Skip to main content

Advertisement

Log in

Modeling impacts of sediment delivery ratio and land management on adsorbed non-point source nitrogen and phosphorus load in a mountainous basin of the Three Gorges reservoir area, China

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Agricultural nonpoint source (NPS) pollution at the Three Gorges reservoir area in China has been increasingly recognized as a threat to aquatic environment in recent years due to the serious eutrophication problem. Adsorbed NPS pollution is one of the major forms of NPS pollution in mountainous regions, the essential of the adsorbed NPS pollution is soil loss. Thus, simple, highly sensitive and continuous methods are required to simulate and quantify sediments yield at watershed scales. It is imperative to construct an integrated model to estimate the sediment yield and adsorbed NPS pollution load. According to the characteristics of climate, hydrology, topography, geology, geomorphology and land use types in Three Gorges reservoir area, a GIS-based dynamic-integrated-distributed model of annual adsorbed NPS load was presented in view of impacts of the rainfall intensity, sediment delivery ratio (SDR) and land management, where the temporally dynamic-continuous model of annual sediment yield was established by modifying the revised Universal Soil Loss Equation (RUSLE), and the spatially integrated-distributed model of annual adsorbed NPS load was then developed via the correlation between sediment yield and adsorbed NPS load. Furthermore, a case study of the Jialing River basin in China was applied to validate the integrated model, the dynamic-distributed coupling among GIS technology, sediment yield model, and adsorbed NPS load model was achieved successfully. The simulation results demonstrate the following: (1) runoff and sediment are influenced greatly by rainfall intensity, SDR and vegetation cover; rainfall and land management show high sensitivities to the integrated model; the average annual adsorbed TN and TP pollution loads from 2006 to 2010 decreased by 76 and 74 % compared with the previous treatment (1990), respectively. (2) Spatio-temporal variations of adsorbed NPS nitrogen and phosphorus load are mainly related to different land use types and the background level of nutriments in topsoil; different land use types have different contribution rates; the largest contribution rates of adsorbed total nitrogen (TN, 58.9 %) and total phosphorus (TP, 53 %) loads are both from the dryland cropland. (3) The identification of critical source areas can help to implement the prevention and control measures aiming at the reduction of water environmental pollution. These results will provide useful and valuable information for decision makers and planners to take sustainable land use management and soil conservation measures for the control of sediment pollution in the Three Gorges reservoir area. The application of this model in the catchment shows that the integrated model may be used as a major tool to assess sediment yield risks and adsorbed NPS pollution load at mountainous watersheds.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  • Angima SD, Stott DE, O’Neill MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agric Ecosys Environ 97:295–308

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment, part I: model development. J Am Water Resour Assoc 34:73–89

    Article  Google Scholar 

  • Beasley DB, Huggins LF, Monke EJ (1982) Modeling sediment yield from agricultural watersheds. J Soil Water Conserv 37:113–117

    Google Scholar 

  • Beguería S, Angulo-Martínez M (2012) Do atmospheric teleconnection patterns influence rainfall erosivity? A study of NAO, MO and WeMO in NE Spain, 1955–2006. J Hydrol 450–451:168–179

    Google Scholar 

  • Beskow S, Mello CR, Norton LD, Curi N, Viola MR, Avanzi JC (2009) Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling. Catena 79:49–59

    Article  Google Scholar 

  • Bhattarai R, Dutta D (2007) Estimation of soil erosion and sediment yield using GIS at catchment scale. Water Resour Manag 21:1635–1647

    Article  Google Scholar 

  • Borah DK, Yagow G, Saleh A, Barnes PL, Rosenthal W, Krug EC, Hauck LM (2006) Sediment and nutrient modeling for TMDL development and implementation. Transact ASAE 49:967–986

    Google Scholar 

  • Bouraoui F, Dillaha TA (2000) ANSWERS-2000: non-point-source nutrient planning model. J Environ Eng 126(11):1045–1055

    Article  Google Scholar 

  • Bouraoui F, Benabdallah S, Jrad A, Bidoglio G (2005) Application of the SWAT model on the Medjerda river basin (Tunisia). Phys Chem Earth 30:497–507

    Article  Google Scholar 

  • Brown LC, Foster GR (1987) Storm erosivity using idealized intensity distributions. T ASAE 30:379–386

    Google Scholar 

  • Cai CF, Ding SW, Shi ZH, Huang L, Zhang GY (2000) Study of applying USLE and geographical information system IDRISI to predict soil erosion in small watershed. J Soil Water Conserv 14(2):19–24

    Google Scholar 

  • Chai C, Yu ZM, Shen ZL, Song XX, Cao XH, Yao Y (2009) Nutrient characteristics in the Yangtze River Estuary and the adjacent East China Sea before and after impoundment of the Three Gorges Dam. Sci Total Environ 407:4687

    Article  Google Scholar 

  • Chiaudani T, Premazzi G (1998) Enviroment and quality of life. Water Quality Criteria in Environmental Management. Rep. EUR 116387. Commission of European Communities, Luxembourg

  • Cohen MJ, Shepherd KD, Walsh MG (2005) Empirical reformation of the universal soil loss equation for erosion risk assessment in a tropical watershed. Geoderma 124:235–252

    Article  Google Scholar 

  • COST634 (2005) On-and Off-Site Environmental Impacts of Runoff and Erosion, European Cooperation in the Field of Scientific and Technical Research, http://www.soilerosion.net/cost634/

  • Crosson P (1997) Will erosion threaten agricultural productivity. Environment 39:4–31

    Article  Google Scholar 

  • Dabral PP, Baithuri N, Pandey A (2008) Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resour Manage 22:1783–1798

    Article  Google Scholar 

  • de Vente J, Poesen J, Verstraeten G (2005) The application of semi-quantitative methods and reservoir sedimentation rates for the prediction of basin sediment yield in Spain. J Hydrol 305:63–86

    Article  Google Scholar 

  • de Vente J, Poesen J, Bazzoffi P, Van Rompaey A, Verstraeten G (2006) Predicting catchment sediment yield in Mediterranean environments: the importance of sediment sources and connectivity in Italian drainage basins. Earth Surf Proc Land 31:1017–1034

    Article  Google Scholar 

  • de Vente J, Poesen J, Verstraeten G, Van Rompaey A, Govers G (2008) Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain. Global Planet Change 60:393–415

    Article  Google Scholar 

  • Delgado MEM, Canters F (2012) Modeling the impacts of agroforestry systems on the spatial patterns of soil erosion risk in three catchments of Claveria, the Philippines. Agroforest Syst 85:411–423

    Article  Google Scholar 

  • Delmas M, Cerdan O, Mouchel JM, Garcin M (2009) A method for developing a large-scale sediment yield index for European river basins. J Soil Sediment 9:613–626

    Article  Google Scholar 

  • Demirci A, Karaburun A (2012) Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed, northwest Turkey. Environ Earth Sci 66:903–913

    Article  Google Scholar 

  • Deog Park S, Song Lee K, Sook Shin S (2012) Statistical soil erosion model for burnt mountain areas in Korea—RUSLE Approach. J Hydrol Eng 17(2):292–304

    Article  Google Scholar 

  • Desmet PJJ, Govers G (1996) A GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J Soil Water Conserv 51:427–433

    Google Scholar 

  • Diodato N, Bellocchi G (2009) Assessing and modelling changes in rainfall erosivity at different climate scales. Earth Surf Proc Land 34:969–980

    Article  Google Scholar 

  • Diodato N, Gericke A, Bellocchi G (2012) Modelling the inter-annual variability of sediment yields: a case study for the upper Lech River. Catena 97:12–19

    Article  Google Scholar 

  • Ferro V (1997) Further remarks on a distributed approach to sediment delivery. Hydrol Sci J 42(5):63–647

    Article  Google Scholar 

  • Ferro V, Minacapilli M (1995) Sediment delivery processes at basin scale. Hydrol Sci J 40(6):703–717

    Article  Google Scholar 

  • Ferro V, Porto P, Tusa G (1998) Testing a distributed approach for modeling sediment delivery. Hydrol Sci J 43(3):425–442

    Article  Google Scholar 

  • Flanagan DC, Nearing MA (1995) USDA–water erosion prediction project: hillslope profile and watershed model documentation. NSERL report no. 10. West Lafayette

  • Flipo N, Jeannée N, Poulin M, Even S, Ledoux E (2007) Assessment of nitrate pollution in the Grand Morin aquifers (France): combined use of geostatistics and physically based modeling. Environ Pollut 146:241–256

    Article  Google Scholar 

  • Fournier H (1960) Climat et erosion. Ed. Presses Universitaires de France, Paris

    Google Scholar 

  • Fu T (2002) Slope soil erosion Mechanism and prediction evaluation modeling of the Three Gorges reservoir area. Southwest University, Chongqing

    Google Scholar 

  • Fu GB, Chen SL, McCool DK (2006) Modeling the impacts of no-till practice on soil erosion and sediment yield with RUSLE, SEDD, and ArcView GIS. Soil Tillage Res 85:38–49

    Article  Google Scholar 

  • Gao XB, Sun HC, Zhao YJ, Gao ZL (2007) Sediment delivery ratio and spatial scale effect of small watershed in the hilly area of central Sichuan province. Bull Soil Water Conserv 27(6),130–133, 151

    Google Scholar 

  • Gao GY, Fu BJ, Lü YH, Liu Y, Wang S, Zhou J (2012) Coupling the modified SCS-CN and RUSLE models to simulate hydrological effects of restoring vegetation in the Loess Plateau of China. Hydrol Earth Syst Sci 16:2347–2364

    Article  Google Scholar 

  • González-Botello MA, Bullock SH (2012) Erosion-reducing cover in semi-arid shrubland. J Arid Environ 84:19–25

    Article  Google Scholar 

  • Gronsten HA, Lundekvam H (2006) Prediction of surface runoff and soil loss in southeastern Norway using the WEPP Hillslope model. Soil Till Res 85:186–199

    Article  Google Scholar 

  • Heckrath G, Brookes PC, Poulton PR, Goulding KWT (1995) Phosphorus leaching from soils containing different phosphorus concentrations in the broadbalk experiment. J Environ Qual 24:904–910

    Article  Google Scholar 

  • Hong HS, Huang JL, Cao WZ (2008) Agricultural non-point source pollution mechanism and control research in Jiulong river watershed. Science Press, Beijing

    Google Scholar 

  • Huang SF, Zhong SN, Xu M (2001) Categorical model of estimating soil erosion based on GIS—a case study in Xihanshui watershed. J Soil Water Conserv 15:105–107

    Google Scholar 

  • Isermann K (1990) Share of agriculture in nitrogen and phosphorus emission into the surface water of Western Europe against their background of eutrophication. Fertil Res 26:253–269

    Article  Google Scholar 

  • Jasrotia AS, Singh R (2006) Modeling runoff and soil erosion in a catchment area, using the GIS, in the Himalayan region, India. Environ Geol 51:29–37

    Article  Google Scholar 

  • Jing K (2002) Sediment delivery rate in the upper Yangtze River. J Sediment Res 1:53–59

    Google Scholar 

  • Jing K, Wang WZ, Zheng FL (2005) China soil erosion and environment. Science Press, Beijing

    Google Scholar 

  • Jing K, Jiao JY, Li LY (2010) Soil erosion amount and sediment delivery ratio in the hilly purple soil region in the upper reaches of Yangtze River: a case study in the Fujiang River Basin. Sci Soil Water Conserv 8(5):1–7

    Google Scholar 

  • Kinnell PIA (2000) AGNPS-UM: applying the USLE-M within the agricultural non point source pollution model. Environ Model Soft 15:331–341

    Article  Google Scholar 

  • Kinnell PIA (2010) Event soil loss, runoff and the universal soil loss equation family of models: a review. J Hydrol 385:384–397

    Article  Google Scholar 

  • Kirkby MJ, Bracken LJ (2009) Gully processes and gully dynamics. Earth Surf Proc Land 34:1841–1851

    Article  Google Scholar 

  • Knisel WG (1980) CREAMS: a field scale model for chemicals, runoff and erosion from agricultural management systems. Conservation research report no 26 USDA, Washington DC, p 643

  • Kothyari UC, Jain SK (1997) Sediment yield estimation using GIS. Hydrol Sci J 42(6):833–843

    Article  Google Scholar 

  • Krishna Bahadur KC (2009) Mapping soil erosion susceptibility using remote sensing and GIS: a case of the Upper Nam Wa Watershed, Nan Province, Thailand. Environ Geol 57:695–705

    Article  Google Scholar 

  • Li XT, Huang SF, Li L, Li JR, Su DS, Liu T (2006) Remote sensing analysis on soil erosion in the Jialingjiang basin. J Sediment Res 6:65–69

    Google Scholar 

  • Lim KJ, Sagong M, Engel BA, Tang Z, Choi J, Kim KS (2005) GIS-based sediment assessment tool. Catena 64:61–80

    Article  Google Scholar 

  • Liu BY, Nearing MA, Risse LM (1994) Slope gradient effects on soil loss for steep slopes. Transact Am Soc Agric Eng 37:1835–1840

    Google Scholar 

  • Liu RM, Shen ZY, Ding SW, Wu X, Liu F (2008) Application of export coefficient model in simulating pollution load of non-point source in upper reach of Yangtze River Basin. J Agro-Environ Sci 27:677–682

    Google Scholar 

  • López-Vicente M, Lana-Renaul N, García-Ruiz JM, Navas A (2011) Assessing the potential effect of different land cover management practices on sediment yield from an abandoned farmland catchment in the Spanish Pyrenees. J Soils Sediments 11:1440–1455

    Article  Google Scholar 

  • Lu D, Li G, Valladares GS, Batistella M (2004) Mapping soil erosion risk in Rondonia, Brazilian Amazonia: using RUSLE, remote sensing and GIS. Land Degrad Dev 15:49–512

    Article  Google Scholar 

  • Ma X, Li Y, Zhang M, Zheng FZ, Du S (2011) Assessment and analysis of non-point source nitrogen and phosphorus loads in the Three Gorges Reservoir Area of Hubei Province, China. Sci Total Environ 412–413:154–161

    Article  Google Scholar 

  • Maeda EE, Pellikka PKE, Siljander M, Clark BJF (2010) Potential impacts of agricultural expansion and climate change on soil erosion in the Eastern Arc Mountains of Kenya. Geomorphology 123:279–289

    Article  Google Scholar 

  • McCool DK, Foster GR, Mutchler CK (1989) Revised slope length factor in the universal soil loss equation. Transact Am Soc Agric Eng 32:1571–1576

    Google Scholar 

  • McKergow LA, Prosser IP, Hughes AO, Brodie J (2005) Regional scale nutrient modelling: exports to the Great Barrier Reef World Heritage Area. Mar Pollut Bull 51:186–199

    Article  Google Scholar 

  • Merritt WS, Letcher RA, Jakeman AJ (2003) A review of erosion and sediment transport models. Environ Model Soft 18:761–799

    Article  Google Scholar 

  • Mhangara P, Kakembo V, Lim KJ (2012) Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing. Environ Earth Sci 65:2087–2102

    Article  Google Scholar 

  • Migliaccio KW, Srivastava P (2007) Hydrologic components of watershed-scale models. Transact ASABE 50(5):1695–1703

    Google Scholar 

  • Millward AA, Mersey JE (1999) Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38(2):109–129

    Article  Google Scholar 

  • Moore ID, Burch GJ (1986) Physical basis of the length-slope factor in the universal soil loss equation. Soil Sci Soc Am J 50:1294–1298

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part-a discussion of principles. J Hydrol 10:282–290

    Article  Google Scholar 

  • Nearing MA, Foster GR, Lane LJ, Finkne SC (1989) A process-based soil erosion model for USDA-water erosion prediction project technology. Transact ASAE 32:1587–1593

    Google Scholar 

  • Nigel R, Rughooputh S (2010) Mapping of monthly soil erosion risk of mainland Mauritius and its aggregation with delineated basins. Geomorphology 114:101–114

    Article  Google Scholar 

  • Nyakatawa EZ, Jakkula V, Reddy KC, Lemunyon JL, Norris JBE (2007) Soil erosion estimation in conservation tillage systems with poultry litter application using RUSLE 2.0 model. Soil Tillage Res 94:410–419

    Article  Google Scholar 

  • Oguchi T (1997) Drainage density and relative relief in humid steep mountains with frequent slope failure. Earth Surf Proc Land 22:107–120

    Article  Google Scholar 

  • Oguchi T, Jarvie HP, Neal C (2000) River water quality in the Humber catchment: an introduction using GIS-based mapping and analysis. Sci Total Environ 251(252):9–26

    Article  Google Scholar 

  • Pandey A, Chowdary VM, Mal BC (2007) Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resour Manage 21:729–746

    Article  Google Scholar 

  • Polyakov V, Fares A, Kubo D, Jacobi J, Smith C (2007) Evaluation of a non-point source pollution model, AnnAGNPS, in a tropical watershed. Environ Model Soft 22:1617–1627

    Article  Google Scholar 

  • Prasannakumar V, Shiny R, Geetha N, Vijith H (2011) Spatial prediction of soil erosion risk by remote sensing, GIS and RUSLE approach: a case study of Siruvani river watershed in Attapady valley, Kerala, India. Environ Earth Sci 64:965–972

    Article  Google Scholar 

  • Prosser IP, Rustomji P (2000) Sediment transport capacity relations for overland flow. Prog Phys Geogr 24:179–193

    Google Scholar 

  • Renard KG, Freimund JR (1994) Using monthly precipitation data to estimate the R factor in the revised USLE. J Hydrol 157:287–306

    Article  Google Scholar 

  • Renard KG, Foste GR, Yoder DC, McCool DK (1994) RUSLE revisited: status, questions, answers, and the future. J Soil Water Conserv 49(3):213–220

    Google Scholar 

  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE) (p.404). Washington: US Department of Agriculture, Agriculture Handbook, No.703, Agriculture Research Service

  • Restrepo JD, Kjerfve B, Hermelin M, Restrepo JC (2006) Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia. J Hydrol 316:213–232

    Article  Google Scholar 

  • Rodda HJ, Demuth S, Shankar U (1999) The application of a GIS based decision support system to predict nitrate leaching to ground water in south Germany. Hydrol Sci J 44(2):221–236

    Article  Google Scholar 

  • Saygın SD, Basaran M, Ozcan AU, Dolarslan M, Timur OB, Yilman FE, Erpul G (2011) Land degradation assessment by geo-spatially modeling different soil erodibility equations in a semi-arid catchment. Environ Monit Assess 180:201–215

    Article  Google Scholar 

  • Shamsi UM (1996) Storm-water management implementation through modeling and GIS. J Water Resour Plann Manage 122(2):114–127

    Article  Google Scholar 

  • Sharpley AN, Williams JR (1990) EPIC-erosion/productivity impact calculator: model documentation. USDA Technical Bull no 1768. p 235

  • Shen JY, Shi MC (2006) Studies of the influences from the size of DEM grids on topographical factors-take the Badaling Watershed of Yanqing Beijing as an example. Res Soil Water Conserv 13:64–69

    Google Scholar 

  • Shen ZY, Liu RM, Ye M, Ding XW, Xu QG (2008) Characteristics and changing rules of non-point source pollution in upper reach of Yangtze River basin. Science Press, Beijing, pp 93–150

    Google Scholar 

  • Shi KR (1998) Soil loss characteristics, prevention and control measures and implementation results of the Yangtze River watershed. Renmin Changjiang 29(1):41–43

    Google Scholar 

  • Shi ZH, Cai CF, Ding SW, Li ZX, Wang TW, Zhang B, Sheng XL (2002) Research on nitrogen and phosphorus load of agricultural non-point sources in middle and lower reaches of Hanjiang River besed on GIS. Acta Scientiae Circumstantiae 22:473–477

    Google Scholar 

  • Shi XZ, Yu DS, Warner ED, Pan XZ, Petersen GW, Gong ZG, Weindorf DC (2004a) Soil database of 1:1,000,000 digital soil survey and reference system of the Chinese genetic soil classification system. Soil Surv Horizons 45(4):129–136

    Google Scholar 

  • Shi ZH, Cai CF, Ding SW, Wang TW, Chow TL (2004b) Soil conservation planning at the small watershed level using RUSLE with GIS: a case study in the Three Gorge Area of China. Catena 55:33–48

    Article  Google Scholar 

  • Shi XZ, Yu DS, Warner ED, Sun WX, Petersen GW, Gong ZT (2006) Cross reference system for translating between genetic soil classification of China and soil taxonomy. Soil Sci Soc Am J 70(1):78–83

    Article  Google Scholar 

  • Shi XZ, Yu DS, Gao P, Wang HJ, Sun WX, Zhao YC, Gong ZT (2007) Chinese soil information system (SISChina) and its basic research of application. Soil 39(3):329–333

    Google Scholar 

  • Siakeu J, Oguchi T, Aoki T, Esak Y, Jarvie HP (2004) Change in riverine suspended sediment concentration in central Japan in response to late 20th century human activities. Catena 55:231–254

    Article  Google Scholar 

  • Singh RK, Panda RK, Satapathy KK, Ngachan SV (2012) Runoff and sediment yield modelling for a treated hilly watershed in Eastern Himalaya using the water erosion prediction project model. Water Resour Manage 26:643–665

    Article  Google Scholar 

  • Stutter MI, Langan SJ, Cooper RJ (2008) Spatial and temporal dynamics of stream water particulate and dissolved N, P and C forms along a catchment transect, NE Scotland. J Hydrol 350:187–202

    Article  Google Scholar 

  • Sun B, Zhang LX, Yang LZ, Zhang FS, Norse D, Zhu ZL (2012) Agricultural non-point source pollution in China: causes and mitigation measures. Ambio 41:370–379

    Article  Google Scholar 

  • Terranova O, Antronico L, Coscarelli R, Iaquinta P (2009) Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS: an application model for Calabria (southern Italy). Geomorphology 112:228–245

    Article  Google Scholar 

  • Van Rompaey A, Govers G (2002) Data quality and model complexity for regional scale soil erosion prediction. Int J Geograp Inform Sci 16:663–680

    Article  Google Scholar 

  • Van Rompaey A, Bazzoffi P, Jones RJA, Montanarella L (2005) Modeling sediment yields in Italian catchments. Geomorphology 65:157–169

    Article  Google Scholar 

  • Verstraeten G, Prosser IP, Fogarty P (2007) Predicting the spatial patterns of hillslope sediment delivery to river channels in the Murrumbidgee catchment, Australia. J Hydrol 334:440–454

    Article  Google Scholar 

  • Vijith H, Suma M, Rekha VB, Shiju CP, Rejith G (2012) An assessment of soil erosion probability and erosion rate in a tropical mountainous watershed using remote sensing and GIS. Arab J Geosci 5:797–805

    Article  Google Scholar 

  • Walling DE (1988) Erosion and sediment yield research—some recent perspectives. J Hydrol 100:113–141

    Article  Google Scholar 

  • Wang N, Zhu YM, Xu CG (2002) Appling GIS to the quantity study of runoff pollutants in watershed. J Northeast Norm Univ 34:92–98

    Google Scholar 

  • Wang G, Gertner G, Fang S, Anderson AB (2003) Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogramm Eng Remote Sens 69:889–898

    Google Scholar 

  • Wang LL, Yao WY, Liu YL (2008) China’s research progress in sediment delivery ratio of Watershed. Yellow River 30(9):36–45

    Google Scholar 

  • Wei HY, Zhang KL, Wang JY (2002) A study on the chosen land patch in the distributed erosion model: taking the hilly loess region as an example. Geograp Res 21:578–583

    Google Scholar 

  • Wicks JM, Bathurst JC (1996) A physically based distributed erosion and sediment yield component for the SHE hydrological modeling system. J Hydrol 175:213–238

    Article  Google Scholar 

  • Wischmeier WH (1959) A rainfall erosion index for a universal soil-loss equation. Soil Sci Soc Am Proc 23:246–249

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1965) Predicting rainfall erosion losses from cropland east of the rocky mountains-guide for selection of practices for soil and water conservation. Agriculture Handbook, No 282. Washington, Agriculture Research Service, US Department of Agriculture

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses-a Guide to Conservation planning. Agriculture Handbook, No.537 (p.58). Washington, DC: Agriculture Research Service, US Department of Agriculture

  • WMO (1986) Intercomparison of models of snowmelt runoff. Operational Hydrology Report No 23, World Meteorological Organization, Geneva

  • Wu S, Li J, Huang GH (2007) Modeling the effects of elevation data resolution on the performance of topography-based watershed runoff simulation. Environ Model Soft 22:1250–1260

    Article  Google Scholar 

  • Wu L, Long TY, Li CM (2010) The simulation research of dissolved nitrogen and phosphorus non-point source pollution in Xiao-Jiang Watershed of Three Gorges reservoir area. Water Sci Technol 61(6):1601–1616

    Article  Google Scholar 

  • Wu L, Long TY, Cooper WJ (2012a) Simulation of Spatial and temporal distribution on dissolved non-point source nitrogen and phosphorus load in Jialing River Watershed, China. Environ Earth Sci 65(6):1795–1806

    Article  Google Scholar 

  • Wu L, Long TY, Cooper WJ (2012b) Temporal and spatial simulation of adsorbed nitrogen and phosphorus non-point source pollution load in Xiao Jiang Watershed of Three Gorges reservoir area, China. Environ Eng Sci 29(4):238–247

    Article  Google Scholar 

  • Wu L, Long TY, Liu X, Mmereki D (2012c) Simulation of Soil Loss Processes Based on Rainfall Runoff and the Time Factor of Governance in the Jialing River Watershed, China. Environ Monit Assess 184(6):3731–3748

    Article  Google Scholar 

  • Xu JX (2006) Effect of human activities and precipitation on sediment yield of the Jialingjiang river. Scientia Geographica Sinica 26:432–437

    Google Scholar 

  • Xu QX, Shi GY, Chen ZF (2004) Analysis of recent changing characteristics and tendency runoff and sediment transport in the upper reach of Yangtze River. Adv Water Sci 15:420–426

    Google Scholar 

  • Xu YQ, Peng J, Shao XM (2009) Assessment of soil erosion using RUSLE and GIS: a case study of the Maotiao River watershed, Guizhou Province, China. Environ Geol 56:1643–1652

    Article  Google Scholar 

  • Yang ZS (1999) Crop-Planting Factor of Soil Erosion of Sloping Cultivated Land in the Northeast Mountain Region of Yunnan Province. J Mt Res 17(S1):19–21

    Google Scholar 

  • Yang ST, Cheng HG, Bu QS, Zhang JY, Shi XB (2006) Estimation of soil erosion and its application in assessment of the adsorbed nitrogen and phosphorus load in China. Acta Scientiae Circumstantiae 26:366–374

    Google Scholar 

  • Yli-Halla M, Hartikainena H, Ekholm P, Turtola E, Puustinen M, Kallio K (1995) Assessment of soluble phosphorus load in surface runoff by soil analyses. Agric Ecosyst Environ 56:53–62

    Article  Google Scholar 

  • Young RA, Onstad CA, Bosch DD, Anderson WP (1987) An agricultural non point source pollution model (AGNPS). Conservation Research Report 35, US Department of Agricultural Research Services, WA

  • Young RA, Onstad CA, Bosch DD, Anderson WP (1989) AGNPS: a non-point source pollution model for evaluating agricultural watersheds. J Soil Water Conserv 44:68–73

    Google Scholar 

  • Yu JR, Shi LR, Feng MH, Li RH (1991) The surface erosion and fluvial silt in the upper reaches of Changjiang River. Bull Soil Water Conserv 11(1):9–17

    Google Scholar 

  • Yuan ZJ, Chu YM (2008) Sediment Delivery Ratio Under Single Rainfall Events from Small Watershed in the Purple Soil Region of Sichuan Basin. Bull Soil Water Conserv 28(2):36–40

    Google Scholar 

  • Yuan ZJ, Cai QG, Bu CF (2004) A primary discussion of soil erosion and sediment Yield Models of Small Watershed in Lizikou of Jialingjiang River. Res Soil Water Conserv 11:94–96

    Google Scholar 

  • Zhang XB, Wen AB (2002) Variations of sediment in upper stream of Yangtze River and its tributary. J Hydraul Eng 4:56–59

    Google Scholar 

  • Zhang GL, Yang JL, Zhao YG (2003) Nutrient discharge from a typical watershed in the hilly area of subtropical chain. Pedosphere 13:23–30

    Google Scholar 

  • Zhao XF, Chen LD, Yang LR, Ma Y, Zhang HP, Shi Q (2010) Modeling non-point pollution based on interactions between flow path and landscape units. Acta Scientiae Circumstantiae 30(3):621–630

    Google Scholar 

Download references

Acknowledgments

The authors are extremely grateful to the editor and the reviewers for their insightful comments and suggestions. This study was supported by the projects of Major Science and Technology Program for Water Pollution Control and Treatment (2009ZX07104-001, 2009ZX07104-002), National Science and Technology Support Program (2011BAD31B03), Natural Science Foundation Project of ChongQing (CSTC, 2011BA7021). Doctoral scientific research start-up projects of Northwest A&F University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Wu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wu, L., Long, Ty., Liu, X. et al. Modeling impacts of sediment delivery ratio and land management on adsorbed non-point source nitrogen and phosphorus load in a mountainous basin of the Three Gorges reservoir area, China. Environ Earth Sci 70, 1405–1422 (2013). https://doi.org/10.1007/s12665-013-2227-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-013-2227-0

Keywords

Navigation