西爪哇Citarum河洪水模拟的降水数据输入

Muhammad Yoga Pratama
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引用次数: 0

摘要

: Citarum河的核心作用是作为缓冲,以满足包括雅加达80%人口在内的六个周边地区的农业灌溉、工业活动和原水的需求,但从上游到下游的条件有所下降。这样,就可以获得大量关于洪水、干旱和其他水源功能的适应数据,以实现Citarum的综合概念。本研究以中部香茅区为研究重点,利用5年和10年的降雨强度(时间序列),实现径流系数、强度持续频率(IDF)模型对径流峰值流量的计算。这一成果是通过应用Gumbel方法和Mononobe方程,并对二维HEC-RAS软件进行优化实现的。2010 - 2019年的试验数据表明,11月降雨量最大,为448.07 mm/h, 7月降雨量最小,为52.50 mm/h。模拟结果表明,流量增加了11%,影响了河流容纳溢流负荷的能力。此外,该模拟还配备了受洪水影响地区的地图,其中包括11月份的洪峰情景。
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Imputing Rainfall Data for Flood Simulation in Citarum River, West Java
: The central role of the Citarum River as a buffer to meet the needs of agricultural irrigation, industrial activities, and raw water in the six surrounding districts, including 80% of the population of Jakarta, has experienced a decline in conditions from up-downstream. That way, a lot of data is available regarding the adaptation of floods, drought, and other water source functions for an integrated concept for Citarum. The focus of the study is in the Central Citarum Zone by using 5 and 10 years of rainfall intensity (time series), actualizing the runoff coefficient, Intensity Duration Frequency (IDF) modeling to the formulation of the peak runoff discharge. This achievement is realized by applying Gumbel's Method and Mononobe's Equation and optimizing the 2D HEC-RAS software. Experimental data from 2010 to 2019 indicated that November was the highest rainfall of 448.07 mm/hour, while the lowest was in July with a value of 52.50 mm/hour. The simulation results show an increase in flow rate up to 11%, which means it affects the river's capacity to accommodate the overflow load. Furthermore, this simulation is equipped with a map of the flood-affected areas with a peak discharge scenario in November.
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