Retention Efficiency of Vegetative Filter Strips for Nitrogen in Danjiangkou Reservoir Area, Central China

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To investigate the retention efficiency and mechanism of nitrogen of Vegetative filter strips (VFSs) in the Danjiangkou Reservoir area, simulated runoff discharging experiments were carried out in a new-established Bermuda VFS. The results showed that the Bermuda VFS reduced 73.1-86.1 % of surface runoff through infiltration. The outflow rate of runoff increased first and then became stable with time. The concentration reduction rates (CRRs) and load reduction rates (LRRs) of NH3-N increased initially and then decreased with the increase of inflow concentration. The average CRRs and LRRs of NH3-N in three treatments ranged 66.1-90.3 % and 90.0-96.7 %, respectively. The concentration reduction of NH3-N was primarily achieved by soil adsorption. The optimal inflow concentration of NH3-N for the optimum CRR was between 0.65 and 3.52 mg/dm3. The CRRs and LRRs of NO3-N fluctuated between 6.8-14.0 % and 72.0-77.9 % in three treatments. The concentration reduction of NO3-N was primarily achieved by plant uptake and soil microbe assimilation. The optimal inflow concentration of NO3-N for optimum CRR exceeded 6.78 mg/dm3. The CRRs and LRRs of TN increased with the increase of inflow concentrations. The average CRRs in the low, moderate and high treatments reached 9.7, 14.8 and 27.4 %, respectively, and the average LRRs reached 72.1, 74.3 and 81.2 %, respectively. The optimal inflow concentration of TN for optimum CRR exceeded 10.21 mg/dm3. The study showed that Bermuda grass can retain nitrogen in runoff efficiently and should be promoted around the Danjiangkou reservoir.

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  • [1] Cai JL Varis L Yin H. China’s water resources vulnerability: A spatio-temporal analysis during 2003-2013. J Clean Prod. 2017;142:2901-2910. DOI: 10.1016/j.jclepro.2016.10.180.

  • [2] Liu W Liu L Tong F. Least squares support vector machine for ranking solutions of multi-objective water resources allocation optimization models. Water. 2017;9:257. DOI: 10.3390/w9040257.

  • [3] Ding X Chong X Bao Z Xue Y Zhang S. Fuzzy comprehensive assessment method based on the entropy weight method and its application in the water environmental safety evaluation of the Heshangshan drinking water source area Three Gorges reservoir area China. Water. 2017;9:329. DOI:10.3390/w9050329.

  • [4] Hanrahan M Jnr BD. The rocky path to source water protection: a cross-case analysis of drinking water crises in small communities in Canada. Water. 2017;9:388. DOI: 10.3390/w9060388.

  • [5] Ding X Xue Y Lin M Jiang G. Influence mechanisms of rainfall and terrain characteristics on total nitrogen losses from regosol. Water. 2017;9:167. DOI: 10.3390/w9030167.

  • [6] Alvarez S Asci S Vorotnikova E. Valuing the potential benefits of water quality improvements in watersheds affected by non-point source pollution. Water. 2016;8:112. DOI: 10.3390/w8040112.

  • [7] Xin XK Li KF Brian F Yin W. Evaluation prediction and protection of water quality in Danjiangkou Reservoir China. Water Sci Eng. 2015;8:30-39. DOI: 10.1016/j.wse.2014.11.001.

  • [8] Mekonnen M Keesstra SD Ritsema CJ Stroosnijder L Baartman JEM. Sediment trapping with indigenous vegetation types showing differences in plant traits in northwest Ethiopia. Catena. 2016;14:755-763. DOI: 10.1016/j.catena.2016.08.036.

  • [9] Lobo GP Bonilla CA. A modeling approach to determining the relationship between vegetative filter strip design and sediment composition. Agric Ecosyst Environ. 2017;237:45-54. DOI: 10.1016/j.agee.2016.12.027.

  • [10] Olilo CO Onyando JO Moturi WN Muia AW Roegner AF Ogari Z et al. Composition and design of vegetative filter strips instrumental in improving water quality by mass reduction of suspended sediment nutrients and Escherichia coli in overland flows in eastern escarpment of Mau Forest Njoro River Watershed Kenya. Energy Ecol Environ. 2016;1:386-407. DOI: 10.1007/s40974-016-0032-9.

  • [11] Dillaha TA Sherrard JH Lee D. Long-term effectiveness of vegetative filter strips. Water Environ Technol. 1989;1:419-421.

  • [12] Wilson LG. Sediment removal from flood water by grass filtration. Trans ASAE. 1967;10:35-37. DOI: 10.13031/2013.39587.

  • [13] Naiman RJ Decampa H. The ecology of interface: riparian zones. Ann Rev Ecol Syst. 1997;28:621-658. DOI: 10.1146/annurev.ecolsys.28.1.621.

  • [14] Environmental Protection Agency (EPA). National management measures to protect and restore wetlands and riparian areas for the abatement of nonpoint source pollution. In: National Management Measures to Protect and Restore Wetlands and Riparian Areas for the Abatement of Nonpoint Source Pollution. 2005 61-80. EPA 841-B-05-003.

  • [15] Munoz-Carpena R Parsons JE. VFSMOD-W Vegetative filter strips modeling system: model documentation and user’s manual version 6. Gainesville FL. USA: University of Florida; 2014.

  • [16] Mohamad A Fulazzaky Mohd HK Badronnisa YJ. Sediment traps from synthetic construction site storm water runoff by grassed filter strip. J Hydrol. 2013; 502: 53-61. DOI: 10.1016/j.jhydrol.2013.08.019.

  • [17] Kuo YM Muñoz-Carpena R. Simplified modeling of phosphorus removal by vegetative filter strips to control runoff pollution from phosphate mining areas. J Hydrol. 2009;378:343-354. DOI: 10.1016/j.jhydrol.2009.09.039.

  • [18] Faulkner JW Zhang W Geohring LD Steenhuis TS. Nutrient transport within three vegetative treatment areas receiving silage bunker runoff. J Environ Manage. 2011;92:587-595. DOI: 10.1016/j.jenvman.2010.09.020.

  • [19] Shin J Gil K. Environ. Effect of rainfall characteristics on removal efficiency evaluation in vegetative filter strips. Earth Sci. 2014;72:601-607. DOI: 10.1007/s12665-013-2995-6.

  • [20] Santin FM Silva RVD Grzybowski JMV. Artificial neural network ensembles and the design of performance-oriented riparian buffer strips for the filtering of nitrogen in agricultural catchments. Ecol Eng. 2016;94:493-502. DOI: 10.1016/j.ecoleng.2016.06.008.

  • [21] Bhattarai R Kalita PK Patel MK. Nitrogen and carbon dynamics in prairie vegetation strips across topographical gradients in mixed Central Iowa agroecosystems. J Environ Manage. 2009;90:1868-1876. DOI: 10.1016/j.jenvman.2008.12.010.

  • [22] Pérez-Suárez M Castellano MJ Kolka R Asbjornsen H Helmers M. Nitrogen and carbon dynamics in prairie vegetation strips across topographical gradients in mixed Central Iowa agroecosystems. Agric Ecosyst Environ. 2014;188:1-11. DOI: 10.1016/j.agee.2014.01.023.

  • [23] Carluer N Lauvernet C Noll D Munoz-Carpena R. Defining context-specific scenarios to design vegetated buffer zones that limit pesticide transfer via surface runoff. Sci Total Environ. 2017;575:701-712. DOI: 10.1016/j.scitotenv.2016.09.105.

  • [24] Boyd PM Baker JL Mickelson SK Ahmed SI. Trans. Pesticide transport with surface runoff and subsurface drainage through a vegetative filter strip. ASAE. 2003;46:675-684. DOI: 10.13031/2013.13602.

  • [25] Helmers MJ Eisenhauer DE Eisenhauer MG Dosskey TG Franti JM Brothers MC. Flow pathways and sediment trapping in a field scale vegetative filter. Trans. ASAE. 2005;48:955-968. DOI: 10.13031/2013.18508.

  • [26] Mickelson SK Baker JL Ahmed SI. Vegetative filter strips for reducing atrazine and sediment runoff transport. J Soil Water Conserv. 2003;58:359-367. DOI: 10.2489/jswc.58.6.359.short.

  • [27] Humberto BC Gantzer CJ Anderson SH Alberts EE Thompson AL. Grass barrier and vegetative filter strip effectiveness in reducing runoff sediment nitrogen and phosphorus loss. Soil Sci Soc Am J. 2004;68:1670-1678. DOI: 10.2134/jeq2006.0073.

  • [28] Chanasyk DS Mapfumo E Willms W. Quantification and simulation of surface runoff from fescue grassland watersheds. Agric Water Manage. 2003;592:137-153. DOI: 10.1016/S0378-3774(02)00124-5.

  • [29] Magette WL Brinsfield RB Palmer RE Charles R. Nutrient and sediment removal by vegetated filter strips. Trans ASAE. 1989;32:663-667. DOI: 10.13031/2013.31054.

  • [30] Eghball B Gilley JE Kramer LA Moorman TB. Narrow grass hedge effects on phosphorus and nitrogen in runoff following manure and fertilizer application. J Soil Water Conserv. 2000;55:172-176. DOI: 10.2489/jswc.55.2.172.short.

  • [31] Otto S Vianello M Infantino A Zanin G Guardo AD. Effect of a full-grown vegetative filter strip on herbicide runoff: Maintaining of filter capacity over time. Chemosphere.2008;71:74-82. DOI: 10.1016/j.chemosphere.2007.10.029.

  • [32] Wanyama J Herremans K Maetens W Isabirye M Kahimba F Kimaro D et al. Effectiveness of tropical vegetation types as sediment filters in the riparian zone of Lake Victoria. Soil Use Manage. 2012;28:409-418. DOI: 10.1111/j.1475-2743.2012.00409.x.

  • [33] Duan L Huang M Zhang L. Differences in hydrological responses for different vegetation types on a steep slope on the Loess Plateau China. J Hydrol. 2016;537:35-366. DOI: 10.1016/j.jhydrol.2016.03.057.

  • [34] Xiao B Wang QH Wang HF Dai QH Wu JY. Effects of narrow grass hedges on soil and water loss on sloping lands with alfalfa (Medicago sativa L.) in Northern China. Geoderma. 2011;167-168:91-102. DOI: 10.1016/j.geoderma.2011.09.010.

  • [35] Dass A Sudhishri S Lenka NK Patnaik US. Runoff capture through vegetative barriers and planting methodologies to reduce erosion and improve soil moisture fertility and crop productivity in southern Orissa India. Nutr Cycling Agroecosyst. 2011;89:45-57. DOI: 10.1007/s10705-010-9375-3.

  • [36] Rankins A Shaw Dr Boyette M. Perennial grass filter strips for reducing herbicide losses in runoff. Weed Sci. 2001;49:647-651. DOI: 10.1614/0043-1745(2001)049[0647: PGFSFR]2.0.CO;2.

  • [37] Peak S Gil K. Correlation analysis of factors affecting removal efficiency in vegetative filter strips. Environ Earth Sci. 2016;75:38. DOI: 10.1007/s12665-015-4834-4.

  • [38] Deska I Mrowiec M Ociepa E Łacisz K. Investigation of the influence of hydrogel amendment on the retention capacities of green roofs. Ecol Chem Eng S. 2018;25:373-382. DOI: 10.1515/eces-2018-0025.

  • [39] Vought LB-M Pinay G Fuglsang A Ruffinoni C. Structure and function of buffer strips from a water quality perspective in agriculture landscape. Landsc Urban Plann. 1995;31:323-331. DOI: 10.1016/0169-2046(94)01057-F.

  • [40] Bunch ND Bernot MJ. Nitrate and ammonium uptake by natural stream sediment microbial communities in response to nutrient enrichment. Res Microb. 2012;163:137-141. DOI: 10.1016/j.resmic.2011.11.004.

  • [41] Yao F Sun JB Tang CQ Ni WH. Kinetics of ammonium nitrate and phosphate uptake by candidate plants used in constructed wetlands. Proc Environ Sci. 2011;10:1854-1861. DOI: 10.1016/j.proenv.2011.09.290.

  • [42] Barber SA. A diffusion and mass-flow concept of soil nutrient availability. Soil Sci. 1962;93:39-49. DOI: 10.1097/00010694-196201000-00007.

  • [43] Zhao W Li Y Zhao Q Ning ZG Zhou CF Wang H et al. Adsorption and desorption characteristics of ammonium in eight loams irrigated with reclaimed wastewater from intensive hogpen. Environ Earth Sci. 2013;69:41-49. DOI: 10.1007/s12665-012-1932-4.

  • [44] Patrick WH Tusneem ME. Nitrogen loss from flooded soil. Ecology. 1972;53:735-737. DOI: 10.2307/1934793.

  • [45] Knowles R. Denitrification. Ecol Bull. 1981;33:315-329.

  • [46] Chaubey I Edwards DR Daniel TC Moore Jr PA Nichols DJ. Effectiveness of vegetative filter strips in retaining surface-applied swine manure constituents. Trans ASAE. 1994;37:845-850. DOI: 10.13031/2013.28149.

  • [47] Schmitt TJ Dosskey MG Hoagland KD. Filter strip performance and processes for different vegetation widths and contaminants. J Environ Qual. 1999;28:1479-1489. DOI: 10.2134/jeq1999.00472425002800050013x.

  • [48] Helmers MJ Isenhart TM Dosskey MG Dabney SM Strock JS. Buffers and vegetative filter strips. In UMRSHNC (Upper Mississippi River Sub-basin Hypoxia Nutrient Committee). Final Report: Gulf Hypoxia and Local Water Quality Concerns Workshop. ASABE. St. Joseph Michigan 2008; 45-58.

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