LEADER 03295nam 2200805z- 450 001 9910557738803321 005 20210501 035 $a(CKB)5400000000045955 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68268 035 $a(oapen)doab68268 035 $a(EXLCZ)995400000000045955 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aThe Drought Risk Analysis, Forecasting, and Assessment under Climate Change 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (168 p.) 311 08$a3-03936-806-0 311 08$a3-03936-807-9 330 $aThis 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. 606 $aHistory of engineering and technology$2bicssc 610 $aARIMA model 610 $aartificial neural network 610 $aassessment 610 $aatmospheric teleconnection patterns 610 $abivariate frequency analysis 610 $aChina 610 $aclimate change 610 $aclimate variability 610 $acomprehensive drought monitoring 610 $adrought 610 $adrought forecasting 610 $adrought prediction 610 $adrought return period 610 $adrought risk 610 $aextreme drought 610 $aextreme spring drought 610 $aforecasting 610 $aGAMLSS 610 $aglobal warming 610 $aHubei Province 610 $ahuman activities 610 $ahydrologic risk 610 $aIndian Ocean Dipole 610 $aIndochina Peninsula 610 $aintentionally biased bootstrap method 610 $amaize yield 610 $ameteorological drought 610 $amultisource data 610 $amultivariate 610 $anonstationarity 610 $aquantitative attribution 610 $areference period 610 $areference precipitation 610 $aseasonal drought 610 $aSongliao Plain maize belt 610 $asouthern Taiwan 610 $aSPI 610 $astandardized precipitation evapotranspiration index 610 $astochastic model 615 7$aHistory of engineering and technology 700 $aKim$b Tae-Woong$4edt$01329481 702 $aKim$b Tae-Woong$4oth 906 $aBOOK 912 $a9910557738803321 996 $aThe Drought Risk Analysis, Forecasting, and Assessment under Climate Change$93039498 997 $aUNINA LEADER 00984nam0 22002651i 450 001 UON00133083 005 20231205102804.691 100 $a20020107d1966 |0itac50 ba 101 $aben 102 $aIN 105 $a|||| 1|||| 200 1 $aSujata$fSubodh Ghosh 210 $aKalikata$cKyalakata Pablisharsa$d1966 215 $a144 p.$d23 cm 606 $aLetteratura bengali$xNarrativa$3UONC030997$2FI 620 $aIN$dCalcutta$3UONL000111 686 $aSI VI ECX$cSUBCONT. INDIANO - LETTERATURA BENGALI - PERIODO MODERNO - TESTI$2A 700 1$aGHOSH$bSubodh$3UONV081438$0669214 712 $aKyalakata Pablisharsa$3UONV263024$4650 801 $aIT$bSOL$c20251024$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00133083 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI SI VI ECX 921 $eSI SA 63789 5 921 996 $aSujata$91313492 997 $aUNIOR