首页> 外文期刊>Arabian journal of geosciences >Water balance assessment using remote sensing, Wet-Spass model, CN-SCS, and GIS for water resources management in Saiss Plain (Morocco)
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Water balance assessment using remote sensing, Wet-Spass model, CN-SCS, and GIS for water resources management in Saiss Plain (Morocco)

机译:利用Saiss Plain(摩洛哥)使用遥感,湿法模型,CN-SCS和GIS进行水平衡评估

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摘要

Saiss plain contains an important aquifer. This complex groundwater system plays an important socio-economic role. Managing the groundwater resources requests a good understanding of resources availability and human needs satisfaction. These two components are estimated to get annual water balance of Saiss aquifer. Resources availability depends on meteorological parameters (rainfall, wind speed, temperature, etc.), soil types, topography, water table, and land use. Previous studies do not consider all of these parameters in assessing the water resources availability in this region. In this study, we have identified the relationship between all Saiss hydro-meteorological parameters and we have organized all data in Geographic Information System (GIS) to assess inputs of the water balance. Meteorological and hydrological data and landuse/landcover maps obtained from Landsat imageries classification were used in Wet-Spass (water and energy transfer between soil, plants, and atmosphere under quasi-steady state) model and Soil Conservation Service Curve Number (CN-SCS) method to assess annual runoff, potential evapotranspiration, interception, actual evapotranspiration, and natural recharge of shallow aquifer of Saiss plain. The results of the water balance calculation indicate significant fluctuations in the aquifer recharge: 280 Mm(3) (1987) and 418 Mm(3) (2018). The annual direct runoff increased from 344 Mm(3) (1987) to 638 Mm(3) (2018).
机译:Saiss Plain包含一个重要的含水层。这种复杂的地下水系统起着重要的社会经济作用。管理地下水资源要求良好地了解资源可用性和人类需求满足感。估计这两个组件可获得苏发含水层的年度水平衡。资源可用性取决于气象参数(降雨,风速,温度等),土壤类型,地形,水位和土地使用。以前的研究不考虑评估该地区的水资源可用性方面的所有这些参数。在这项研究中,我们已经确定了所有Saiss水力气象参数之间的关系,我们组织了地理信息系统(GIS)中的所有数据,以评估水平衡的输入。从Landsat Imageries分类获得的气象和水文数据和土地层面/ Landclecover地图用于湿 - 乳酸(土壤,植物和准稳态下的大气之间的水和能量转移)模型和土壤保护服务曲线数(CN-SCS)评估年径流,潜在的蒸发,截取,实际蒸散和苏斯平原浅层含水层的自然充电的方法。水平计算结果表明含水层充值中的显着波动:280 mm(3)(1987)和418 mm(3)(2018)。年度直接径流从344毫米(3)(1987)增加到638毫米(3)(2018)。

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