A national-scale GIS-based system for modelling impacts of land use on water quality |
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| Affiliation: | 1. Department of Economics and Management, Università degli Studi di Brescia, via San Faustino 74B, 25122 Brescia, Italy;2. FEEM - Fondazione Eni Enrico Mattei, Milan, Italy;3. Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, USA;4. Department of Molecular and Translational Medicine, Università degli Studi di Brescia, Brescia, Italy;1. International Crops Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, Telangana 502324, India;2. Agricultural and Biological Engineering (ABE) Department, SWFREC, University of Florida (UF), Immokalee, FL 34142, United States;3. University of Florida (UF) Water Institute and Agricultural and Biological Engineering (ABE) Department, University of Florida (UF), Gainesville, FL 32611, United States;4. International Crops Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, Telangana 502324, India;5. Agricultural and Biological Engineering (ABE) Department, University of Florida (UF), Gainesville, FL 32611, United States;6. Department of Environmental Engineering Sciences, University of Florida (UF), Gainesville, FL 32611, United States |
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| Abstract: | Management of freshwater quality requires modelling tools for rapid evaluation of land use and management scenarios. This paper presents the CLUES (Catchment Land Use and Environmental Sustainability) model to address this need. CLUES provides steady state, spatially distributed, integrated catchment models tightly coupled to GIS software to predict mean annual loads of total nitrogen, total phosphorus, sediments and E. coli, and concentration of nutrients throughout New Zealand (268,000 km2) with a subcatchment resolution of 0.5 km2. CLUES also estimates potential nutrient concentrations for estuaries and provides key farm socio-economic indicators. The model includes a user interface for study area selection, scenario creation, data geo-visualisation, and export of results. It is pre-populated with spatial data and parameter values for New Zealand. Evaluation of the model and a summary of applications demonstrate the tractability and utility of national-scale rapid scenario assessment tools within a GIS framework. |
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| Keywords: | Land use Mitigation Water quality model Nutrients Sediment Geographical information system |
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