Analysis on the change of runoff curve number influence to surface flow debit using ALOS AVNIR-2 data imagery

Wenang Anurogo, Kartika Pratiwi, Muhammad Zainuddin Lubis, Mir'atul Khusna Mufida, Luthfiya Ratna Sari, Siti Noor Chayati


One part of the hydrologic cycle which has a major influence in increasing the amount of river flow discharge is surface runoff. The higher surface runoff discharge, causing the possibility of surface flooding, therefore required an empirical model that can calculate the amount of surface runoff so as to produce updated data and quickly change according to their needs. One of the empirical methods that can be used to calculate the amount of surface runoff is by using the curve number method. This research is done by utilizing remote sensing image, that is, ALOS AVNIR-2. Data extraction from ALOS imagery includes land cover information using multispectral classification analysis, slope inclination information through visual interpretation, and land use interpretation. The runoff that occurred in Banjarnegara Regency tends to be high, that is, 61.24 percent of the total area of the research area. Large runoff with very high/extreme class spread on the form of hilly land to the old volcano complex at the study site. The runoff in the medium to low class only covers 3.56 percent of the total area and is distributed on the fluvial form with the flat-to-flat slopes. The result of analysis of runoff data is obtained from slope analysis and type of land use in the research location. Increasingly steep slope with little vegetation-land use, then the greater the runoff that occurs. Finally, the research result could be implemented into higher student class activity, especially in remote sensing classes, GIS, cloud computing, and big data analysis. By this process, the students will be improved their skills in analyzing imagery data as well as create new information derived from the remote sensing data.


surface runoff; curve number; remote sensing; ALOS data imagery

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Ahmad, I., & Verma, M. K. (2018). Application of analytic hierarchy process in water resources planning: A GIS based approach in the identification of suitable site for water storage. Water Resources Management, 32(15), 5093–5114.

Anurogo, W., Lubis, M. Z., Pamungkas, D. S., Hartono, H., & Ibrahim, F. M. (2017). A spatial approach to identify slum areas in East Wara Sub-Districts, South Sulawesi. IOP Conference Series: Earth and Environmental Science, 98(1), 1–13.

Anurogo, W,. Lubis, M. Z., & Mufida, M. K. (2018). Modified soil-adjusted vegetation index in multispectral remote sensing data for estimating tree canopy cover density at rubber plantation. Journal of Geoscience, Engineering, Environment, and Technology, 3(1), 15.

Anurogo, W., Murti, S. H., & Khakhim, N. (2015). Analisis perubahan hutan mangrove dalam penentuan kawasan rehabilitasi dan perubahan stok karbon menggunakan data Penginderaan Jauh (di Teluk Banten, Serang Provinsi Banten). Universitas Gadjah Mada.

Danoedoro, P. (2012). Pengantar Penginderaan Jauh. Penerbit Andi.

Ebrahimian, A., Gulliver, J. S., & Wilson, B. N. (2018). Estimating effective impervious area in urban watersheds using land cover, soil character and asymptotic curve number. Hydrological Sciences Journal, 63(4), 513–526.

Guswa, A. J., Hamel, P., & Meyer, K. (2017). Curve number approach to estimate monthly and annual direct runoff. Journal of Hydrologic Engineering, 23(2), 04017060.

Lal, M., Mishra, S. K., Pandey, A., Pandey, R. P., Meena, P. K., Chaudhary, A., Jha, R. K., Shreevastava, A. K., & Kumar, Y. (2016). Evaluation of the soil conservation service curve number methodology using data from agricultural plots. Hydrogeology Journal, 25(1), 151–167.

Lian, H., Yen, H., Huang, J. C., Feng, Q., Qin, L., Bashir, M. A., Wu, S., Zhu, A. X., Luo, J., Di, H., Lei, Q., & Liu, H. (2020). CN-China: Revised runoff curve number by using rainfall-runoff events data in China. Water Research, 177, 115767.

Lubis, M. Z., Anurogo, W., Hanafi, A., Kausarian, H., Taki, H. M., & Antoni, S. (2018). Distribution of benthic habitat using Landsat-7 Imagery in shallow waters of Sekupang, Batam Island, Indonesia. Biodiversitas Journal of Biological Diversity, 19(3), 1117–1122.

Sari, R., Anurogo, W., & Lubis, M. Z. (2018). Pemetaan sebaran suhu penggunaan lahan menggunakan Citra Landsat 8 di Pulau Batam. Jurnal Integrasi, 32(1), 2548–9828.

Satheeshkumar, S., Venkateswaran, S., & Kannan, R. (2017). Rainfall-runoff estimation using SCS-CN and GIS approach in the Pappiredipatti watershed of the Vaniyar sub basin, South India. Modeling Earth Systems and Environment, 3, 24.

Savvidou, E., Efstratiadis, A., Koussis, A. D., Koukouvinos, A., & Skarlatos, D. (2018). The curve number concept as a driver for delineating hydrological response units. Water, 10(2), 194.¬W10020194

Singhai, A., Das, S., Kadam, A. K., Shukla, J. P., Bundela, D. S., & Kalashetty, M. (2019). GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India. Environment, Development and Sustainability, 21(2), 777–797.

Sudira, P., Purwadi, T., Sukresno, S., & Nurlaili, M. (2017). Prediksi aliran permukaan menggunakan modifikasi model bilangan kurva. Agritech, 25(1), 10–14.

Tiwari, K., Goyal, R., & Sarkar, A. (2018). GIS-based methodology for identification of suitable locations for rainwater harvesting structures. Water Resources Management, 32(5), 1811–1825.¬10.1007/¬S11269-018-1905-9

Uwizeyimana, D., Mureithi, S. M., Mvuyekure, S. M., Karuku, G., & Kironchi, G. (2019). Modelling surface runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda. International Soil and Water Conservation Research, 7(1), 9–17.¬J.ISWCR.2018.12.001

Zeng, Z., Tang, G., Hong, Y., Zeng, C., & Yang, Y. (2017). Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications. Remote Sensing Letters, 8(6), 528–536.



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