Groundwater depth prediction using Shetran model in Citarum River basin
Groundwater depth prediction using Shetran model in Citarum River basin
复制标题
利用Shetran模型预测Citarum河流域地下水深度
DOI：
10.1088/1755-1315/653/1/012029
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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
干旱是一种持续时间长、影响面广的自然灾害，严重影响人类生活、经济、农业生产和生态环境。在印度尼西亚，洪水和干旱成为经常发生且难以避免的年度灾害，即使在大城市也是如此。干旱不能被认为是一个微不足道的问题，因为它的影响对生活的各个方面都非常有害。干旱可以从几个指标看出。地下水的深度可以是干旱的一个指标。本研究的目的是预测Citarum河流域地下水的深度。本研究采用了空间分布的Shetran模型。Shetran模型是由泰恩大学纽卡斯尔的土木工程和地球科学学院开发的。Shetran模型采用2001 - 2017年卫星观测的水文气候资料。本研究的输入数据包括数字高程模型、TRMM降雨数据、蒸发数据、土壤特性和土地利用变化土地覆盖变化数据。结果表明，在17年内，Citarum流域的土地利用类型发生了显着变化。这种土地利用变化影响了Citarum流域地下水的深度。
Drought is a natural disaster that lasts a long time and has an impact on various things that can seriously affect human life, economy, agricultural production, and also ecological environment. In Indonesia, floods and droughts become annual disasters that often occur and are difficult to avoid, even in big cities. Drought cannot be considered a trivial problem because its impact is very detrimental to every aspect of life. Drought can be seen from several indicators. The depth of groundwater can be an indicator of drought. The purpose of this study was to predict the depth of groundwater in the Citarum River Basin. This study uses a spatially distributed Shetran model. The Shetran model was developed by the School of Civil Engineering and Geosciences at Newcastle upon Tyne University. The hydro-climatological data from satellite measurements during 2001 to 2017 were used in Shetran model. Input data in this study consisted of digital elevation models, TRMM rainfall data, evaporation data, soil properties, and land-use change land cover change data. The results showed that within 17 years the land use types in the Citarum watershed had undergone significant changes. This land use change affects the depth of groundwater in the Citarum watershed.
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