The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
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 ag...
Zapisane w:
| Format: | Online |
|---|---|
| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20210501_9783039368068_11 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|
| _version_ | 1869528080075194368 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-68268 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-682682024-04-11T15:10:32Z The Drought Risk Analysis, Forecasting, and Assessment under Climate Change Kim, Tae-Woong 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-05-01T15:05:48Z 2021-05-01T15:05:48Z 2021 book ONIX_20210501_9783039368068_11 9783039368068 9783039368075 https://directory.doabooks.org/handle/20.500.12854/68268 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3265 https://mdpi.com/books/pdfview/book/3265 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03936-807-5 10.3390/books978-3-03936-807-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039368068 9783039368075 168 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title_full | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title_fullStr | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title_full_unstemmed | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title_short | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| title_sort | drought risk analysis forecasting and assessment under climate change |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039368068_11 |