scholarly journals Possible Future Climate Change Impacts on the Hydrological Drought Events in the Weihe River Basin, China

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Fei Yuan ◽  
Mingwei Ma ◽  
Liliang Ren ◽  
Hongren Shen ◽  
Yue Li ◽  
...  

Quantitative evaluation of future climate change impacts on hydrological drought characteristics is one of important measures for implementing sustainable water resources management and effective disaster mitigation in drought-prone regions under the changing environment. In this study, a modeling system for projecting the potential future climate change impacts on hydrological droughts in the Weihe River basin (WRB) in North China is presented. This system consists of a large-scale hydrological model driven by climate outputs from three climate models (CMs) for future streamflow projections, a probabilistic model for univariate drought assessment, and a copula-based bivariate model for joint drought frequency analysis under historical and future climates. With the observed historical climate data as the inputs, the Variable Infiltration Capacity hydrological model projects an overall runoff reduction in the WRB under the Intergovernmental Panel on Climate Change A1B scenario. The univariate drought assessment found that although fewer hydrological drought events would occur under A1B scenario, drought duration and severity tend to increase remarkably. Moreover, the bivariate drought assessment reveals that future droughts in the same return period as the baseline droughts would become more serious. With these trends in the future, the hydrological drought situation in the WRB would be further deteriorated.

Author(s):  
F. Yuan ◽  
Y. Y. San ◽  
Y. Li ◽  
M. Ma ◽  
L. Ren ◽  
...  

Abstract. In this study, a framework to project the potential future climate change impacts on extreme hydrological drought events in the Weihe River basin in North China is presented. This framework includes a large-scale hydrological model driven by climate outputs from a regional climate model for historical streamflow simulations and future streamflow projections, and models for univariate drought assessment and copula-based bivariate drought analysis. It is projected by the univariate drought analysis that future climate change would lead to increased frequencies of extreme hydrological drought events with higher severity. The bivariate drought assessment using copula shows that future droughts in the same return periods as historical droughts would be potentially longer and more severe, in terms of drought duration and severity. This trend would deteriorate the hydrological drought situation in the Weihe River basin. In addition, the uncertainties associated with climate models, hydrological models, and univariate and bivariate drought analysis should be quantified in the future research to improve the reliability of this study.


Author(s):  
Pedram Mahdavi ◽  
Hossein Ghorbanizadeh Kharazi ◽  
Hossein Eslami ◽  
Narges Zohrabi ◽  
Majid Razaz

Abstract Global warming affected by human activities causes changes in the regime of rivers. Rivers are one of the most vital sources that supply fresh water. Therefore, management, planning, and proper use of rivers will be crucial for future climate change conditions. This study investigated the monitoring of hydrological drought in a future period to examine the impact of climate change on the discharging flow of the Zard River basin in Iran. Zard River is an important supplier of fresh and agricultural water in a vast area of Khuzestan province in Iran. A continuous rainfall-runoff model based on Soil Moisture Accounting (SMA) algorithm was applied to simulate the discharge flow under 10 scenarios (obtained from LARS-WG.6 software) of future climate change. Then, the Stream-flow Drought Index (SDI) and the Standard Precipitation Index (SPI) were calculated for each climate change scenario for the future period (2041–2060). The results of the meteorological drought assessment showed that near normal and moderate droughts had higher proportions among other drought conditions. Moreover, the hydrological drought assessment showed the occurrence of two new droughts (severe and extreme) conditions for the future period (2041–2060) that has never happened in the past (1997–2016).


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Camille Leclerc ◽  
Franck Courchamp ◽  
Céline Bellard

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.


2018 ◽  
Vol 163 ◽  
pp. 171-185 ◽  
Author(s):  
Ying Li ◽  
Ting Ren ◽  
Patrick L. Kinney ◽  
Andrew Joyner ◽  
Wei Zhang

Időjárás ◽  
2019 ◽  
Vol 123 (3) ◽  
pp. 351-370 ◽  
Author(s):  
Aleksandar Janković ◽  
Zorica Podraščanin ◽  
Vladimir Djurdjevic

2014 ◽  
Vol 9 (10) ◽  
pp. 104006 ◽  
Author(s):  
B Sultan ◽  
K Guan ◽  
M Kouressy ◽  
M Biasutti ◽  
C Piani ◽  
...  

2016 ◽  
Vol 164 ◽  
pp. 317-330 ◽  
Author(s):  
Pradip Adhikari ◽  
Srinivasulu Ale ◽  
James P. Bordovsky ◽  
Kelly R. Thorp ◽  
Naga R. Modala ◽  
...  

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 523 ◽  
Author(s):  
Thi Nguyen ◽  
Laura Mula ◽  
Raffaele Cortignani ◽  
Giovanna Seddaiu ◽  
Gabriele Dono ◽  
...  

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