FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920003281> ?p ?o ?g. }

• W2920003281 endingPage "477" @default.
• W2920003281 startingPage "477" @default.
• W2920003281 abstract "The Drying Stream Assessment Tool and Water Flow Tracking (DrySAT-WFT) were modified to simulate the hydrological components of water loss databases (DBs) affecting stream drying phenomena. In this study, the phenomenon is defined based on a method using the 10-day minimum flow (reference Q355). Prior to identifying the method using reference Q355, the DrySAT-WFT model was calibrated and verified for its performance with the total runoff (TQ), evapotranspiration (ET), and soil moisture (SM) at 12 streamflow locations, 3 ET locations, and 58 SM locations. The average R2 for TQ in 2005 to 2015 were 0.66 to 0.84, which demonstrates good performance. Moreover, Nash Sutcliffe model efficiency (NSE) values were 0.52 to 0.72, which are also good. After verifying the DrySAT-WFT model for hydrologic components, in order to apply the method, this study defined the drying progress which was analyzed by the stream drying index (SDI) as decision criteria. In this study, the criteria for the estimation of SDI were calculated as reference Q355 coming from the 10-day minimum flow considering only weather changes from 1976 to 2015. Then, SDI grades were determined by counting the number of days below a reference Q355 from TQ considering all water loss databases (DBs) such as weather changes, groundwater uses, forest heights, soil depths, land use, and road network. On the other hand, SDI represents how many days below the reference Q355 increased when all water loss DBs were applied, in comparison to when only weather changes were applied. The DrySAT-WFT model simulated the hydrological components of the water balance based on each water loss DB, including the application of all DBs. As a result, the change ratios for TQ were measured: −4.8% for groundwater use (GWU), −1.3% for forest height (FH), −0.3% for road network (RN), −0.1% for land use (LU) and −0.1% for soil depth (SD). Overall, TQ values decreased by -8.4%. The change ratios for ET were measured: −2.0% for GWU, +10.5% for FH, +5.6% for RN, −1.8% for LU and +0.3% for SD. Overall, the ET values increased by +14.7%. In addition, based on all water loss DBs, the SDI was evaluated for all watersheds, which intensified recently (2006–2015). Under weather DB conditions, the average SDI was measured as 2.0 for all watersheds. Stream drying processes remained limited, requiring only monitoring. Given baseline conditions, stream drying intensified to grades of 3.1 (1976–1985), 3.2 (1986–1995), 3.3 (1996–2005) and 3.5 (2006–2015) by all water loss DBs." @default.
• W2920003281 created "2019-03-11" @default.
• W2920003281 creator A5003742547 @default.
• W2920003281 creator A5007632172 @default.
• W2920003281 creator A5025077773 @default.
• W2920003281 creator A5068835855 @default.
• W2920003281 date "2019-03-07" @default.
• W2920003281 modified "2023-09-26" @default.
• W2920003281 title "Quantification of Stream Drying Phenomena Using Grid-Based Hydrological Modeling via Long-Term Data Mining throughout South Korea including Ungauged Areas" @default.
• W2920003281 cites W1855549704 @default.
• W2920003281 cites W1965874233 @default.
• W2920003281 cites W1969974566 @default.
• W2920003281 cites W1970563493 @default.
• W2920003281 cites W1977335584 @default.
• W2920003281 cites W1985535390 @default.
• W2920003281 cites W1990099831 @default.
• W2920003281 cites W1994082054 @default.
• W2920003281 cites W2005509883 @default.
• W2920003281 cites W2006296944 @default.
• W2920003281 cites W2009581326 @default.
• W2920003281 cites W2012832250 @default.
• W2920003281 cites W2018131591 @default.
• W2920003281 cites W2018967551 @default.
• W2920003281 cites W2023251717 @default.
• W2920003281 cites W2023873066 @default.
• W2920003281 cites W2026460846 @default.
• W2920003281 cites W2027316861 @default.
• W2920003281 cites W2032059725 @default.
• W2920003281 cites W2033904036 @default.
• W2920003281 cites W2034297167 @default.
• W2920003281 cites W2046164985 @default.
• W2920003281 cites W2048617279 @default.
• W2920003281 cites W2049869055 @default.
• W2920003281 cites W2051612069 @default.
• W2920003281 cites W2052368806 @default.
• W2920003281 cites W2052662028 @default.
• W2920003281 cites W2058998445 @default.
• W2920003281 cites W2059176575 @default.
• W2920003281 cites W2068872588 @default.
• W2920003281 cites W2071016654 @default.
• W2920003281 cites W2073004061 @default.
• W2920003281 cites W2075197853 @default.
• W2920003281 cites W2079671208 @default.
• W2920003281 cites W2093192768 @default.
• W2920003281 cites W2102134277 @default.
• W2920003281 cites W2112636346 @default.
• W2920003281 cites W2114985529 @default.
• W2920003281 cites W2115631992 @default.
• W2920003281 cites W2132754942 @default.
• W2920003281 cites W2137607489 @default.
• W2920003281 cites W2157044465 @default.
• W2920003281 cites W2158146962 @default.
• W2920003281 cites W2159509113 @default.
• W2920003281 cites W2161334450 @default.
• W2920003281 cites W2161462218 @default.
• W2920003281 cites W2161885200 @default.
• W2920003281 cites W2161945836 @default.
• W2920003281 cites W2164696140 @default.
• W2920003281 cites W2171545088 @default.
• W2920003281 cites W2254953300 @default.
• W2920003281 cites W2286991778 @default.
• W2920003281 cites W2325016432 @default.
• W2920003281 cites W2412746509 @default.
• W2920003281 cites W2474807266 @default.
• W2920003281 cites W2902775161 @default.
• W2920003281 doi "https://doi.org/10.3390/w11030477" @default.
• W2920003281 hasPublicationYear "2019" @default.
• W2920003281 type Work @default.
• W2920003281 sameAs 2920003281 @default.
• W2920003281 citedByCount "5" @default.
• W2920003281 countsByYear W29200032812019 @default.
• W2920003281 countsByYear W29200032812021 @default.
• W2920003281 countsByYear W29200032812022 @default.
• W2920003281 crossrefType "journal-article" @default.
• W2920003281 hasAuthorship W2920003281A5003742547 @default.
• W2920003281 hasAuthorship W2920003281A5007632172 @default.
• W2920003281 hasAuthorship W2920003281A5025077773 @default.
• W2920003281 hasAuthorship W2920003281A5068835855 @default.
• W2920003281 hasBestOaLocation W29200032811 @default.
• W2920003281 hasConcept C126645576 @default.
• W2920003281 hasConcept C127413603 @default.
• W2920003281 hasConcept C153294291 @default.
• W2920003281 hasConcept C176783924 @default.
• W2920003281 hasConcept C187320778 @default.
• W2920003281 hasConcept C18903297 @default.
• W2920003281 hasConcept C205649164 @default.
• W2920003281 hasConcept C39432304 @default.
• W2920003281 hasConcept C41008148 @default.
• W2920003281 hasConcept C50477045 @default.
• W2920003281 hasConcept C53739315 @default.
• W2920003281 hasConcept C58640448 @default.
• W2920003281 hasConcept C76886044 @default.
• W2920003281 hasConcept C77088390 @default.
• W2920003281 hasConcept C86803240 @default.
• W2920003281 hasConceptScore W2920003281C126645576 @default.
• W2920003281 hasConceptScore W2920003281C127413603 @default.
• W2920003281 hasConceptScore W2920003281C153294291 @default.
• W2920003281 hasConceptScore W2920003281C176783924 @default.

• next