메뉴 건너뛰기




Volumn 8, Issue 4, 2016, Pages

Application of large-scale, multi-resolution watershed modeling framework using the Hydrologic and Water Quality System (HAWQS)

Author keywords

Decision support system; Model calibration; SWAT; Watershed modeling; Web based application

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DECISION SUPPORT SYSTEMS; ENVIRONMENTAL PROTECTION AGENCY; POLLUTION CONTROL; RIVER POLLUTION; SEDIMENT TRANSPORT; WATER POLLUTION; WATER POLLUTION CONTROL; WATER QUALITY; WATERSHEDS; WEBSITES;

EID: 84965179547     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w8040164     Document Type: Article
Times cited : (45)

References (38)
  • 1
    • 84893724243 scopus 로고    scopus 로고
    • Changes in hydrology and streamflow as predicted by a modelling experiment forced with climate models
    • Jha, M.K.; Gassman, P.W. Changes in hydrology and streamflow as predicted by a modelling experiment forced with climate models. Hydrol. Process. 2014, 28, 2772-2781.
    • (2014) Hydrol. Process , vol.28 , pp. 2772-2781
    • Jha, M.K.1    Gassman, P.W.2
  • 3
    • 67349133346 scopus 로고    scopus 로고
    • A top-down framework for watershed model evaluation and selection under uncertainty
    • Bai, Y.; Wagener, T.; Reed, P. A top-down framework for watershed model evaluation and selection under uncertainty. Environ. Model. Softw. 2009, 24, 901-916.
    • (2009) Environ. Model. Softw , vol.24 , pp. 901-916
    • Bai, Y.1    Wagener, T.2    Reed, P.3
  • 4
    • 84901280542 scopus 로고    scopus 로고
    • Determination of cost coefficients of a priority-based water allocation linear programming model-A network flow approach
    • Chou, F.N.-F.; Wu, C.-W. Determination of cost coefficients of a priority-based water allocation linear programming model-A network flow approach. Hydrol. Earth Syst. Sci. 2014, 18, 1857-1872.
    • (2014) Hydrol. Earth Syst. Sci , vol.18 , pp. 1857-1872
    • Chou, F.N.-F.1    Wu, C.-W.2
  • 5
    • 76749118526 scopus 로고    scopus 로고
    • On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information
    • Winsemius, H.C.; Schaefli, B.; Montanari, A.; Savenije, H.H.G. On the calibration of hydrological models in ungauged basins: A framework for integrating hard and soft hydrological information. Water Resour. Res. 2009, 45, 1-15.
    • (2009) Water Resour. Res , vol.45 , pp. 1-15
    • Winsemius, H.C.1    Schaefli, B.2    Montanari, A.3    Savenije, H.H.G.4
  • 10
    • 84965151875 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • Iowa State University, Center for Agricultural and Rural Development, SWAT Literature Database for Peer-Reviewed Journal Articles. Available online: https://www.card.iastate.edu/swat_articles/(accessed on 19 February 2016).
  • 12
    • 34447500396 scopus 로고    scopus 로고
    • Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
    • Moriasi, D.N.; Arnold, J.G.; Liew, M.W.V.; Bingner, R.L.; Harmel, R.D.; Veith, T.L. Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations. Trans. ASABE 2007, 50, 885-900.
    • (2007) Trans. ASABE , vol.50 , pp. 885-900
    • Moriasi, D.N.1    Arnold, J.G.2    Liew, M.W.V.3    Bingner, R.L.4    Harmel, R.D.5    Veith, T.L.6
  • 13
    • 84953857641 scopus 로고    scopus 로고
    • Hydrologic and water quality models: Performance measures and criteria
    • Moriasi, D.N.; Gitau, G.W.; Pai, N.; Daggupati, P. Hydrologic and water quality models: Performance measures and criteria. Trans. ASABE 2015, 58, 1763-1785.
    • (2015) Trans. ASABE , vol.58 , pp. 1763-1785
    • Moriasi, D.N.1    Gitau, G.W.2    Pai, N.3    Daggupati, P.4
  • 14
    • 84893373504 scopus 로고    scopus 로고
    • A framework for propagation of uncertainty contributed by input data, parameterization, model structure, and calibration/validation data in watershed modeling
    • Yen, H.; Wang, X.; Fontane, D.G.; Arabi, M.; Harmel, R.D. A framework for propagation of uncertainty contributed by input data, parameterization, model structure, and calibration/validation data in watershed modeling. Environ. Model. Softw. 2014, 54.
    • (2014) Environ. Model. Softw , pp. 54
    • Yen, H.1    Wang, X.2    Fontane, D.G.3    Arabi, M.4    Harmel, R.D.5
  • 16
    • 84931034290 scopus 로고    scopus 로고
    • Computational procedure for evaluating sampling techniques on watershed model calibration
    • Yen, H.; Jeong, J.; Tseng, W-H.; Kim, M-K.; Records, R.M.; Arabi, M. Computational procedure for evaluating sampling techniques on watershed model calibration. J. Hydrol. Eng. 2015, 20.
    • (2015) J. Hydrol. Eng , pp. 20
    • Yen, H.1    Jeong, J.2    Tseng, W.-H.3    Kim, M.-K.4    Records, R.M.5    Arabi, M.6
  • 17
    • 33646082996 scopus 로고    scopus 로고
    • Data model for a decision support in comprehensive nutrient management in the United States
    • De, S.; Bezuglov, A. Data model for a decision support in comprehensive nutrient management in the United States. Environ. Modell. Softw. 2006, 21, 852-867.
    • (2006) Environ. Modell. Softw , vol.21 , pp. 852-867
    • De, S.1    Bezuglov, A.2
  • 19
    • 84965134088 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • TexasA&MUniversity. Hydrologic andWater Quality System. Availalble online: https://epahawqs.tamu.edu/(accessed on 19 February 2016).
    • Hydrologic andWater Quality System
  • 20
    • 0027334377 scopus 로고
    • A comprehensive surfacegroundwater flow model
    • Arnold, J.G.; Allen, P.M.; Bernhardt, G. A comprehensive surfacegroundwater flow model. J. Hydrol. 1993, 142, 47-69.
    • (1993) J. Hydrol , vol.142 , pp. 47-69
    • Arnold, J.G.1    Allen, P.M.2    Bernhardt, G.3
  • 21
    • 34347208316 scopus 로고    scopus 로고
    • The soil and water assessment tool: Historical development, applications and future research directions
    • Gassman, P.W.; Reyes, M.R.; Green, C.H.; Arnold, J.G. The soil and water assessment tool: Historical development, applications and future research directions. Trans. Am. Soc. Agric. Biol. Eng. 2007, 50, 1211-1250.
    • (2007) Trans. Am. Soc. Agric. Biol. Eng , vol.50 , pp. 1211-1250
    • Gassman, P.W.1    Reyes, M.R.2    Green, C.H.3    Arnold, J.G.4
  • 22
    • 84954398377 scopus 로고    scopus 로고
    • Impact of model development, calibration and validation decisions on hydrological simulations in West Lake Erie Basin
    • Daggupati, P.; Yen, H.; White, M.J.; Srinivasan, R.; Arnold, J.G.; Keitzer, C.S.; Sowa, S.P. Impact of model development, calibration and validation decisions on hydrological simulations in West Lake Erie Basin. Hydrol. Process. 2015, 29, 5307-5320.
    • (2015) Hydrol. Process , vol.29 , pp. 5307-5320
    • Daggupati, P.1    Yen, H.2    White, M.J.3    Srinivasan, R.4    Arnold, J.G.5    Keitzer, C.S.6    Sowa, S.P.7
  • 25
    • 84965136767 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Department of Agriculture, Natural Resources Conservation Practices, Climate-Parameter-elevation Regressions on Independent Slopes Model (PRISM). Available online: http://www.wcc.nrcs.usda.gov/climate/prism.html (accessed on 19 February 2016).
  • 26
    • 84965136680 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Geological Survey, Land Use (non-agricultural)-National Land Cover Database (NLCD). Available online: http://www.mrlc.gov/nlcd06_data.php (accessed on 19 February 2016).
  • 27
    • 84965139602 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Department of Agriculture; National Agricultural Statistics Service (NASS). Land Use-Cropland Data Layer (Agricultural). Available online: http://nassgeodata.gmu.edu/CropScape/(accessed on 19 February 2016).
    • Land Use-Cropland Data Layer (Agricultural)
  • 28
    • 84965105360 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Corps pf Engineers, Reservoirs-National Inventory of Dams (NID). Available online: http://nid.usace.army.mil/cm_apex/f?p=838:5:0::NO (accessed on 19 February 2016).
  • 29
    • 84965180538 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Geological Survey, River Discharge Data. Available online: http://waterdata.usgs.gov/nwis (accessed on 19 February 2016).
  • 30
    • 84965109473 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Department of Agriculture, Natural Resources Conservation Practices, State Soil Geographic Data. Available online: http://sdmdataaccess.nrcs.usda.gov/(accessed on 19 February 2016).
  • 31
    • 84965142782 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Geological Survey, Global Data Explorer. Available online: http://gdex.cr.usgs.gov/gdex/(accessed on 19 February 2016).
  • 32
    • 84965107958 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • United States Geological Survey, Water Usage Data. Available online: http://water.usgs.gov/watuse/data/(accessed on 19 February 2016).
  • 33
    • 84894054313 scopus 로고    scopus 로고
    • SWAT Check: A screening tool to assist users in the identification of potential model application problems
    • Michael, W.; Harmel, J.; Daren, R.; Arnold, J.G.; Williams, J.R. SWAT Check: A screening tool to assist users in the identification of potential model application problems. J. Environ. Qual. 2014, 43, 208-214.
    • (2014) J. Environ. Qual , vol.43 , pp. 208-214
    • Michael, W.1    Harmel, J.2    Daren, R.3    Arnold, J.G.4    Williams, J.R.5
  • 35
    • 84965177334 scopus 로고    scopus 로고
    • (accessed on 19 February 2016)
    • Illinois Environmental Protection Agency. Water Quality for Citizens. Available online: http://www.epa.illinois.gov/(accessed on 19 February 2016).
    • Water Quality for Citizens
  • 37
    • 0014776873 scopus 로고
    • River flow forecasting through conceptual models part I-A discussion of principles
    • Nash, J.E.; Sutcliffe, J.V. River flow forecasting through conceptual models part I-A discussion of principles. J. Hydrol. 1970, 10, 282-290.
    • (1970) J. Hydrol , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.