利用降雨径流转换和卫星降雨数据对印度尼西亚利利巴和曼尼金流域的下游水库进行建模

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Yulius Patrisius Kau Suni , Joko Sujono , Istiarto
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引用次数: 0

摘要

雨水收集(RWH)技术已经成为人类生活的一个重要方面,能够为家庭和农业需求提供水。Embung是印度尼西亚半干旱地区流行的一种RWH技术,它的能力有限,而且有沉积的风险,因此在缓解干旱方面不可靠。另一种选择是建一个离河水库。它有好处,包括可能被安置在社会问题较少的地方。下游水库的沉积较少。本研究采用2014-2021年全球降水卫星测绘(GSMaP)和水文工程中心水文模拟系统(HEC-HMS)的土壤水分核算(SMA)方法,对印尼东努沙登加拉省古邦利里巴和曼尼金流域的下游水库保水可靠性进行了评估。校准和验证的统计要求包括决定系数(R2 >;0.40)、Nash-Sutcliffe效率(NSE >0.40)、研究数据的均方根误差(RMSE)-标准差比(RSR) (<0.70)和百分比偏差(PBIAS <30)。校正过程中,只有偏差百分比参数为优(4.01%),其他统计要求均不满足。然而,在验证过程中,所有的统计要求都达到了满意的评级。结果表明:GSMaP数据与SMA损失法相结合,可以进行降雨径流模拟;但是,HEC-HMS参数需要根据分析时间和当地条件进行调整。该研究的模型表明,在湿润年(2021年)的旱季,五个月零三周,在干旱年(2016年),四个月零三周,来自下游水库的水可以满足5063名居民的家庭需求,以及10公顷的园艺种植。因此,本研究建议在采用SMA方法的下游水库入流模拟中使用GSMaP卫星数据,特别是在缺乏足够降雨数据的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling off-stream reservoir using rainfall-runoff transformation and satellite rainfall data in Liliba and Manikin watersheds of Indonesia
Rainwater harvesting (RWH) techniques have become a crucial aspect of human life, enabling the provision of water for household and agricultural needs. Embung, a popular RWH technique in Indonesia's semi-arid regions, has a limited capacity and poses a risk of sedimentation, rendering it unreliable for drought mitigation. An alternative is an off-stream reservoir. It has benefits, including possible placement in locations with less social problems. Reservoirs off-stream have less sedimentation. This study employed Global Satellite Mapping of Precipitation (GSMaP) for the period of 2014–2021 in rainfall-runoff simulations along with the Soil Moisture Accounting (SMA) method of Hydrologic Engineering Center's Hydrologic Modelling System (HEC-HMS) to assess the reliability of off-stream reservoirs in conserving water in Liliba and Manikin watersheds, Kupang, East Nusa Tenggara province of Indonesia. The statistical requirements for calibration and validation include the coefficient of determination (R2 > 0.40), Nash-Sutcliffe Efficiency (NSE >0.40), root mean square error (RMSE)-standard deviation ratio of research data, or RSR (<0.70), and percent bias (PBIAS <30). During calibration, only the percent bias parameter was qualified as excellent (4.01 %), while the other statistical requirements were not met. However, in the validation process, all statistical requirements met satisfactory rating. The results demonstrate that rainfall-runoff simulation could be performed using the GSMaP data in conjunction with the SMA loss method; however, adjustments to HEC-HMS parameters are necessary based on analysis duration and local conditions. The study's modelling indicates that, for five months and three weeks during the dry season in the wet year (2021) and for four months and three weeks during the dry year (2016), water from the off-stream reservoir can supply 5063 residents' household needs in addition to 10 ha of horticultural cultivation. Therefore, the study recommends the utilization of GSMaP satellite data in the inflow simulation of off-stream reservoirs employing the SMA method, particularly in locations lacking adequate rainfall data.
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来源期刊
Kuwait Journal of Science
Kuwait Journal of Science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
28.60%
发文量
132
期刊介绍: Kuwait Journal of Science (KJS) is indexed and abstracted by major publishing houses such as Chemical Abstract, Science Citation Index, Current contents, Mathematics Abstract, Micribiological Abstracts etc. KJS publishes peer-review articles in various fields of Science including Mathematics, Computer Science, Physics, Statistics, Biology, Chemistry and Earth & Environmental Sciences. In addition, it also aims to bring the results of scientific research carried out under a variety of intellectual traditions and organizations to the attention of specialized scholarly readership. As such, the publisher expects the submission of original manuscripts which contain analysis and solutions about important theoretical, empirical and normative issues.
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