Hydrological Modeling to Evaluate Future Climate Change Impacts in Sind River Basin, India

Abstract. In this study, a hydrological modelling framework was introduced to assess the climate change impacts on future river flow in the West River basin, China, especially on streamflow variability and extremes. The modelling framework includes a delta-change method with the quantile-mapping technique to construct future climate forcings on the basis of observed meteorological data and the downscaled climate model outputs. This method is able to retain the signals of extreme weather events, as projected by climate models, in the constructed future forcing scenarios. Fed with the historical and future forcing data, a large-scale hydrologic model (the Variable Infiltration Capacity model, VIC) was executed for streamflow simulations and projections at daily time scales. A bootstrapping resample approach was used as an indirect alternative to test the equality of means, standard deviations and the coefficients of variation for the baseline and future streamflow time series, and to assess the future changes in flood return levels. The West River basin case study confirms that the introduced modelling framework is an efficient effective tool to quantify streamflow variability and extremes in response to future climate change.

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Faculty Opinions recommendation of Human deforestation outweighs future climate change impacts of sedimentation on coral reefs.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718017288.793493740 ◽

2014 ◽

Author(s):

Helen Yap

Keyword(s):

Climate Change ◽

Coral Reefs ◽

Climate Change Impacts ◽

Future Climate ◽

Future Climate Change

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Future climate change vulnerability of endemic island mammals

Nature Communications ◽

10.1038/s41467-020-18740-x ◽

2020 ◽

Vol 11 (1) ◽

Author(s):

Camille Leclerc ◽

Franck Courchamp ◽

Céline Bellard

Keyword(s):

Climate Change ◽

Pacific Ocean ◽

Adaptive Capacity ◽

Climate Change Impacts ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Vulnerability ◽

Vulnerability To Climate Change ◽

Insular Ecosystems

Abstract Despite their high vulnerability, insular ecosystems have been largely ignored in climate change assessments, and when they are investigated, studies tend to focus on exposure to threats instead of vulnerability. The present study examines climate change vulnerability of islands, focusing on endemic mammals and by 2050 (RCPs 6.0 and 8.5), using trait-based and quantitative-vulnerability frameworks that take into account exposure, sensitivity, and adaptive capacity. Our results suggest that all islands and archipelagos show a certain level of vulnerability to future climate change, that is typically more important in Pacific Ocean ones. Among the drivers of vulnerability to climate change, exposure was rarely the main one and did not explain the pattern of vulnerability. In addition, endemic mammals with long generation lengths and high dietary specializations are predicted to be the most vulnerable to climate change. Our findings highlight the importance of exploring islands vulnerability to identify the highest climate change impacts and to avoid the extinction of unique biodiversity.

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Projecting future climate change impacts on heat-related mortality in large urban areas in China

Environmental Research ◽

10.1016/j.envres.2018.01.047 ◽

2018 ◽

Vol 163 ◽

pp. 171-185 ◽

Cited By ~ 19

Author(s):

Ying Li ◽

Ting Ren ◽

Patrick L. Kinney ◽

Andrew Joyner ◽

Wei Zhang

Keyword(s):

Climate Change ◽

Urban Areas ◽

Climate Change Impacts ◽

Future Climate ◽

Future Climate Change ◽

Related Mortality

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Projections of future climate change over Huaihe River basin by multimodel ensembles under SRES scenarios

Journal of Lake Sciences ◽

10.18307/2013.0415 ◽

2013 ◽

Vol 25 (4) ◽

pp. 565-575 ◽

Cited By ~ 2

Author(s):

WU Di ◽

◽

YAN Denghua

Keyword(s):

Climate Change ◽

River Basin ◽

Future Climate ◽

Future Climate Change ◽

Huaihe River Basin ◽

Huaihe River ◽

Multimodel Ensembles ◽

Sres Scenarios

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Future climate change impacts on residential heating and cooling degree days in Serbia

Időjárás ◽

10.28974/idojaras.2019.3.6 ◽

2019 ◽

Vol 123 (3) ◽

pp. 351-370 ◽

Cited By ~ 1

Author(s):

Aleksandar Janković ◽

Zorica Podraščanin ◽

Vladimir Djurdjevic

Keyword(s):

Climate Change ◽

Climate Change Impacts ◽

Future Climate ◽

Future Climate Change ◽

Degree Days ◽

Heating And Cooling ◽

Residential Heating ◽

Cooling Degree Days

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An evaluation of the effect of future climate on runoff in the Dongjiang River basin, South China

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-368-257-2015 ◽

2015 ◽

Vol 368 ◽

pp. 257-262

Author(s):

K. Lin ◽

W. Zhai ◽

S. Huang ◽

Z. Liu

Keyword(s):

Climate Change ◽

River Basin ◽

South China ◽

Annual Runoff ◽

Future Climate ◽

Weather Data ◽

Future Climate Change ◽

Dongjiang River ◽

The Future ◽

The Impact

Abstract. The impact of future climate change on the runoff for the Dongjiang River basin, South China, has been investigated with the Soil and Water Assessment Tool (SWAT). First, the SWAT model was applied in the three sub-basins of the Dongjiang River basin, and calibrated for the period of 1970–1975, and validated for the period of 1976–1985. Then the hydrological response under climate change and land use scenario in the next 40 years (2011–2050) was studied. The future weather data was generated by using the weather generators of SWAT, based on the trend of the observed data series (1966–2005). The results showed that under the future climate change and LUCC scenario, the annual runoff of the three sub-basins all decreased. Its impacts on annual runoff were –6.87%, –6.54%, and –18.16% for the Shuntian, Lantang, and Yuecheng sub-basins respectively, compared with the baseline period 1966–2005. The results of this study could be a reference for regional water resources management since Dongjiang River provides crucial water supplies to Guangdong Province and the District of Hong Kong in China.

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