Buffer zones to improve water quality: a review of their potential use in UK agriculture

Muscutt, A.D.; Harris, G. L.; Bailey, Steven W.; Davies, D. B.

doi:10.1016/0167-8809(93)90059-x

Cited by 214 publications

(105 citation statements)

References 43 publications

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“…The dense vegetation-soil system reduces runoff pollutants in three ways by increasing (a) soil infiltration that reduces total runoff volume (and dissolved runoff pollutants), (b) surface roughness that reduces surface velocity and produces settling of sediment and sediment-bonded pollutants, and (c) contact between dissolved and particulate pollutants with the soil and vegetation surfaces that enhances their removal from runoff (Muscutt et al, 1993;Muñoz-Carpena et al, 1999Dosskey, 2001;Yu et al, 2013;Lambretchs et al, 2014;Wu et al, 2014). The efficiency of VFS in trapping pollutants is heavily influenced by the highly variable spatial and temporal dynamics introduced by site-specific combinations of soil, climate, vegetation, and human land use.…”

Section: Introductionmentioning

confidence: 99%

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

Muñoz‐Carpena

Lauvernet

Carluer

2018

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation buffers like vegetative filter strips (VFSs) are often used to protect water bodies from surface runoff pollution from disturbed areas. Their typical placement in floodplains often results in the presence of a seasonal shallow water table (WT) that can decrease soil infiltration and increase surface pollutant transport during a rainfallrunoff event. Simple and robust components of hydrological models are needed to analyze the impacts of WT in the landscape. To simulate VFS infiltration under realistic rainfall conditions with WT, we propose a generic infiltration solution (Shallow Water table INfiltration algorithm: SWINGO) based on a combination of approaches by Salvucci and Entekhabi (1995) and Chu (1997) with new integral formulae to calculate singular times (time of ponding, shift time, and time to soil profile saturation). The algorithm was tested successfully on five distinct soils, both against Richards's numerical solution and experimental data in terms of infiltration and soil moisture redistribution predictions, and applied to study the combined effects of varying WT depth, soil type, and rainfall intensity and duration. The results show the robustness of the algorithm and its ability to handle various soil hydraulic functions and initial nonponding conditions under unsteady rainfall. The effect of a WT on infiltration under ponded conditions was found to be effectively decoupled from surface infiltration and excess runoff processes for depths larger than 1.2 to 2 m, being shallower for fine soils and shorter events. For nonponded initial conditions, the influence of WT depth also varies with rainfall intensity. Also, we observed that soils with a marked air entry (bubbling pressure) exhibit a distinct behavior with WT near the surface. The good performance, robustness, and flexibility of SWINGO supports its broader use to study WT effects on surface runoff, infiltration, flooding, transport, ecological, and land use processes. SWINGO is coupled with an existing VFS model in the companion paper (Lauvernet and Muñoz-Carpena, 2018), where the potential effects of seasonal or permanent WTs on VFS sediment and pesticide trapping are studied.

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Section: Introductionmentioning

confidence: 99%

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

Muñoz‐Carpena

Lauvernet

Carluer

2018

Hydrol. Earth Syst. Sci.

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“…Although technologies applied in pond farming show great diversity, semi-intensive polyculture remains the dominant form of pond management practice in the Czech Republic and, more generally, in Central and Eastern Europe. The combination of increasing municipal, industrial and agricultural sources of pollution and eutrophication with such intensification measures, however, has resulted in extremely high nutrient input into pond ecosystems since the last decades of the 20th century (Fasaic et al 1989, Muscutt et al 1993. Despite pond manuring and fertilisation being severely restricted by law in Czech fish ponds at present, fish feeding (though limited) and stocking density are still frequently blamed by nature protection and water management agencies for significant deterioration in discharged water quality.…”

Section: Introductionmentioning

confidence: 99%

Effects of Semi-Intensive Carp Pond Farming on Discharged Water Quality

Všetičková¹,

Adámek²,

Rozkošný³

et al. 2012

Acta Icth et Piscat

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Všetičková L., Adámek Z., Rozkošný M., Sedláček P. 2012. Effects of semi-intensive carp pond farming on discharged water quality. Acta Ichthyol. Piscat. 42 (3): 223-231.Background. Fish pond management can substantially modify the hydrological regime and ecological quality of receiving waters (usually rivers, canals, and ponds downstream in an interconnected system) with potentially positive or negative impacts on watershed functioning. To evaluate these effects with respect to carp pond management, the environmental impacts of semi-intensive farming on discharged water quality were monitored at four differently managed carp ponds, differing in trophic status (two eutrophic and two hypertrophic ponds). Materials and methods. Fundamental determinants of pond inflow and outflow water quality were monitored monthly from April to October 2009. Water temperature, pH, and dissolved oxygen concentration and saturation were measured in situ whilst hydrochemical and microbiological parameters were assessed in the laboratory.Results. Compared to the inflow water, in the effluents there was a significant decline in numbers of bacterial loading indicators (Escherichia coli, enterococci, faecal coliform and mesophilic bacteria) in the outflow water. In ponds with the poor quality inflow water (downstream of water treatment plant discharges), a significant decrease was also registered in nutrients (N-NH 4 , N-NO 3 , total nitrogen, P-PO 4 , and total phosphorus) and organic loads? (five-day biological oxygen demand, chemical oxygen demand) of pond effluents. At the pond supplied with good quality river water, however, the same determinants showed that effluent water quality worsened significantly. Total organic carbon and suspended solids increased in effluents of ponds with high fish biomass stocked.Conclusion. The results demonstrate that, during the growing season, properly managed carp ponds represent ecosystems with high self-cleaning ability. They may play an important role in the nutrient balance, storage and trapping in agricultural landscape with high population density.

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“…Surface and subsurface runoff is a major mechanism for transporting sediments, fertilizers and pesticides to ground or surface water [1]. Organic forms and inorganic forms of N are transported with sediments and debris.…”

Section: Introductionmentioning

confidence: 99%

Finite Element Simulation of Total Nitrogen Transport in Riparian Buffer in an Agricultural Watershed

Lin

Tang

et al. 2016

Sustainability

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Riparian buffers can influence water quality in downstream lakes or rivers by buffering non-point source pollution in upstream agricultural fields. With increasing nitrogen (N) pollution in small agricultural watersheds, a major function of riparian buffers is to retain N in the soil. A series of field experiments were conducted to monitor pollutant transport in riparian buffers of small watersheds, while numerical model-based analysis is scarce. In this study, we set up a field experiment to monitor the retention rates of total N in different widths of buffer strips and used a finite element model (HYDRUS 2D/3D) to simulate the total N transport in the riparian buffer of an agricultural non-point source polluted area in the Liaohe River basin. The field experiment retention rates for total N were 19.4%, 26.6%, 29.5%, and 42.9% in 1,3,4, and 6m-wide buffer strips, respectively. Throughout the simulation period, the concentration of total N of the 1mwide buffer strip reached a maximum of 1.27 mg/cm 3 at 30 min, decreasing before leveling off. The concentration of total N about the 3mwide buffer strip consistently increased, with a maximum of 1.05 mg/cm 3 observed at 60 min. Under rainfall infiltration, the buffer strips of different widths showed a retention effect on total N transport, and the optimum effect was simulated in the 6mwide buffer strip. A comparison between measured and simulated data revealed that finite element simulation could simulate N transport in the soil of riparian buffer strips.

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Buffer zones to improve water quality: a review of their potential use in UK agriculture

Cited by 214 publications

References 43 publications

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

Effects of Semi-Intensive Carp Pond Farming on Discharged Water Quality

Finite Element Simulation of Total Nitrogen Transport in Riparian Buffer in an Agricultural Watershed

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