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The Drought Risk Analysis, Forecasting, and Assessment under Climate Change



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Autore: Kim Tae-Woong Visualizza persona
Titolo: The Drought Risk Analysis, Forecasting, and Assessment under Climate Change Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica: 1 electronic resource (168 p.)
Soggetto topico: History of engineering & technology
Soggetto non controllato: extreme spring drought
atmospheric teleconnection patterns
drought prediction
China
SPI
reference precipitation
reference period
climate change
drought
GAMLSS
nonstationarity
meteorological drought
standardized precipitation evapotranspiration index
climate variability
seasonal drought
drought return period
extreme drought
Indochina Peninsula
Indian Ocean Dipole
intentionally biased bootstrap method
drought risk
human activities
quantitative attribution
artificial neural network
stochastic model
ARIMA model
drought forecasting
southern Taiwan
bivariate frequency analysis
hydrologic risk
global warming
maize yield
Songliao Plain maize belt
comprehensive drought monitoring
Hubei Province
multivariate
multisource data
assessment
forecasting
Persona (resp. second.): KimTae-Woong
Sommario/riassunto: 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.
Titolo autorizzato: The Drought Risk Analysis, Forecasting, and Assessment under Climate Change  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557738803321
Lo trovi qui: Univ. Federico II
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