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Evaluation of the soil moisture content using GIS technique and SWAT model, (Wadi Al-Naft region: as a case study)

机译:使用GIS技术和SWAT模型评估土壤水分含量,(WADI AL-NAFT区域:作为案例研究)

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Soil moisture content is one of the basic parameters required to study the strategy of sustainable water management within urban and rural uses. Wadi Al-Nafat region was chosen as a study site within a total area of 8,820 km2, which is located in the northeast of Diyala province in the country of Iraq. The net area of the main catchment planning was 4926 km2 or about 56% of the total study area. The main catchment area was divided into 83 sub -catchments for the purpose of completing the application of the GIS technique and SWAT model. They were used to calculate the soil moisture content based on input data represented by the digital model of the elevation levels, meteorological data, uses of land and soil at the study site with the application of the SCS-CN mathematical model, and then determined water losses associated with average Annual Curve Number 73 during the period 2010 to 2016.The results of SWAT simulation showed that the annual rate of soil moisture content is 41.26 mm comparing with the 46.74 mm from field works during the same period with a difference of about 11%. The study also explained the efficient use of SWAT model and GIS technique in predicting the soil moisture content values and compares them with field results. It is noted that the correlation coefficient between soil moisture content measured by field works and soil moisture content calculated according to SWAT model simulation is 97%. Study results are encouraging the use of these techniques in areas lacking hydrologic and topographic parameters and thereby reduce the need for human and economic sources. Keyword: Soil moisture content, Land sat 8, SWAT, DEM, GIS.
机译:土壤含水量,研究可持续水资源管理的城市和农村的用途中的战略所需的基本参数之一。干河 - Nafat区域被选为8820平方公里,它位于迪亚拉省的伊拉克国东北部的总面积内的研究地点。主要流域规划的净面积为4926平方公里或约56总研究区域的%。主集水区域分成83个个子-catchments用于完成GIS技术和SWAT模型的应用的目的。他们使用基于标高,气象数据,土地和土壤使用在研究网站与SCS-CN数学模型的应用程序的数字模型表示输入数据,然后确定水来计算土壤含水量在2010年期间,平均每年曲线数73相关联的SWAT模拟2016.The结果损失表明,土壤含水量年增长率为41.26毫米在同一时期从野外工作的46.74毫米比较为约11的区别%。这项研究还解释了有效利用SWAT模型和GIS技术在预测土壤水分含量值,并将它们与现场结果进行了比较。值得注意的是,通过根据SWAT模型模拟计算的字段作品和土壤水分含量测量土壤水分含量之间的相关系数为97%。研究结果令人鼓舞在缺乏水文和地形参数地区使用这些技术,从而减少对人类和经济来源的需要。关键词:土壤水分含量,土地坐8,SWAT,DEM,GIS。

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