LEADER 00767nam0-22003011i-450- 001 990007169820403321 005 20021010 035 $a000716982 035 $aFED01000716982 035 $a(Aleph)000716982FED01 035 $a000716982 100 $a20021010d--------km-y0itay50------ba 101 0 $aita 200 1 $aAutoipnosi$fRoger Bernhardt, David Martin. 210 $aMilano$cSIAD$d1982. 215 $a214 p.$d20 cm 225 1 $aCollana Starmeglio 676 $a154.7 700 1$aBernhardt,$bRoger$0263140 702 1$aMartin,$bDavid 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007169820403321 952 $aPSI-55$b331 ECONOMATO.$fDDRC 959 $aDDRC 996 $aAutoipnosi$9690226 997 $aUNINA DB $aGEN01 LEADER 03844nam 2200817z- 450 001 9910557632303321 005 20220111 035 $a(CKB)5400000000045091 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76383 035 $a(oapen)doab76383 035 $a(EXLCZ)995400000000045091 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSoil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (172 p.) 311 08$a3-0365-0820-1 311 08$a3-0365-0821-X 330 $aProbably, the most well-documented, and at the same time, simple conceptual method for predicting runoff depth from rainfall depth is the Soil Conservation Service curve number (SCS-CN) method. This Special Issue presents the latest developments in the SCS-CN methodology, including, but not limited to, novel applications, theoretical and conceptual studies broadening the current understanding, studies extending the method's application in other geographical regions or other scientific fields, substantial evaluation studies, and ultimately, key advancements towards addressing the key remaining challenges, such as: improving the SCS-CN method runoff predictions without sacrificing its current level of simplicity; moving towards a unique generally accepted procedure for CN determination from rainfall-runoff data; improving the initial abstraction estimation; investigating the integration of SCS-CN method in long-term continuous hydrological models and the implementation of various soil moisture accounting systems; extending and adopting the existing CNs documentation in a broader range of regions, land uses and climatic conditions; and utilizing novel modeling, geoinformation systems, and remote sensing techniques to improve the performance and the efficiency of the method. 517 $aSoil Conservation Service Curve Number 606 $aResearch & information: general$2bicssc 610 $aantecedent moisture condition 610 $abootstrap 610 $acurve number 610 $aCurve Number 610 $adesign hydrograph 610 $adirect runoff 610 $aearth observation 610 $aEBA4SUB 610 $aHEC-HMS 610 $ainitial abstraction 610 $ainitial abstraction coefficient 610 $ainitial abstraction ratio 610 $aJeju Island 610 $aLUCC 610 $amaximum potential retention 610 $amodel accuracy 610 $amountainous catchments 610 $an/a 610 $aNRCS-CN 610 $aprecise runoff 610 $arainfall 610 $arainfall-runoff model 610 $arainfall-runoff modelling 610 $arainfall-runoff models 610 $arunoff 610 $arunoff prediction 610 $aSCS 610 $aSCS-CN 610 $aSCS-CN method 610 $aSCS-CN method 610 $aslope 610 $aslope-adjusted curve number 610 $asmall catchment 610 $aSoil Conservation Service Curve Number method 610 $asoil moisture 610 $astorm duration 610 $aungauged catchments 610 $aurbanization 610 $awildfire 615 7$aResearch & information: general 700 $aSoulis$b Konstantinos X$4edt$01278958 702 $aSoulis$b Konstantinos X$4oth 906 $aBOOK 912 $a9910557632303321 996 $aSoil Conservation Service Curve Number (SCS-CN) Method Current Applications, Remaining Challenges, and Future Perspectives$93014289 997 $aUNINA