The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
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| Autore: |
Kim Tae-Woong
|
| Titolo: |
The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
|
| Pubblicazione: | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica: | 1 online resource (168 p.) |
| Soggetto topico: | History of engineering and technology |
| Soggetto non controllato: | 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 | |
| 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 | |
| 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 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910557738803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |