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dc.contributor.editorKim, Tae-Woong
dc.date.accessioned2021-05-01T15:05:48Z
dc.date.available2021-05-01T15:05:48Z
dc.date.issued2021
dc.identifierONIX_20210501_9783039368068_11
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/68268
dc.description.abstractThis 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.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherextreme spring drought
dc.subject.otheratmospheric teleconnection patterns
dc.subject.otherdrought prediction
dc.subject.otherChina
dc.subject.otherSPI
dc.subject.otherreference precipitation
dc.subject.otherreference period
dc.subject.otherclimate change
dc.subject.otherdrought
dc.subject.otherGAMLSS
dc.subject.othernonstationarity
dc.subject.othermeteorological drought
dc.subject.otherstandardized precipitation evapotranspiration index
dc.subject.otherclimate variability
dc.subject.otherseasonal drought
dc.subject.otherdrought return period
dc.subject.otherextreme drought
dc.subject.otherIndochina Peninsula
dc.subject.otherIndian Ocean Dipole
dc.subject.otherintentionally biased bootstrap method
dc.subject.otherdrought risk
dc.subject.otherhuman activities
dc.subject.otherquantitative attribution
dc.subject.otherartificial neural network
dc.subject.otherstochastic model
dc.subject.otherARIMA model
dc.subject.otherdrought forecasting
dc.subject.othersouthern Taiwan
dc.subject.otherbivariate frequency analysis
dc.subject.otherhydrologic risk
dc.subject.otherglobal warming
dc.subject.othermaize yield
dc.subject.otherSongliao Plain maize belt
dc.subject.othercomprehensive drought monitoring
dc.subject.otherHubei Province
dc.subject.othermultivariate
dc.subject.othermultisource data
dc.subject.otherassessment
dc.subject.otherforecasting
dc.titleThe Drought Risk Analysis, Forecasting, and Assessment under Climate Change
dc.typebook
oapen.identifier.doi10.3390/books978-3-03936-807-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783039368068
oapen.relation.isbn9783039368075
oapen.pages168
oapen.place.publicationBasel, Switzerland


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