A spatial approach to identify priority areas for pesticide pollution mitigation

JOURNAL OF ENVIRONMENTAL MANAGEMENT

卷:246

Article

Quaglia, Gisela^1,2  Joris, Ingeborg^1,5  Broekx, Steven¹  Desmet, Nele¹  Koopmans, Kim³  Vandaele, Karel⁴  Seuntjens, Piet^1,2,6 

[1] VITO, Flemish Inst Technol Res, Environm Modelling Unit, Boeretang 200, B-2400 Mol, Belgium

[2] Univ Ghent, Dept Environm, Coupure Links 653, B-9000 Ghent, Belgium

[3] Pcfruit Npo, Fruittuinweg 1, B-3800 St Truiden, Belgium

[4] Watering Sint Truiden, Breendonkstr3, B-3800 St Truiden, Belgium

[5] Univ Antwerp, Dept Biosci Engn, Groenenborgerlaan 171, B-2020 Antwerp, Belgium

[6] Univ Antwerp, Inst Environm & Sustainable Dev, Groenenborgerlaan171, B-2020 Antwerp, Belgium

关键词: Surface water;    Diffuse pesticide pollution;    GIS modelling;    Catchment scale;    Pesticide risk areas;    Field observations;   

DOI  :  10.1016/j.jenvman.2019.04.120

来源: Elsevier

【 摘 要 】

Identifying priority areas is an essential step in developing management strategies to reduce pesticide loads in surface water. A spatially explicit model-based approach was developed to detect priority areas for diffuse pesticide pollution at catchment scale. The method uses available datasets and considers different pesticide pathways in the environment post-application. The approach was applied in a catchment area in SE Flanders (Belgium) as a case study. Calculated risk areas were obtained using detailed landscape data and combining pesticide emissions and hydrological connectivity. The risk areas obtained were further compared with an alternative observation-based method, developed specifically for this study site that includes long-term field observations and local expert knowledge. Both methods equally classified 50% of the areas. The impact of crop rotation on the calculated risk was analysed. High-risk areas were identified and added to a cumulative map over all five years to evaluate temporal variations. The model-based approach was used for the initial identification of risk areas at the study site. The tool helps to prioritise zones and detect particular fields to target landscape mitigation measures to reduce diffuse pesticide pollution reaching surface water bodies.

【 授权许可】

Free