ANALISIS POLA DISTRIBUSI DAN INTENSITAS CURAH HUJAN DI DAS BOLANGO BONE

Meldiana Karim, B. Labdul, Rawiyah Husnan
{"title":"ANALISIS POLA DISTRIBUSI DAN INTENSITAS CURAH HUJAN DI DAS BOLANGO BONE","authors":"Meldiana Karim, B. Labdul, Rawiyah Husnan","doi":"10.37905/cj.v1i1.7","DOIUrl":null,"url":null,"abstract":"Heavy precipitation is among the causes of flooding. Bone Bolango is one of the flooding areas in Gorontalo. Since the parameters determining the discharge of the flood is precipitation, an analysis method for determining the distribution pattern and precipitation that fits the situation in the watershed area of Bolango Bone is required. Thereby, the present study aimed at analyzing the distribution pattern and the precipitation in the area. The analysis methods of rainfall distribution were the normal, log-normal, log Pearson type III, and Gumbel methods. In addition, the precipitation was examined using Talbot method, Sherman method, and Ishiguro method. The data consisted of daily precipitation data (the data from the last 10 years at minimum) from Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia Permata. According to the results of parameter statistical analysis, the value of Cs, Cv, and Ck of the precipitation in 5 stations did not meet the requirements for normal distribution, log-normal, and Gumbel. The Cv value of Alale station, Boidu station, Longalo station, Dulamayo Selatan station, and Sogitia station is 0.3, 0.32, 0.19, 0.23, and 0.28, respectively. The Cs value of those stations, in consecutive order, is 3.45, 2.21, 1.33, 0.92, and 1.11, and the Ck value is 18.58, 6.64, 4.55, 2.08, and 3.99. On that ground, the distribution pattern that best fits the watershed area of Bone Bolango us the Log Pearson III. Further, the most appropriate measurement of the precipitation in the area is the Sherman method. This method has the lowest standard deviation value at 67.3 mm and the best correlation value at 1. The heaviest rainfall occurred in the duration of 5 minutes and the return period of 100 years. The precipitation in Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia is 378.15 mm/hr, 250.78 mm/hr, 188.98 mm/hr, 300.76 mm/hr, and 358.82 mm/hr, respectively.","PeriodicalId":435836,"journal":{"name":"Composite Journal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composite Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37905/cj.v1i1.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Heavy precipitation is among the causes of flooding. Bone Bolango is one of the flooding areas in Gorontalo. Since the parameters determining the discharge of the flood is precipitation, an analysis method for determining the distribution pattern and precipitation that fits the situation in the watershed area of Bolango Bone is required. Thereby, the present study aimed at analyzing the distribution pattern and the precipitation in the area. The analysis methods of rainfall distribution were the normal, log-normal, log Pearson type III, and Gumbel methods. In addition, the precipitation was examined using Talbot method, Sherman method, and Ishiguro method. The data consisted of daily precipitation data (the data from the last 10 years at minimum) from Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia Permata. According to the results of parameter statistical analysis, the value of Cs, Cv, and Ck of the precipitation in 5 stations did not meet the requirements for normal distribution, log-normal, and Gumbel. The Cv value of Alale station, Boidu station, Longalo station, Dulamayo Selatan station, and Sogitia station is 0.3, 0.32, 0.19, 0.23, and 0.28, respectively. The Cs value of those stations, in consecutive order, is 3.45, 2.21, 1.33, 0.92, and 1.11, and the Ck value is 18.58, 6.64, 4.55, 2.08, and 3.99. On that ground, the distribution pattern that best fits the watershed area of Bone Bolango us the Log Pearson III. Further, the most appropriate measurement of the precipitation in the area is the Sherman method. This method has the lowest standard deviation value at 67.3 mm and the best correlation value at 1. The heaviest rainfall occurred in the duration of 5 minutes and the return period of 100 years. The precipitation in Alale station, Boidu, Longalo, Dulamayo Selatan, and Sogitia is 378.15 mm/hr, 250.78 mm/hr, 188.98 mm/hr, 300.76 mm/hr, and 358.82 mm/hr, respectively.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
分析了BOLANGO BONE DAS的分布模式和降雨量强度
强降水是引发洪水的原因之一。Bone Bolango是Gorontalo的洪水地区之一。由于决定洪水流量的参数是降水,因此需要一种确定适合Bolango Bone流域情况的分布格局和降水的分析方法。因此,本研究旨在分析该地区的分布格局和降水。降雨分布的分析方法为正态、对数正态、对数Pearson III型和Gumbel法。此外,还采用Talbot法、Sherman法和Ishiguro法对降水进行了分析。资料包括Alale站、Boidu站、Longalo站、Dulamayo Selatan站和Sogitia Permata站的日降水资料(至少近10年)。参数统计分析结果显示,5个站点降水Cs、Cv、Ck值均不符合正态分布、对数正态分布和甘贝尔分布要求。Alale站、Boidu站、Longalo站、Dulamayo Selatan站和Sogitia站的Cv值分别为0.3、0.32、0.19、0.23和0.28。这些站点的Cs值依次为3.45、2.21、1.33、0.92、1.11,Ck值依次为18.58、6.64、4.55、2.08、3.99。在此基础上,最适合Bone Bolango流域的分布模式是Log Pearson III。此外,对该地区降水最适当的测量是谢尔曼法。该方法的最小标准差为67.3 mm,最佳相关值为1。最大降水出现在5分钟内,百年一遇。Alale站、Boidu站、Longalo站、Dulamayo Selatan站和Sogitia站的降水量分别为378.15 mm/hr、250.78 mm/hr、188.98 mm/hr、300.76 mm/hr和358.82 mm/hr。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ANALISIS KELAYAKAN FINANSIAL BRT (BUS RAPID TRANSIT) KORIDOR II RUTE KOTA GORONTALO - LIMBOTO PERENCANAAN JARINGAN TRAYEK ANGKUTAN UMUM PERKOTAAN DAN PERDESAAN KABUPATEN BOALEMO (STUDI KASUS DI ZONA BAGIAN BARAT) TINJAUAN KESTABILAN PERKUATAN LERENG MENGGUNAKAN DINDING KANTILEVER DAN DINDING GRAVITASI ANALISIS POLA DISTRIBUSI DAN INTENSITAS CURAH HUJAN DI DAS BOLANGO BONE
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1