Nurdianyoto, Indra (2019) Analisis Hujan – Debit Banjir Menggunakan Model HEC-HMS Sub DAS Sadar Kabupaten Mojokerto. Magister thesis, Universitas Brawijaya.
Abstract
Sub DAS Sadar merupakan bagian DAS Brantas di Kabupaten/Kota Mojokerto dengan tingkat kerawanan bencana banjir tinggi, intensitas hujan yang terjadi di Sub DAS Sadar mampu mempengaruhi kenaikan level air dan debit Sungai Sadar mengakibatkan kejadian bencana banjir. Model hidrograf satuan HEC-HMS dan penyelarasan Sistem Informasi Geografi dapat menggambarkan respon Sub DAS Sadar terhadap hujan dalam suatu model serta mengidentifikasi daerah-daerah rawan bahaya banjir sebagai deteksi dini kejadian bencana. Analisis penelitian ini meliputi analisis karakteristik fisik Sub DAS menggunakan perangkat lunak ArcGIS-ArcView sebagai data awal model, kalibrasi-validasi parameter model hidrologi HEC-HMS saat kejadian banjir, evaluasi statistik kehandalan model dan analisis tingkat kerawanan bencana banjir dengan pengolahan peta spasial faktor yang berpengaruh. Kalibrasi-validasi Model hidrologi HEC-HMS Sub DAS Sadar diperoleh nilai rerata parameter statistik Nash-Sutcliffe Efficiency (NSE) sebesar 0,608 (“Memuaskan”), parameter Root Mean Squared Error (RMSE)-Standard Deviation Ratio (RSR) sebesar 0,603 (“Memuaskan”), dan parameter Percent Bias (PBIAS) sebesar 0,08 % (“Sangat Baik”). Parameter model hidrologi HEC HMS yaitu loss (initial abstraction, curve number), baseflow (initial baseflow discharge, recession constant, ratio to peak), routing (muskingum k dan x) serta transform (lag time). Faktor pengaruh daerah kerawanan bencana banjir Sub DAS Sadar yaitu ketinggian lahan, penggunaan lahan, jenis tanah, curah hujan, kemiringan lahan dan akumulasi aliran (flow accumulation). Tingkat kerawanan bencana banjir Sub DAS Sadar dengan % luas tingkat kerawanan bencana “Sangat Rendah” sebesar 5,9%, “Rendah” 7,4%, “Cukup” 27,2%, “Tinggi” 56,4% dan “Sangat Tinggi” 3,2%.
English Abstract
The Sadar sub-watershed is a part of Brantas watersheds located in Mojokerto Regency / City which has a high level of flood vulnerability, rainfall intensity in the Sadar Sub-watershed influence level of water and discharge of Sadar River and caused flood events. HEC-HMS hydrology model and spatial data review through GIS is expected to describe the Sub-Watershed response from rainfall with hydrology model and to identify flood hazard areas as an early warning. The analysis conducted in this study includes the analysis of sub-watershed characteristics using ArcGIS software as initial data for HEC-HMS hydrology parameters processing with calibration – validation period during flood events with statistical parameters evaluation and analyzing flood hazard factor and area through spatial processing. Calibration – validation of HEC-HMS hydrology model obtained average parameter evaluation results of Nash-Sutcliffe Efficiency (NSE) is 0.608 ("Satisfactory"), Root Mean Squared Error (RMSE) - Standard Deviation Ratio (RSR) parameter is 0.603 ("Satisfactory"), and Percent Bias (PBIAS) parameter is 0.08% ("Very Good") with hydrology model parameters are loss (initial abstraction, curve number), baseflow (initial base flow discharge, recession constant, ratio to peak), routing (muskingum k and x) and transform (lag time). The flood hazard factors of Sadar sub watershed are land height, land use, soil type, rainfall, land slope and flow accumulation. Sadar sub-watershed Flood hazard area prone rate are "Very Low" 5.9%, "Low" 7.4%, "Medium" 27.2%, "High" 56.4% and "Very High" 3.2%.
Other obstract
-
| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/627.4/NUR/a/2019/041904357 |
| Uncontrolled Keywords: | FLOOD CONTROL, HYDROLOGIC MODELS, HYDROLOGY--COMPUTER PROGRAMS |
| Subjects: | 600 Technology (Applied sciences) > 627 Hydraulic engineering > 627.4 Flood control |
| Divisions: | S2/S3 > Magister Teknik Pengairan, Fakultas Teknik |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 23 Jan 2020 03:18 |
| Last Modified: | 25 Oct 2021 03:54 |
| URI: | http://repository.ub.ac.id/id/eprint/178267 |
Preview |
Text
Indra Nurdianyoto.pdf Download (8MB) | Preview |
Actions (login required)
 |
View Item |