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Drought disaster risk management based on optimal allocation of water resources
by
Tan, Qian
, Huang, Yan
, Wang, Youzhi
, Guo, Ping
, Liu, Xiao
, Zhang, Fan
in
Allocation
/ Crop yield
/ Disaster management
/ Disaster risk
/ Disasters
/ Drought
/ Drought effects
/ Drought index
/ Economic impact
/ Economics
/ Emergency preparedness
/ Environmental risk
/ Evaluation
/ Farmers
/ Food security
/ Grain
/ Indexes
/ Information management
/ Mitigation
/ Moisture
/ Moisture content
/ Natural disasters
/ Optimization
/ Precipitation anomalies
/ Probability
/ Probability theory
/ Prone
/ Regional development
/ Regions
/ Resource allocation
/ Risk assessment
/ Risk management
/ Risk reduction
/ Soil moisture
/ Soil moisture content
/ Stochastic methods
/ Vulnerability
/ Water
/ Water content
/ Water resources
/ Water resources management
/ Water supply
2021
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Drought disaster risk management based on optimal allocation of water resources
by
Tan, Qian
, Huang, Yan
, Wang, Youzhi
, Guo, Ping
, Liu, Xiao
, Zhang, Fan
in
Allocation
/ Crop yield
/ Disaster management
/ Disaster risk
/ Disasters
/ Drought
/ Drought effects
/ Drought index
/ Economic impact
/ Economics
/ Emergency preparedness
/ Environmental risk
/ Evaluation
/ Farmers
/ Food security
/ Grain
/ Indexes
/ Information management
/ Mitigation
/ Moisture
/ Moisture content
/ Natural disasters
/ Optimization
/ Precipitation anomalies
/ Probability
/ Probability theory
/ Prone
/ Regional development
/ Regions
/ Resource allocation
/ Risk assessment
/ Risk management
/ Risk reduction
/ Soil moisture
/ Soil moisture content
/ Stochastic methods
/ Vulnerability
/ Water
/ Water content
/ Water resources
/ Water resources management
/ Water supply
2021
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Do you wish to request the book?
Drought disaster risk management based on optimal allocation of water resources
by
Tan, Qian
, Huang, Yan
, Wang, Youzhi
, Guo, Ping
, Liu, Xiao
, Zhang, Fan
in
Allocation
/ Crop yield
/ Disaster management
/ Disaster risk
/ Disasters
/ Drought
/ Drought effects
/ Drought index
/ Economic impact
/ Economics
/ Emergency preparedness
/ Environmental risk
/ Evaluation
/ Farmers
/ Food security
/ Grain
/ Indexes
/ Information management
/ Mitigation
/ Moisture
/ Moisture content
/ Natural disasters
/ Optimization
/ Precipitation anomalies
/ Probability
/ Probability theory
/ Prone
/ Regional development
/ Regions
/ Resource allocation
/ Risk assessment
/ Risk management
/ Risk reduction
/ Soil moisture
/ Soil moisture content
/ Stochastic methods
/ Vulnerability
/ Water
/ Water content
/ Water resources
/ Water resources management
/ Water supply
2021
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Drought disaster risk management based on optimal allocation of water resources
Journal Article
Drought disaster risk management based on optimal allocation of water resources
2021
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Overview
Drought risk management has gradually emerged as an important discipline and the traditional negative drought management changes to active drought management. Drought risk assessment and control are the core of drought risk management. In this study, based on precipitation anomaly (Pa) and soil moisture content anomaly index, the stochastic drought index model was established to calculate the drought distribution under different probability. Considering risk of disaster (H), vulnerability of the environment (S), exposure of the disaster bearing body (V), and disaster prevention and mitigation capability (C), a water resource optimization allocation model based on drought disaster risk assessment model was established to minimize the regional drought disaster risk. The developed models were used in Heilongjiang Province, China, and the results showed that: (1) the drought indexes based on the stochastic method can reflect the regional drought under different probabilities, providing managers with comprehensive drought information to manage the disaster; (2) the optimal allocation of water resources can reduce the risk of drought disaster in drought-prone months and drought-prone areas; and (3) studying drought risk assessment and regulation considering grain yield can be used to effectively understand and alleviate drought effects in the study area, reduce farmers' economic losses and ensure local food security.Graphic abstract
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