A national-scale GIS-based system for modelling impacts of land use on water quality

被引:42
作者
Elliott, Alexander H. [1 ]
Semadeni-Davies, Annette F. [2 ]
Shankar, Ude [3 ]
Zeldis, John R. [3 ]
Wheeler, David M. [4 ]
Plew, David R. [3 ]
Rys, Gerald J. [5 ]
Harris, Simon R. [6 ]
机构
[1] Natl Inst Water & Atmospher Res Ltd, Gate 10 Silverdale Rd, Hamilton 3216, New Zealand
[2] Natl Inst Water & Atmospher Res Ltd, 41 Market Pl, Viaduct Harbour 1010, Auckland Centra, New Zealand
[3] Natl Inst Water & Atmospher Res Ltd, 10 Kyle St, Christchurch 8011, New Zealand
[4] AgResearch, Ruakura Res Ctr, Bisley Rd, Hamilton 3240, New Zealand
[5] Minist Primary Ind, Pastoral House,25 Terrace, Wellington, New Zealand
[6] LWP Ltd, POB 70, Lyttelton 8841, New Zealand
关键词
Land use; Mitigation; Water quality model; Nutrients; Sediment; E; coli; Geographical information system; DECISION-SUPPORT-SYSTEMS; NEW-ZEALAND; FRAMEWORK; MANAGEMENT;
D O I
10.1016/j.envsoft.2016.09.011
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 Sustain ability) 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. co/i, and concentration of nutrients throughout New Zealand (268,000 km(2)) with a subcatchment resolution of 0.5 km(2). 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. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:131 / 144
页数:14
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