FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220925024> ?p ?o ?g. }

• W4220925024 endingPage "012032" @default.
• W4220925024 startingPage "012032" @default.
• W4220925024 abstract "Abstract The present study employed remote sensing data, GIS technologies, and drainage morphometric analysis to assess groundwater potential for sustainable development in the Iyenada River Catchment, Rift Valley, Southern Ethiopia. A 30 m spatial resolution Shuttle Radar Topographic Mapper (SRTM) digital elevation model and toposheets were used to demarcate the present study area’s watershed boundary and extract drainage network in Arc GIS software environment. The current study area was divided into eight watersheds, namely WS-1, WS-2, WS-3, WS-4, WS-5, WS-6, WS-7, and WS-8, and the total areal extend is 497.70 Sqkm. The standard formula was used to determine the necessary linear, relief, and spatial morphometric parameters. According to the present investigation results, the current study region includes undulating topography with slopes ranging from 0° to 52°. The groundwater occurrence is inversely proportional to the following morphometric parameter values: stream frequency, drainage texture, drainage density, bifurcation ratio, and form factor; the lower the values, the more significant groundwater occurrence. The groundwater occurrence is directly proportional to the morphometric parameters: compactness coefficient, elongation ratio, circularity ratio, and length of overland flow. The present study areas’ watersheds were prioritized using compound parameter analysis, which combined the mentioned-above morphometric parameters for each watershed. Compound factor values ranging between 3.78 to 5.11 and same was classified into three categories, and priorities were assigned 3.780 - 4.11 (high), 4.12 - 4.78 (medium), and 4.79 - 5.11 (low). The watersheds (WS-2 and WS-4) need immediate attention to minimize the surface runoff and enhance groundwater recharge. The results show that WS-7 having high and WS-1, WS-3, WS-5, WS-6, and WS-8 have medium groundwater potential. Watersheds with poor groundwater potential demand additional thorough research and remedial procedures, including implementing appropriate recharge systems. The current study demonstrates the effective use of remote sensing, GIS, and drainage morphometry in assessing groundwater potential." @default.
• W4220925024 created "2022-04-03" @default.
• W4220925024 creator A5001273263 @default.
• W4220925024 creator A5024706536 @default.
• W4220925024 creator A5026884201 @default.
• W4220925024 date "2022-03-01" @default.
• W4220925024 modified "2023-09-25" @default.
• W4220925024 title "Application of Remote Sensing, GIS, and Drainage Morphometric Analysis in Groundwater potential Assessment for sustainable development in Iyenda River Catchment, Konso Zone, Rift Valley, Southern Ethiopia" @default.
• W4220925024 cites W1980881943 @default.
• W4220925024 cites W1993284672 @default.
• W4220925024 cites W1993353108 @default.
• W4220925024 cites W1997123763 @default.
• W4220925024 cites W1997191710 @default.
• W4220925024 cites W2017812367 @default.
• W4220925024 cites W2030968905 @default.
• W4220925024 cites W2033362510 @default.
• W4220925024 cites W2034789600 @default.
• W4220925024 cites W2042699005 @default.
• W4220925024 cites W2046177454 @default.
• W4220925024 cites W2074765601 @default.
• W4220925024 cites W2088226024 @default.
• W4220925024 cites W2089236293 @default.
• W4220925024 cites W2105250188 @default.
• W4220925024 cites W2132394621 @default.
• W4220925024 cites W2135754845 @default.
• W4220925024 cites W2139089261 @default.
• W4220925024 cites W2344117208 @default.
• W4220925024 cites W2581347966 @default.
• W4220925024 cites W2587258728 @default.
• W4220925024 cites W2763562688 @default.
• W4220925024 cites W2779395808 @default.
• W4220925024 cites W2786966465 @default.
• W4220925024 cites W2791242929 @default.
• W4220925024 cites W2794269716 @default.
• W4220925024 cites W2797329389 @default.
• W4220925024 cites W2890965761 @default.
• W4220925024 cites W2899727537 @default.
• W4220925024 cites W2911583895 @default.
• W4220925024 cites W2924276311 @default.
• W4220925024 cites W3031007940 @default.
• W4220925024 cites W3046788026 @default.
• W4220925024 cites W3049121185 @default.
• W4220925024 cites W3054387804 @default.
• W4220925024 cites W3128158434 @default.
• W4220925024 cites W3155735778 @default.
• W4220925024 cites W3173464304 @default.
• W4220925024 doi "https://doi.org/10.1088/1755-1315/982/1/012032" @default.
• W4220925024 hasPublicationYear "2022" @default.
• W4220925024 type Work @default.
• W4220925024 citedByCount "2" @default.
• W4220925024 countsByYear W42209250242022 @default.
• W4220925024 countsByYear W42209250242023 @default.
• W4220925024 crossrefType "journal-article" @default.
• W4220925024 hasAuthorship W4220925024A5001273263 @default.
• W4220925024 hasAuthorship W4220925024A5024706536 @default.
• W4220925024 hasAuthorship W4220925024A5026884201 @default.
• W4220925024 hasBestOaLocation W42209250241 @default.
• W4220925024 hasConcept C119857082 @default.
• W4220925024 hasConcept C126645576 @default.
• W4220925024 hasConcept C127313418 @default.
• W4220925024 hasConcept C150547873 @default.
• W4220925024 hasConcept C181843262 @default.
• W4220925024 hasConcept C184149073 @default.
• W4220925024 hasConcept C187320778 @default.
• W4220925024 hasConcept C18903297 @default.
• W4220925024 hasConcept C205649164 @default.
• W4220925024 hasConcept C2779989982 @default.
• W4220925024 hasConcept C39432304 @default.
• W4220925024 hasConcept C41008148 @default.
• W4220925024 hasConcept C58640448 @default.
• W4220925024 hasConcept C62649853 @default.
• W4220925024 hasConcept C67592535 @default.
• W4220925024 hasConcept C75622301 @default.
• W4220925024 hasConcept C76177295 @default.
• W4220925024 hasConcept C76886044 @default.
• W4220925024 hasConcept C86803240 @default.
• W4220925024 hasConceptScore W4220925024C119857082 @default.
• W4220925024 hasConceptScore W4220925024C126645576 @default.
• W4220925024 hasConceptScore W4220925024C127313418 @default.
• W4220925024 hasConceptScore W4220925024C150547873 @default.
• W4220925024 hasConceptScore W4220925024C181843262 @default.
• W4220925024 hasConceptScore W4220925024C184149073 @default.
• W4220925024 hasConceptScore W4220925024C187320778 @default.
• W4220925024 hasConceptScore W4220925024C18903297 @default.
• W4220925024 hasConceptScore W4220925024C205649164 @default.
• W4220925024 hasConceptScore W4220925024C2779989982 @default.
• W4220925024 hasConceptScore W4220925024C39432304 @default.
• W4220925024 hasConceptScore W4220925024C41008148 @default.
• W4220925024 hasConceptScore W4220925024C58640448 @default.
• W4220925024 hasConceptScore W4220925024C62649853 @default.
• W4220925024 hasConceptScore W4220925024C67592535 @default.
• W4220925024 hasConceptScore W4220925024C75622301 @default.
• W4220925024 hasConceptScore W4220925024C76177295 @default.
• W4220925024 hasConceptScore W4220925024C76886044 @default.
• W4220925024 hasConceptScore W4220925024C86803240 @default.
• W4220925024 hasIssue "1" @default.
• W4220925024 hasLocation W42209250241 @default.
• W4220925024 hasOpenAccess W4220925024 @default.

• next