Matches in SemOpenAlex for { <https://semopenalex.org/work/W2924581632> ?p ?o ?g. }
- W2924581632 endingPage "1160" @default.
- W2924581632 startingPage "1144" @default.
- W2924581632 abstract "Pesticide transfers and fate are highly influenced by the presence of discontinuities such as grass strips, slopes, hedgerows or roads that can accelerate or slow down and dissipate water and contaminant fluxes. That is why those landscape elements must be integrated into watershed management plans. It implies taking them into account when modeling water and contaminant fluxes at the small catchment scale. However, if the influence of landscape elements has already been widely explored at field scale, models generally do not reach the catchment scale. The project PESHMELBA aims at developing a new modeling tool of water and contaminants circulation and fate at the scale of small catchments in order to optimize landscape organization. The model explicitly takes into account spatial organization of landscape by representing existing elements, their locations and shapes. The final aim of this modeling tool is to efficiently test and rank different development scenarios in order to assess the influence of agricultural practices, land uses and landscape management strategies on water quality. In PESHMELBA, dominating processes ruling water and contaminants circulation and dissipation for each element type are mainly represented by existing and validated models. New components have also been developed when no suitable model was found in the literature. All these models present different levels of conceptualization and are used as modeling units ensuring a modular structure. Then, the different units are gathered and connected in the OpenPALM coupler (Fouilloux and Piacentini, 1999) in order to implement the spatial and temporal couplings. This innovative approach leads to a spatialized model of the whole catchment. Applications cases are tested with an increasing complexity, from a case with two plots to the hillslope scale with several plots, ditches and rivers. They show that PESHMELBA is a promising tool to compare scenarios considering water and pesticide fate in different complex landscapes." @default.
- W2924581632 created "2019-04-01" @default.
- W2924581632 creator A5005703562 @default.
- W2924581632 creator A5005824665 @default.
- W2924581632 creator A5018082539 @default.
- W2924581632 creator A5041926746 @default.
- W2924581632 creator A5045351135 @default.
- W2924581632 creator A5072029495 @default.
- W2924581632 creator A5077314276 @default.
- W2924581632 date "2019-06-01" @default.
- W2924581632 modified "2023-09-25" @default.
- W2924581632 title "From agricultural catchment to management scenarios: A modular tool to assess effects of landscape features on water and pesticide behavior" @default.
- W2924581632 cites W1542622005 @default.
- W2924581632 cites W1554067599 @default.
- W2924581632 cites W1558519938 @default.
- W2924581632 cites W1655569767 @default.
- W2924581632 cites W1837635565 @default.
- W2924581632 cites W1963872206 @default.
- W2924581632 cites W1965417101 @default.
- W2924581632 cites W1966631864 @default.
- W2924581632 cites W1966882003 @default.
- W2924581632 cites W1967475142 @default.
- W2924581632 cites W1967663893 @default.
- W2924581632 cites W1974493213 @default.
- W2924581632 cites W1975897230 @default.
- W2924581632 cites W1978881806 @default.
- W2924581632 cites W1980440523 @default.
- W2924581632 cites W1983724666 @default.
- W2924581632 cites W1984627856 @default.
- W2924581632 cites W1985182190 @default.
- W2924581632 cites W1991593559 @default.
- W2924581632 cites W1992547599 @default.
- W2924581632 cites W1997572243 @default.
- W2924581632 cites W2006381190 @default.
- W2924581632 cites W2006631142 @default.
- W2924581632 cites W2024126721 @default.
- W2924581632 cites W2026020073 @default.
- W2924581632 cites W2032600630 @default.
- W2924581632 cites W2036666884 @default.
- W2924581632 cites W2038786727 @default.
- W2924581632 cites W2039987884 @default.
- W2924581632 cites W2047184680 @default.
- W2924581632 cites W2047692953 @default.
- W2924581632 cites W2048373502 @default.
- W2924581632 cites W2049872392 @default.
- W2924581632 cites W2057207821 @default.
- W2924581632 cites W2057418836 @default.
- W2924581632 cites W2065926741 @default.
- W2924581632 cites W2069313066 @default.
- W2924581632 cites W2069736264 @default.
- W2924581632 cites W2073867489 @default.
- W2924581632 cites W2075057479 @default.
- W2924581632 cites W2075108083 @default.
- W2924581632 cites W2076698602 @default.
- W2924581632 cites W2077275114 @default.
- W2924581632 cites W2078691191 @default.
- W2924581632 cites W2078949744 @default.
- W2924581632 cites W2082091366 @default.
- W2924581632 cites W2088042549 @default.
- W2924581632 cites W2090257422 @default.
- W2924581632 cites W2111327302 @default.
- W2924581632 cites W2118417298 @default.
- W2924581632 cites W2118718150 @default.
- W2924581632 cites W2139482396 @default.
- W2924581632 cites W2140973926 @default.
- W2924581632 cites W2148500316 @default.
- W2924581632 cites W2153316534 @default.
- W2924581632 cites W2161202369 @default.
- W2924581632 cites W2166790957 @default.
- W2924581632 cites W2167164102 @default.
- W2924581632 cites W2175210520 @default.
- W2924581632 cites W2216029508 @default.
- W2924581632 cites W2296804791 @default.
- W2924581632 cites W2303468042 @default.
- W2924581632 cites W2406801292 @default.
- W2924581632 cites W2509707219 @default.
- W2924581632 cites W2529988026 @default.
- W2924581632 cites W2537056475 @default.
- W2924581632 cites W2588588231 @default.
- W2924581632 cites W2750103739 @default.
- W2924581632 cites W2750157663 @default.
- W2924581632 cites W2803286700 @default.
- W2924581632 cites W2901543037 @default.
- W2924581632 cites W2906092654 @default.
- W2924581632 cites W2908365240 @default.
- W2924581632 cites W4240692197 @default.
- W2924581632 doi "https://doi.org/10.1016/j.scitotenv.2019.03.060" @default.
- W2924581632 hasPublicationYear "2019" @default.
- W2924581632 type Work @default.
- W2924581632 sameAs 2924581632 @default.
- W2924581632 citedByCount "11" @default.
- W2924581632 countsByYear W29245816322020 @default.
- W2924581632 countsByYear W29245816322021 @default.
- W2924581632 countsByYear W29245816322022 @default.
- W2924581632 countsByYear W29245816322023 @default.
- W2924581632 crossrefType "journal-article" @default.
- W2924581632 hasAuthorship W2924581632A5005703562 @default.
- W2924581632 hasAuthorship W2924581632A5005824665 @default.