FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2155543356> ?p ?o ?g. }

• W2155543356 endingPage "1464" @default.
• W2155543356 startingPage "1449" @default.
• W2155543356 abstract "Abstract. In the Ferlo Region in Senegal, livestock depend on temporary ponds for water but are exposed to the Rift Valley Fever (RVF), a disease transmitted to herds by mosquitoes which develop in these ponds. Mosquito abundance is related to the emptying and filling phases of the ponds, and in order to study the epidemiology of RVF, pond modelling is required. In the context of a data scarce region, a simple hydrologic model which makes use of remote sensing data was developed to simulate pond water dynamics from daily rainfall. Two sets of ponds were considered: those located in the main stream of the Ferlo Valley whose hydrological dynamics are essentially due to runoff, and the ponds located outside, which are smaller and whose filling mechanisms are mainly due to direct rainfall. Separate calibrations and validations were made for each set of ponds. Calibration was performed from daily field data (rainfall, water level) collected during the 2001 and 2002 rainy seasons and from three different sources of remote sensing data: 1) very high spatial resolution optical satellite images to access pond location and surface area at given dates, 2) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (DEM) data to estimate pond catchment area and 3) Tropical Rainfall Measuring Mission (TRMM) data for rainfall estimates. The model was applied to all ponds of the study area, the results were validated and a sensitivity analysis was performed. Water height simulations using gauge rainfall as input were compared to water level measurements from four ponds and Nash coefficients >0.7 were obtained. Comparison with simulations using TRMM rainfall data gave mixed results, with poor water height simulations for the year 2001 and good estimations for the year 2002. A pond map derived from a Quickbird satellite image was used to assess model accuracy for simulating pond water areas for all the ponds of the study area. The validation showed that modelled water areas were mostly underestimated but significantly correlated, particularly for the larger ponds. The results of the sensitivity analysis showed that parameters relative to pond shape and catchment area estimation have less effects on model simulation than parameters relative to soil properties (rainfall threshold causing runoff in dry soils and the coefficient expressing soil moisture decrease with time) or the water loss coefficient. Overall, our results demonstrate the possibility of using a simple hydrologic model with remote sensing data to track pond water heights and water areas in a homogeneous arid area." @default.
• W2155543356 created "2016-06-24" @default.
• W2155543356 creator A5013475059 @default.
• W2155543356 creator A5023813417 @default.
• W2155543356 creator A5035456488 @default.
• W2155543356 creator A5036206560 @default.
• W2155543356 creator A5052088411 @default.
• W2155543356 creator A5063724247 @default.
• W2155543356 creator A5078217604 @default.
• W2155543356 creator A5081050897 @default.
• W2155543356 date "2010-08-04" @default.
• W2155543356 modified "2023-09-30" @default.
• W2155543356 title "The potential for remote sensing and hydrologic modelling to assess the spatio-temporal dynamics of ponds in the Ferlo Region (Senegal)" @default.
• W2155543356 cites W1967914783 @default.
• W2155543356 cites W1976946189 @default.
• W2155543356 cites W1979087322 @default.
• W2155543356 cites W1990741705 @default.
• W2155543356 cites W1995477813 @default.
• W2155543356 cites W1996503835 @default.
• W2155543356 cites W1999160630 @default.
• W2155543356 cites W2012014449 @default.
• W2155543356 cites W2012723923 @default.
• W2155543356 cites W2022725676 @default.
• W2155543356 cites W2025328241 @default.
• W2155543356 cites W2032605666 @default.
• W2155543356 cites W2034442091 @default.
• W2155543356 cites W2046833859 @default.
• W2155543356 cites W2061375531 @default.
• W2155543356 cites W2072275417 @default.
• W2155543356 cites W2072831241 @default.
• W2155543356 cites W2076174215 @default.
• W2155543356 cites W2077509829 @default.
• W2155543356 cites W2081601823 @default.
• W2155543356 cites W2082652968 @default.
• W2155543356 cites W2095356628 @default.
• W2155543356 cites W2098713527 @default.
• W2155543356 cites W2115442455 @default.
• W2155543356 cites W2116370784 @default.
• W2155543356 cites W2116766953 @default.
• W2155543356 cites W2126280240 @default.
• W2155543356 cites W2139926985 @default.
• W2155543356 cites W2153938287 @default.
• W2155543356 cites W2158924117 @default.
• W2155543356 cites W2159623840 @default.
• W2155543356 cites W2169804766 @default.
• W2155543356 cites W2188300002 @default.
• W2155543356 cites W2517849954 @default.
• W2155543356 cites W4213297749 @default.
• W2155543356 cites W4241210177 @default.
• W2155543356 cites W526231 @default.
• W2155543356 cites W999207820 @default.
• W2155543356 doi "https://doi.org/10.5194/hess-14-1449-2010" @default.
• W2155543356 hasPublicationYear "2010" @default.
• W2155543356 type Work @default.
• W2155543356 sameAs 2155543356 @default.
• W2155543356 citedByCount "36" @default.
• W2155543356 countsByYear W21555433562012 @default.
• W2155543356 countsByYear W21555433562013 @default.
• W2155543356 countsByYear W21555433562014 @default.
• W2155543356 countsByYear W21555433562015 @default.
• W2155543356 countsByYear W21555433562016 @default.
• W2155543356 countsByYear W21555433562017 @default.
• W2155543356 countsByYear W21555433562018 @default.
• W2155543356 countsByYear W21555433562019 @default.
• W2155543356 countsByYear W21555433562020 @default.
• W2155543356 countsByYear W21555433562021 @default.
• W2155543356 countsByYear W21555433562022 @default.
• W2155543356 crossrefType "journal-article" @default.
• W2155543356 hasAuthorship W2155543356A5013475059 @default.
• W2155543356 hasAuthorship W2155543356A5023813417 @default.
• W2155543356 hasAuthorship W2155543356A5035456488 @default.
• W2155543356 hasAuthorship W2155543356A5036206560 @default.
• W2155543356 hasAuthorship W2155543356A5052088411 @default.
• W2155543356 hasAuthorship W2155543356A5063724247 @default.
• W2155543356 hasAuthorship W2155543356A5078217604 @default.
• W2155543356 hasAuthorship W2155543356A5081050897 @default.
• W2155543356 hasBestOaLocation W21555433561 @default.
• W2155543356 hasConcept C100725284 @default.
• W2155543356 hasConcept C107054158 @default.
• W2155543356 hasConcept C127313418 @default.
• W2155543356 hasConcept C13772937 @default.
• W2155543356 hasConcept C153294291 @default.
• W2155543356 hasConcept C166957645 @default.
• W2155543356 hasConcept C181843262 @default.
• W2155543356 hasConcept C187320778 @default.
• W2155543356 hasConcept C18903297 @default.
• W2155543356 hasConcept C205649164 @default.
• W2155543356 hasConcept C2779343474 @default.
• W2155543356 hasConcept C39432304 @default.
• W2155543356 hasConcept C50477045 @default.
• W2155543356 hasConcept C52322663 @default.
• W2155543356 hasConcept C58640448 @default.
• W2155543356 hasConcept C62649853 @default.
• W2155543356 hasConcept C74256435 @default.
• W2155543356 hasConcept C76886044 @default.
• W2155543356 hasConcept C86803240 @default.
• W2155543356 hasConceptScore W2155543356C100725284 @default.
• W2155543356 hasConceptScore W2155543356C107054158 @default.

• next