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Tian Xian
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

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Journal article
Published: 18 August 2019 in Sustainability
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Drought risk analysis can help improve disaster management techniques, thereby reducing potential drought risk under the impacts of climate change. This study analyses observed and model-simulated spatial patterns of changes in drought risk in vulnerable eco-regions in China during 1988–2017 and 2020–2050 using an analytic hierarchy process (AHP) method. To perform a risk assessment and estimation of a drought disaster, three subsystems—namely hazard, vulnerability and exposure—are assessed in terms of the effects of climate change since the middle of the 21st century: (i) Hazards, represented by climate anomalies related to the drought process, such as changes in rainfall averages, temperature averages and evaporation averages; (ii) vulnerability, encompassing land use and mutual transposition between them; (iii) exposure, consisting of socioeconomic, demographic, and farming. The results demonstrated that high hazards continue to be located in the arid zone, high vulnerability levels occur in the Junggar Basin and Inner Mongolia Plateau, and high exposure levels occur Loess Plateau and southern coastal area. In this way, the results provide exhaustive measures for proactive drought risk management and mitigation strategies.

ACS Style

Jieming Chou; Tian Xian; Runze Zhao; Yuan Xu; Fan Yang; Mingyang Sun. Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change. Sustainability 2019, 11, 4463 .

AMA Style

Jieming Chou, Tian Xian, Runze Zhao, Yuan Xu, Fan Yang, Mingyang Sun. Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change. Sustainability. 2019; 11 (16):4463.

Chicago/Turabian Style

Jieming Chou; Tian Xian; Runze Zhao; Yuan Xu; Fan Yang; Mingyang Sun. 2019. "Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change." Sustainability 11, no. 16: 4463.

Journal article
Published: 21 December 2018 in Sustainability
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Understanding the temporal and spatial distribution in disasters plays an important role in disaster risk management. The present study aims to explore the long-term trends in drought and floods over China and estimate the economic losses they cause. A peak-over-threshold approach is used to identify flood peaks, and the relationship between the disasters and climate indices is investigated using Poisson regression. The major results are as follows: (1) the northeastern part of China was severely affected by drought disasters (average damaged area was 6.44 million hectares); (2) the northern part of East China and Central China upstream of the Yangtze River were severely affected by flood disasters (average damaged area was 3.97 million hectares); (3) in the Yangtze River Basin, there are increasing trends in terms of drought and extreme precipitation, especially upstream of the Yangtze River, accompanied by severe disaster losses; and (4) by combining the trends in drought and extreme precipitation days with the spatial distribution of damaged areas, the study indicates that the increasing trend in droughts has shifted gradually from north to south, and the increasing trend in extreme precipitation gradually has shifted from south to north.

ACS Style

Jieming Chou; Tian Xian; Wenjie Dong; Yuan Xu. Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years. Sustainability 2018, 11, 55 .

AMA Style

Jieming Chou, Tian Xian, Wenjie Dong, Yuan Xu. Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years. Sustainability. 2018; 11 (1):55.

Chicago/Turabian Style

Jieming Chou; Tian Xian; Wenjie Dong; Yuan Xu. 2018. "Regional Temporal and Spatial Trends in Drought and Flood Disasters in China and Assessment of Economic Losses in Recent Years." Sustainability 11, no. 1: 55.