2D Flow Model of Kendal River Sedimentation Effect as Identification of Bandengan Village Flood Management

Main Article Content

A. H. B. Kuncoro
T. Zhafira
H. Masvika

Abstract

Flooding is one of the hydrometeorological disasters that often occurs on the north coast of Central Java, such as in Bandengan Village. Kendal River sedimentation occurs, which causes flooding. A two-dimensional (2D) flow model is needed due to the influence of sedimentation in the Kendal River channel, especially around the Bandengan Village area. This modelling aims to prove that sedimentation of the Kendal River is one of the causes of flooding. Secondary data on land use and rainfall are used to calculate the design of flood discharge. Primary data collection in the form of sediment samples and river contours as the basis for making Digital Elevation Model (DEM) maps for hydraulics modelling using the HEC-RAS 2D application. The Universal Soil Loss Equation (USLE) Method was analyzed to determine how much erosion potential was formed in the Kendal Watershed. The calculation of the design flood discharge is Q2 of 45.1 m3 /s, Q5 of 62.8 m3 /s, Q10 of 74.7 m3 /s, and Q10 of 91.3 m3 /s. Hydraulics analysis with three situations resulted in existing conditions occurring flooding, conditions without sediment also flooding, and finally, river widening conditions showed no flooding. Erosion analysis shows that the erosion hazard class in the Kendal watershed is low, so there are two indications, namely the transportation of sediment from irrigation canals in the upper reaches of the Kendal watershed and sedimentation accumulated over the years due to the absence of sediment control in the Kendal River. This modelling concludes that sedimentation, small river cross-sections, and the erosion of the Kendal coastal area are the causes of flooding in the area. Handling the issue by widening the river and building sediment barriers in the upstream area can reduce sedimentation and flooding of the Kendal River around Bandengan Village.

Downloads

Download data is not yet available.

Article Details

How to Cite
[1]
A. H. B. Kuncoro, T. Zhafira, and H. Masvika , Trans., “2D Flow Model of Kendal River Sedimentation Effect as Identification of Bandengan Village Flood Management”, IJRTE, vol. 12, no. 5, pp. 39–46, Jan. 2024, doi: 10.35940/ijrte.E7992.12050124.
Section
Articles

How to Cite

[1]
A. H. B. Kuncoro, T. Zhafira, and H. Masvika , Trans., “2D Flow Model of Kendal River Sedimentation Effect as Identification of Bandengan Village Flood Management”, IJRTE, vol. 12, no. 5, pp. 39–46, Jan. 2024, doi: 10.35940/ijrte.E7992.12050124.
Share |

References

Sunarna, H. P. Adi, M. F. Ni’am. “Analisis dampak banjir rob terhadap kerusakan bangunan di Kelurahan Bandengan Kecamatan Kabupaten Kendal”. Rang Tek J. 2023;6(1):100-6. https://doi.org/10.31869/rtj.v6i1.3443

R. Susanti, A. Nurdiana, S. Fauziyah, Sutanto. “Pendampingan inventarisasi faktor penyebab banjir dan rob di DAS Kendal Kabupaten Kendal”. J Pengabdi Vokasi. 2020;1(4):290-3. https://doi.org/10.14710/jpv.2020.9380

R. L. Barcellos, R. C. L. Figueira, E. J. Franca, C. A. Schettini, D. de Aruda Xavier. “Changes of estuarine sedimentation patterns by urban expansion: the case of middle capibaribe estuary, Northeastern Brazil”. Int J Geosci. 2017;8(4):514-535. http://doi.org/10.4236/ijg.2017.84027

A. A. M. Al-Hussein, S. Khan, K. Ncibi, N. Hamdi, Y. Hamed. “Flood analysis using hec-ras and hec-hms: a case study of Khazir River (Middle East—Northern Iraq)”. Water. 2022;14(22):1-19. https://doi.org/10.3390/w14223779

V. A. Ilham, Sufrianto. “Effect of flow velocity on bedload sediment transport at the Jeneberang River Estuary with Nays2DH model simulation”. Int J Manag Educ Hum Dev. 2022;1(2):50-7. https://ijmehd.com/index.php/ijmehd/article/view/50

R. Hambali, Asiah. “2-dimensional modeling of sediment transport around the Berok River Estuary”. In: IOP Conference Series: Earth and Environmental Science Volume 1108. 2022. p. 1-6. https://doi.org/10.1088/1755-1315/1108/1/012055

A. H. B. Kuncoro, D. S. Budiningrum, Istianah. “Analisis Sedimentasi di Tampungan Embung Daerah Irigasi Jurug Lendah Kulon Progo”. Fondasi J Tek Sipil. 2022;11(1):88-97. http://dx.doi.org/10.36055/fondasi.v0i0.14402

Y. G. Lai. “A two-dimensional depth-averaged sediment transport mobile-bed model with polygonal meshes”. Water. 2020;12(4):1-21. https://doi.org/10.3390/w12041032

D.Q. Tri, T. H. Thai, N. T. M. Linh. “Application of 2D modeling in simulation the erosion of dykes on Thach Han river basin in Vietnam”. Lowl Technol Int. 2018;20(3):393-400. https://cot.unhas.ac.id/journals/index.php/ialt_lti/article/view/552

F. Beckers, A. Heredia, M. Noack, W. Nowak, S. Wieprecht, S. Oladyshkin. “Bayesian calibration and validation of a large‐scale and time‐demanding sediment transport model”. Water Resour Res. 2020;56(7):1-23. https://doi.org/10.1029/2019WR026966

H. N. Nugroho, S. Rahayu. “Kajian kerawanan dan kerentanan banjir di Kecamatan Kota Kendal Kabupaten Kendal”. Tek Perenc Wil Kota. 2019;8(2):49-58. https://ejournal3.undip.ac.id/index.php/pwk/article/view/23848

A. Patriadi, R. A. A. Soemitro, D. D. Warnana, W. Wardoyo, T. Mukunoki, G. Tsujimoto. “The influence of Sembayat Weir on sediment transport rate in the Estuary of Bengawan Solo River, Indonesia”. Int J Geomate. 2021;20(81):35-43. https://doi.org/10.21660/2021.81.j2072

N. N. Sabeeh, W. M. S. Alabdraba. “The hydrodynamic model using HEC-RAS: the case of Tigris River Downstream of Samarra Barrage (Iraq)”. In: IOP Conference Series: Earth and Environmental Science Volume 1120. 2022. p. 1-8. https://doi.org/10.1088/1755-1315/1120/1/012017

Rahman NFA, Mohammed L, Mohammad M, Khalid K, Tai VC, Sharif MSM, et al. Modeling of 1D sediment transport in the Langat River using quasi-unsteady HEC-RAS. J Biol Stud. 2022;5(3SI):378-387. https://onlinejbs.com/index.php/jbs/article/view/7045

Wardhana PN, Budiman R. Two dimensional sediment transport simulation around Kamijoro Intake, Yogyakarta, Indonesia. In: Proceedings of the 3rd International Conference of Computer, Environment, Agriculture, Social Science, Health Science, Engineering and Technology (ICEST). 2018. p. 590-5. https://www.scitepress.org/Papers/2018/103713/

Zavattero E, Du M, Ma Q, Delestre O, Gourbesville P. 2D sediment transport modelling in high energy river – application to Var River, France. Procedia Eng. 2016;154(1):536-43. https://doi.org/10.1016/j.proeng.2016.07.549

Beckers F, Noack M, Wieprecht S. Uncertainty analysis of a 2D sediment transport model: an example of the Lower River Salzach. J Soil Sediment. 2018;18(10):3133-44. http://doi.org/10.1007/s11368-017-1816-z

Shabani A, Woznicki SA, Mehaffey M, Butcher J, Wool TA, Whung PY. A coupled hydrodynamic (HEC-RAS 2D) and water quality model (WASP) for simulating flood-induced soil, sediment, and contaminant transport. J Flood Risk Manag. 2021;14(4):1-17. https://doi.org/10.1111/jfr3.12747

Sirisati, D. R. S., Rao, Dr. P. S., Raju, J., & Nagavamsi, M. (2019). Dimensionality Reduction using Machine Learning and Big Data Technologies. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 2, pp. 1740–1745). https://doi.org/10.35940/ijitee.b7580.129219

Zaoui, F., Assoul, S., & Souissi, N. (2019). What Are the Main Dimensions of Digital Transformation? Case of an Industry. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 4, pp. 9962–9970). https://doi.org/10.35940/ijrte.d4418.118419

Radhamani, V., & Dalin, G. (2019). Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review. In International Journal of Soft Computing and Engineering (Vol. 9, Issue 3, pp. 1–7). https://doi.org/10.35940/ijsce.c3265.099319

Sandra, Y., Effendi, Z. M., & Atmazaki. (2020). Hybrid Learning Model in the Practic Subject. In International Journal of Management and Humanities (Vol. 5, Issue 3, pp. 23–28). https://doi.org/10.35940/ijmh.c1177.115320

Hung, D. P. (2019). Impact of Information Technology on Agriculture Development. In International Journal of Engineering and Advanced Technology (Vol. 8, Issue 6s3, pp. 1–3). https://doi.org/10.35940/ijeat.f1001.0986s319

Most read articles by the same author(s)

<< < 2 3 4 5 6 7