Runoff, Sediment and Nutrients Loss from Two Small Watersheds in Eastern Plateau and Hill Region of India

Authors

  • S. S. Mali Author
  • S. K. Naik Author
  • D. K. Raghav Subject Matter Specialist, Krishi Vigyan Kendra, Ramgarh, Jharkhand Author
  • Omkar Kumar Senior Research Fellow,ICAR-Research Complex for Eastern Plateau Region, Farming System Research Centre for Hill and Plateau Region, Ranchi, Jharkhand Author
  • A. K. Singh Principal Scientist, ICAR-Research Complex for Eastern Plateau Region, Farming System Research Centre for Hill and Plateau Region, Ranchi, Jharkhand Author

DOI:

https://doi.org/10.52151/jae2021581.1742

Keywords:

Watershed hydrology, runoff, sediment yield, nutrient loss, land use

Abstract

Hydrologic behaviour of many small watersheds around the world are changing mainlydue to alterations in land use land cover, and creating new regimes of hydrologic responseby driving changes in runoff, sediment and nutrient dynamics. In this study, response oftwo small watersheds, Plandu and Keribanda, located in eastern plateau and hill region(EPHR) of India was assessed in terms of runoff, sediment and nutrient loss. Dailydischarge at the outlets of watersheds was monitored, and water samples were collectedat weekly intervals during the monsoon seasons of the years 2015, 2016, and 2017. Watersamples were analysed for sediment, Nitrogen (N), Phosphorous (P) and Potassium (K)concentrations. The peak discharge rate from the Plandu and Keribanda watershedsranged between 5.35 m3.s−1 to 8.58 m3.s−1, and 8.41 m3.s−1 to 11.79 m3.s−1, respectively.The Plandu watershed yielded 47.4 % higher sediment yields compared to the Keribandawatershed on account of extensive agricultural activities during the monsoon season. ThePlandu watershed also recorded higher N (1.17 kg.ha−1.y−1) and P (0.19 kg.ha−1.y−1) losses;however, the K loss (22.92 kg.ha−1.y−1) was higher in the Keribanda watershed. Linearregression models were also developed between rainfall-runoff (R2: 0.86-0.89), runoffsedimentyield (R2: 0.82-0.88), N, P, and K loss with runoff volume (R2: 0.82-0.94). Thefindings of this study would aid in devising informed policies for soil, water and nutrientmanagement strategies at the watershed scale.

References

Abebe T; Gebremariam B. 2019. Modelling runoff and sediment yield of Kesem dam watershed, Awash basin, Ethiopia. SN App. Sci., 1, 446. doi.org/10.1007/ s42452-019-0347-1

Adham M I; Shirazi S M; Othman F; Rahman S; Yusop Z; Ismail Z. 2014. Runoff potentiality of a watershed through SCS and Functional Data Analysis technique. Sci. World. J., 2014:379763 https://doi.org/10.1155/2014/379763.

Akaike H. 1973. Information Theory and an Extension of the Maximum Likelihood Principle. In: Proc. (Petrov B N; Csaki F Eds.) 2nd International Symposium on Information Theory, Akademiai Kiado, Budapest, 267–281.

Auerswald K; Kainz M; Fiener P. 2003. Soil erosion potential of organic versus conventional farming evaluated by USLE modelling of cropping statistics for agricultural districts in Bavaria. Soil Use Manage., 19, 305-311. doi:10.1111/j.1475-2743.2003.tb00320.x.

Bai P; Liu X; Liu C. 2018. Improving hydrological simulations by incorporating grace data for model calibration. J. Hydrol., 557, 291–304.

Bergman S C. 1987. Lamproites and other potassiumrich igneous rocks: A review of their occurrence, mineralogy and geochemistry. Geol. Soc. Spec. Publ., 30, 103-190. https://doi.org/10.1144/GSL.SP.1987.030.01.08

Bray R H; Kurtz L T. 1945. Determination of total, organic, and available forms of phosphorus in soils. Soil Sci., 59, 39–45.

Bulltail G; Walter M T. 2020. Impacts of coal resource development on surface water quality in a multi‐jurisdictional watershed in the western united states. J. Contemp. Water Res. Educ., 169, 79-91. doi:10.1111/j.1936-704X.2020.03333.x

Caballero L A; Rimmer A; Easton Z M; Steenhuis T S. 2012. Rainfall runoff relationships for a cloud forest watershed in central America: Implications for water resource engineering1. J. Am. Water. Resour. Assoc., 48, 1022-1031. doi:10.1111/j.1752-1688.2012.00668.x

Calder I R. 2007. Forests and water-Ensuring forest benefits outweigh water costs. For. Ecol. Manage., 251,110–120.

Chandra R; Suresh R. 2005. Rainfall-Runoff- Sediment yield relationship for a micro watershed. J. Agric. Eng., 42(4), 42-44.

Chorley R J. 1972. Spatial Analysis in Geomorphology. Mathuen and Co. Ltd, London, pp: 404.

El-Hassanin A S; Labib T M; Gaber E I. 1993. Effect of vegetation cover and land slope on runoff and soil losses from the watersheds of Burundi. Agric. Ecosyst. Environ., 43(3–4), 301-308.

Ellison C A; Kiesling R L; Fallon J D. 2010. Correlating streamflow, turbidity, and suspendedsediment concentration in Minnesota’s wild rice river. 2nd Joint Federal Interagency Conference, Las Vegas, NV. https://acwi.gov/sos/pubs/2ndJFIC/Contents/8B_Ellison_12_03_09_paper.pdf (Accessed on 12 June 2020).

FAOSTAT. 2005. Fertilizer Use by Crop in India. Land and Plant Nutrition Management Service, Land and Water Development Division, Food and Agriculture Organization of the United Nations, Rome. http:// www.fao.org/3/a0257e/A0257E00.htm (Accessed on 10 June 2020).

Fu T; Ni J P; Wei C F; Xie D T. 2002. Research on nutrient loss from terra gialla soil in Three Gorges Region under different rainfall intensity. J. Soil Water Conserv., 16(2), 33–35.

García-Ruiz J M; Regüés-Muñoz D; Alvera B; Lana-Renault N; Serrano M P; Nadal-Romero E; Navas Izquierdo A; Latron J; Martí B C E; Arnáez-Vadillo J. 2008. Plant cover, flood generation and sediment transport at catchment scale: A gradient of experimental catchments in the central Pyrenees. J. Hydrol., 356, 245-260.

Gburek W J; Folmar G F. 1999. Flow and chemical contributions to stream flow in an upland watershed: A base flow survey. J. Hydrol., 217, 1-18.

Gippel C J. 1995. Potential use of turbidity monitoring for measuring the transport of suspended solids in streams. Hydrol. Process., 9(1), 83-99.

Githui F; Mutua F; Bauwens W. 2009. Estimating the impacts of land-cover change on runoff using the soil and water assessment tool (SWAT): Case study of Nzoia catchment, Kenya. Hydrol. Sci. J., 54(5), 899-908.

Guo L; Su N; Townend I; Wang Z B; Zhu C; Wang X; Zhang Y; He Q. 2019. From the headwater to the delta: A synthesis of the basin-scale sediment load regime in the Changjiang River. Earth Sci. Rev., 197,102900. https://doi.org/10.1016/j.earscirev.2019.102900

Haijin Z; Jie Y; Hongjiang Z. 2012. Field simulated experiment on erosion processes of different farm roads under a heavy rain in red soil region. Trans. China Soc. Agric. Mach., 43(9), 85–90.

Hart M R; Quinn B F; Nguyen M L. 2004. Phosphorus runoff from agricultural land and direct fertilizer effects: A review. J. Environ. Qual., 33, 1954-1972.

House A W; Denison H F. 2002. Total phosphorus content of river sediments in relationship to calcium, iron and organic matter concentrations. Sci. Total. Environ., 23, 341-351.

Hua L; Xiubin H; Yongping Y; Hongwei N. 2012. Assessment of Runoff and Sediment Yields Using the AnnAGNPS Model in a Three-Gorge Watershed of China. Int. J. Environ. Res. Pub. Health, 9,1887-1907.

IBM. 2015. Indian Minerals Yearbook (Part- III: Mineral Reviews). Indian Bureau of Mines, Ministry of Mines, Government of India, 52nd Edition MICA (Final Release), pp: 16. https://ibm.gov.in/writereaddata/files/07302015125808IMYB2013_Mica.pdf.

Jackson M L. 1973. Soil Chemical Analysis. Prentice Hall of India Pvt. Ltd., New Delhi, India, pp: 298.

Jain M; Mishra K; Surendra K; Shah R. 2010. Estimation of sediment yield and areas vulnerable to soil erosion and deposition in Himalayan watershed using GIS. Curr. Sci., 98(2), 213-221.

Kateb H E; Zhang H; Zhang P; Mosandl R. 2013. Soil erosion and surface runoff on different vegetation covers and slope gradients: A field experiment in Southern Shaanxi Province, China. Catena, 105, 1-10.

Kleinman P J; Srinivasan M S; Dell C J; Schmidt J P; Sharpley A N; Bryant R B. 2006. Role of rainfall intensity and hydrology in nutrient transport via surface runoff. J. Environ. Qual., 35, 1248-1259.

Kothyari B P; Verma P K; Joshi B K; Kothyari U C. 2004. Rainfall–runoff-soil and nutrient loss relationships for plot size areas of Bhetagad watershed in Central Himalaya, India. J. Hydrol., 293,137-150.

Kumar K; Isaac R K; Ahsan M J. 2015. Land use and land cover changes at upper Nagwan Watershed using GIS and Remote sensing. Int. J. Remote Sens. Geosci., 4(3), 7-13.

Kumar R; Ehrar O; Mahto D K. 2018. Satellite image based land use land cover change analysis of Ranchi district, Jharkhand. SGVU J. Clim. Change Water, 5, 1-10.

Kumari P; Kumar V; Kumar R; Tirkey D A. 2017. Effect of weather on grain yield of direct seeded upland rice varieties in Jharkhand, India. Indian J. Agric. Res., 51(5), 1-6. doi:10.18805/IJARe.A-4714.

Kumari R; Mayoor M; Mahapatra S; Parhi P K; Singh H P. 2019. Estimation of Rainfall-Runoff Relationship and Correlation of Runoff with Infiltration Capacity and Temperature Over East Singhbhum District of Jharkhand. Int. J. Eng. Adv. Tech., 9(2), 2249-8958. doi:10.35940/ijrte.B3216.129219

Lal M; Mishra S K. 2015. Characterization of surface runoff, soil erosion, nutrient loss and their relationship for agricultural plots in India. Curr. World. Environ., 10(2), 593-601. https://dx.doi.org/10.12944/CWE.10.2.24

Li Z; Huang J; Zeng G; Nie X; Ma W; Yu W; Guo W; Zhang J. 2013. Effect of erosion on productivity in subtropical red soil hilly region: A multi-scale spatiotemporal study by simulated rainfall. PLoS ONE, 8, e77838.

Loeser E; Dela Cruz M; Madappalli V. 2011. Solubility of urea in acetonitrile–water mixtures and liquid–liquid phase separation of urea-saturated acetonitrile–water mixtures. J. Chem. Eng. Data., 56(6), 2909-2913.

Mali S S; Naik S K; Bhatt B P. 2016. Spatial variability in soil properties of mango orchards in eastern plateau and hill region of India. Vegetos, 29(3), 1-6. doi:10.4172/2229-4473.1000141

Mandal D; Sharda V N. 2011. Assessment of permissible soil loss in India employing a quantitative bio-physical model. Curr. Sci., 100(3), 383-390.

Mandal U K; Sharma K L; Prasad J V N S; Reddy B S; Narsimlu B; Saikia U S; Adake R V; Yadaiah P; Masane R N; Venkanna K; Venkatravamma K; Satyam B; Raju B; Srivastava N N. 2012. Nutrient losses by runoff and sediment from an agricultural field in semi-arid tropical India. Indian J. Dryland Agric. Res. Dev., 27(1), 01-09.

Merchán D; Casalí J; Del Valle de Lersundi J; Campo-Bescós M A; Giménez R; Preciado B; Lafarga A. 2018. Runoff, nutrients, sediment and salt yields in an irrigated watershed in southern Navarre (Spain). Agric. Water Manage., 195, 120-132.

Montanari L; Sivapalan M; Montanari A. 2006. Investigating of dominant hydrological processes in a tropical catchment in a monsoonal climate via the downward approach. Hydrol. Earth Syst. Sci. 10,769- 782.

Montgomery D R. 2007. Soil erosion and agricultural sustainability. In: Proc. National Academy of Sciences of the United States of America, 104 (33), 13268- 13272.

Morgan K T; Cushman K E; Sato S. 2009. Release mechanisms for slow- and controlled-release fertilizers and strategies for their use in vegetable production. HortTechnol. Hortte, 19(1), 10-12.

Morgan R P C. 2005. Soil Erosion and Conservation. Blackwell, Oxford, UK, pp: 304.

Naik S K. 2014. Distribution of nitrogen, phosphorus, potassium and zinc content in mango grown acidic soils of Jharkhand. Ecoscan, 8(1&2), 135-139.

Naik S K; Das B; Kumar S; Bhatt B P. 2015. Evaluation of major and micronutrient status of acid soils of different mango orchards. Int. J. Fruit Sci., 15(1), 10-25.

Nearing M A; Xie Y; Liu B; Ye Y. 2017. Natural and anthropogenic rates of soil erosion. Int. Soil Water Conserv. Res., 5(2), 77-84. https://doi.org/10.1016/j.iswcr.2017.04.001

Nie X; Li Z; Huang J; Huang B; Zhang Y; Ma W; Hu Y; Zeng G. 2014. Soil organic carbon loss and selective transportation under field simulated rainfall events. PLoSONE, 9, e105927.

NIH. 2001. Applicability of SCS Runoff Method to Different Agro Climatic Regions. National Institute of Hydrology, Roorkee, India, Report No. CS/AR-5/2000-2001, pp: 57. http://117.252.14.242/TechnicalPapers/ (Accessed on 01 August 2020).

Noor H; Fazli S; Alibakhshi S M. 2013. Evaluation of the relationships between runoff-rainfall-sediment related nutrient loss (A case study: Kojour Watershed, Iran). Soil Water Res., 8, 172-177.

NRSC. 2014. Land Use / Land Cover Database on 1:50,000 Scale. Natural Resources Census Project, LUCMD, LRUMG, RSAA, National Remote Sensing Centre, ISRO, Hyderabad, Technical Report – Ver.1, pp: 11.

Panwar A S; Shamim M; Babu S; Ravishankar N; Prusty A K; Alam N M; Singh D K; Bindhu J S; Kaur J; Dashora L N; Latheef Pasha M D; Chaterjee S; Sanjay M T; Desai L J. 2019. Enhancement in productivity, nutrients use efficiency, and economics of rice-wheat cropping systems in India through farmer’s participatory approach. Sustainability, 11(122), 1-26. doi:10.3390/su11010122

Peoples M B; Faizah A W; Rerkasem B; Herridge D F. 1989. Methods for Evaluating Nitrogen Fixation by Modulated Legumes in the Field. Canberra: Australian Centre for International Agricultural Research, pp: 81. ISBN 09-495-1190-0.

Pimentel D; Harvey C; Resosudarmo P. 1995. Environmental and economic costs of soil erosion and conservation benefits. Sci., 267(5201), 1117-1123. doi:10.1126/science.267.5201.1117.

Rai S C; Sharma E. 1998. Comparative assessment of runoff patterns within a Himalayan watershed. Hydrol. Process., 12, 2235-2248.

Ranjan A; Denis D M. 2018. Estimation of runoff generating capacity of a small watershed. J. Pharm. Innov., 7(5), 148-158.

Rawat K S; Singh S K. 2017. Estimation of surface runoff from semi-arid ungauged agricultural watershed using SCS-CN method and earth observation data sets. Water Conserv. Sci. Eng., 1, 233–247. https://doi.org/10.1007/s41101-017-0016-4

Riemersma S; Little J; Ontkean G; Moskal-Hébert T. 2006. Phosphorus sources and sinks in watersheds: A review. In: Alberta Soil Phosphorus Limits Project, Volume 5: Background Information and Reviews, Alberta Agriculture, Food and Rural Development, Lethbridge, Alberta, Canada, pp: 82.

Roy P. 2019. Application of USLE in a GIS environment to estimate soil erosion in the Irga watershed, Jharkhand, India. Phys. Geogr., 40(4), 361-383. DOI: 10.1080/02723646.2018.1550301

Sarangi A; Bhattacharya A K. 2005. Comparison of artificial neural network and regression models for sediment loss prediction from Banha watershed in India, Agric. Water Manage., 78(3), 195-208. https:// doi.org/10.1016/j.agwat.2005.02.001

Shalaby A;Tateishi R. 2007. Remote sensing and GIS for mapping and monitoring land cover and land use changes in the Northwestern coastal zone of Egypt. Appl. Geogr., 27, 28-41.

Singh A; Imtiyaz M; Isaac R K; Denis D M. 2012. Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India, Agric. Water Manage., 104, 113-120. https://doi.org/10.1016/j.agwat.2011.12.005

Singh A K; Das B; Mali S S; Bhavana P; Shinde R; Bhatt B P. 2020. Intensification of rice-fallow cropping systems in the Eastern Plateau region of India: Diversifying cropping systems and climate risk mitigation. Clim. Dev. 12(9), 791-800. http://10.1080/17565529.2019.1696735

Singh R K; Chaudhary R S; Somasundaram J; Sinha N K; Mohanty M; Hati K M; Rashmi I; Patra A K; Chaudhary S K; Lal R. 2020. Soil and nutrients losses under different crop covers in vertisols of Central India. J. Soils Sed., 20, 609–620. https://doi.org/10.1007/s11368-019-02437-w

Singh S; Mishra A. 2012. Spatiotemporal analysis of the effects of forest covers on water yield in the Western Ghats of peninsular India. J. Hydrol., 446-447:24-34. http://dx.doi.org/10.1016/j.jhydrol.2012.04.021

Subbiah B; Asija G L. 1956. A rapid procedure for estimation of available nitrogen in soils. Curr. Sci., 25, 259-260.

Subramanya K. 2008. Engineering Hydrology. Third Ed., Tata McGraw-Hill Publishing Company Limited, New Delhi, India, pp:450.

Teixeira L C; De Paiva J B D; Da Silva Pereira J E; De Moura Lisbôa R. 2016. Relationship between turbidity and suspended sediment concentration from a small hydrographic basin in Santa Maria (Rio Grande do Sul, Brazil). Int. J. River Basin Manage., 14(4), 393- 399. DOI: 10.1080/15715124.2016.1198911

Tilahun S A; Ayana E K; Guzman C D; Dagnew D C; Zegeye A D; Tebebu T Y; Yitaferu B; Steenhuis T S. 2016. Revisiting storm runoff processes in the upper Blue Nile basin: The Debre Mawi watershed. Catena., 143, 47-56.

Van der Molen D T; Breeuwsma A; Boers P C M. 1998. Agricultural nutrient losses to surface water in the Netherlands: Impact, strategies, and perspectives. J. Environ. Quality., 27, 4-11.

Velásquez-Valle M A; Sánchez-Cohen I; Hawkins R H; Serna-Pérez A; Gutiérrez-Luna R; PedrozaSandoval A. 2017. Rainfall-runoff relationships in a semiarid rangeland watershed in central Mexico, based on the CN-NRCS approach. Model. Earth Syst. Environ., 3, 1263-1272. https://doi.org/10.1007/s40808-017-0379-8

Wang W; Wu X; Yin C; Xie X. 2019. Nutrition loss through surface runoff from slope lands and its implications for agricultural management. Agric. Water Manage., 212, 226-231.

Xin Z B; Yu X X; Lu X X. 2010. Factors controlling sediment yield in China’s Loess Plateau. Earth Surf. Proc. Land., 10.1002/esp.2109.

Zhu B; Wang Z; Wang T; Dong Z. 2012. Non-pointsource nitrogen and phosphorus loadings from a small watershed in the three gorges reservoir area. J. Sci., 9(1), 10-15.

Published

2022-11-07

Issue

Section

Regular Issue

How to Cite

S. S. Mali, S. K. Naik, D. K. Raghav, Omkar Kumar, & A. K. Singh. (2022). Runoff, Sediment and Nutrients Loss from Two Small Watersheds in Eastern Plateau and Hill Region of India. Journal of Agricultural Engineering (India), 58(2). https://doi.org/10.52151/jae2021581.1742