Evaluation of water balance in the Jaro Irrigation area, Tabalong Regency, South Kalimantan Province

Raka Bagoes Landrawijaya; Maya Amalia

doi:10.21744/ijle.v6n1.2125

Authors

Raka Bagoes Landrawijaya
raka.bagoess@gmail.com
Universitas Lambung Mangkurat, Banjarmasin, Indonesia
Maya Amalia Universitas Lambung Mangkurat, Banjarmasin, Indonesia

Keywords:

Crop pattern, DI Jaro, water availability, water balance, water demand

Abstract

In the Tabalong Regency, South Kalimantan Province, many irrigation networks have not worked optimally. The Jaro Irrigation Area is one of these irrigation networks, the majority of available fields are planted with Paddy. Evaluation of irrigation water to irrigate paddy fields is very important for optimal growth and development of paddy. The objective of this research is to evaluate the water balance, the potential area for paddy field area development can be obtained by applying the optimal crop pattern. Analysis of the rainfall data used in this study with statistical analysis in the form of validation and correction of rainfall data. Rainfall data was obtained from the Tropical Rainfall Measurement Mission (TRMM) and the Meteorology, Climatology, and Geophysics Agency (BMKG) Jaro Station in the period 2013-2019, the data using statistical analysis obtained a correlation coefficient and regression equation. The regression equation is used to obtain the corrected rainfall value which will be used in the hydrological analysis. Water requirement analysis with several cropping pattern scenarios. Calculation of evapotranspiration using the Modified Penman method. The F.J Mock method is used to develop the discharge value. Dependable discharge, 80%, is used to estimate water availability. Furthermore, an evaluation of the water balance is carried out for each scenario, and the result of information on surplus or deficit conditions can be obtained each month. Analysis of water demand discharge based on planting scenarios is divided into three. First Scenario with a high-yield paddy - a high-yield paddy according to the existing conditions at the research location. The second scenario is with a high-yield paddy - high-yield paddy - beans and the third scenario is with a high-yield paddy - paddy. According to the results of the water balance evaluation for the three scenarios, the potential area can be reached up to 900 ha from 850 ha with the chosen crop pattern in scenario number 2.

Downloads

Download data is not yet available.

References

Abdul-Ganiyu, S., Kyei-Baffour, N., Agyare, W., & Dogbe, W. (2015). An evaluation of economic water productivity and water balance of dry season irrigated rice under different irrigation regimes in northern Ghana.

Akas, P. S., Ismail, I., & Napitupulu, M. (2018). Monthly Water Balance Analysis at Palaran District-the Province of East Kalimantan. Acta Scientific Agriculture, 2(12), 39-44.

Ariyani, D., Putuhena, F. J., & Wira, D. (2020). Using Water Balance to Analyse Water Availability for Irrigation with Upraising Surface Temperature (Acase Study Pasar Baru Barrage in Cisadane Watershed). Civil and Environmental Science Journal (Civense), 3(1), 1-9.

Azmeri, A., Yulianur, A., Zahrati, U., & Faudli, I. (2019). Effects of irrigation performance on water balance: Krueng Baro Irrigation Scheme (Aceh-Indonesia) as a case study. Journal of Water and Land Development, 42(1), 12–20.

Budi, A. S. (2021). Calculation and Mapping of Water Demand Balance in Pacal Bojonegoro Irrigation Area. In Journal of World Conference (JWC) (Vol. 3, No. 3, pp. 336-341).

Canet-Martí, A., Morales-Santos, A., Nolz, R., Langergraber, G., & Stumpp, C. (2023). Quantification of water fluxes and soil water balance in agricultural fields under different tillage and irrigation systems using water stable isotopes. Soil and Tillage Research, 231, 105732. https://doi.org/10.1016/j.still.2023.105732

Chen, C., Wang, E., & Yu, Q. (2010). Modelling the effects of climate variability and water management on crop water productivity and water balance in the North China Plain. Agricultural Water Management, 97(8), 1175-1184. https://doi.org/10.1016/j.agwat.2008.11.012

De Fraiture, C., & Wichelns, D. (2010). Satisfying future water demands for agriculture. Agricultural water management, 97(4), 502-511. https://doi.org/10.1016/j.agwat.2009.08.008

Döll, P., Kaspar, F., & Lehner, B. (2003). A global hydrological model for deriving water availability indicators: model tuning and validation. Journal of Hydrology, 270(1-2), 105-134. https://doi.org/10.1016/S0022-1694(02)00283-4

Duffková, R., Holub, J., Fu?ík, P., Rožnovský, J., & Novotný, I. (2019). Long-term water balance of selected field crops in different agricultural regions of the czech republic using fao-56 and soil hydrological approaches. Sustainability, 11(19), 5243.

Ezuar, N., Cahyandito, M. F., & Hendarmawan, H. (2018). Groundwater Balance Evaluation for Groundwater Availability in Ngarawan Watershed, Belitung Timur Regency. Ecodevelopment, 1(1).

Gichamo, T., Abate, B., Esimo, F., Gokcekus, H., & Gelete, G. (2022). Analysis of water balance and hydrodynamics of Lake Beseka, Ethiopia. Journal of Water and Climate Change, 13(5), 2034-2047.

Hariyadi, H. (2020). The ability of water hyacinth, heartshape false pickerelweedand water lettuce as chlorine phitoremediation in water. International Journal of Life Sciences & Earth Sciences, 3(1), 30-37. https://doi.org/10.31295/ijle.v3n1.180

Herrera, M., Torgo, L., Izquierdo, J., & Pérez-García, R. (2010). Predictive models for forecasting hourly urban water demand. Journal of hydrology, 387(1-2), 141-150. https://doi.org/10.1016/j.jhydrol.2010.04.005

Hidayat, A., Rustanto, F. R., Gunawansyah, G., & Saima, F. C. (2022). Optimization of Water Utilization for Irrigation Networks (Case Study: Wawotobi Dam, Unaaha District, Konawe Regency). Budapest International Research and Critics Institute-Journal (BIRCI-Journal), 5(2).

Huber, S., Fensholt, R., & Rasmussen, K. (2011). Water availability as the driver of vegetation dynamics in the African Sahel from 1982 to 2007. Global and Planetary Change, 76(3-4), 186-195. https://doi.org/10.1016/j.gloplacha.2011.01.006

Ikhwali, M. F., Ersa, N. S., Khairi, A., Prayogo, W., & Wesli, W. (2022). Development of Soil & Water Assessment Tool Application In Krueng Aceh Watershed Review. TERAS JURNAL, 12(1), 191-204.

Liu, Z., Huang, Y., Liu, T., Li, J., Xing, W., Akmalov, S., ... & Duan, Y. (2020). Water balance analysis based on a quantitative evapotranspiration inversion in the Nukus irrigation area, Lower Amu River Basin. Remote Sensing, 12(14), 2317.

Martínez-Casasnovas, J. A., Martín-Montero, A., & Casterad, M. A. (2005). Mapping multi-year cropping patterns in small irrigation districts from time-series analysis of Landsat TM images. European Journal of Agronomy, 23(2), 159-169. https://doi.org/10.1016/j.eja.2004.11.004

Olmstead, S. M., Hanemann, W. M., & Stavins, R. N. (2007). Water demand under alternative price structures. Journal of Environmental economics and management, 54(2), 181-198. https://doi.org/10.1016/j.jeem.2007.03.002

Pamadya, O., Juwono, P. T., Andawayanti, U., & Asmaranto, R. (2022). Detection of Climate Change in the Kedungsoko Irrigation Area–Nganjuk, Indonesia. Journal of Hunan University Natural Sciences, 49(4).

Putra, G. M. D., Setiawati, D. A., & Sumarjan, S. (2018). Water Balance Analysis In Pijenan Bantul Irrigation Area. Jurnal Agrotek Ummat, 5(1), 37-45.

Qarinur, M., Silitonga, E. M. R., Sibuea, D. T. A., & Rahayu, T. (2022). Evaluasi Neraca Air Daerah Irigasi Sei Belutu Kabupaten Serdang Bedagai. Jurnal Teknik Sipil dan Lingkungan, 7(1), 89-100.

Setyorini, A., & Hardaningrum, F. (2020). Calculation and Mapping of Water Balance Sheet Based on Geographic Information Systems in The Irrigation Area in Padi Pomahan Mojokerto. ADRI International Journal of Engineering and Natural Science, 5(02), 15-26.

Sihombing, A. M. C., Indarto, I., & Wahyuningsih, S. (2021). Assessment of Water Balance at Mayang Watershed, East Java. Geosfera Indonesia, 6(1), 55-76.

Singh, D. K., Jaiswal, C. S., Reddy, K. S., Singh, R. M., & Bhandarkar, D. M. (2001). Optimal cropping pattern in a canal command area. Agricultural Water Management, 50(1), 1-8. https://doi.org/10.1016/S0378-3774(01)00104-4

Sujono, J. (2022). Water Balance Evaluation towards Cropping Index Enhancement in Belanti II Swamp Irrigation Area, Central Kalimantan. In International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022) (pp. 82-90). Atlantis Press.

Sun, H. Y., Liu, C. M., Zhang, X. Y., Shen, Y. J., & Zhang, Y. Q. (2006). Effects of irrigation on water balance, yield and WUE of winter wheat in the North China Plain. Agricultural water management, 85(1-2), 211-218. https://doi.org/10.1016/j.agwat.2006.04.008

Zhao, J., Yu, Y., Lei, J., & Liu, J. (2023). Multi-Objective Lower Irrigation Limit Simulation and Optimization Model for Lycium Barbarum Based on NSGA-III and ANN. Water, 15(4), 783.