Center for Advanced Land Management Information Technologies, School of Natural Resources, University of Nebraska-Lincoln, 3310 Holdrege Street, Lincoln, NE 68583-0973, United States.
Sci Total Environ. 2013 Mar 1;447:32-45. doi: 10.1016/j.scitotenv.2013.01.011. Epub 2013 Jan 31.
Modeling groundwater vulnerability to pollution is critical for implementing programs to protect groundwater quality. Most groundwater vulnerability modeling has been based on current hydrogeology and land use conditions. However, groundwater vulnerability is strongly dependent on factors such as depth-to-water, recharge and land use conditions that may change in response to future changes in climate and/or socio-economic conditions. In this research, a modeling framework, which employs three sets of models linked within a geographic information system (GIS) environment, was used to evaluate groundwater pollution risks under future climate and land use changes in North Dakota. The results showed that areas with high vulnerability will expand northward and/or northwestward in Eastern North Dakota under different scenarios. GIS-based models that account for future changes in climate and land use can help decision-makers identify potential future threats to groundwater quality and take early steps to protect this critical resource.
对地下水污染脆弱性进行建模是实施保护地下水质量计划的关键。大多数地下水脆弱性建模都是基于当前的水文地质和土地利用条件。然而,地下水脆弱性强烈依赖于水深、补给和土地利用等因素,这些因素可能会随着未来气候和/或社会经济条件的变化而发生变化。在这项研究中,采用了一种建模框架,该框架在地理信息系统(GIS)环境中使用三套模型,评估了北达科他州未来气候和土地利用变化下的地下水污染风险。结果表明,在不同情景下,北达科他州东部高脆弱性地区将向北和/或西北方向扩展。考虑未来气候和土地利用变化的基于 GIS 的模型可以帮助决策者识别未来对地下水质量的潜在威胁,并采取早期措施来保护这一关键资源。