Optimization of Cropping Intensity in Batujai Irrigation Areas Using SRI Method and CROPWAT 8.0

https://doi.org/10.22146/agritech.104431

Dewandha Mas Agastya(1*), Muh Bagus Budianto(2), I Ketut Budastra(3), I Wayan Yasa(4)

(1) Departement of Civil Engineering, Faculty of Engineering, Universitas Mataram, Jl. Majapahit No. 62, Mataram, West Nusa Tenggara 83115
(2) Departement of Civil Engineering, Faculty of Engineering, Universitas Mataram, Jl. Majapahit No. 62, Mataram, West Nusa Tenggara 83115
(3) Departement of Agribusiness, Faculty of Agriculture, Universitas Mataram, Jl. Majapahit No. 62, Mataram, West Nusa Tenggara 83115
(4) Departement of Civil Engineering, Faculty of Engineering, Universitas Mataram, Jl. Majapahit No. 62, Mataram, West Nusa Tenggara 83115
(*) Corresponding Author

Abstract


The Batujai Reservoir has been in operation since 1982 and remains functional in 2025. However, long-term sediment accumulation has gradually reduced its effective storage capacity. Several studies have shown that under limited water availability, improving irrigation efficiency is crucial. The System of Rice Intensification (SRI) method can be adopted as a water-saving cultivation practice to enhance water productivity and sustain rice yield. Therefore, this study aims to determine the capability of the SRI planting method in achieving cropping intensity in areas with limited water resources, drought, and climate change pressure. An assessment of reservoir water availability was conducted using long-term discharge data from 1997 to 2024. Inflow reliability was then determined by classifying hydrological conditions into wet (Q35%), normal (50%), and dry (65%) years based on frequency analysis applying the Weibull distribution. Evapotranspiration was examined based on climatological data, including temperature, humidity, wind speed, and sunlight duration. The potential evapotranspiration value was calculated using CROPWAT 8.0 software, and the highest value was obtained in August at 4.35 mm/day. The SRI method had an intermittent irrigation concept that did not require land to be submerged in water continuously. The height of the water pool required was 2 cm, and the filling of the cracks was 1.1 cm high. The highest irrigation water requirement was 0.878 l/s/ha in December for the conventional method and 1.480 l/s/ha in April for the SRI method. Based on the results of simulation calculations and reservoir operation optimization, a comparison of the SRI and conventional planting methods yielded cropping intensity values of 275.34% and 274.38% for the November I planting season. The success indicators of simulation modelling and reservoir operation optimization met the minimum k-factor thresholds for irrigation and domestic water needs of 0.75 and 0.85, respectively.

Keywords


Cropping intensity; CROPWAT 8.0; k-factor; reservoir; SRI method

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References

Abera, F. F., Asfaw, D. H., Engida, A. N., & Melesse, A. M. (2018). Optimal operation of hydropower reservoirs under climate change: The case of Tekeze reservoir, Eastern Nile. Water (Switzerland), 10(3). https://doi.org/10.3390/w10030273

Agastya, D., I Wayan Yasa, & I Dewa Gede Jaya Negara. (2024). Optimization of Pengga Reservoir in The Mandalika special economic zone for irrigation and water supply. Journal of the Civil Engineering Forum, 10(May), 163–172. https://doi.org/10.22146/jcef.7913

Ahmad, A., El-Shafie, A., Mohd Razali, S. F., & Mohamad, Z. S. (2014). Reservoir optimization in water resources: A review. Water Resources Management, 28(11), 3391–3405. https://doi.org/10.1007/s11269-014-0700-5

Babu, S. (2019). System of rice intensification. Encyclopedia of Food and Agricultural Ethics, February, 2318–2318. https://doi.org/10.1007/978-94-024-1179-9_301491

Chou, F. N. F., Linh, N. T. T., & Wu, C. W. (2020). Optimizing the management strategies of a multi-purpose multi-reservoir system in Vietnam. Water (Switzerland), 12(4), 1–20. https://doi.org/10.3390/W12040938

D, M. D. P. (2019). System of rice intensification. Encyclopedia of Food and Agricultural Ethics, July, 2318–2318. https://doi.org/10.1007/978-94-024-1179-9_301491

Dahiru M. (2018). System of rice intensification: A Review. Comparative analysis on the cropping system of rice intensificationand traditional method of rice production in Mubi North, Adamawa State Nigeria. View project Reseach View project. International Journal of Innovative Agriculture & Biology Research, 6(2), 27–38. https://doi.org/10.13140/RG.2.2.11925.83683

Evayanti, R., & Sugiharta. (2021). Simulasi optimasi (Simop) Waduk Pengga dan Waduk Batujai pada Das Dodokan untuk pemenuhan kebutuhan air baku di kawasan ekonomi khusus (Kek) Mandalika. Binawakya, 6(1), 5999–6011. https://ejurnal.binawakya.or.id/index.php/MBI/article/view/1190

Fang, H. Bin, Hu, T. S., Zeng, X., & Wu, F. Y. (2014). Simulation-optimization model of reservoir operation based on target storage curves. Water Science and Engineering, 7(4), 433–445. https://doi.org/10.3882/j.issn.1674-2370.2014.04.008

Farriansyah, A. M., Juwono, P. T., Suhartanto, E., & Dermawan, V. (2018). Water allocation computation model for river and multi-reservoir system with sustainability-efficiency-equity criteria. Water (Switzerland), 10(11). https://doi.org/10.3390/w10111537

Fontanet, M., Fernàndez-Garcia, D., Rodrigo, G., Ferrer, F., & Villar, J. M. (2022). Combined simulation and optimization framework for irrigation scheduling in agriculture fields. Irrigation Science, 40(1), 115–130. https://doi.org/10.1007/s00271-021-00746-y

Habib, F. E. (2024). Geospatial and Environmental Assessment of Onion Irrigation Scheduling Using GIS and CROPWAT 8. 0 Tools. 6(1), 513–515.

Huang, W. C., & Yuan, L. C. (2004). A drought early warning system on real-time multireservoir operations. Water Resources Research, 40(6). https://doi.org/10.1029/2003WR002910

Jamil, F. F. S., Darsono, S., & Suharyanto. (2019). Optimization of Logung Reservoir Performance. IOP Conference Series: Earth and Environmental Science, 328(1). https://doi.org/10.1088/1755-1315/328/1/012017

Jayadi, R., Azis, A., & Hartini, R. K. (2019). Multi Criteria Irrigation Water Allocation for Optimizing Pandanduri Reservoir Operation. 2, 1–7. https://www.icid.org/wif3_bali_2019/wif3_1-3_8-min.pdf

Jayadi, R., & Istiarto, I. (2023). Optimum Water Utilization of a Cascade Reservoirs Case.

Laurentia, S. C., & Arlensietami, L. (2022). Aplikasi Cropwat 8.0 Untuk Merencanakan Pola Tanam Optimal Dan Memaksimalkan Hasil Pertanian Di Kecamatan Gunungpati. Jurnal Sumber Daya Air, 18(2), 121–132. https://doi.org/10.32679/jsda.v18i2.772

Maliwal, S., Murmu, M., Yadu, L. K., & Verma, M. K. (2019). Multi-Reservoir Flood Control Operation by Optimization Technique : A Review. International Journal of Engineering Research & Technology, 8(08), 681–685.

Manikanta, Y., Bokado, K., Barkha, & Kumari, G. (2022). A research review on system of rice intensification ( SRI ). The Pharma Innovation Journal., 11(8), 1951–1955.

Mboyerwa, P. A. (2018). Potentials of system of rice intensification (SRI) in climate change adaptation and mitigation. A review. International Journal of Agricultural Policy and Research, 6(9), 160–168. https://doi.org/10.15739/IJAPR.18.018

Ministry of Agriculure, F. and F.-B. C. (2001). Crop Coefficients for Use in Irrigation Scheduling. Water Conservation Factsheet, 577, 1–6.

Nadu, T., & Nadu, T. (2021). Significance of system of rice intensification ( SRI ) on rice productivity , plant and soil nutrition- An overview. 6(5), 9–10.

Sharma, V., & Yadav, K. K. (2021). Comparative study on crop water requirement using CROPWAT model for different vegetable crops grown under protected and open field cultivation. Indian Journal of Ecology, 48(2), 588–591.

Surendran, U., Sushanth, C. M., Mammen, G., & Joseph, E. J. (2015). Modelling the Crop Water Requirement Using FAO-CROPWAT and Assessment of Water Resources for Sustainable Water Resource Management: A Case Study in Palakkad District of Humid Tropical Kerala, India. Aquatic Procedia, 4(Icwrcoe), 1211–1219. https://doi.org/10.1016/j.aqpro.2015.02.154

Suryadi, E., Ruswandi, D., Dwiratna, S., & Prawiranegara, B. M. P. (2019). Crop water requirements analysis using cropwat 8.0 software in maize intercropping with rice and soybean. International Journal on Advanced Science, Engineering and Information Technology, 9(4), 1364–1370. https://doi.org/10.18517/ijaseit.9.4.6868

Thakur, A. K., & Uphoff, N. T. (2017). How the system of rice intensification can contribute to climate-smart agriculture. Agronomy Journal, 109(4), 1163–1182. https://doi.org/10.2134/agronj2016.03.0162

Thomas, T., Ghosh, N. C., & Sudheer, K. P. (2021). Optimal reservoir operation – A climate change adaptation strategy for Narmada basin in central India. Journal of Hydrology, 598(March), 126238. https://doi.org/10.1016/j.jhydrol.2021.126238

Turner, S. W. D., Steyaert, J. C., Condon, L., & Voisin, N. (2021). Water storage and release policies for all large reservoirs of conterminous United States. Journal of Hydrology, 603(PA), 126843. https://doi.org/10.1016/j.jhydrol.2021.126843

Uphoff, N. (2024). Introduction to Special Issue on “The System of Rice Intensification (SRI)—Contributions to Agricultural Sustainability.” Agronomy, 14(5). https://doi.org/10.3390/agronomy14050909

Xu, C., & Zhang, D. (2018). Impact of the operation of cascade reservoirs in upper Yangtze River on hydrological variability of the mainstream. Proceedings of the International Association of Hydrological Sciences, 379(2008), 421–432. https://doi.org/10.5194/piahs-379-421-2018

Yasa, I. W., Agastya, D. M., & Sulistiyono, H. (2023). Comparison of Cropping Intensity in Conventional and SRI Irrigation Water Delivery System at Batu Bulan Reservoir. 55(03), 3549–3558.

Yasa, I. W., Bisri, M., Sholichin, M., & Andawayanti, U. (2018). Hydrological drought index based on reservoir capacity - Case study of Batujai dam in Lombok Island, West Nusa Tenggara, Indonesia. Journal of Water and Land Development, 38(1), 155–162. https://doi.org/10.2478/jwld-2018-0052

Yekti, M. I., Agung, I. G., Putera, A., Mahat, M., & Adnyana, B. (2024). Optimization of A Dynamic Program for Water Resources Utilization in the Mambal Irrigation Area. 44(4), 373–384.

Yura Kafiansyah, M., & Farriansyah, A. M. (2018). Advanced Pandanduri reservoir rule curve. Proceedings - International Association for Hydro-Environment Engineering and Research (IAHR)-Asia Pacific Division (APD) Congress: Multi-Perspective Water for Sustainable Development, IAHR-APD 2018, 2(September), 1353–1361.



DOI: https://doi.org/10.22146/agritech.104431

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