A global assessment of climate–water quality relationships in large rivers: An elasticity perspective

Jiang, Jiping; Sharma, Ashish; Sivakumar, Bellie; Wang, Peng

doi:10.1016/j.scitotenv.2013.09.002

Cited by 28 publications

(46 citation statements)

References 28 publications

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“…Climate change promotes degradation of water quality (Paerl & Paul 2012;Jiang et al 2014). Previous studies have shown that shallow-eutrophic lakes are likely to be highly vulnerable to climate change (Delpla et al 2009;Qin et al 2010).…”

Section: Discussionmentioning

confidence: 99%

“…In general, water quality response to climate change is assessed by long-term monitoring data or processbased models. Empirical statistical analysis intuitively establishes the relationships between meteorological factors and water quality variables, particularly for a preliminary investigation at a larger scale (Jiang et al 2014). However, the obvious limitations of statistical approaches are that it is difficult to collect long-term, high-frequency water quality and rigorous meteorological data, and aquatic ecosystems sometimes respond to atmospheric stressors non-linearly and with a time delay.…”

Section: Introductionmentioning

confidence: 99%

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A coupled modeling approach to predict water quality in Lake Taihu, China: linkage to climate change projections

Tang

Jiang

et al. 2015

Journal of Freshwater Ecology

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Climate change is expected to impact water quality and ecosystem health in water bodies. In this study, a modeling framework was developed to assess the response of environmental variables to climate change scenarios in Lake Taihu, China. A coupled hydrodynamic-water quality-sediment flux model was employed to simulate water quality processes under future climate scenarios projected from a general circulation model (GCM) forced by the Representative Concentration Pathway 8.5 (RCP 8.5). The results showed that the climate change impacted physico-chemical parameters and biological interactions in Lake Taihu. The annual average water temperature increased by 0.96, 2.09, and 3.2 C by the 2020s, 2050s, and 2080s, respectively. Daily temperature stratification tended to occur earlier and the period of stratification increased, especially in summer during calm wind conditions. The sediment flux increased and dissolved oxygen (DO) concentration decreased with climate change. Additionally, climate change increased the onset time, duration, and areas of algal blooms. The results showed that the blooms activation time advanced approximately six days per decade. The onset time of algal blooms of 2080s was in February and March and the elevated concentration of chlorophyll a lasted until late autumn in the west lake region. The chlorophyll a concentration in summer did not increase substantially (about 10À15 mg/L). Overall, water management strategies and ecological restoration plans in Lake Taihu, mainly based on nutrient load reduction and hydrodynamic modification, should incorporate anticipated effects of climate change.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A coupled modeling approach to predict water quality in Lake Taihu, China: linkage to climate change projections

Tang

Jiang

et al. 2015

Journal of Freshwater Ecology

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“…To contrast, empirical statistical techniques are more beneficial for an elementary analysis of the climate-water quality relationship on a larger scale [24,25]. Therefore, for a preliminary study, statistical approaches have more benefits compared to water quality models [26]. Climate elasticity of water quality (CEWQ), introduced by Jiang et al [26], is useful for such an investigation.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, for a preliminary study, statistical approaches have more benefits compared to water quality models [26]. Climate elasticity of water quality (CEWQ), introduced by Jiang et al [26], is useful for such an investigation.…”

Section: Introductionmentioning

confidence: 99%

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How Do Terrestrial Determinants Impact the Response of Water Quality to Climate Drivers?—An Elasticity Perspective on the Water–Land–Climate Nexus

et al. 2017

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Investigating water-land-climate interactions is critical for urban development and watershed management. This study examined this nexus by elasticity and statistical approaches through the lens of three watersheds: The Yukon, Mekong and Murray. Here, this study reports the fundamental characteristics, explanations and ecological and management implications of terrestrial determinant influence on the response of water quality to climate drivers. The stability of the response, measured by climate elasticity of water quality (CEWQ), is highly dependent on terrestrial determinants, with strong impacts from anthropogenic biomes and low impacts from surficial geology. Compared to temperature elasticity, precipitation elasticity of water quality is more unstable due to its possible linkages with many terrestrial determinants. Correlation and linear models were developed for the interaction system, which uncovered many interesting scenarios. The results implied that watersheds with a higher ratio of rangeland biomes have a lower risk of instability as compared to watersheds with a higher proportion of dense settlement, cropland and forested biomes. This study discusses some of the most essential pathways where instability might adversely affect CEWQ parameters and recommends suggestions for policy makers to alleviate the instability impacts to bring sustainability to the water environment.

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Climate change and water‐related ecosystem services: impacts of drought in california, usa

Chang

Bonnette

2016

Ecosyst Health Sustain

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We investigated the potential impacts of climate change on water‐related ecosystem services (WES). Based on the review of the recent literature, we concluded that climate change will have substantial effects on provisioning, regulating, and cultural WES via changes in the distribution and value of water over space and time. However, the effects of climate change on specific WES will be different depending on the extent of the impact of such changes in the distribution of water and the adaptive capacity of the region's biophysical and social system. The 2015 California drought provides an excellent example of the cascading effects of climate change on multiple WES. Declining streamflow and the concomitant rising stream temperatures have immediately threatened the provision of drinking water and hydropower generation and threatened the health of ecosystems that rely on water. The secondary effects of drought on WES are widespread across different water‐dependent industries, including water‐based recreation. The findings of our study also show that the impacts of climate change will differ by location, suggesting a need for a place‐based flexible climate adaptation strategy. We also suggest that future research directions include the examination of: (1) the multiple cascading effects of climate change on potential synergies and tradeoffs among different WES, (2) the specific effects of changing climate and the connectivity of WES from upstream to downstream WES users, (3) the changing value of WES over space and time under changing climates, and (4) the effectiveness of various climate adaptation measures on the whole suite of WES.

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A global assessment of climate–water quality relationships in large rivers: An elasticity perspective

Cited by 28 publications

References 28 publications

A coupled modeling approach to predict water quality in Lake Taihu, China: linkage to climate change projections

A coupled modeling approach to predict water quality in Lake Taihu, China: linkage to climate change projections

How Do Terrestrial Determinants Impact the Response of Water Quality to Climate Drivers?—An Elasticity Perspective on the Water–Land–Climate Nexus

Climate change and water‐related ecosystem services: impacts of drought in california, usa

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