High Frequency Monitoring of Herbicides in Surface Water and Farmers Survey in an Agricultural Catchment in Belgium

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Florian Krebs, Gunnar Kahl, Dirk Baets, Thorsten Schad, Robin Sur, Lutz Breuer
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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.

Abstract Image

比利时某农业集水区地表水除草剂高频监测及农户调查
与对环境中农药命运的广泛讨论相反,令人惊讶的是,用于开发和测试农药命运模型的公开数据集很少。在这里,我们提出了一个全面的数据集,旨在研究比利时法兰德斯集约化农业水源集水区(集水区面积1032公顷)除草剂对地表水污染的环境暴露。从2010年5月到2013年12月,测量了河流的流量,并在两个采样点采集了水样,一个在出口,一个在集水区。在1325天内,采样的时间分辨率至少为日,61%的天数为2个或4个样本的亚日采样。共对4350份水样进行了11种除草剂和1种代谢物分析。从2009年秋季开始,从研究区域的所有农民那里收集了有关应用实践的附加元信息。除了分析数据和元数据,我们还提供了有关土地利用、土壤和地形的公开空间数据的链接。完整的数据集(包括流量、降水和应用数据)可在https://doi.org/10.5281/zenodo.10189609上获得。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, 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.
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