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首页> 外文期刊>Agricultural Water Management >Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy.
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Determining potential rainwater harvesting sites using a continuous runoff potential accounting procedure and GIS techniques in central Italy.

机译:使用意大利中部的连续径流潜在核算程序和GIS技术确定潜在的雨水收集地点。

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摘要

The "Eight Communities of the Chianti" area, Tuscany, Italy, receives an average annual rainfall of 700-800 mm, mainly between September and December. Nevertheless, the storage capacity of the soil is not sufficient to fulfill agricultural requirements, resulting in a shortage of water from May to September almost every year. Runoff harvesting structures like farm ponds can be used to augment water supplies in agricultural areas. The suitability of a site for a farm pond requires a careful assessment of spatially varying parameters like runoff potential, slope, and land-cover. Therefore, a spatial analysis and a continuous runoff potential accounting procedure, based on the Soil Conservation Service Curve Number (SCS-CN), was used to evaluate the potential water harvesting. Model evaluation was performed based on daily runoff events recorded at 11 stations between 1996 and 2010. The statistical indices for the evaluation of the model calibration and validation were, respectively, mean percent error, -2.2% and 1.1%; mean absolute percent error, 25.2% and 23.8%; and Nash-Sutcliffe coefficient, 0.80 and 0.81. The analysis indicated that the model was able to estimate the observed runoff reasonably well. The sites suggested by the model were investigated for suitability in the field, and showed an 83% accuracy of the model. Given the increasing demand for water requirements in agriculture, this methodology could be effective in other agricultural areas with similar requirements to the "Eight Communities of the Chianti" area.
机译:意大利托斯卡纳的“基安蒂八大社区”地区主要在9月至12月之间,平均年降雨量为700-800毫米。然而,土壤的储存能力不足以满足农业需求,导致几乎每年5月至9月的水短缺。诸如农场池塘之类的径流收集结构可用于增加农业区的水供应。一个农场池塘的场地是否适合,需要仔细评估空间上变化的参数,例如径流势,坡度和土地覆盖率。因此,基于土壤保护服务曲线编号(SCS-CN),进行了空间分析和连续径流潜力计算程序,以评估潜在的集水量。模型评估是基于1996年至2010年在11个站点上记录的每日径流事件进行的。模型校准和验证评估的统计指标分别为平均误差百分比,-2.2%和1.1%;平均绝对误差百分比分别为25.2%和23.8%; Nash-Sutcliffe系数分别为0.80和0.81。分析表明,该模型能够很好地估计观测到的径流。对模型建议的站点进行了现场适应性调查,结果表明该模型的准确性为83%。考虑到农业对水需求的需求不断增长,这种方法在其他需求与“基安蒂八个社区”地区相似的农业地区也可能有效。

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