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Assessing the Relative and Combined Impacts of Future Land-Use and Climate Changes on Nonpoint Source Pollution

机译:评估未来土地利用和气候变化对面源污染的相对和综合影响

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In this paper, we discuss the potential water quality impacts of future land-use and climate changes. The Little Miami River Basin was used as a case study. It is a predominantly agricultural watershed in southwestern Ohio (USA) that has experienced land-use modifications. We investigate the impacts on a suite of nonpoint source pollutants, including phosphorus, nitrate, sediment, pesticides/herbicides, and fecal coliform. Quantification of these impacts is important to our understanding of the magnitude of the adjustments that need to be made to current water resource allocations under future environmental conditions. Future land-use conditions in the watershed are derived from the existing future land-use development plans of the eleven counties comprising the watershed. Future climate changes are simulated using results from recent Global Circulation Models. The future hydrologic and water quality conditions were modeled using a continuous, long-term, watershed-scale hydrological model, SWAT (Soil and Water Assessment Tool). The model is first calibrated and validated based on existing monitoring data. The model is then used to quantify the changes in both water quality and quantity, which would occur under the projected future climate and land-use conditions. Preliminary results indicate that the eutrophication problem in the watershed is due to an overabundance of phosphorus; however, under future climate and land-use conditions, the total phosphorus concentration can decrease from 3.0 mg/L to 1.21 mg/L. This information is useful as it can be used to guide the development of future mitigation strategies in the watershed
机译:在本文中,我们讨论了未来土地利用和气候变化对水质的潜在影响。以小迈阿密河流域为例。它是俄亥俄西南部(美国)的主要农业流域,其土地用途已发生变化。我们调查了对一系列非点源污染物的影响,包括磷,硝酸盐,沉积物,农药/除草剂和粪便大肠菌。量化这些影响对于我们理解未来环境条件下需要对当前水资源分配进行的调整幅度非常重要。该流域的未来土地利用条件来自组成该流域的十一个县的现有未来土地利用发展计划。使用最新的全球循环模型的结果模拟了未来的气候变化。未来的水文和水质状况使用连续,长期,分水岭规模的水文模型SWAT(土壤和水评估工具)进行建模。首先根据现有监控数据对模型进行校准和验证。然后,使用该模型量化水质和水量的变化,这些变化将在预计的未来气候和土地使用条件下发生。初步结果表明,该流域的富营养化问题是由于磷过剩造成的。但是,在未来的气候和土地利用条件下,总磷浓度可以从3.0 mg / L降至1.21 mg / L。此信息很有用,因为它可以用来指导分水岭未来缓解策略的发展

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