Mapping of Design Rainfall at Multiple Return Periods Using Spatial Interpolation in Abab Sub-Watershed, Blitar Regency

Authors

  • Ageng Galih Fans Muhammad Fiqri Department of Water Resources Engineering, Faculty of Engineering, Brawijaya University, Malang
  • Donny Harisuseno Department of Water Resources Engineering, Faculty of Engineering, Brawijaya University, Malang
  • Jadfan Sidqi Fidari Department of Water Resources Engineering, Faculty of Engineering, Brawijaya University, Malang

DOI:

https://doi.org/10.21776/ub.pengairan.2023.014.01.4

Keywords:

Design rainfall, isohyet map, return period, SMADA Distrib 2.13

Abstract

The main occupation of residents who live in Abab Sub-Watershed, Blitar Regency, is as farmers in agriculture and plantations. Agriculture and plantations need rain data that have been calculated to maximize the yields to be obtained. Hydrometeorological disasters, specifically floods, often occur at this location. Therefore, research is needed on calculating design rainfall, outlined in easy-to-understand isohyet maps. The research aims to assist the planning of water structures or other hydrological research without having to recalculate or retest data from the beginning. This study's utilized return periods were 2, 5, 10, and 25 years, plotted as isohyet maps. Before calculating the design rainfall, the rainfall data had to be tested first. Calculation of design rainfall used SMADA Distrib 2.13 application and was tested with the distribution suitability test. The results of the distribution suitability test showed that Log Normal is appropriate to be used. The results of plotting the design rainfall on an isohyet map using the IDW, Kriging, and Spline methods showed that the IDW and Spline maps are smoother and not as broken as Kriging. Next, a comparative analysis of RMSE and NSE was carried out. For return periods of 2, 5, 10, and 25 years, IDW has the smallest RMSE mean value of 0.016 and the highest NSE average value of 0.9999.

References

Blitar Regency Regional Disaster Management Agency (Badan Penanggulangan Bencana Daerah Kabupaten Blitar), “The BNPB Team Verifies Bridges Damaged by the Disaster in Blitar Regency (Tim BNPB Melakukan Verivikasi Jembatan Rusak Akibat Bencana di Kabupaten Blitar),” 2021.https://bpbd.blitarkab.go.id/read/8628/agenda-kegiatan/tim-bnpb-melakukan-verifikasi-jembatan-rusak-akibat-bencana-di-kabupaten-blitar.html (accessed March 11, 2022).

Ningsih, Dewi Handayani Untari, “Thiessen Polygon Method for Forecasting Rainfall Distribution for Certain Periods in Areas Without Rainfall Data (Metode Thiessen Polygon untuk Ramalan Sebaran Curah Hujan Periode Tertentu pada Wilayah yang Tidak Memiliki Data Curah Hujan),” Jurnal Teknologi Informasi 17(2): 154-163, 2012.

Adam, Riandi Ashab, “Comparative Analysis of the Use of Arithmetic Methods, Thiessen Polygons and Isohyets in Calculation of Regional Average Rainfall (Jangkok Watershed Site Study) ((Analisis Perbandingan Penggunaan Metode Aritmatika, Poligon Thiessen Dan Isohyet Dalam Perhitungan Curah Hujan Rerata Daerah) (Studi Lokasi DAS Jangkok)),” Jurusan Teknik Sipil, Universitas Mataram, 2019.

Kurniadi, Hanif, Erlita Aprilia, Joko Budi Utomo, Andang Kurniawan, and Agus Safril, “Comparison of IDW and Spline Methods in Rainfall Data Interpolation (Perbandingan Metode IDW Dan Spline Dalam Interpolasi Data Curah Hujan),” Prosiding Seminar Nasional Geotik 2018. 1(1): 213-220, 2018.

Fitri, Silvy Rahmah, Edi Saadudin, and Bono Pranoto, "Comparison of Inverse Distance Weighted (IDW), Natural Neighbor, and Spline Interpolation Methods for Condensing Solar Energy Potential Map Data (Perbandingan Metoda Interpolasi Inverse Distance Weighted (IDW), Natural Neighbour, Dan Spline Untuk Perapatan Data Peta Potensi Energi Surya)," Jurnal Ketenagalistrikan dan Energi Terbarukan 13(1): 27-38, 2014.

Sejati, Sadewa Purba, “Comparison of the Accuracy of the IDW and Kriging Methods in Mapping the Groundwater Table (Perbandingan Akurasi Metode IDW dan Kriging dalam Pemetaan Muka Air Tanah),” Majalah Geografi Indonesia 33(2): 49-57, 2019.

Soemarto, CD, Engineering Hydrology (Hidrologi Teknik), Malang: UB Press, 1987.

Triatmojo, B, Applied Hydrology (Hidrologi Terapan), Malang: UB Press, 2013.

Junita Monika Pasaribu Dan Nanik Suryo Haryani, "Comparison of Dem Srtm Interpolation Techniques with Inverse Distance Weighted (IDW), Natural Neighbor and Spline Methods (Perbandingan Teknik Interpolasi Dem SRTM Dengan Metode Inverse Distance Weighted (IDW), Natural Neighbor Dan Spline)", Jurnal Penginderaan Jauh Vol. 9 No. 2. Lapan, 2012.

Moriasi, D. N., M. W. Gitau, N. Pai, and P. Daggupati, "Hydrologic And Water Quality Models: Performance Measures And Evaluation Criteria." Journal of American Society of Agricultural and Biological Engineers 58(6): 1763-1785, 2015.

Suhartanto, Ery, Evi Nur Cahya, and Luluil Maknun, “Runoff Analysis Based on Rainfall Using an Artificial Neural Network (ANN) Model in the Upper Brantas Sub-Das (Analisa Limpasan Berdasarkan Curah Hujan Menggunakan Model Artifical Neural Network (ANN) di Sub Das Brantas Hulu),” Jurnal Teknik Pengairan 10(2): 134-144, 2019.

Downloads

Published

2023-05-31

How to Cite

Galih Fans Muhammad Fiqri, A., Harisuseno, D., & Sidqi Fidari, J. (2023). Mapping of Design Rainfall at Multiple Return Periods Using Spatial Interpolation in Abab Sub-Watershed, Blitar Regency. Jurnal Teknik Pengairan: Journal of Water Resources Engineering, 14(1), 38–52. https://doi.org/10.21776/ub.pengairan.2023.014.01.4

Issue

Section

Articles

Most read articles by the same author(s)

1 2 3 > >>