Florian Krebs, Gunnar Kahl, Dirk Baets, Thorsten Schad, Robin Sur, Lutz Breuer
{"title":"High Frequency Monitoring of Herbicides in Surface Water and Farmers Survey in an Agricultural Catchment in Belgium","authors":"Florian Krebs, Gunnar Kahl, Dirk Baets, Thorsten Schad, Robin Sur, Lutz Breuer","doi":"10.1002/gdj3.70004","DOIUrl":null,"url":null,"abstract":"<p>Contrary to the widespread discussion of pesticide fate in the environment, there are surprisingly few publicly available datasets for the development and testing of pesticide fate models. Here, we present a comprehensive dataset that is designed to examine the environmental exposure of surface water pollution by herbicides in an intensively agricultural headwater catchment (catchment area 1032 ha) in Flanders, Belgium. From May 2010 through December 2013, stream discharge was measured, and water samples were taken at two sampling locations, one at the outlet and one within the catchment. During the 1325 days, the temporal resolution of sampling was at least daily, with sub-daily sampling of two or four samples on 61% of the days. In total, 4350 water samples were analysed for 11 herbicides and one metabolite. Additional meta-information on application practice was collected beginning in autumn of 2009 from all farmers working in the study area. In addition to analytical and meta-data, we also present links to publicly available spatial data on land use, soils and topography. The full dataset (including streamflow, precipitation and application data) is available at https://doi.org/10.5281/zenodo.10189609.</p>","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"12 3","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70004","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Data Journal","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gdj3.70004","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Contrary to the widespread discussion of pesticide fate in the environment, there are surprisingly few publicly available datasets for the development and testing of pesticide fate models. Here, we present a comprehensive dataset that is designed to examine the environmental exposure of surface water pollution by herbicides in an intensively agricultural headwater catchment (catchment area 1032 ha) in Flanders, Belgium. From May 2010 through December 2013, stream discharge was measured, and water samples were taken at two sampling locations, one at the outlet and one within the catchment. During the 1325 days, the temporal resolution of sampling was at least daily, with sub-daily sampling of two or four samples on 61% of the days. In total, 4350 water samples were analysed for 11 herbicides and one metabolite. Additional meta-information on application practice was collected beginning in autumn of 2009 from all farmers working in the study area. In addition to analytical and meta-data, we also present links to publicly available spatial data on land use, soils and topography. The full dataset (including streamflow, precipitation and application data) is available at https://doi.org/10.5281/zenodo.10189609.
Geoscience Data JournalGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍:
Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered.
An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices.
Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.