Significance of urban and agricultural land use for biocide and pesticide dynamics in surface waters

Wittmer, Irene; Bader, Hans-Peter; Scheidegger, Ruth; Singer, Heinz; Lück, A.; Hanke, Irene; Carlsson, Carina; Stamm, Christian

doi:10.1016/j.watres.2010.01.030

Cited by 235 publications

(188 citation statements)

References 28 publications

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“…In agricultural landscapes, the amount of pesticides contaminating surface water also depends on the methods and levels of application, and more generally on agricultural practice (Huber et al, 2000). Finally, in a recent paper of Wittmer et al (2010), it has been shown that five types of pesticide concentration patterns in surface water samples can be distinguished, and that these patterns reveal the relative contributions made by urban and agricultural land to the contamination of water by herbicides. This paper also showed that in mixed land use catchment areas, the contamination of surface water by biocides from urban areas was at least as great as that from agricultural areas.…”

Section: General Aspectsmentioning

confidence: 99%

Herbicide Contamination of Freshwater Ecosystems: Impact on Microbial Communities

Villeneuve¹,

Larroudé²,

Humbert³

2011

Pesticides - Formulations, Effects, Fate

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Section: General Aspectsmentioning

confidence: 99%

Herbicide Contamination of Freshwater Ecosystems: Impact on Microbial Communities

Villeneuve¹,

Larroudé²,

Humbert³

2011

Pesticides - Formulations, Effects, Fate

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“…Although pesticides may be ecotoxicologically relevant chemicals even in treated wastewater discharged from point sources (Munz et al, 2017;Müller et al, 2002), diffuse pollution is often dominant for these compounds (Moschet et al, 2014). The quantification of this form of pollution in streams is challenging due to the high spatio-temporal concentration dynamics, which require large sampling and analytical efforts (e.g., Wittmer et al, 2010;Leu et al, 2004b).…”

Section: Introductionmentioning

confidence: 99%

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Möser

Wemyss

Scheidegger

et al. 2018

Hydrol. Earth Syst. Sci.

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Abstract. 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 km 2 ) 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 km 2 ) and for herbicides for the entire Rhine basin upstream of the Dutch-German border (160 000 km 2 ) without any modification. For most compound-catchment combinations, the model predictions revealed a satisfactory correlation (median r 2 : 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 exampl...

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“…Both reduce pressure on urban storm water systems that are at capacity in many of our cities (Agudelo-Vera, Mels, Kessman, & Rijnaarts, 2011;James, Magee, Scerri, & Steger, 2015;Lovell, 2010;). When food is produced in densely populated urban communities rather than in sparsely populated rural areas, issues like integrative pest management and mitigating heat islands must also come into focus (Li, Bou-Zeid, & Oppenheimer, 2014;Wittmer et al, 2010). The four components of the UDC Food Hub address these complex connections:…”

Section: What Is An Urban Food Hub?mentioning

confidence: 99%

The Urban Food Hubs Solution: Building Capacity in Urban Communities

O’Hara¹

2017

MUJ

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Access to affordable fresh food is an ongoing challenge for underserved urban neighborhoods across the United States. Several are designated food deserts with no access to a full-service grocery store within a one-mile radius. The Urban Food Hubs of the College of Agriculture, Urban Sustainability, and Environmental Sciences (CAUSES) of the University of the District of Columbia (UDC) exemplify the University's commitment to building capacity in the food desert neighborhoods of Washington D.C. The four components of the Urban Food Hubs are food production, food preparation, food distribution, and waste and water recovery (http://www.udc.edu/category/causes). They are designed to not only provide access to fresh food, but also to create jobs, improve public health, mitigate water management problems, and create urban resiliency. The contributions in economic, social/cultural, and physical/environmental impacts, and the five pillars of economic development that track the broader impacts of urban capacity building are described here. The Urban Food Hubs demonstrate the investment metropolitan universities could make to ensure the long-term economic, social, and environmental health of each community. The model is scalable and replicable in other metropolitan areas, including those that experience high pressure on land-use and those experiencing decline.

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Significance of urban and agricultural land use for biocide and pesticide dynamics in surface waters

Cited by 235 publications

References 28 publications

Herbicide Contamination of Freshwater Ecosystems: Impact on Microbial Communities

Herbicide Contamination of Freshwater Ecosystems: Impact on Microbial Communities

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

The Urban Food Hubs Solution: Building Capacity in Urban Communities

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