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

Khan, Afed U.1,2; Wang, Peng1; Jiang, Jiping3; Shi, Bin4

2018-11

10.1007/s10661-018-7044-1

ENVIRONMENTAL MONITORING AND ASSESSMENT   影响因子和分区

0167-6369

1573-2959

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.

Water quality Climatic drivers Long-term trends Climate elasticity Probability distributions Rivers

SCI ; EI

英语

通讯

Southern University of Science and Technology[G01296001]

Environmental Sciences & Ecology

Environmental Sciences

WOS:000447809200023

SPRINGER

20184305977125

Climate change ; Elasticity ; Rivers ; Surface waters ; Turbidity ; Water quality ; Watersheds

Atmospheric Properties:443.1 ; Surface Water:444.1 ; Water Analysis:445.2 ; Light/Optics:741.1 ; Probability Theory:922.1

ENVIRONMENT/ECOLOGY

Web of Science

1.Harbin Inst Technol, Sch Environm, Harbin 150090, Heilongjiang, Peoples R China
2.Univ Engn & Technol Peshawar, Dept Civil Engn, Bannu Campus, Peshawar 25000, Pakistan
3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, State Environm Protect Key Lab Integrated Surface, Shenzhen 518055, Peoples R China
4.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China

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).

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).

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).