Assessing irrigation water demand and pumping operations for rice farming in the Bengawan Solo River, Indonesia

Muchamad Wahyu Trinugroho, Sigit Supadmo Arif, Sahid Susanto, Bayu Dwi Apri Nugroho

Abstract

Owing to population growth, the rice demand in Indonesia has been increasing, which has led to an increase in rice consumption. One way to boost rice production is to enhance pump irrigation in rainfed fields. The aim of this study is to evaluate irrigation water usage and water pumping practices in the Bengawan Solo River, focusing on enhancing rice production. Data were sourced from governmental entities, which include the Indonesian Bureau of Meteorology, Climatology, and Geophysics and the Ministry of Public Works and Housing. Water requirement was calculated using the FAO Penman–Monteith equation. The study highlights that throughout the three distinct growing seasons (GS), the water requirements for irrigating rainfed rice fields vary, with the most substantial demand observed during the first growing season (GS I), followed by the third growing season (GS III), and the second growing season (GS II). In dry years, a consistent pattern of low water balances occurs, which persists below 500 mm across all months. Compared with the other two scenarios, the dry year shows higher variability in rainfall, as evidenced by its higher coefficient of variation of 0.620 compared with 0.347 and 0.416 for the wet and normal years, respectively. The electricity cost rate peaks in GS I, trailed by GS II and GS III, with rates of IDR 2,400, 1,180, and 1,028 per kilowatt-hour, respectively. The findings play a pivotal role in shaping regional planning decisions regarding the utilization and necessity of river water resources and the development of cropping calendars.

Keywords

Alluvial soil; Calcareous soil; Kinetic models; Phosphate desorption; Soil parameters

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References

Al-Ansari, N., Abbas, N., Laue, J., & Knutsson, S. (2021). Water scarcity: Problems and possible solutions. Journal of Earth Sciences and Geotechnical Engineering, 11(2), 243-312. https://doi.org/10.47260/jesge/1127.

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56 (Vol. 300). FAO - Food and Agriculture Organization of the United Nations. https://www.fao.org/3/X0490E/x0490e00.htm

Anna, A. N., Priyono, K. D., Suharjo, S., & Priyana, Y. (2016). Using Water Balance to Analyze Water Availability for Communities ( A Case Study in Some Areas of Bengawan Solo Watershed). 2016, 30(2), 166-175. https://doi.org/10.23917/forgeo.v30i2.2550.

Ansari, A., Lin, Y.-P., & Lur, H.-S. (2021). Evaluating and Adapting Climate Change Impacts on Rice Production in Indonesia: A Case Study of the Keduang Subwatershed, Central Java. Environments, 8(11), 117. https://doi.org/10.3390/environments8110117.

Ashayeri, M. S., Khaledian, M. R., Kavoosi-Kalashami, M., & Rezaei, M. (2018). The economic value of irrigation water in paddy farms categorized according to mechanization levels in Guilan province, Iran. Agricultural Water Management, 202, 195-201. https://doi.org/10.1016/j.agwat.2018.02.014.

Auliyani, D., & Wahyuningrum, N. (2020). Pola hujan di bagian hulu daerah aliran sungai Bengawan Solo dalam perencanaan pemanfaatan sumber daya air [Rainfall pattern for water resources utilization planning in the upperstream of Bengawan Solo Watershed]. Jurnal Penelitian Pengelolaan Daerah Aliran Sungai, 4(1), 10. https://doi.org/10.20886/jppdas.2020.4.1.53-62. in Indonesian

Ayuningtyas, D., & Waluyo, R. (2019). Pengaruh Kinerja Jaringan Irigasi Terhadap Kepuasan Petani. Jurnal Teknika: Jurnal Teoritis dan Terapan Bidang Keteknikan, 3(1), 23-30. https://e-journal.upr.ac.id/index.php/JT/article/view/1327.

Bartolini, F., Bazzani, G. M., Gallerani, V., Raggi, M., & Viaggi, D. (2007). The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models. Agricultural Systems, 93(1), 90-114. https://doi.org/10.1016/j.agsy.2006.04.006.

BBWS Bengawan Solo. (2015). Rencana Pengelolaan Sumber Daya Air Wilayah Sungai Bengawan Solo [Bengawan Solo River Basin Management Plan].

Benavides, J., Mateos, L., García-Vila, M., & Fereres, E. (2021). Evaluating irrigation scheme performance in a tropical environment: The Guanacaste scheme, Costa Rica*. Irrigation and Drainage, 70(5), 1331-1346. https://doi.org/10.1002/ird.2621.

Bhatt, D., Maskey, S., Babel, M. S., Uhlenbrook, S., & Prasad, K. C. (2014). Climate trends and impacts on crop production in the Koshi River basin of Nepal. Regional Environmental Change, 14(4), 1291-1301. https://doi.org/10.1007/s10113-013-0576-6.

BPS. (2019). Indikator Pertanian (Agricultural Indicators) 2019. BPS - Statistics Indonesia. https://www.bps.go.id/id/publication/2020/11/30/a5f6025eb90c86561ce449e0/indikator-pertanian-2019.html

Brown, B., Nuberg, I., & Llewellyn, R. (2017). Negative evaluation of conservation agriculture: perspectives from African smallholder farmers. International Journal of Agricultural Sustainability, 15(4), 467-481. https://doi.org/10.1080/14735903.2017.1336051.

Callahan, T. F., & Astill, K. A. (1981). Computer Analysis To Compare the Energy Consumption of Variable and Constant Speed Pumps for Agricultural Irrigation. ASAE Publication, 2. https://www.osti.gov/biblio/6240800.

Chen, Y., Zhang, D., Sun, Y., Liu, X., Wang, N., & Savenije, H. H. G. (2005). Water demand management: A case study of the Heihe River Basin in China. Physics and Chemistry of the Earth, Parts A/B/C, 30(6), 408-419. https://doi.org/10.1016/j.pce.2005.06.019.

Corcoles, J. I., Frizzone, J. A., Lima, S. C. R. V., Mateos, L., Neale, C. M. U., Snyder, R. L., & Souza, F. (2016). Irrigation Advisory Service and Performance Indicators in Baixo Acaraú Irrigation District, Brazil. Irrigation and Drainage, 65(1), 61-72. https://doi.org/10.1002/ird.1941.

Dwiratna, S., Bafdal, N., Asdak, C., & Carsono, N. (2018). Study of runoff farming system to improve dryland cropping index in Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 8(2), 390-396. https://ijaseit.insightsociety.org/index.php/ijaseit/article/view/3268.

Estiningtyas, W., & Syakir, M. (2018). Pengaruh Perubahan Iklim Terhadap Produksi Padi di Lahan Tadah Hujan. Jurnal Meteorologi dan Geofisika, 18(2), 83-93. https://doi.org/10.31172/jmg.v18i2.406.

Expósito, A., & Berbel, J. (2019). Drivers of Irrigation Water Productivity and Basin Closure Process: Analysis of the Guadalquivir River Basin (Spain). Water Resources Management, 33(4), 1439-1450. https://doi.org/10.1007/s11269-018-2170-7.

Glovatskiy, O., Ergashev, R., Rashidov, J., Nasyrova, N., & Kholbutaev, B. (2021). Experimental and theoretical studies of pumps of irrigation pumping stations. E3S Web Conf., 263, 02030. https://doi.org/10.1051/e3sconf/202126302030.

Gunning-Trant, C., Sheng, Y., Hamshere, P., Gleeson, T., & Moir, B. (2015). What Indonesia wants: Analysis of Indonesia's food demand to 2050. ABARES research report no 15.9, Canberra. https://data.gov.au/dataset/39842d60-12ae-4f2d-8a0d-1036c1c167b9, https://researchdata.edu.au/what-indonesia-wants-demand-2050

Handayani, S., & Putra, O. E. (2022). Analisis Dinamika Sosial Ekonomi Dan Kelembagaan Untuk Peningkatan Peran Petani Dalam Pengelolaan Irigasi Batang Tabik Kecamatan Luak Kabupaten Lima Puluh Kota. 2022, 19(1), 13. https://doi.org/10.20961/sepa.v19i1.54352.

Jiménez-Bello, M. A., Royuela, A., Manzano, J., Prats, A. G., & Martínez-Alzamora, F. (2015). Methodology to improve water and energy use by proper irrigation scheduling in pressurised networks. Agricultural Water Management, 149, 91-101. https://doi.org/10.1016/j.agwat.2014.10.026.

Kinanti, S., & Amanah, S. (2017). Partisipasi Petani dalam Pemanfaatan Teknologi Informasi pada Program Agropolitan Belimbing di Bojonegoro. Jurnal Sains Komunikasi dan Pengembangan Masyarakat, 1(1), 43-54. http://ejournal.skpm.ipb.ac.id/index.php/jskpm/article/view/63.

Levine, D. I., & Yang, D. (2014). The impact of rainfall on rice output in Indonesia. https://doi.org/10.3386/w20302

Liu, G., Li, J., Zhang, X., Wang, X., Lv, Z., Yang, J., . . . Yu, S. (2016). GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction. Ecological Engineering, 94, 306-314. https://doi.org/10.1016/j.ecoleng.2016.05.037.

Lu, Y., Yang, X., & Kueppers, L. (2018). Future crop yields and water productivity changes for Nebraska rainfed and irrigated crops. Water International, 43(6), 785-795. https://doi.org/10.1080/02508060.2018.1516093.

Marhaento, H., Booij, M. J., & Ahmed, N. (2021). Quantifying relative contribution of land use change and climate change to streamflow alteration in the Bengawan Solo River, Indonesia. Hydrological Sciences Journal, 66(6), 1059-1068. https://doi.org/10.1080/02626667.2021.1921182.

Martín Candilejo, A. (2020). New design methodology for branched hydraulic networks that accounts for variable water demand and energy assessment [Doctoral, Caminos, Canales y Puertos (UPM)]. https://oa.upm.es/65435/

Martin, D. L., Dorn, T. W., Melvin, S. R., Corr, A. J., & Kranz, W. L. (2011). Evaluating energy use for pumping irrigation water. Proceedings of the 23rd Annual Central Plains Irrigation Conference, 104–116. https://www.ksre.k-state.edu/irrigate/oow/p11/Kranz11a.pdf.

Milano, M., Ruelland, D., Dezetter, A., Fabre, J., Ardoin-Bardin, S., & Servat, E. (2013). Modeling the current and future capacity of water resources to meet water demands in the Ebro basin. Journal of Hydrology, 500, 114-126. https://doi.org/10.1016/j.jhydrol.2013.07.010.

Mohamed, H. I., Elham, W., Samir, M., & Sabry, M. (2019). Hydraulic Performance of Improved Irrigation System. JES. Journal of Engineering Sciences, 47(No 3), 296-308. https://doi.org/10.21608/jesaun.2019.115470.

Nugroho, B. D. A. (2020). Fenomena iklim global, perubahan iklim, dan dampaknya di Indonesia. https://ugmpress.ugm.ac.id/id/product/teknologi-pertanian/fenomena-iklim-global-perubahan-iklim-dan-dampak-di-indonesia

Oweis, T., & Hachum, A. (2009). Supplemental irrigation for improved rainfed agriculture in WANA region. In S. P. Wani, J. Rockström, & T. Oweis (Eds.), Rainfed Agriculture: Unlocking the Potential (pp. 182–196). https://doi.org/10.1079/9781845933890.0182

Puphoung, S., Sinnarong, N., Autchariyapanitkul, K., & Satienpirakul, K. (2016). Impacts of Climate Change on Rice Yield in the North Region. Graduate Studies Journal Chiang Rai Rajabhat University, 12(2), 119-132. https://so01.tci-thaijo.org/index.php/crrugds_ejournal/article/view/185077. in Thai

Rao, C. S., Rejani, R., & Kumar, P. (2014). Climate resilient water management practices for improving water use efficiency and sustaining crop productivity. Climate Change & Water : Improving WUE, 13-14. https://www.researchgate.net/profile/R-Rejani/publication/312946950_Climate_resilient_water_management_practices_for_improving_water_use_efficiency_and_sustaining_crop_productivity/links/58cf647992851c374e1705a8/Climate-resilient-water-management-practices-for-improving-water-use-efficiency-and-sustaining-crop-productivity.pdf.

Sacolo, S. J., & Mkhandi, S. H. (2021). Assessment of the potential of rainwater harvesting for maize production in the Lubombo plateau. Physics and Chemistry of the Earth, Parts A/B/C, 124, 102935. https://doi.org/10.1016/j.pce.2020.102935.

Saptomo, S. K., Askari, M., Arif, C., Suwarno, W. B., Setiawan, B. I., Tamura, K., & Matsuda, H. (2021). Experimental and numerical investigation of laboratory scale sheetpipe-typed automatic subsurface irrigation. Communications in Science and Technology, 6(2), 117-124. https://doi.org/10.21924/cst.6.2.2021.604

Scharwies, J. D., & Dinneny, J. R. (2019). Water transport, perception, and response in plants. Journal of Plant Research, 132(3), 311-324. https://doi.org/10.1007/s10265-019-01089-8.

Singh, A. (2014). Conjunctive use of water resources for sustainable irrigated agriculture. Journal of Hydrology, 519, 1688-1697. https://doi.org/10.1016/j.jhydrol.2014.09.049.

Sipayung, S. B., Nurlatifah, A., & Siswanto, B. (2018). Simulation and prediction the impact of climate change into water resources in Bengawan Solo watershed based on CCAM (Conformal Cubic Atmospheric Model) data. Journal of Physics: Conference Series, 1022(1), 012042. https://doi.org/10.1088/1742-6596/1022/1/012042.

Suciati, L. P., Juanda, B., Fauzi, A., & Rustiadi, E. (2014). Developing for Water Resources Incentives to Support System of Rice Intensification (SRI) in Jatiluhur Irrigation Area. IOSR Journal of Humanities and Social Science (IOSR-JHSS), 19(11), 31-41. https://doi.org/10.9790/0837-191113141

Trinugroho, M. W., Arif, S. S., Susanto, S., Nugroho, B. D. A., & Prabowo, A. (2022). Changes in Rainfall Pattern in Bengawan Solo Sub-Watershed. 2022, 19(2), 12. https://doi.org/10.20961/stjssa.v19i2.61640.

Wu, R.-S., Molina, G. L. L., & Hussain, F. (2018). Optimal Sites Identification for Rainwater Harvesting in Northeastern Guatemala by Analytical Hierarchy Process. Water Resources Management, 32(12), 4139-4153. https://doi.org/10.1007/s11269-018-2050-1.

Yang, C.-M. (2012). Technologies to improve water management for rice cultivation to cope with climate change. Crop, Environment & Bioinformatics, 8, 193-207. https://scholars.tari.gov.tw/bitstream/123456789/3340/1/9-3-193-207.pdf.

Yohannes, D. F., Ritsema, C. J., Solomon, H., Froebrich, J., & van Dam, J. C. (2017). Irrigation water management: Farmers’ practices, perceptions and adaptations at Gumselassa irrigation scheme, North Ethiopia. Agricultural Water Management, 191, 16-28. https://doi.org/10.1016/j.agwat.2017.05.009.

Yonariza, Andini, B. A., Mahdi, & Maynard, S. (2019). Addressing knowledge gaps between stakeholders in payments for watershed services: Case of Koto Panjang hydropower plant catchment area, Sumatra, Indonesia. Ecosystem Services, 39, 100995. https://doi.org/10.1016/j.ecoser.2019.100995.

Yuliawan, T., & Handoko, I. (2016). The Effect of Temperature Rise to Rice Crop Yield in Indonesia uses Shierary Rice Model with Geographical Information System (GIS) Feature. Procedia Environmental Sciences, 33, 214-220. https://doi.org/10.1016/j.proenv.2016.03.072.

DOI: https://doi.org/10.20961/stjssa.v21i1.79343

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