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A pollution fate and transport model application in a semi-arid region: Is some number better than no number?

机译:半干旱地区的污染归宿和运输模型应用:某个数字总比没有数字好吗?

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摘要

Fate and transport models are powerful tools that aid authorities in making unbiased decisions for developing sustainable management strategies. Application of pollution fate and transport models in semi-arid regions has been challenging because of unique hydrological characteristics and limited data availability. Significant temporal and spatial variability in rainfall events, complex interactions between soil, vegetation and topography, and limited water quality and hydrological data due to insufficient monitoring network make it a difficult task to develop reliable models in semi-arid regions. The performances of these models govern the final use of the outcomes such as policy implementation, screening, economical analysis, etc. In this study, a deterministic distributed fate and transport model, SWAT, is applied in Lake Mogan Watershed, a semi-arid region dominated by dry agricultural practices, to estimate nutrient loads and to develop the water budget of the watershed. To minimize the discrepancy due to limited availability of historical water quality data extensive efforts were placed in collecting site-specific data for model inputs such as soil properties, agricultural practice information and land use. Moreover, calibration parameter ranges suggested in the literature are utilized during calibration in order to obtain more realistic representation of Lake Mogan Watershed in the model. Model performance is evaluated using comparisons of the measured data with 95%CI for the simulated data and comparison of unit pollution load estimations with those provided in the literature for similar catchments, in addition to commonly used evaluation criteria such as Nash-Sutcliffe simulation efficiency, coefficient of determination and percent bias. These evaluations demonstrated that even though the model prediction power is not high according to the commonly used model performance criteria, the calibrated model may provide useful information in the comparison of the effects of different management practices on diffuse pollution and water quality in Lake Mogan Watershed.
机译:命运和运输模型是强大的工具,可以帮助当局为制定可持续管理策略做出公正的决定。由于独特的水文特征和有限的数据可用性,在半干旱地区应用污染归宿和运输模型一直具有挑战性。降雨事件的时空变化很大,土壤,植被和地形之间的复杂相互作用,以及由于监测网络不足而导致的有限的水质和水文数据,在半干旱地区开发可靠的模型是一项艰巨的任务。这些模型的性能决定着最终结果的使用,例如政策实施,筛选,经济分析等。在这项研究中,在半干旱地区的莫干湖流域应用了确定性的分布式命运和运输模型SWAT在干旱的农业实践中占主导地位,以估算养分含量并制定流域的水预算。为了最大程度地减少由于历史水质数据的可用性而造成的差异,在收集特定于模型的数据(例如土壤性质,农业实践信息和土地使用)的特定地点的数据方面付出了巨大的努力。此外,在校准过程中利用了文献中建议的校准参数范围,以便在模型中更真实地表示莫干湖流域。除了通常使用的评估标准(例如Nash-Sutcliffe模拟效率)外,还使用测量数据与95%CI的模拟数据进行比较,并将单位污染负荷估算与文献中针对类似流域的估算进行比较,从而评估模型性能。确定系数和偏差百分比。这些评估表明,即使根据常用的模型性能标准,模型预测能力不高,经过校准的模型仍可在比较不同管理实践对莫干湖流域的弥漫性污染和水质的影响时提供有用的信息。

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