their relationship with climate elasticity, a non-parametric estimator of the sensitivity of the response of water quality to climate drivers, based on three typical watersheds: the Yukon, the Mekong, and the Murray. Significant decreasing trends were observed in the Yukon and Murray watersheds for the majority of water quality variables, except turbidity and filtered nitrate plus nitrite, whereas increasing trends were exhibited by most water quality variables in the Mekong watershed. Compared with the Yukon and Murray watersheds, the probability distributions of most water quality variables and their corresponding percentage change-based elasticity estimator samples are characterized by a heavy-tailed distribution in the Mekong watershed. The precipitation elasticity results are statistically meaningful in the Mekong and Murray watersheds, whereas temperature elasticity is significant in the Yukon watershed. The revealed characteristics of long-term trends and probability distributions pattern of basic water quality variables are helpful for water quality modeling. The findings suggested that the increasing trends, heavy-tailed probability distribution patterns, and the response of water quality to precipitation and temperature, especially in densely populated developing areas, can be modulated by restoration efforts, which will reduce the potential impacts of climatic and non-climatic factors.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/40602]
专题	生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式 GB/T 7714	Khan, Afed U.,Wang, Peng,Jiang, Jiping,et al. Long-term trends and probability distributions of river water quality variables and their relationships with climate elasticity characteristics[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2018,190(11):-.
APA	Khan, Afed U.,Wang, Peng,Jiang, Jiping,&Shi, Bin.(2018).Long-term trends and probability distributions of river water quality variables and their relationships with climate elasticity characteristics.ENVIRONMENTAL MONITORING AND ASSESSMENT,190(11),-.
MLA	Khan, Afed U.,et al."Long-term trends and probability distributions of river water quality variables and their relationships with climate elasticity characteristics".ENVIRONMENTAL MONITORING AND ASSESSMENT 190.11(2018):-.