Climate Modeling, Drought Risk Assessment and Adaptation Strategies in the Western Part of Bangladesh

2021 ◽  
pp. 21-54
Author(s):  
Md. Kamruzzaman ◽  
Tapash Mandal ◽  
A. T. M. Sakiur Rahman ◽  
Md. Abdul Khalek ◽  
G. M. Monirul Alam ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Climate Modeling ◽  
Adaptation Strategies ◽  
Drought Risk

scholarly journals Copula-Based Stochastic Simulation for Regional Drought Risk Assessment in South Korea

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 359 ◽  
Author(s):  
Muhammad Azam ◽  
Seung Maeng ◽  
Hyung Kim ◽  
Ardasher Murtazaev
Keyword(s):  
Risk Assessment ◽  
South Korea ◽  
Stochastic Simulation ◽  
Drought Risk ◽  
Regional Drought

Hydro-meteorological drought risk assessment using linear and nonlinear multivariate methods

2021 ◽  
pp. 103046
Author(s):  
Zahra Azhdari ◽  
Ommolbanin Bazrafshan ◽  
Hossein Zamani ◽  
Marzieh Shekari ◽  
Vijay P. Singh
Keyword(s):  
Risk Assessment ◽  
Meteorological Drought ◽  
Drought Risk ◽  
Multivariate Methods ◽  
Linear And Nonlinear

scholarly journals Coastal and river flood risk analyses for guiding economically optimal flood adaptation policies: a country-scale study for Mexico

2018 ◽  
Vol 376 (2121) ◽  
pp. 20170329 ◽  
Author(s):  
Toon Haer ◽  
W. J. Wouter Botzen ◽  
Vincent van Roomen ◽  
Harry Connor ◽  
Jorge Zavala-Hidalgo ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Flood Risk ◽  
Cost Benefit ◽  
Economic Benefits ◽  
Adaptation Strategies ◽  
Policy Implications ◽  
Flood Protection ◽  
Local Data ◽  
Flood Adaptation

Many countries around the world face increasing impacts from flooding due to socio-economic development in flood-prone areas, which may be enhanced in intensity and frequency as a result of climate change. With increasing flood risk, it is becoming more important to be able to assess the costs and benefits of adaptation strategies. To guide the design of such strategies, policy makers need tools to prioritize where adaptation is needed and how much adaptation funds are required. In this country-scale study, we show how flood risk analyses can be used in cost–benefit analyses to prioritize investments in flood adaptation strategies in Mexico under future climate scenarios. Moreover, given the often limited availability of detailed local data for such analyses, we show how state-of-the-art global data and flood risk assessment models can be applied for a detailed assessment of optimal flood-protection strategies. Our results show that especially states along the Gulf of Mexico have considerable economic benefits from investments in adaptation that limit risks from both river and coastal floods, and that increased flood-protection standards are economically beneficial for many Mexican states. We discuss the sensitivity of our results to modelling uncertainties, the transferability of our modelling approach and policy implications. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’.

scholarly journals Drought risk assessment in China: Evaluation framework and influencing factors

2020 ◽  
Vol 1 (3) ◽  
pp. 220-228
Author(s):  
Jiaqi Zhao ◽  
Qiang Zhang ◽  
Xiudi Zhu ◽  
Zexi Shen ◽  
Huiqian Yu
Keyword(s):  
Risk Assessment ◽  
Influencing Factors ◽  
Evaluation Framework ◽  
Drought Risk

scholarly journals Drought Risk Assessment based on PDSI in the Daqinghe Watershed, North China

2018 ◽  
Vol 246 ◽  
pp. 02043
Author(s):  
Shaohua Liu ◽  
Huiyong Huang ◽  
Gang Hu ◽  
Hui Wan ◽  
Yongyan Wu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Economic Development ◽  
Gross Domestic Product ◽  
Natural Disaster ◽  
North China ◽  
Drought Risk ◽  
Cropland Area ◽  
Plain Area ◽  
Drought Hazard ◽  
Socio Economic Development

Drought is a worldwide natural disaster and has become an obstacle to the socio-economic development of the Daqinghe watershed in North China, the drought risk of which is analyzed in this study. PDSI is established and validated by the SPI, SRI, SMI, and agriculture drought-affect area in Baoding, a city in Daqinghe watershed. The result shows that PDSI performs well in describing the drought evolution, especially in the monthly scale. Then, the drought risk is assessed combining the drought hazard derived from PDSI with the exposed vulnerabilities consisting of the population, Gross Domestic Product (GDP), cropland area, and vegetation area. It indicates that the subwatersheds with high drought risk mainly concentrate in the downstream plain area.

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