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The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
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This Special Issue is a platform to fill the gaps in drought risk analysis with field experience and expertise. It covers (1) robust index development for effective drought monitoring; (2) risk analysis framework development and early warning systems; (3) impact investigations on hydrological and agricultural sectors; (4) environmental change impact analyses. The articles in the Special Issue cover a wide geographic range, across China, Taiwan, Korea, and the Indo-China peninsula, which covers many contrasting climate conditions. Hence, the results have global implications: the data, analysis/modeling, methodologies, and conclusions lay a solid foundation for enhancing our scientific knowledge of drought mechanisms and relationships to various environmental conditions.
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Keywords
- ARIMA model
- artificial neural network
- assessment
- atmospheric teleconnection patterns
- bivariate frequency analysis
- China
- Climate Change
- climate variability
- comprehensive drought monitoring
- drought
- drought forecasting
- drought prediction
- drought return period
- drought risk
- extreme drought
- extreme spring drought
- Forecasting
- GAMLSS
- Global warming
- History of engineering & technology
- Hubei Province
- human activities
- hydrologic risk
- Indian Ocean Dipole
- Indochina Peninsula
- intentionally biased bootstrap method
- maize yield
- meteorological drought
- multisource data
- multivariate
- nonstationarity
- quantitative attribution
- reference period
- reference precipitation
- seasonal drought
- Songliao Plain maize belt
- southern Taiwan
- SPI
- standardized precipitation evapotranspiration index
- stochastic model
- Technology, engineering, agriculture
- Technology: general issues
Links
DOI: 10.3390/books978-3-03936-807-5Editions