The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
| dc.contributor.editor | Kim, Tae-Woong | |
| dc.date.accessioned | 2021-05-01T15:05:48Z | |
| dc.date.available | 2021-05-01T15:05:48Z | |
| dc.date.issued | 2021 | |
| dc.identifier | ONIX_20210501_9783039368068_11 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/68268 | |
| dc.description.abstract | 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. | |
| dc.language | English | |
| dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology | en_US |
| dc.subject.other | extreme spring drought | |
| dc.subject.other | atmospheric teleconnection patterns | |
| dc.subject.other | drought prediction | |
| dc.subject.other | China | |
| dc.subject.other | SPI | |
| dc.subject.other | reference precipitation | |
| dc.subject.other | reference period | |
| dc.subject.other | climate change | |
| dc.subject.other | drought | |
| dc.subject.other | GAMLSS | |
| dc.subject.other | nonstationarity | |
| dc.subject.other | meteorological drought | |
| dc.subject.other | standardized precipitation evapotranspiration index | |
| dc.subject.other | climate variability | |
| dc.subject.other | seasonal drought | |
| dc.subject.other | drought return period | |
| dc.subject.other | extreme drought | |
| dc.subject.other | Indochina Peninsula | |
| dc.subject.other | Indian Ocean Dipole | |
| dc.subject.other | intentionally biased bootstrap method | |
| dc.subject.other | drought risk | |
| dc.subject.other | human activities | |
| dc.subject.other | quantitative attribution | |
| dc.subject.other | artificial neural network | |
| dc.subject.other | stochastic model | |
| dc.subject.other | ARIMA model | |
| dc.subject.other | drought forecasting | |
| dc.subject.other | southern Taiwan | |
| dc.subject.other | bivariate frequency analysis | |
| dc.subject.other | hydrologic risk | |
| dc.subject.other | global warming | |
| dc.subject.other | maize yield | |
| dc.subject.other | Songliao Plain maize belt | |
| dc.subject.other | comprehensive drought monitoring | |
| dc.subject.other | Hubei Province | |
| dc.subject.other | multivariate | |
| dc.subject.other | multisource data | |
| dc.subject.other | assessment | |
| dc.subject.other | forecasting | |
| dc.title | The Drought Risk Analysis, Forecasting, and Assessment under Climate Change | |
| dc.type | book | |
| oapen.identifier.doi | 10.3390/books978-3-03936-807-5 | |
| oapen.relation.isPublishedBy | 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 | |
| oapen.relation.isbn | 9783039368068 | |
| oapen.relation.isbn | 9783039368075 | |
| oapen.pages | 168 | |
| oapen.place.publication | Basel, Switzerland |
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