Estimating of soil moisture using shetran model at Cisanggarung catchment area
Estimating of soil moisture using shetran model at Cisanggarung catchment area
复制标题
使用 Shetran 模型估算 Cisanggarung 流域区的土壤湿度
DOI：
10.1088/1755-1315/653/1/012028
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Suroso
中科院分区：
文献类型：
--
作者：
Suroso
土壤水分是水文气候过程的重要控制因素之一。土壤含水量可以作为土壤肥力的一个指标，对提高农业和种植园的产量具有重要作用。了解土壤水分的时空变化在干旱预测和农业模拟等实际应用中是非常有意义的。采用空间分辨率为500 m× 500 m，时间分辨率为逐日的方法，研究了赤桑嘎隆河流域土壤水分的时空分布特征。利用2001年至2017年遥感测量的水文气候数据，应用Shetran基于物理的水文模型。Shetran模型输入数据包括数字高程模型、土地利用土地覆盖、TRMM降雨量数据、蒸发数据和土壤特性数据。研究结果表明，Shetran水文模型是可靠的，估计土壤水分在一个流域。利用干旱灾害的历史资料对土壤水分值进行了验证。
Soil moisture is one of the essential controls for the hydro-climatology processes. Soil moisture value can be used as an indicator of soil fertility so that it has a vital role in increasing agricultural and plantation production. Understanding the soil moisture variability on a spatial-temporal scale is very interesting in many practical applications such as drought prediction and agricultural modelling. The purpose of this study was to estimate the soil moisture value which distributed in space and time in the Cisanggarung River Basin with the spatial resolution of 500 m× 500 m and daily temporal resolution. The Shetran physical-based hydrological model was applied by utilizing hydro-climatological data derived from the remote sensing measurements from 2001 to 2017. The Shetran model input data consisted of the digital elevation model, land use land cover, TRMM rainfall data, evaporation data, and soil properties data. The results of this study indicate that Shetran hydrological model is reliable to estimate soil moisture in a watershed. This soil moisture values are then validated with the historical data of drought disaster.
使用基于网络的无线传感器概念开发土壤湿度测量
影响因子：
--
作者：
Julham Julham;H. A. Adam;Arif Ridho Lubis;M. Lubis
通讯作者：
M. Lubis