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Environmental Science and Pollution Research

, Volume 26, Issue 31, pp 32610–32623 | Cite as

Using vegetation correction coefficient to modify a dynamic particulate nutrient loss model for monthly nitrogen and phosphorus load predictions: a case study in a small loess hilly watershed

  • Lei Wu
  • Gouxia Li
  • Jun Jiang
  • Xiaoyi MaEmail author
Research Article
  • 40 Downloads

Abstract

Vegetation is an important factor affecting nutrient enrichment ratio in runoff sediments but few studies have been examined in the effects of different vegetation scenarios on the monthly evolutions of particulate nitrogen (N) and phosphorus (P) loss. In this study, a vegetation correction coefficient was innovatively embedded in a dynamic particulate nutrient loss model to evaluate the monthly trends of particulate N and P loss in a small highly erodible watershed. Results indicate that (i) the monthly sediment yield from June to August 2013 accounted for the dominant percentage in this extreme hydrological year, which was consistent with the monthly trends of rainfall erosivity. The largest monthly sediment yield rate under four different vegetation scenarios all occurred in July with the values of 530.56, 258.09, 579.69, and 370.74 t km-2. (ii) Particulate N and P loss from April to September changed significantly under different vegetation scenarios, and they were mainly concentrated in June and July 2013; only the N and P loss loads in July accounted for > 70% of annual load. However, the loads in January, February, March, October, November, and December were considered as zero because there was no erosive rainfall during the above 6 months. (iii) The reduction efficiency of particulate N and P loss by scenario 1 was about 1.7 times higher than scenario 3, which shows that forestland in sediment reduction was stronger than grassland and cropland in Zhifanggou Watershed. Results provide the underlying insights needed to guide vegetation reconstruction and soil conservation planning in loess hilly regions.

Keywords

Vegetation scenarios Particulate nutrient loss model Sediment yield Nitrogen and phosphorus Loess hilly regions 

Notes

Acknowledgments

Special thanks to the data support from “Ansai Farmland Ecosystem National Scientific Observation Station, National Science & Technology Infrastructure of China (http://asa.cern.ac.cn/)” and “Loess Plateau Data Center, National Earth System Science Data Sharing Infrastructure, National Science & Technology Infrastructure of China (http://loess.geodata.cn/).”

Funding information

This study was supported by the National Natural Science Foundation of China (51679206), Arid Meteorological Science Research-the Process and Mechanism of Drought Disaster in northern China (201506001), Youth Science and Technology Nova Project in Shaanxi Province (2017KJXX-91), Tang Scholar (Z111021720), the Fundamental Research Funds for the Central Universities (2452016120, 2452015374), and International Science and Technology Cooperation Funds (A213021603). This paper was also supported by the National Fund for Studying Abroad (CSC NO. 201706305014).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.

References

  1. Atucha A, Merwin IA, Brown MG, Gardiazabal F, Mena F, Adriazola C, Lehmann J (2013) Soil erosion, runoff and nutrient losses in an avocado (Persea americana Mill) hillside orchard under different groundcover management systems. Plant Soil 368:393–406Google Scholar
  2. Austin AT, Yahdjian L, Stark JM, Belnap J, Porporato A, Norton U, Ravetta DA, Schaeffer SM (2004) Water pulses and biogeochemical cycles in arid and semiarid ecosystems. Oecologia 141:221–235Google Scholar
  3. Bryan RB (2000) Soil erodibility and processes of water erosion on hillslopes. Geomorphology 32(3-4):385–415Google Scholar
  4. 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):19–24Google Scholar
  5. Chen, H., 2000. Effect of rainfall runoff on sediment delivery ratio of Dalihe Basin system. J Soil Water Conserv (z1)19–27Google Scholar
  6. Chen L, Dang TH, Yang SQ, Qi RS (2011) Effects of fertilization on soil particle composition and phosphorus enrichment in dry highland of Loess Plateau. J Soil Water Conserv 25(3):151–153 159Google Scholar
  7. Chen L, Liu DF, Song LX, Cui YJ, Zhang G (2013) Characteristics of nutrient loss by runoff in sloping arable land of Yellow brown under different rainfall intensities. Environ Sci 34(6):2151–2158Google Scholar
  8. Cheng L, Yang QK, Xie HX, Wang CM, Guo WL (2009) GIS and CSLE based quantitative assessment of soil erosion in Shaanxi, China. J Soil Water Conserv 23(5):61–66Google Scholar
  9. Chu X, Mariño MA (2007) IPTM-CS: a windows-based integrated pesticide transport model for a canopy–soil system. Environ Model Softw 22(9):1316–1327Google Scholar
  10. Desmet PJJ, Govers GA (1996) GIS procedure for automatically calculating the USLE LS factor on topographically complex landscape units. J Soil Water Conserv 51(5):427–433Google Scholar
  11. Ebabu K, Tsunekawa A, Haregeweynd N, Adgo E, Meshesha DT, Aklog D, Masunaga T, Tsubo M, Sultan D, Fenta AA, Yibeltal M (2019) Effects of land use and sustainable land management practices on runoff and soil loss in the Upper Blue Nile basin, Ethiopia. Sci Total Environ 648:1462–1475Google Scholar
  12. Fan JR, Wang NZ, Chen G, Jiao J, Xie Y (2011) Practice factor of soil and water conservation in Northeastern China. Sci Soil Water Conserv 9(3):75–78 92Google Scholar
  13. Fan GD, You YF, Wang B, Wu SM, Zhang Z, Zheng XM, Bao MC, Zhan JJ (2019) Inactivation of harmful cyanobacteria by Ag/AgCl@ZIF-8 coating under visible light: Efficiency and its mechanisms. Appl Catal B Environ 256:117866Google Scholar
  14. Fučík P, Zajíček A, Kaplická M, Duffková R, Peterková J, Maxová J, Takáčová Š (2017) Incorporating rainfall-runoff events into nitrate-nitrogen and phosphorus load assessments for small tile-drained catchments. Water 9:712Google Scholar
  15. Garcia-Rodeja I, Gil-Sotres F (1997) Prediction of parameters describing phosphorus-desorption kinetics in soils of Galicia (northwest Spain). J Environ Qual 26(5):1363–1369Google Scholar
  16. Gathumbi SM, Bohlen PJ, Graetz DA (2005) Nutrient enrichment of wetland vegetation and sediments in subtropical pastures. Soil Sci Soc Am J 69:539–548Google Scholar
  17. Gücker B, Silva RCS, Graeber D, Monteiro JAF, Jack Brookshire EN, Chaves RC, Boëchat IG (2016) Dissolved nutrient exports from natural and human-impacted Neotropical catchments. Glob Ecol Biogeogr 25(4):378–390Google Scholar
  18. Guo SY (2010) Theory and method of soil and water conservation monitoring, 1st edn) Ch. 5. China Water Power Press, Beijing, pp 212–328Google Scholar
  19. Guo QK, Liu BY, Zhu SB, Wang GY, Liu YN, Wang AJ (2013) Main farming measure factors for soil and water conservation in China. Soil Water Conserv China 10:22–26Google Scholar
  20. Guo EH, Chen LD, Sun RH, Wang ZM (2015) Effects of riparian vegetation patterns on the distribution and potential loss of soil nutrients: a case study of the Wenyu River in Beijing. Front Environ Sci Eng 9(2):279–287Google Scholar
  21. Han FP, Zheng JY, Zhang XC (2006) The distribution of nonpoint source pollution in Yellow River catchment. Journal of Northwest A&F University (Nat Sci Ed) 34(8):75–81Google Scholar
  22. Haukos DA, Johnson LA, Smith LM, McMurry ST (2016) Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration. J Environ Manag 181:552–562Google Scholar
  23. Hong EM, Park Y, Muirhead R, Jeong J, Pachepsky YA (2017) Development and evaluation of the bacterial fate and transport module for the Agricultural Policy/Environmental eXtender (APEX) model. Sci Total Environ 615:47–58Google Scholar
  24. Hou XL, Cao QY (1990) Study on the sediment reduction benefits of vegetation in loess hilly and gully region of Northern Shaanxi. Bull Soil Water Conserv 10(2):33–40Google Scholar
  25. Huang M, Zhang JJ, Ru H, Guo BN, Li MY, Wang CX, Wang DD, Liang W (2012) Characteristics of runoff and sediment in small watersheds under different vegetation cover in the Loess Plateau of Western Shanxi Province. Sci Soil Water Conserv 10(5):16–23Google Scholar
  26. Jha MK, Schilling KE, Gassman PW, Wolter CF (2010) Targeting land-use change for nitrate-nitrogen load reductions in an agricultural watershed. J Soil Water Conserv 65(6):342–352Google Scholar
  27. Jiang ZS, Zheng FL (2004) Assessment on benefit of sediment reduction by comprehensive controls in the Zhifanggou Watershed. J Sediment Res 2:56–61Google Scholar
  28. Jiao PJ, Wang SL, Xu D, Wang YZ (2009) Effect of crop vegetation type on nitrogen and phosphorus runoff losses from farmland in one rainstorm event. J Hydraul Eng 40(3):296–302Google Scholar
  29. Jiao JY, Wang ZJ, Wei YH, Su Y, Cao BT, Li YJ (2017) Characteristics of erosion sediment yield with extreme rainstorms in Yanhe Watershed based on field measurement. Trans Chin Soc Agric Eng (Trans CSAE) 33(13):159–167Google Scholar
  30. Johnes PJ (2007) Uncertainties in annual riverine phosphorus load estimation: impact of load estimation methodology, sampling frequency, baseflow index and catchment population density. J Hydrol 332(1-2):241–258Google Scholar
  31. Karki R, Tagert MLM, Paz JO, Bingner RL (2017) Application of AnnAGNPS to model an agricultural watershed in East-Central Mississippi for the evaluation of an on-farm water storage (OFWS) system. Agric Water Manag 192:103–114Google Scholar
  32. Kinnell PIA (2010) Event soil loss, runoff and the universal soil loss equation family of models: a review. J Hydrol 385:384–397Google Scholar
  33. Kinnell PIA (2016) Comparison between the USLE, the USLE-M and replicate plots to model rainfall erosion on bare fallow areas. Catena 145:39–46Google Scholar
  34. Kou XY, Huang J, Jiang XB, Xiang JP, Jin WP, Wang SW (2017) Effects of rainfall on runoff and sediment under different underlying surfaces of runoff plots. Bull Soil Water Conserv 37(2):27–31 38Google Scholar
  35. Lang HO, Wang WJ, Wang W, Xu C, Liu Y, Li TR (2010) Effect of land use change on spatial-temporal characteristics of non-point source pollution in Xiaojiang Watershed. Res Environ Sci 23(9):1158–1166Google Scholar
  36. Lee S, Yeo IY, Sadeghi AM, Mccarty GW, Hively WD, Lang MW, Sharifi A (2017) Comparative analyses of hydrological responses of two adjacent watersheds to climate variability and change scenarios using SWAT model. Hydrol Earth Syst Sci 22:689–708Google Scholar
  37. Lee G, McLaughlin RA, Whitely KD, Brown VK (2018) Evaluation of seven mulch treatments for erosion control and vegetation establishment on steep slopes. J Soil Water Conserv 73(4):434–442Google Scholar
  38. Li TH, Zheng LN (2012) Soil erosion changes in the Yanhe Watershed from 2001 to 2010 based on RUSLE Model. J Nat Resour 7:1164–1175Google Scholar
  39. Li Z, Zheng FL, Liu WZ (2010) Analyzing the spatial-temporal changes of extreme precipitation events in the Loess Plateau from 1961 to 2007. J Nat Resour 25(2):291–299Google Scholar
  40. Liao YS, Zhuo MN, Li DQ, Xie ZY, Guo TL (2014) Estimation of agricultural non-point source nitrogen and phosphorus load based on rainfall-runoff and land use types. Acta Sci Circumst 34(8):2126–2132Google Scholar
  41. Liu BY, Bi XG, Fu SH (2010) Beijing Soil Erosion Equation. Science Press, Beijing, pp 52–67Google Scholar
  42. Lu H, Moran CJ, Prosser IP (2006) Modelling sediment delivery ratio over the Murry Darling Basin. Environ Model Softw 21:1297–1308Google Scholar
  43. Lu JZ, Chen XL, Li H, Liu H, Xiao JJ, Yin JM (2011) Soil erosion changes based on GIS/RS and USLE in Poyang lake basin. Trans CSAE 27(2):337–344Google Scholar
  44. Luo Y, Yang ST, Liu XY, Zhou QW, Dong GT (2015) Changes of runoff and sediment yield and their relationship with rainfall intensity and vegetation coverage in Loess Plateau. Arid Zone Res 32(4):698–709Google Scholar
  45. Luo C, Li Z, Min W, Jiang K, Chen X, Li H (2017) Comprehensive study on parameter sensitivity for flow and nutrient modeling in the Hydrological Simulation Program Fortran model. Environ Sci Pollut Res 24(26):1–13Google Scholar
  46. Ma CF, Ma JW, Buhe A (2001) Quantitative assessment of vegetation coverage factor in USLE model using remote sensing data. Bull Soil Water Conserv 21(4):6–9Google Scholar
  47. McCool D, Brown LC, Foster GR, Mutchler CK, Meyer LD (1987) Revised slope steepness factor for the Universal Soil Loss Equation. Trans ASAE 30(5):1387–1396Google Scholar
  48. MCSWC: Monitoring Center of Soil and Water Conservation, Ministry of Water Resources, People’s Republic of China (2002) Technical code of practice on water and soil conservation monitoring, 1st edn) Ch. 3. China Water Power Press, Beijing, pp 5–7Google Scholar
  49. MCSWC: Monitoring Center of Soil and Water Conservation, Ministry of Water Resources, People’s Republic of China (2015) Handbook of Soil and Water Conservation Monitoring for Runoff Plots and Small Watersheds, 1st edn) Ch. 3. China Water Power Press, Beijing, pp 35–106Google Scholar
  50. Meng D (2005) Study of rural nonpoint source pollution in Shitoukoumen Reservoir reach based on GIS. Dissertation, Northeast Normal University, Shenyang, P.R. China, pp. 27–29Google Scholar
  51. Meng QH, Fu BJ, Qiu Y (2002) Study on runoff and phosphorus loss in different land use patterns in loess hilly and gully region. Prog Nat Sci 12(4):393–397Google Scholar
  52. Merritt WS, Letcher RA, Jakeman AJ (2003) A review of erosion and sediment transport models. Environ Model Softw 18:761–799Google Scholar
  53. Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K, Chisci G, Torri D, Styczen ME (1999) The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surf Process Landf 24(6):563–565Google Scholar
  54. Nigel R, Rughooputh S (2010) Mapping of monthly soil erosion risk of mainland Mauritius and its aggregation with delineated basins. Geomorphology 114:101–114Google Scholar
  55. Niu XY, Wang YH, Yang H, Zheng JW, Zou J, Xu MN, Wu SS, Xie B (2015) Effect of land use on soil erosion and nutrients in Dianchi Lake Watershed, China. Pedosphere 25(1):103–111Google Scholar
  56. Ockenden MC, Deasy CE, Benskin CMH, Beven KJ, Burke S, Collins AL, Evans R, Falloon PD, Forber KJ, Hiscock KM, Hollaway MJ, Kahana R, Macleod CJA, Reaney SM, Snell MA, Villamizar ML, Wearing C, Withers PJA, Zhou JG, Haygarth PM (2016) Changing climate and nutrient transfers: evidence from high temporal resolution concentration-flow dynamics in headwater catchments. Sci Total Environ 548-549:325–339Google Scholar
  57. Öztürk M, Copty NK, Saysel AK (2013) Modeling the impact of land use change on the hydrology of a rural watershed. J Hydrol 497:97–109Google Scholar
  58. Palis RG, Okwach G, Rose CW, Saffigna PG (1990) Soil erosion processes and nutrient loss. I. The interpretation of enrichment ratio and nitrogen loss in runoff sediment. Aust J Soil Res 28:623–639Google Scholar
  59. Pang GW, Xie HX, Li R, Yang QK (2012) Soil erosion dynamics of Zhifanggou Watershed during the past 70 years. Sci Soil Water Conserv 10(3):1–8Google Scholar
  60. Pleguezuelo CRR, Zuazo VHD, Raya AM, Martinez JRF, Rodriguez BC (2009) High reduction of erosion and nutrient losses by decreasing harvest intensity of lavender grown on slopes. Agron Sustain Dev 29:363–370Google Scholar
  61. 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 64:965–972Google Scholar
  62. Qin W, Cao WH, Zuo CQ (2015) Review on the coupling influences of vegetation and topography to soil erosion and sediment yield. J Sediment Res 3:74–80Google Scholar
  63. Reid KD, Wilcox BP, Breshears DD, Macdonald L (1999) Runoff and erosion in a Pinon-Juniper woodland influence of vegetation patches. Soil Sci Soc Am J 63(6):1869–1879Google Scholar
  64. 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). US Department of Agriculture, Agriculture Research Service, Agriculture Handbook, No. 703, Washington D.CGoogle Scholar
  65. Shang X, Wang XZ, Zhang DL, Chen WD, Chen XC, Kong HN (2012) An improved SWAT-based computational framework for identifying critical sources for agricultural pollution at the lake basin scale. Ecol Model 226:1–10Google Scholar
  66. Sharpley AN (1983) The enrichment of soil phosphorus in runoff sediments. J Environ Qual 9:521–526Google Scholar
  67. She D, Wu FQ, Liu LL (2003) Regular pattern of soil nutrient loss on the Loess Plateau. Journal of Northwest Forestry University 18(3):19–21Google Scholar
  68. Shi ZH, Cai CF, Ding SW (2002) Research on nitrogen and phosphorus load of agricultural nonpoint sources in middle and lower reaches of Hanjiang River based on GIS. Acta Sci Circumst 22(4):473–477Google Scholar
  69. Silburn DM, Loch RJ (1989) Evaluation of the CREAMS model. I Sensitivity analysis of the soil erosion sedimentation component for aggregated clay soils. Aust J Soil Res 27:545–561Google Scholar
  70. Song WL, Zhang RH, Gao YF, Lu JX, Yang ST, Qu W, Zhao DJ (2014) Study on soil erosion intensity classification based on field survey, remote sensing data and CLSE model. South to North Water Transfers and Water Science & Technology 12(5):170–174Google Scholar
  71. Streeter MT, Schilling KE, Wolter CF (2018) Sediment delivery and nutrient export as indicators of soil sustainability in an Iowa agricultural watershed. J Soils Sediments 18(4):1756–1766Google Scholar
  72. Suescun D, Villegas JC, Leon JD, Florez CP, Garcia-Leoz V, Correa-Londono GA (2017) Vegetation cover and rainfall seasonality impact nutrient loss via runoff and erosion in the Colombian Andes. Reg Environ Chang 17:827–839Google Scholar
  73. Tong STY, Sun Y, Ranatunga T, He J, Yang YJ (2012) Predicting plausible impacts of sets of climate and land use change scenarios on water resources. Appl Geogr 32(2):477–489Google Scholar
  74. Vadas PA, Good LW, Jokela WE, Karthikeyan KG, Arriaga FJ, Stock M (2017) Quantifying the impact of seasonal and short-term manure application decisions on phosphorus loss in surface runoff. J Environ Qual 46:1395–1402Google Scholar
  75. Wang ZL, Shao MA, Liu WZ, Liang YM (1999) A preliminary study on soil erosion and sediment yield in Zhifanggou watershed. Journal of Tianjin Normal University (Nat Sci Ed)Google Scholar
  76. Wang B, Yang Q, Liu Z (2009) Effect of conversion of farmland to forest or grassland on soil erosion intensity changes in Yanhe River Basin, Loess Plateau of China. Front For China 4(1):68–74Google Scholar
  77. Wang X, Williams JR, Gassman PW, Baffaut C, Izaurralde RC, Jeong J, Kiniry JR (2012) EPIC and APEX: model use, calibration and validation. Trans ASABE 55(4):1447–1462Google Scholar
  78. Wang ZJ, Ma LM, Jiao JY (2013) Sediment delivery ratio in different spatial scale watershed in loess hill-gully region. Bull Soil Water Conserv 33(6):2–8Google Scholar
  79. Wang QJ, Zhao GX, Liu YL, Zhang PY, Chai J (2016) Effects of vegetation types on yield of surface runoff and sediment, loss of nitrogen and phosphorus along loess slope land. Trans Chin Soc Agric Eng 32(14):195–201Google Scholar
  80. Wang YB, Sun Y, Niu FJ, Wu QB (2017) Using 137Cs measurements to investigate the impact of soil erosion on soil nutrients in alpine meadows within the Yangtze River region, China. Cold Reg Sci Technol 135:28–33Google Scholar
  81. Wijesekara GN, Gupta A, Valeo C, Hasbain JG, Qiao Y, Delaney P, Macreau DJ (2012) Assessing the impact of future land-use changes on hydrological processes in the Elbow River watershed in southern Alberta, Canada. J Hydrol 412-413:220–232Google Scholar
  82. Wilken F, Baur M, Michael Sommer M, Deumlich D, Bens O, Fiener P (2018) Uncertainties in rainfall kinetic energy-intensity relations for soil erosion modelling. Catena 171:234–244Google Scholar
  83. Wischmeier WH, Smith DD (1965) Predicting rainfall-erosion losses from cropland east of the Rocky Mountains: a guide for selection of practices for soil and water conservation. USDA Agricultural Handbook, No.282 (p.47), US Department of Agriculture: Agriculture Research Service, Washington DCGoogle Scholar
  84. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses-a guide to conservation planning. Agriculture Handbook, No.537 (p.58). US Department of Agriculture: Agriculture Research Service, Washington DCGoogle Scholar
  85. Wu L, Long TY, Liu X, Ma XY (2013) 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(3):1405–1422Google Scholar
  86. Wu H, Lu ZJ, Huang HD, Jiang MX (2015a) Comparison of phosphorus uptake and accumulation capacity among three plant species. Chin J Plant Ecol 39(1):63–71Google Scholar
  87. Wu L, Gao JE, Ma XY, Li D (2015b) Application of modified export coefficient method on the load estimation of non-point source nitrogen and phosphorus pollution of soil and water loss in semiarid regions. Environ Sci Pollut Res 22:10647–10660Google Scholar
  88. Wu L, Liu X, Ma XY (2016a) Spatio-temporal variation of erosion-type non-point source pollution in a small watershed of hilly and gully region, Chinese Loess Plateau. Environ Sci Pollut Res 23:10957–10967Google Scholar
  89. Wu L, Liu X, Ma XY (2016b) Spatio-temporal evolutions of precipitation in the Yellow River basin of China from 1981 to 2013. Water Sci Technol Water Supply 16(5):1441–1450Google Scholar
  90. Wu L, Liu X, Ma XY (2016c) Application of a modified distributed-dynamic erosion and sediment yield model in a typical watershed of a hilly and gully region, Chinese Loess Plateau. Solid Earth 7(6):1577–1590Google Scholar
  91. Wu L, Liu X, Ma XY (2016d) Spatiotemporal distribution of rainfall erosivity in the Yanhe River watershed of hilly and gully region, Chinese Loess Plateau. Environ Earth Sci 75:315Google Scholar
  92. Wu L, Li PC, Ma XY (2016e) Estimating nonpoint source pollution load using four modified export coefficient models in a large easily eroded watershed of the loess hilly-gully region, China. Environ Earth Sci 75:1056Google Scholar
  93. Wu L, Qiao SS, Liu X (2017) A modified GIS-based water-sediment-adsorbed phosphorus coupling model and its application in a typical watershed of semiarid regions. Fresenius Environ Bull 26(12a):7815–7824Google Scholar
  94. Wu L, Yao WW, Ma XY (2018) Using the comprehensive governance degree to calibrate a piecewise sediment delivery ratio algorithm for dynamic sediment predictions: a case study in an ecological restoration watershed of northwest China. J Hydrol 564:888–899Google Scholar
  95. Xia J, Xue JF (2010) A distributed soil erosion and sediment transport sub-model in non-point source pollution and its application in Guishui Watershed. J Resour Ecol 1(3):231–237Google Scholar
  96. Xue JF, Xia J, Liang T, Zhang XM (2005) Research on load model of particulate nitrogen and phosphorus. Adv Water Sci 16(3):334–337Google Scholar
  97. Yang QK, Guo WL, Zhang HM, Wang L, Cheng L, Li J (2010) Method of extracting LS factor at watershed scale based on DEM. Bull Soil Water Conserv 30(2):203–206 211Google Scholar
  98. Ye ZH, Liu BY, Fu SH, Zeng XQ (2009) Review of research on enrichment ratio of nutrient in soil erosion process. Sci Soil Water Conserv 7(1):124–130Google Scholar
  99. Yu GQ, Li ZB, Li P, Zhang X, Chen L, Jia LL (2010) Effects of vegetation types on hill slope runoff-erosion and sediment yield. Adv Water Sci 21(5):593–599Google Scholar
  100. Yu JX, Zheng BF, Liu YF, Liu CL (2011) Evaluation of soil loss and transportation load of adsorption N and P in Poyang Lake watershed. Acta Ecol Sin 31(14):3980–3989Google Scholar
  101. Yu GQ, Zhang Z, Zhang MS, Pei L (2012) Mechanism of vegetation controlling gravity erosion in slope-gully system on Loess Plateau. J Nat Resour 27(6):922–932Google Scholar
  102. Zhang XC, Shao MA (2000) Soil nitrogen and organic matter losses under water erosion. Chin J Appl Ecol 11(1):231–234Google Scholar
  103. Zhang XC, Liu GB, Fu HF (2000a) Soil nitrogen losses of catchment by water erosion as affected by vegetation coverage. Environ Sci 21(6):16–19Google Scholar
  104. Zhang XC, Shao MA, Huang ZB, Lu ZF (2000b) An experimental research on soil erosion and nitrogen loss under different vegetation cover. Acta Ecol Sin 20(6):1038–1044Google Scholar
  105. Zhang Y, Liu B, Shi P, Jiang Z (2001) Crop cover factor estimating for soil loss prediction. Acta Ecol Sin 21:1050–1056Google Scholar
  106. Zhang WB, Xie Y, Liu BY (2003) Spatial distribution of rainfall erosivity in China. J Mt Sci 1:33–40Google Scholar
  107. Zhang B, Yang YS, Zepp H (2004a) Effect of vegetation restoration on soil and water erosion and nutrient losses of a severely eroded clayey Plinthudult in southeastern China. Catena 57:77–90Google Scholar
  108. Zhang H, Gao PC, Niu XF, Yang RH (2004b) Research on dry-resisting forestation technique with dripping irrigation under plastic film and efficiency of reducing soil erosion on reforest slope land. J Soil Water Conserv 18(6):190–192Google Scholar
  109. Zhang KL, Peng WY, Yang HL (2007) Soil erodibility and its estimation for agricultural soil in China. Acta Pedol Sin 44(1):7–13Google Scholar
  110. Zhang GH, Liu GB, Wang GL, Wang YX (2011) Effects of vegetation cover and rainfall intensity on sediment-bound nutrient loss, size composition and volume fractal dimension of sediment particles. Pedosphere 21(5):676–684Google Scholar
  111. Zhao HB, Liu GB, Cao QY, Wu RJ (2006) Influence of different land use types on soil erosion and nutrition care effect in loess hilly region. J Soil Water Conserv 2(1):20–24Google Scholar
  112. Zhao YZ, Mu XM, Yan BW, Zhao GJ (2015) Meta-analysis on runoff and sediment reductions of re-vegetation with different planting years on Loess Plateau. Bull Soil Water Conserv 35(3):6–11Google Scholar
  113. Zheng FL, Gao XT (2000) Soil erosion process and simulation on loess slope. Shaanxi People’s Publishing House, Xi’an, pp 96–119Google Scholar
  114. Zheng M, Liao Y, He J (2014) Sediment delivery ratio of single flood events and the influencing factors in a headwater basin of the Chinese Loess Plateau. PLoS One 9(11):e112594Google Scholar
  115. Zhou L, Xu JG, Sun DQ, Ni TH (2013) Spatial heterogeneity and classified control of agricultural non-point source pollution in Huaihe River Basin. Environ Sci 34(2):547–554Google Scholar
  116. Zhou H, Yan JX, Li HJ, Wang XY (2019) Response of soil and water loss on different underlying surfaces of sloping farmland to erosive rainfall in the loess area of Western Shaanxi Province. Res Soil Water Conserv 26(4):7–12Google Scholar
  117. Zhu LQ, Xu SM, Chen PY (2003) Study on the impact of land use/land cover change on soil erosion in mountainous areas. Geogr Res 22(4):432–438Google Scholar
  118. Zhu HF, Kang MY, Zhao WW, Guo WW (2007) Effects of soil and water conservation measures on erosion, sediment delivery and deposition in Yanhe River Basin. Res Soil Water Conserv 14(4):1–4Google Scholar

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© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of EducationNorthwest A&F UniversityYanglingPeople’s Republic of China
  2. 2.Blackland Research and Extension Center, Texas A&M AgriLife ResearchTexas A&M UniversityTempleUSA
  3. 3.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess PlateauNorthwest A&F UniversityYanglingPeople’s Republic of China
  4. 4.College of Water Resources and Architectural EngineeringNorthwest A&F UniversityYanglingPeople’s Republic of China
  5. 5.Ansai Comprehensive Experimental Station of Soil and Water Conservation, Chinese Ecosystem Research NetworkNorthwest A&F UniversityYanglingPeople’s Republic of China

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