Matches in SemOpenAlex for { <https://semopenalex.org/work/W2053016487> ?p ?o ?g. }
- W2053016487 endingPage "765" @default.
- W2053016487 startingPage "754" @default.
- W2053016487 abstract "▶ Modelling diffuse nutrient losses from agriculture implies physically based hydrological model. ▶ The model must be consistent whatever the reporting unit is. ▶ In Wallonia, 8% of the groundwater bodies need over 15 years to be impacted by mitigation measures. ▶ Currently, catch crops and the weather mostly impacts nutrient mitigation. ▶ A sensitivity analysis of the future weather's effect is necessary. Diffuse nutrient loss from agriculture into the soil, groundwater and surface water affects their quality. Different policies are in force throughout the European Union aiming for their limitation. They were implemented through action plans on a regional scale. Hydrological modelling can be a powerful method for efficiently evaluating their effectiveness. In order to be useful whatever the action and for every reporting unit (whole Region, water bodies, nitrate vulnerable zones, fields...) the model must be physically based, it must simulate water and nutrient fluxes in the root zone and the vadose zone as well as being geographically flexible. This paper presents such a model and its application in the context of Wallonia (Southern part of Belgium). It also presents a calculation of what water and nutrient flows could be under a given climatic scenario until 2015. In Belgium, water quality depends upon Regions. Wallonia implemented the European Nitrate Directive through two action plans the first in 2002 and the second in 2007. These actions plans were modelled and compared to a scenario without any modification in the farmers’ practices. The modelling showed the need for two indicators: nitrate concentration under the root zone as fast indicator of the actions’ efficiency and transfer time from surface to groundwater table. The first action plan hardly modified farmers’ field practices and consequently it did not impact water quality. The second action plan had more impact (reduction up to 10 mg/l NO 3 under the root zone). It was mainly due to catch crop introduction in the nitrate vulnerable zone, if they are followed by a reduction of the mineral fertilisation (not mandatory). Our results show that new actions are necessary. We show where and to what extent they have to be implemented. Nevertheless, the greatest variation in nitrate leaching from the root zone seems to be dependent on the weather, more than the action plans. Particularly the rainy period between 1998 and 2002 had a huge impact on nitrogen flows. Our hydrological modelling is showed to be a powerful tool of nitrogen management in a still uncertain climatic evolution context. Finally, we showed that patience and perseverance will be necessary to reach the targets of the WFD in the Walloon context. The map of transfer time shows that 8% of the groundwater bodies need over 15 years to be impacted by mitigation measures." @default.
- W2053016487 created "2016-06-24" @default.
- W2053016487 creator A5013398880 @default.
- W2053016487 creator A5021617075 @default.
- W2053016487 date "2010-12-01" @default.
- W2053016487 modified "2023-09-24" @default.
- W2053016487 title "Modelling the effects of the current policy measures in agriculture: An unique model from field to regional scale in Walloon region of Belgium" @default.
- W2053016487 cites W1587485253 @default.
- W2053016487 cites W1758163264 @default.
- W2053016487 cites W1967232404 @default.
- W2053016487 cites W1970364817 @default.
- W2053016487 cites W1982446944 @default.
- W2053016487 cites W1987858980 @default.
- W2053016487 cites W1991493286 @default.
- W2053016487 cites W2009295886 @default.
- W2053016487 cites W2012395696 @default.
- W2053016487 cites W2021213190 @default.
- W2053016487 cites W2021308029 @default.
- W2053016487 cites W2023027671 @default.
- W2053016487 cites W2057760575 @default.
- W2053016487 cites W2060307237 @default.
- W2053016487 cites W2066295877 @default.
- W2053016487 cites W2066328986 @default.
- W2053016487 cites W2091719419 @default.
- W2053016487 cites W2100831441 @default.
- W2053016487 cites W2130312224 @default.
- W2053016487 cites W2146577723 @default.
- W2053016487 cites W2148402203 @default.
- W2053016487 cites W2149331943 @default.
- W2053016487 doi "https://doi.org/10.1016/j.envsci.2010.08.008" @default.
- W2053016487 hasPublicationYear "2010" @default.
- W2053016487 type Work @default.
- W2053016487 sameAs 2053016487 @default.
- W2053016487 citedByCount "21" @default.
- W2053016487 countsByYear W20530164872013 @default.
- W2053016487 countsByYear W20530164872014 @default.
- W2053016487 countsByYear W20530164872015 @default.
- W2053016487 countsByYear W20530164872016 @default.
- W2053016487 countsByYear W20530164872017 @default.
- W2053016487 countsByYear W20530164872018 @default.
- W2053016487 countsByYear W20530164872022 @default.
- W2053016487 crossrefType "journal-article" @default.
- W2053016487 hasAuthorship W2053016487A5013398880 @default.
- W2053016487 hasAuthorship W2053016487A5021617075 @default.
- W2053016487 hasConcept C105639569 @default.
- W2053016487 hasConcept C107826830 @default.
- W2053016487 hasConcept C118518473 @default.
- W2053016487 hasConcept C122637931 @default.
- W2053016487 hasConcept C127313418 @default.
- W2053016487 hasConcept C142796444 @default.
- W2053016487 hasConcept C144133560 @default.
- W2053016487 hasConcept C145420912 @default.
- W2053016487 hasConcept C159390177 @default.
- W2053016487 hasConcept C159750122 @default.
- W2053016487 hasConcept C166957645 @default.
- W2053016487 hasConcept C187320778 @default.
- W2053016487 hasConcept C18903297 @default.
- W2053016487 hasConcept C191440113 @default.
- W2053016487 hasConcept C205649164 @default.
- W2053016487 hasConcept C2777610350 @default.
- W2053016487 hasConcept C2778755073 @default.
- W2053016487 hasConcept C2779343474 @default.
- W2053016487 hasConcept C2780797713 @default.
- W2053016487 hasConcept C2910001868 @default.
- W2053016487 hasConcept C33923547 @default.
- W2053016487 hasConcept C39432304 @default.
- W2053016487 hasConcept C524765639 @default.
- W2053016487 hasConcept C526734887 @default.
- W2053016487 hasConcept C58640448 @default.
- W2053016487 hasConcept C76177295 @default.
- W2053016487 hasConcept C76886044 @default.
- W2053016487 hasConcept C86803240 @default.
- W2053016487 hasConceptScore W2053016487C105639569 @default.
- W2053016487 hasConceptScore W2053016487C107826830 @default.
- W2053016487 hasConceptScore W2053016487C118518473 @default.
- W2053016487 hasConceptScore W2053016487C122637931 @default.
- W2053016487 hasConceptScore W2053016487C127313418 @default.
- W2053016487 hasConceptScore W2053016487C142796444 @default.
- W2053016487 hasConceptScore W2053016487C144133560 @default.
- W2053016487 hasConceptScore W2053016487C145420912 @default.
- W2053016487 hasConceptScore W2053016487C159390177 @default.
- W2053016487 hasConceptScore W2053016487C159750122 @default.
- W2053016487 hasConceptScore W2053016487C166957645 @default.
- W2053016487 hasConceptScore W2053016487C187320778 @default.
- W2053016487 hasConceptScore W2053016487C18903297 @default.
- W2053016487 hasConceptScore W2053016487C191440113 @default.
- W2053016487 hasConceptScore W2053016487C205649164 @default.
- W2053016487 hasConceptScore W2053016487C2777610350 @default.
- W2053016487 hasConceptScore W2053016487C2778755073 @default.
- W2053016487 hasConceptScore W2053016487C2779343474 @default.
- W2053016487 hasConceptScore W2053016487C2780797713 @default.
- W2053016487 hasConceptScore W2053016487C2910001868 @default.
- W2053016487 hasConceptScore W2053016487C33923547 @default.
- W2053016487 hasConceptScore W2053016487C39432304 @default.
- W2053016487 hasConceptScore W2053016487C524765639 @default.
- W2053016487 hasConceptScore W2053016487C526734887 @default.
- W2053016487 hasConceptScore W2053016487C58640448 @default.
- W2053016487 hasConceptScore W2053016487C76177295 @default.