Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366827682> ?p ?o ?g. }
- W4366827682 endingPage "1650" @default.
- W4366827682 startingPage "1650" @default.
- W4366827682 abstract "Snowmelt is an important source of stream flows in mountainous areas. This study investigated the impact of snowmelt on flooding. First, the study area was divided into four zones based on elevation. Second, the Snow-Covered Area (SCA) from 2013 to 2018 was estimated from daily MODIS images with the help of Google Earth Engine. Runoff in the area was then simulated using the Snowmelt Runoff Model (SRM). As a result, short periods with high runoff and the possibility of floods were identified, while the contribution of snowmelt and rainfall in the total runoff was separated. The results showed that while the snowmelt on average accounted for only 23% of total runoff in the zone with elevation under 2000 m, the ratio increased with elevation, ultimately reaching as high as 87% in the zone with elevation above 3000 m. As the height increases, the effect of snow on runoff and flooding increases so much that it should not be ignored. However, in most hydrological studies, the effect of snow is ignored due to the lack of sufficient data about snow. This study showed that snow can be very effective, especially in high areas." @default.
- W4366827682 created "2023-04-25" @default.
- W4366827682 creator A5032953588 @default.
- W4366827682 creator A5065847577 @default.
- W4366827682 creator A5067827618 @default.
- W4366827682 date "2023-04-23" @default.
- W4366827682 modified "2023-10-09" @default.
- W4366827682 title "Evaluation of Snowmelt Impacts on Flood Flows Based on Remote Sensing Using SRM Model" @default.
- W4366827682 cites W127179581 @default.
- W4366827682 cites W1555878418 @default.
- W4366827682 cites W1971841374 @default.
- W4366827682 cites W1980859018 @default.
- W4366827682 cites W1997160331 @default.
- W4366827682 cites W2016128512 @default.
- W4366827682 cites W2036160560 @default.
- W4366827682 cites W2063544218 @default.
- W4366827682 cites W2064860806 @default.
- W4366827682 cites W2089529804 @default.
- W4366827682 cites W2096842752 @default.
- W4366827682 cites W2105397853 @default.
- W4366827682 cites W2119022186 @default.
- W4366827682 cites W2125368795 @default.
- W4366827682 cites W2137766923 @default.
- W4366827682 cites W2142800341 @default.
- W4366827682 cites W2146952331 @default.
- W4366827682 cites W2322683298 @default.
- W4366827682 cites W2604199742 @default.
- W4366827682 cites W2791152274 @default.
- W4366827682 cites W2797297459 @default.
- W4366827682 cites W2885109349 @default.
- W4366827682 cites W2921701549 @default.
- W4366827682 cites W2944923712 @default.
- W4366827682 cites W2948850202 @default.
- W4366827682 cites W2969288979 @default.
- W4366827682 cites W2999393737 @default.
- W4366827682 cites W3010829258 @default.
- W4366827682 cites W3017279964 @default.
- W4366827682 cites W3041308299 @default.
- W4366827682 cites W3081650901 @default.
- W4366827682 cites W3156764401 @default.
- W4366827682 cites W3216664741 @default.
- W4366827682 cites W4220962207 @default.
- W4366827682 cites W4280500917 @default.
- W4366827682 cites W4293103392 @default.
- W4366827682 cites W4296051910 @default.
- W4366827682 cites W4306155953 @default.
- W4366827682 cites W4308846880 @default.
- W4366827682 cites W4310490761 @default.
- W4366827682 doi "https://doi.org/10.3390/w15091650" @default.
- W4366827682 hasPublicationYear "2023" @default.
- W4366827682 type Work @default.
- W4366827682 citedByCount "2" @default.
- W4366827682 countsByYear W43668276822023 @default.
- W4366827682 crossrefType "journal-article" @default.
- W4366827682 hasAuthorship W4366827682A5032953588 @default.
- W4366827682 hasAuthorship W4366827682A5065847577 @default.
- W4366827682 hasAuthorship W4366827682A5067827618 @default.
- W4366827682 hasBestOaLocation W43668276821 @default.
- W4366827682 hasConcept C127313418 @default.
- W4366827682 hasConcept C153294291 @default.
- W4366827682 hasConcept C15744967 @default.
- W4366827682 hasConcept C166957645 @default.
- W4366827682 hasConcept C186594467 @default.
- W4366827682 hasConcept C187320778 @default.
- W4366827682 hasConcept C18903297 @default.
- W4366827682 hasConcept C197046000 @default.
- W4366827682 hasConcept C205649164 @default.
- W4366827682 hasConcept C24749216 @default.
- W4366827682 hasConcept C2524010 @default.
- W4366827682 hasConcept C33923547 @default.
- W4366827682 hasConcept C37054046 @default.
- W4366827682 hasConcept C39432304 @default.
- W4366827682 hasConcept C50477045 @default.
- W4366827682 hasConcept C542102704 @default.
- W4366827682 hasConcept C64649846 @default.
- W4366827682 hasConcept C74256435 @default.
- W4366827682 hasConcept C76886044 @default.
- W4366827682 hasConcept C86803240 @default.
- W4366827682 hasConceptScore W4366827682C127313418 @default.
- W4366827682 hasConceptScore W4366827682C153294291 @default.
- W4366827682 hasConceptScore W4366827682C15744967 @default.
- W4366827682 hasConceptScore W4366827682C166957645 @default.
- W4366827682 hasConceptScore W4366827682C186594467 @default.
- W4366827682 hasConceptScore W4366827682C187320778 @default.
- W4366827682 hasConceptScore W4366827682C18903297 @default.
- W4366827682 hasConceptScore W4366827682C197046000 @default.
- W4366827682 hasConceptScore W4366827682C205649164 @default.
- W4366827682 hasConceptScore W4366827682C24749216 @default.
- W4366827682 hasConceptScore W4366827682C2524010 @default.
- W4366827682 hasConceptScore W4366827682C33923547 @default.
- W4366827682 hasConceptScore W4366827682C37054046 @default.
- W4366827682 hasConceptScore W4366827682C39432304 @default.
- W4366827682 hasConceptScore W4366827682C50477045 @default.
- W4366827682 hasConceptScore W4366827682C542102704 @default.
- W4366827682 hasConceptScore W4366827682C64649846 @default.
- W4366827682 hasConceptScore W4366827682C74256435 @default.
- W4366827682 hasConceptScore W4366827682C76886044 @default.
- W4366827682 hasConceptScore W4366827682C86803240 @default.