Matches in SemOpenAlex for { <https://semopenalex.org/work/W4246172389> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4246172389 abstract "Following results by Crow et al. (2017) [Geophys. Res. Lett. 44, 5495-5503] on the impact of antecedent soil moisture on runoff production, we investigate total runoff production during individual rainfall-runoff events in agricultural landscapes as a function of antecedent soil moisture, total rainfall, and vegetation cover for catchments with drainage areas ranging from 80-1000 km2 in the state of Iowa, USA. For our study, we use Enhanced SMAP soil moisture estimates, the MODIS enhanced vegetation index (EVI), gauge-corrected Stage IV radar rainfall, and USGS streamflow data. We analyze the event runoff ratio as a function of event-scale rainfall, antecedent SMAP soil moisture and soil-moisture-deficit-normalized rainfall for the events in a period from March 31, 2015 to October 31, 2018. Our goal is to confirm the relationships identified by Crow et al. (2017) in heavily managed agricultural landscapes and to refine some of their methodological steps to quantify the role of additional variables controlling runoff production. To this end, we define three different strategies to identify rainfall-runoff events and add a baseflow separation step to better insulate event scale stormflow runoff. We test the effects of antecedent soil moisture, rainfall, and vegetation on the event-scale runoff ratio. The antecedent SMAP soil moisture and event-scale rainfall are found to have significant predictive power in estimating event runoff ratio. Soil moisture deficit-normalized rainfall, introduced as the ratio of event-scale rainfall to available space in top soil before initiation of the event, exhibited a more distinct relationship with runoff ratio. The long-term analysis of runoff ratio, rainfall, and MODIS EVI indicated that, in an agricultural region, vegetation plays a significant role in determining event-scale runoff ratios. The methodology and outcome of our study have direct implications on real-time flood forecasting and long-term hydrologic assessments." @default.
- W4246172389 created "2022-05-12" @default.
- W4246172389 creator A5039523301 @default.
- W4246172389 creator A5043937417 @default.
- W4246172389 creator A5067390567 @default.
- W4246172389 creator A5091834031 @default.
- W4246172389 date "2019-10-15" @default.
- W4246172389 modified "2023-10-18" @default.
- W4246172389 title "Investigating the role of antecedent SMAP satellite soil moisture, radar rainfall and MODIS vegetation on runoff production in an agricultural region" @default.
- W4246172389 doi "https://doi.org/10.31224/osf.io/vauf7" @default.
- W4246172389 hasPublicationYear "2019" @default.
- W4246172389 type Work @default.
- W4246172389 citedByCount "0" @default.
- W4246172389 crossrefType "posted-content" @default.
- W4246172389 hasAuthorship W4246172389A5039523301 @default.
- W4246172389 hasAuthorship W4246172389A5043937417 @default.
- W4246172389 hasAuthorship W4246172389A5067390567 @default.
- W4246172389 hasAuthorship W4246172389A5091834031 @default.
- W4246172389 hasBestOaLocation W42461723892 @default.
- W4246172389 hasConcept C124203675 @default.
- W4246172389 hasConcept C126645576 @default.
- W4246172389 hasConcept C127313418 @default.
- W4246172389 hasConcept C142724271 @default.
- W4246172389 hasConcept C187320778 @default.
- W4246172389 hasConcept C18903297 @default.
- W4246172389 hasConcept C204021793 @default.
- W4246172389 hasConcept C205649164 @default.
- W4246172389 hasConcept C24749216 @default.
- W4246172389 hasConcept C24939127 @default.
- W4246172389 hasConcept C2776133958 @default.
- W4246172389 hasConcept C39432304 @default.
- W4246172389 hasConcept C50477045 @default.
- W4246172389 hasConcept C53739315 @default.
- W4246172389 hasConcept C58640448 @default.
- W4246172389 hasConcept C71924100 @default.
- W4246172389 hasConcept C76886044 @default.
- W4246172389 hasConcept C86803240 @default.
- W4246172389 hasConceptScore W4246172389C124203675 @default.
- W4246172389 hasConceptScore W4246172389C126645576 @default.
- W4246172389 hasConceptScore W4246172389C127313418 @default.
- W4246172389 hasConceptScore W4246172389C142724271 @default.
- W4246172389 hasConceptScore W4246172389C187320778 @default.
- W4246172389 hasConceptScore W4246172389C18903297 @default.
- W4246172389 hasConceptScore W4246172389C204021793 @default.
- W4246172389 hasConceptScore W4246172389C205649164 @default.
- W4246172389 hasConceptScore W4246172389C24749216 @default.
- W4246172389 hasConceptScore W4246172389C24939127 @default.
- W4246172389 hasConceptScore W4246172389C2776133958 @default.
- W4246172389 hasConceptScore W4246172389C39432304 @default.
- W4246172389 hasConceptScore W4246172389C50477045 @default.
- W4246172389 hasConceptScore W4246172389C53739315 @default.
- W4246172389 hasConceptScore W4246172389C58640448 @default.
- W4246172389 hasConceptScore W4246172389C71924100 @default.
- W4246172389 hasConceptScore W4246172389C76886044 @default.
- W4246172389 hasConceptScore W4246172389C86803240 @default.
- W4246172389 hasLocation W42461723891 @default.
- W4246172389 hasLocation W42461723892 @default.
- W4246172389 hasOpenAccess W4246172389 @default.
- W4246172389 hasPrimaryLocation W42461723891 @default.
- W4246172389 hasRelatedWork W2067490953 @default.
- W4246172389 hasRelatedWork W2109847939 @default.
- W4246172389 hasRelatedWork W2149490737 @default.
- W4246172389 hasRelatedWork W2373233278 @default.
- W4246172389 hasRelatedWork W2422356318 @default.
- W4246172389 hasRelatedWork W2466298210 @default.
- W4246172389 hasRelatedWork W3210222467 @default.
- W4246172389 hasRelatedWork W4206283255 @default.
- W4246172389 hasRelatedWork W4255467712 @default.
- W4246172389 hasRelatedWork W4292452180 @default.
- W4246172389 isParatext "false" @default.
- W4246172389 isRetracted "false" @default.
- W4246172389 workType "article" @default.