Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mauro Di Luzio"'
Publikováno v:
Journal of Geographic Information System. :267-278
Water quality modeling requires across-scale support of combined digital soil elements and simulation parameters. This paper presents the unprecedented development of a large spatial scale (1:250,000) ArcGIS geodatabase coverage designed as a functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca46ff950169cdf72fa9aadda8e1f7b
https://doi.org/10.4236/jgis.2017.93016
https://doi.org/10.4236/jgis.2017.93016
Publikováno v:
American Journal of Environmental Sciences. 11:313-324
The goal of this study was to assess potential nitrogen and phosphorus contribution from point sources and non-point sources in North East Cape Fear River (NECFR) watershed in North Carolina. A watershed scale hydrologic model, Soil and Water Assessm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ce3c0544c7d378aeec2aa2d312fc3c
https://doi.org/10.3844/ajessp.2015.313.324
https://doi.org/10.3844/ajessp.2015.313.324
Autor:
Thomas J. Gerik, Jeffrey G. Arnold, Robert L. Kellogg, C. Santhi, Mauro Di Luzio, Jay D. Atwood, James Williams, Lee Norfleet, Susan X Wang, Michael White, Narayanan Kannan
Publikováno v:
Transactions of the ASABE. :1339-1357
Agriculture in the Mississippi-Atchafalaya River basin (MARB) is important in terms of both the national economy and the nutrients discharged to the basin and the Gulf of Mexico. Conservation practices are installed on cropland to reduce the nutrient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::611372f31dd5dde7bc8067003ba3eff2
https://doi.org/10.13031/trans.57.10458
https://doi.org/10.13031/trans.57.10458
Autor:
Michael B. Smith, Victor Koren, Ziya Zhang, Yu Zhang, Seann M. Reed, Zhengtao Cui, Fekadu Moreda, Brian A. Cosgrove, Naoki Mizukami, Eric A. Anderson, Vazken Andreassian, Julien Lerat, Cecile Loumagne, Charles Perrin, Pierre Ribstein, Hoshin V. Gupta, Koray K. Yilmaz, Prafulla Pokhrel, Thorsten Wagener, Michael Butts, Keiko Yamagata, Soroosh Sorooshian, Behnaz Khakbaz, Alireza Behrangi, Kuolin Hsu, Bisher Imam, Florimond De Smedt, Ali Safari, Mohsen Tavakoli, Lan Li, Xin Wang, Jian Wu, Chao Yang, Mengfei Yang, Zhongbo Yu, Thian Gan, Zahidul Islam, Baxter Vieux, Jonathan Looper, Youlong Xia, Kenneth Mitchell, Michael Ek, Neil McIntyre, Barbara Orellana, Murugesu Sivapalan, Hongyi Li, Fuqiang Tian, Jae Ryu, Jeff Arnold, Gerald Whittaker, Remegio Confesor, Mauro Di Luzio
Publikováno v:
Journal of Hydrology. :17-48
Phase 2 of the Distributed Model Intercomparison Project (DMIP 2) was formulated primarily as a mechanism to help guide the US National Weather Service (NWS) as it expands its use of spatially distributed watershed models for operational river, flash
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c3a4df8b8b3bb5c4fbd21d042766d8
https://doi.org/10.1016/j.jhydrol.2011.08.056
https://doi.org/10.1016/j.jhydrol.2011.08.056
Publikováno v:
Journal of Applied Meteorology and Climatology. 47:475-497
This paper presents and evaluates a method for the construction of long-range and wide-area temporal spatial datasets of daily precipitation and temperature (maximum and minimum). This method combines the interpolation of daily ratios/fractions deriv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3638f91834f6c4e2203cc3c152328246
https://doi.org/10.1175/2007jamc1356.1
https://doi.org/10.1175/2007jamc1356.1
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 43:2396-2404
Satellite-based land-cover datasets are required for various environmental studies. Two of the most widely used land-cover datasets for the U.S. are the National Land-Cover Data (NLCD) at 30-m resolution and the Global Land-Cover Characteristics (GLC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ac9b81a2b25b229aa5a0cbb9ad3b036
https://doi.org/10.1109/tgrs.2005.854308
https://doi.org/10.1109/tgrs.2005.854308
Publikováno v:
Hydrological Processes. 19:629-650
Simulations of total runoff and fine sediment yield in Goodwin Creek watershed, which covers 21Ð 3k m 2 in Mississippi, were carried out using a hydrological model-GIS system. The system includes the recently released Soil and Water Assessment Tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::884847d958379ee718ff3d7082bab678
https://doi.org/10.1002/hyp.5612
https://doi.org/10.1002/hyp.5612
Autor:
Jack Kittle, Laura Weintraub, Roger Copp, Rajeev Jain, Paul Freedman, Mauro Di Luzio, Tad Slawecki, Peter DeGolian, Del Bottcher
Publikováno v:
Proceedings of the Water Environment Federation. 2005:903-933
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::103342e0e0906643e6f4380cd969b781
https://doi.org/10.2175/193864705783967179
https://doi.org/10.2175/193864705783967179
Autor:
Jeffrey G. Arnold, Mauro Di Luzio
Publikováno v:
Journal of Hydrology. 298:136-154
This paper describes the background, formulation and results of an hourly input–output calibration approach proposed for the Soil and Water Assessment Tool (SWAT) watershed model, presented for 24 representative storm events occurring during the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::351387f2417866b4ee8b34dc3aa697f9
https://doi.org/10.1016/j.jhydrol.2004.03.034
https://doi.org/10.1016/j.jhydrol.2004.03.034
Publikováno v:
Transactions in GIS. 8:113-136
This paper introduces AVSWAT, a GIS based hydrological system linking the Soil and Water Assessment Tool (SWAT) water quality model and ArcView Geographic Information System software. The main purpose of AVSWAT is the combined assessment of nonpo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f40f1d6038172f68e87f1279e548852
https://doi.org/10.1111/j.1467-9671.2004.00170.x
https://doi.org/10.1111/j.1467-9671.2004.00170.x