气候变化领域集成服务门户(CCPortal): Modelling biocide and herbicide concentrations in catchments of the Rhine basin

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DOI	10.5194/hess-22-4229-2018
	Modelling biocide and herbicide concentrations in catchments of the Rhine basin
	Moser A.; Wemyss D.; Scheidegger R.; Fenicia F.; Honti M.; Stamm C.
发表日期	2018
ISSN	1027-5606
起始页码	4229
结束页码	4249
卷号	22 期号:8
英文摘要	Impairment of water quality by organic micropollutants such as pesticides, pharmaceuticals or household chemicals is a problem in many catchments worldwide. These chemicals originate from different urban and agricultural usages and are transferred to surface waters from point or diffuse sources by a number of transport pathways. The quantification of this form of pollution in streams is challenging and especially demanding for diffuse pollution due to the high spatio-temporal concentration dynamics, which require large sampling and analytical efforts to obtain representative data on the actual water quality.Models can also be used to predict to what degree streams are affected by these pollutants. However, spatially distributed modelling of water quality is challenging for a number of reasons. Key issues are the lack of such models that incorporate both urban and agricultural sources of organic micropollutants, the large number of parameters to be estimated for many available water quality models, and the difficulty to transfer parameter estimates from calibration sites to areas where predictions are needed.To overcome these difficulties, we used the parsimonious iWaQa model that simulates herbicide transport from agricultural fields and diffuse biocide losses from urban areas (mainly façades and roof materials) and tested its predictive capabilities in the Rhine River basin. The model only requires between one and eight global model parameters per compound that need to be calibrated. Most of the data requirements relate to spatially distributed land use and comprehensive time series of precipitation, air temperature and spatial data on discharge. For larger catchments, routing was explicitly considered by coupling the iWaQa to the AQUASIM model.The model was calibrated with datasets from three different small catchments (0.5-24.6 km2) for three agricultural herbicides (isoproturon, S-metolachlor, terbuthylazine) and two urban biocides (carbendazim, diuron). Subsequently, it was validated for herbicides and biocides in Switzerland for different years on 12 catchments of much larger size (31-35 899 km2) and for herbicides for the entire Rhine basin upstream of the Dutch-German border (160 000 km2) without any modification. For most compound-catchment combinations, the model predictions revealed a satisfactory correlation (median r2: 0.5) with the observations. The peak concentrations were mostly predicted within a factor of 2 to 4 (median: 2.1 fold difference for herbicides and 3.2 for biocides respectively). The seasonality of the peak concentration was also well simulated; the predictions of the actual timing of peak concentrations, however, was generally poor.Limited spatio-temporal data, first on the use of the selected pesticides and second on their concentrations in the river network, restrict the possibilities to scrutinize model performance. Nevertheless, the results strongly suggest that input data and model structure are major sources of predictive uncertainty. The latter is for example seen in background concentrations that are systematically overestimated in certain regions, which is most probably linked to the modelled coupling of background concentrations to land use intensity.Despite these limitations the findings indicate that key drivers and processes are reasonably well approximated by the model and that such a simple model that includes land use as a proxy for compound use, weather data for the timing of herbicide applications and discharge or precipitation as drivers for transport is sufficient to predict the timing and level of peak concentrations within a factor of 2 to 3 in a spatially distributed manner at the scale of large river basins. © 2018 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	Agriculture; Catchments; Forecasting; Herbicides; Land use; Organic chemicals; Rivers; Runoff; Spatial distribution; Urban growth; Urban transportation; Urea; Water quality; Watersheds; Weed control; Background concentration; Distributed modelling; Herbicide application; Herbicide concentration; Organic micro-pollutants; Predictive capabilities; Predictive uncertainty; Spatio-temporal data; River pollution; background level; catchment; concentration (composition); herbicide; human activity; hydrological modeling; organic pollutant; pesticide; pollutant transport; seasonality; stream; urban pollution; water pollution; water quality; Rhine Basin; Switzerland
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159947
作者单位	Moser, A., Eawag - Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Wemyss, D., Eawag - Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland, ZHAW School of Management and Law, Winterthur, 8400, Switzerland; Scheidegger, R., Eawag - Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Fenicia, F., Eawag - Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland; Honti, M., MTA-BME Water Research Group, Hungarian Academy of Sciences, Budapest, 1111, Hungary; Stamm, C., Eawag - Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, 8600, Switzerland
推荐引用方式 GB/T 7714	Moser A.,Wemyss D.,Scheidegger R.,et al. Modelling biocide and herbicide concentrations in catchments of the Rhine basin[J],2018,22(8).
APA	Moser A.,Wemyss D.,Scheidegger R.,Fenicia F.,Honti M.,&Stamm C..(2018).Modelling biocide and herbicide concentrations in catchments of the Rhine basin.Hydrology and Earth System Sciences,22(8).
MLA	Moser A.,et al."Modelling biocide and herbicide concentrations in catchments of the Rhine basin".Hydrology and Earth System Sciences 22.8(2018).