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Geospatial modeling for assessing the nutrient load of a Himalayan lake

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Abstract

This research makes use of the remote sensing, simulation modeling and field observations to assess the non-point source pollution load of a Himalayan lake from its catchment. The lake catchment, spread over an area of about 11 km2, is covered by different land cover types including wasteland (36%), rocky outcrops (30%), agriculture (12%), plantation (12.2%), horticulture (6.2%) and built-up (3.1%) The GIS-based distributed modeling approach employed relied on the use of geospatial data sets for simulating runoff, sediment, and nutrient (N and P) loadings from a watershed, given variable-size source areas, on a continuous basis using daily time steps for weather data and water balance calculations. The model simulations showed that the highest amount of nutrient loadings are observed during wet season in the month of March (905.65 kg of dissolved N, 10 kg of dissolved P, 10,386.81 kg of total N and 2,381.89 kg of total P). During the wet season, the runoff being the highest, almost all the excess soil nutrients that are trapped in the soil are easily flushed out and thus contribute to higher nutrient loading into the lake during this time period. The 11-year simulations (1994–2004) showed that the main source areas of nutrient pollution are agriculture lands and wastelands. On an average basis, the source areas generated about 3,969.66 kg/year of total nitrogen and 817.25 kg/year of total phosphorous. Nash–Sutcliffe coefficients of correlation between the daily observed and predicted nutrient load ranged in value from 0.80 to 0.91 for both nitrogen and phosphorus.

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References

  • Amy G, Pitt R, Singh R, Bradford WL, LaGrafti MB (1974) Water quality management planning for urban runoff. US Environmental Protection Agency, Washington, DC (EPA-440/9-75-004)

    Google Scholar 

  • Arhounditsis G, Giourga C, Loumou A, Koulouri M (2002) Quantitative assessment of agricultural runoff and soil erosion using mathematical modelling: application in the Mediterranean Region. Environ Manag 30(3):434–453

    Article  Google Scholar 

  • ASCE (Task Committee on Definition of Criteria for Evaluation of Watershed Models of the Watershed Management Committee, Irrigation and Drainage Division) (1993) Criteria for evaluation of watershed models. J Irrig Drain Eng 199(3)

  • Baddar B, Romhoo SA (2007) Modeling the non-point source pollution in the Dal Lake catchment using geospatial tools. J Environ Dev 2(1):21–30

    Google Scholar 

  • Bagnolus F, Meher-Homji VM (1959) Bioclimatic types of southeast Asia. Travaux de la Section Scientific at Technique Institut Franscis de Pondicherry, 227

  • Burrough PA (1986) Principles of geographic information systems for land resources assessment. Oxford Press, Oxford

    Google Scholar 

  • EPA (2003a) Modelling report for Wissahickon Creek, Pennsylvania. Siltation TDML Development Final Report. US Environmental Protection Agency, Philadelphia, Pennsylvania

  • EPA (2003b) Nutrient and sediment TMDAL development for the unnamed tributary to Bush run and upper portions of Bush Run Allegheny and Washington counties. United States Environmental Protection Agency, Philadelphia

    Google Scholar 

  • Evans BM, Corradini KJ (2007) PRedICT Version 2.0: users guide for the pollutant reduction impact comparison tool. Penn State Institute of Energy and Environment, The Pennsylvania State University, pp 44

  • Evans BM, Lehning DW, Corradini KJ, Petersen GW, Nizeyimana E, Nizeyimana E, Hamlett JM, Robillard PD, Day RL (2002) A comprehensive GIS-based modelling approach for predicting nutrient load in watershed. Spat Hydrol 2(2):1–18

    Google Scholar 

  • Evans BM, Lehning DW, Corradini KJ (2008) AVGWLF Version 7.1: users guide. Penn State Institute of Energy and Environment, The Pennsylvania State University, University Park, PA, USA, pp 117

  • FAO (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56, Rome

  • Frankenberger JR, Brooks ES, Walter MT, Walter MF, Steenhuis TS (1999) A GIS-based variable source area hydrology model. Hydrol Process 13:805–822

    Article  Google Scholar 

  • Ghosh AB, Bajaj JC, Hason R, Singh D (1983) Soil and water testing methods: a laboratory manual. IARI, New Delhi

    Google Scholar 

  • Haan CT (1972) A water yield model for small watersheds. Water Resour Res 8(1):58–69

    Article  Google Scholar 

  • Haith DA (1987) Evaluation of daily rainfall erosivity model. Trans Am Soc Agric Eng 30(1):90–93

    Google Scholar 

  • Haith DA, Shoemaker LL (1987) Generalized watershed loading functions for stream flow nutrients. Water Resour Bull 23(3):471–478

    Google Scholar 

  • Haith DA, Mandel R, Shyan WR (1992) Generalized watershed loading functions model: users manual. Ithaca, New York, USA, pp 148–153

  • Hamon WR (1961) Estimating potential evapotranspiration. ASCE J Hydraul Div 87(3HY):107–120

    Google Scholar 

  • Hartkamp AD, White JW, Hoogenboom G (1999) Interfacing geographic information system with agronomic modeling: a review. Agron J 91:761–772

    Article  Google Scholar 

  • Hession CW, Shanholtz VO (1988) A geographic information system for targeting nonpoint source agricultural pollution. J Soil Water Conserv 43:264–266

    Google Scholar 

  • Hinaman KC (1993) Use of geographic information systems to assemble input-data sets for a finite difference model of ground water flow. Water Resour Bull 29:401–405

    Google Scholar 

  • Jeelani G, Shah AQ (2006) Geochemical characterization of water and sediment from the Dal Lake, Kashmir Himalaya, India: constraints on weathering and anthropogenic activity. Env Geol 50:12–23

    Article  Google Scholar 

  • Jeelani G, Shah AQ (2007) Hydrochemistry of Dal Lake of Kashmir Valley. J Appl Geochem 9(1):120–134

    Google Scholar 

  • Johnes PJ (1999) Understanding lake and catchment history as a tool for integrated lake management. Hydrobiologia 396:41–60

    Article  Google Scholar 

  • Kaul V (1977) Limnological survey of Kashmir lakes with reference to tropic status and conservation. Int J India Environ Sci 3:29–44

    Google Scholar 

  • Kaul V (1979) Water characteristics of some fresh water bodies of Kashmir. Curr Trends Life Sci 9:221–246

    Google Scholar 

  • Kaul V, Handoo JK, Qadri BA (1977) Seasons of Kashmir. Geogr. Rev. India. 41(2):123–130

    Google Scholar 

  • Khan MA (2000) Anthropogenic eutrophication and red tide outbreak in lacustrine systems of the Kashmir Himalaya. Acta Hydrochim Hydrobiol (Weinheim) 28:95–101

    Google Scholar 

  • Khan MA (2008) Chemical environment and nutrient fluxes in a flood plain wetland ecosystem, Kashmir Himalayas, India. Indian For 134(4):505–514

    Google Scholar 

  • Khan S, Romshoo SA (2008) Integrated analysis of geomorphic, pedologic and remote sensing data for digital soil mapping. J Himal Ecol Sustain Dev 3(1):39–50

    Google Scholar 

  • Koul VK, Davis W, Zutshi DP (1990) Calcite super-saturation in some subtropical Kashmir Himalayan lakes. Hydrobiologia 192(2–3):215–222

    Article  Google Scholar 

  • Kuo JT, Wu JH (1994) A nutrient model for a lake with time variable volumes. Water Sci Technol 24(6):133–139

    Google Scholar 

  • Lee KY, Fisher T, Rochelle NE (2001) Modeling the hydrochemistry of the Choptank River basin using GWLF and Arc/Info:2. Model validation and application. Biochemistry 56(3):311–348

    Google Scholar 

  • Liao H, Tim US (1997) An interactive modeling environment for nonpoint source pollution control. J Am Water Resour Assoc (JAWRA) 33(3):591–603

    Article  Google Scholar 

  • Lung WS (1986) Assessing phosphorous control in the James River Basin. J Environ Eng 112(1):44–60

    Article  Google Scholar 

  • Melesse AM, Weng Q, Prasad S, Thenkabail PS, Senay GB (2007) Remote sensing sensors and applications in environmental resource mapping and modeling. Sensor 7(12):3209–3241

    Article  Google Scholar 

  • Mitish WJ, Day JW, Gilliam JW (2001) Reducing nitrogen loading to the Gulf of Mexico from the Mississippi River Basin: strategies to counter a persistent ecological problem. Biosciences 5(5):373–388

    Article  Google Scholar 

  • Montanrella L, Jones RJ, Knijff JM (2000) Soil Erosion Risk Assessment in Europe. The European Soil Bureau

  • Moore ID, Grayson RB, Brursch GJ (1988) A contour-based topographic model for hydrological and ecological applications. Earth Surf Proc Landf 13:305–320

    Article  Google Scholar 

  • Muslim M, Romshoo SA, Bhat SA (2008) Modelling the pollution load of Manasbal Lake using remote sensing and GIS. In: Proceedings of the 4th annual symposium of the Indian Society of Geomatics (Geomatica 2008), Bhopal, India, 18–20 Feb, 2008

  • Nakamura F, Kameyama S, Mizugaki S (2004) Rapid shrinkage of Kushiro Mire, the largest mire in Japan, due to increased sedimentation associated with land-use development in the catchment. Catena 55(2):213–229

    Article  Google Scholar 

  • National Remote Sensing Agency (2003) IRS-P6 data user’s handbook. NRSA Report No. IRS-P6/NRSA/NDC/HB-10/03

  • Olivera F, Maidment DR (1999) Geographic information systems (GIS)-based spatially distributed model for runoff routing. Water Resour Res 35(4):1155–1164

    Article  Google Scholar 

  • Olivieri LJ, Schaal GM, Logan TJ, Elliot WJ, Motch B (1991) Generating AGNPS input using remote sensing and GIS. Paper 91–2622. American Society of Agricultural Engineers, St. Joseph, Michigan

    Google Scholar 

  • Omernik JM, Abermathy AR, Male LM (1981) Stream nutrient levels and proximity of agriculture and forest land to streams: some relationships. J Soil Water Conserv 36(4):227–231

    Google Scholar 

  • Osborne LL, Wiley MJ (1988) Empirical relationship between land use/cover and stream water quality in an agricultural watershed. J Environ Manag 26:9–27

    Google Scholar 

  • Pandit AK (1998) Trophic evolution of lakes in Kashmir Himalayas: conservation of lakes in Kashmir Himalayas. In: Pandit AK (ed) Natural resources in Kashmir Himalayas. Valley book House, Srinagar, Kashmir, pp 178–214

    Google Scholar 

  • Pavanelli D, Bigi A (2004) Indirect analysis method to estimate suspended sediment concentration: reliability and relationship of turbidity and settleable solids. Biosyst Eng 83:463–468

    Article  Google Scholar 

  • Perry J, Vanderklein E (1996) Water quality management of a natural resource. Blackwell Science, Cambridge, USA, p 639

    Google Scholar 

  • Prakash B, Teeter LD, Lockay BG, Flynn KM (2000) The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems. For Ecol Manag 128:65–73

    Article  Google Scholar 

  • Raterman B, Schaars FW, Giffioen M (2001) GIS and MATLAB integrated for ground water modeling. In: 21st annual ESRI international user conference, San Diego, California. Available at http://gis.esri.com/library/userconf/proc01/professional/papers/pap600/p600.htm. Accessed on 19 October 2004

  • Rodriguez E, Morris CS, Belz JE (2006) A global assessment of SRTM performance. Photogramm Eng Remote Sens 72:249–260

    Google Scholar 

  • Romshoo SA (2003) Radar remote sensing for monitoring of dynamic ecosystem processes related to the biogeochemical exchanges in tropical peatlands. Vis Geosci 8:63–82

    Google Scholar 

  • Saini RK, Swain S, Patra A, Geelani G, Gupta H, Purushothaman P, Chakrapani GJ (2008) Water chemistry of three Himalayan lakes: Dal (Jammu and Kashmir), Khajjiar (Himachal Pradesh) and Nainital (Uttarakhand). Himal Geol 29(1):63–72

    Google Scholar 

  • Sample DJ, Heaney JP, Wright LT, Koustas R (2001) Geographic information systems, decision support systems, and urban storm water management. J Water Resour Plan Manag 127(3):155–161

    Article  Google Scholar 

  • Sartor JD, Boyd GB (1972) Water pollution aspects of street surface contaminants. EPA-R2/72-081, US Environmental Protection Agency, Washington, DC

  • Schowengerdt R (1983) Techniques for image processing and classification in remote sensing. Academic, New York

    Google Scholar 

  • SCS (1986) Urban hydrology for small watersheds. Soil Conservation Services. 55 (2)

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

    Article  Google Scholar 

  • Steward BA, Woolhiser DA, Wischmeier WH, Carol JH, Frere MH (1975) Control of water pollution from cropland. US Environmental Protection Agency, Washington

    Google Scholar 

  • Strobe RO (2002) Water quality monitoring network design methodology for the identification of critical sampling points. PhD thesis, Department of Agriculture and Biological Engineering, The Pennsylvania State University, Pennsylvania

  • Thiemann S, Kaufmann H (2000) Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-IC satellite data in the Mecklenburg Lake District, Germany. Remote Sens Environ 73:235–277

    Article  Google Scholar 

  • Thomann RV, Mueller JA (1987) Principles of surface water quality modelling and control. Harper and Row, New York, p 644

    Google Scholar 

  • Thuman OE, Andrew, Rees TA (2003) Watershed and water quality modeling analytical report, Triad Engineering Incorporated, Indianapolis, Indaina, 46219

  • Tim US, Mostaghimi S, Shanholtz VO (1992) Identification of critical nonpoint pollution source areas using geographic information systems and water quality modeling. Water Resour Bull 28:877–887

    Google Scholar 

  • Tolson BA, Shoemaker CA (2007) Cannonsville reservoir watershed SWAT2000 model development, calibration and validation. J Hydrol 337(1–2):68–86

    Article  Google Scholar 

  • Toogood JA (1958) A simplified textural classification diagram. Can J Soil Sci 38:54–55

    Article  Google Scholar 

  • Trisal CL (1985) Trophic status of Kashmir Valley lakes. Geobios Spl. Vol-I.17179. In: Mishra SD, Sen DN, Ahmed I (eds) Proc Nat Sympos Evalua Environ, Jodhpur, India

  • Vanori VA (1975) Sediment engineering. American Society of Civil Engineers, New York

    Google Scholar 

  • Veihmeyer FJ, Hendricjson AH (1931) The moisture equivalent as a measure of the field capacity of soils. Soil Sci 32:181–194

    Article  Google Scholar 

  • Walkley A, Black IA (1934) An estimation of Degtijareff method for determination of soil organic matter and a proposed modification of the chronic acid titration method. Soil Sci 34:29–38

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses a guide to conservation planning. US Department of Agriculture, Washington, DC

    Google Scholar 

  • Wong KM, Strecker EW, Strenstrom MK (1997) GIS to estimate storm-water pollutant mass loadings. J Environ Eng 123(8):737–745

    Article  Google Scholar 

  • Young RA, Onstad CA, Bosch DD, Anderson WP (1989) AGNPS, a nonpoint source pollution model for evaluating agricultural watersheds. J Soil Water Conserv 44:168–173

    Google Scholar 

  • Young SA, Nakamura F, Mizugaki S (2008) Hydrology, suspended sediment dynamics and nutrient loading in Lake Takkobu, a degrading lake ecosystem in Kushiro Mire, Northern Japan. Environ Monit Assess 145:267–281

    Article  Google Scholar 

  • Yuksel A, Akay AE, Gundogan R, Reis M, Cetiner M (2008) Application of GeoWEPP for determining sediment yield and runoff in the Orcan Creek watershed in Kahramanmaras, Turkey. Sensors 8(2):1222–1236

    Article  Google Scholar 

  • Zollweg JA, Gburek WJ, Steenhuis TS (1996) SMoRMOD: a GIS integrated rainfall-runoff model. Trans ASAE 39:1299–1307

    Google Scholar 

  • Zutshi DP, Kaul V, Vass KK (1972) Limnological studies of high altitude Kashmir lakes. Verh Inter Verin Limnol 118:599–604

    Google Scholar 

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Acknowledgments

This study was funded by the Space Applications Center (SAC), Indian Space Research Organization (ISRO), India, under the National Wetland Inventory and Assessment project. The authors express gratitude to the anonymous reviewers and the editor for their valuable comments and suggestions on the earlier manuscript version that improved the content and structure of this manuscript.

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  1. Department of Geology and Geophysics, University of Kashmir, Hazratbal, Srinagar, 190006, Kashmir, India

    Shakil Ahmad Romshoo & Mohammad Muslim

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  1. Shakil Ahmad Romshoo
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Correspondence to Shakil Ahmad Romshoo.

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Romshoo, S.A., Muslim, M. Geospatial modeling for assessing the nutrient load of a Himalayan lake. Environ Earth Sci 64, 1269–1282 (2011). https://doi.org/10.1007/s12665-011-0944-9

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