对婆罗洲中部的降雨量观测数据进行评估

Dewi Kartika, Nomeritae Nomeritae, I. M. Kamiana
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摘要

降雨是水文分析不可缺少的组成部分。然而,观测降水资料存在资料不完整、资料较短等问题。使用高分辨率和广域覆盖卫星的降雨测量为各种水文分析提供了一种潜在的替代方案。但是,由于观测降雨数据的分辨率存在差异,特别是在加里曼丹省中部,使用卫星测量降雨并不一定准确。本研究的目的是在观测降水资料的基础上确定卫星降水资料的精度并对其进行评价。评估是通过使用回归模型寻找两种降雨数据之间的关系来完成的。结果表明:TRMM格网总降水与观测降水的相关性(R2 = 0.5233)高于GPM降水(R2 = 0.3909);在此基础上,对加里曼丹中部的Kahayan流域进行了流量分析,采用具有一定回归周期的Nakayasu Hydrograph Synthesis Unit方法,输入卫星降雨数据,分析结果具有较好的精度。校正前TRMM降水资料2、5、10、25、50 a的预估流量分别为1976.74m3/s、2165.66 m3/s、2239.19 m3/s、2313.63 m3/s、2375.69 m3/s,校正后TRMM降水资料预估流量分别为2549.35 m3/s、2670.59 m3/s、2736.42 m3/s、2801.37 m3/s、2854.82 m3/s。
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Evaluasi Data Curah Hujan Satelit TRMM Dan GPM Terhadap Data Curah Hujan Observasi Di Kalimantan Tengah
Rainfall is an indispensable component of hydrological analysis. However, the observational rainfall data has problems such as incomplete and shorter data. Rainfall measurements using high resolution and wide area coverage satellites provide a potential alternative for various hydrological analyses. But the measurement of rainfall using satellites is not necessarily accurate due to the difference in resolution of the observational rainfall data, especially in Central Kalimantan Province. This study aims to determine the accuracy of satellite rainfall data based on observational rain data and evaluate it. Evaluation is done by looking for the relationship between the two-rainfall data using a regression model. The results showed that the TRMM total grid rainfall data (R2 = 0.5233) had a higher correlation to the observational rainfall data compared to the GPM rainfall data (R2 = 0.3909). Furthermore, a discharge analysis was carried out in one of the watersheds in Central Kalimantan, namely the Kahayan watershed using the Nakayasu Hydrograph Synthesis Unit method with a certain return period with satellite rainfall data input which has a fairly good accuracy based on the results of the analysis. The estimated discharge with return periods of 2, 5, 10, 25, and 50 years for TRMM rainfall data before correction are 1976.74m3/s, 2165.66 m3/s, 2239.19 m3/s, 2313.63 m3/s, 2375.69 m3/s respectively, and for the estimated discharge after correction are 2549.35 m3/s, 2670.59 m3/s, 2736.42 m3/s, 2801.37 m3/s, 2854.82 m3/s.
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