Estimation of future irrigation performance with times series analysis: a case study of Andırın, Kahramanmaraş, Turkey

: Performance indicators are used to identify the weaknesses and strengths of irrigation schemes. Until now, evaluations havebeen made using several different statistical methods to determine the performance of irrigation schemes. However, these methodsshowed the current performance of irrigation schemes and the statistical relationship between them. It is planned to provide adaptationof irrigation networks to climate change with state policies. Therefore, it is of great importance to estimate the future performanceof irrigation schemes. In this study, the future irrigation performance of the Andırın irrigation scheme in Kahramanmaraş provinceAndırın district was estimated using time series forecasting method. Using the data of the Andırın irrigation scheme between 2006and 2019, the selected performance indicators were estimated until 2025. When examining the results, they suggest that the irrigationscheme has not shown consistency in the past years, so the future performance of the irrigation scheme may be adversely affected.The high amount of irrigation water distributed to per unit irrigated area in this irrigation scheme will result in poor performance insubsequent years if measures such as modernization, transition to pressurized system and modern irrigation methods are not taken andimprovements are not made in the future.

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Abadia R, Rocamora MC, Corcoles JI, Ruiz-Canales A, MartinezRomero A et al. (2010). Comparative analysis of energy efficiency in water users associations. Spanish Journal of Agricultural Research 8 (2): 134-142. doi: 10.5424/sjar/201008S2-1356
Alcon F, García-Bastida PA, Soto-García M, Martínez-Alvarez V, Martin-Gorriz, B et al. (2017). Explaining the performance of irrigation communities in a water-scarce region. Irrigation Science 35 (3): 193-203. doi: 10.1007/s00271-016-0531-7
Arslan F, Değirmenci H (2018). RAP-MASSCOTE Aproach of modernizing operatıon-maintanence and management of irrigation schemes: a case study of Kahramanmaraş left bank irrigation scheme. Atatürk University Journal of Agricultural Faculty 49 (1): 45-51. doi: 10.15832/ankutbd.512677
Boss MG, Murrray-Rust DH, Merrey DJ, Johnson HG, Snellen WS (1994). Methodologies for assessing performance of irrigation and drainage management. Irrigation and Drainage Systems 7: 231-261. doi: 10.1007/BF00881553
Burt C (2001). Rapid Appraisal Process (RAP) and Benchmarking Explanation and Tools. Bangkok, Thailand: FAO Regional Office for Asia and the Pacific.
Caiado J (2007). Forecasting Water Consumption in Spain Using Univariate Time Series Models. Munich Personal RePEc Archive 6610: 1-9.
Çakmak B (2001). Evalution of irrigation system performance in irrigation associations Konya. Tarım Bilimleri Dergisi 7: 111- 117 (in Turkish).
Çakmak B, Beyribey M (2003). Evaluation of irrigation system performance in irrigation schemes Sakarya Basin. Tarım Bilimleri Dergisi 9: 116-124 (in Turkish).
Çakmak B, Kibaroglu A, Kendirli B, Gökalp Z (2010). Assessment of the irrigation performance of transferred schemes in Turkey: a case study analysis. Irrigation and Drainage 59 (2): 138-149.
Çakmak B, Polat HE, Kendirli B, Gökalp Z (2009). Evaluation of irrigation performance of Asartepe irrigation association: a case study from Turkey. Mediterranean Agricultural Sciences 22 (1): 1-8.
Campbell S, Diebold F (2005). Weather forecasting for weather derivatives. Journal of the American Statistical Association 100: 6-16. doi: 10.1198/016214504000001051
Corcoles JI, Tarjuelo JM, Moreno MA, Ortega JF, De Juan JA (2010). Evaluation of irrigation systems by using benchmarking techniques. In: Proceedings of XVII. World Congress of the International Commission of Agricultural and Biosystems Engineering; Québec City, Canada. pp. 225-234.
Değirmenci H (2004). Assessment of irrigation schemes with comparative indicators in Kahramanmaraş region. KSU Journal of Science and Engineering 7 (1): 104-110.
Değirmenci H, Büyükcangaz H, Kuşçu H (2003). Assessment of irrigation schemes with comparative indicators in the Southeastern Anatolia Project. Turkish Journal of Agriculture and Forestry 27 (5): 293-303.
Değirmenci H, Tanrıverdi Ç, Arslan F, Gönen E (2017). Benchmarking performance of large scale irrigation schemes with comparative indicators in Turkey. Scientific Papers. Series E. Land Reclamation, Earth Observation and Surveying, Environmental Engineering 6: 87-92.
DSİ (2019). Monitoring and Evaluation Reports of Irrigation Schemes. 20th District General Directorate of State Hydraulic Works. Ankara, Turkey: General Directorate of State Hydraulic Works.
Engle R (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica 50: 987-1008. doi: 10.2307/1912773
Jowitt PW, Xu C (1992). Demand forecasting for water distribution systems. Civil Engineering System 9: 105-121. doi: 10.1016/j. proeng.2014.02.038
Kartal S (2018). Performance assessment of irrigation schemes with multivariate some statistical methods: a case study of Turkey. PhD, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey.
Kartal S, Değirmenci H (2019). Evaluation of irrigation networks with performance indicators. KSU Journal of Agriculture and Nature 22 (Ek Sayı 1): 222-229 (in Turkish with an abstract in English). doi: 10.18016/ksutarimdoga.vi.555094
Kartal S, Değirmenci H, Arslan F (2019a). The effect of irrigation channel type and length on irrigation performance indicators. KSU Journal of Agriculture and Nature 22 (3): 444-450. doi: 10.18016/ksutarimdoga.vi.502821
Kartal S, Değirmenci H, Arslan F (2019b). Ranking irrigation schemes based on principle component analysis in the arid regions of Turkey. Agronomy Research 17 (2): 456-465. doi: 10.15159/AR.19.053.
Kartal S, Değirmenci H, Arslan F (2020). Assessment of irrigation schemes with performance indicators in southeastern irrigation district of Turkey. Journal of Agricultural Sciences 26 (2): 138-146. doi: 10.15832/ankutbd.543990
Maidment DR, Miaou SP, Crawford MM (1985). Transfer function models of daily urban water use. Water Resources Research 21: 425-432. doi: 10.1029/WR021i004p00425
Malano H, Burton M (2001). Guidelines for Benchmarking Performance in the Irrigation and Drainage Sector. Rome, Italy: IPTRID and FAO.
Molden DJ, Sakthivadivel R, Perry CJ, Fraiture CD, Kloezen WH (1998). Indicators for Comparing Performance of Irrigated Agricultural Systems. International Water Management Institute (IWMI), Research Report 20. Colombo, Sri Lanka: IWMMI.
Nalbantoğlu G, Çakmak B (2007). Benchmarking of irrigation performance in Akıncı irrigation district. Tarım Bilimleri Dergisi 13 (3): 213-223 (in Turkish).
Nelson D (1991). Conditional heteroskedasticity in asset returns: a new approach. Econometrica 59: 347-370. doi: 10.2307/2938260
Renault D, Facon T, Wahaj R (2007). Modernizing Irrigation Management: The MASSCOTE Approach--Mapping System and Services for Canal Operation Techniques. Rome, Italy: FAO.
Rodríguez-Díaz JA, Camacho E, López R (2004). Applying benchmarking and data envelopment analysis (DEA) techniques to irrigation districts in Spain. Irrigation and Drainage 53: 135-143. doi: 10.1002/ird.128
Rodríguez-Díaz JA, Camacho E, López R, Pérez L (2005). Los indicadores de gestión y las técnicas de benchmarking aplicados a la mejora de las comunidades de regantes. Ingeniería del Agua 12 (1): 63-76 (in Spanish). doi: 10.4995/ia.2005.2552
Rodríguez-Díaz JA, Camacho-Poyato E, Lopez-Luque R, PérezUrrestarazu L (2008). Benchmarking and multivariate data analysis techniques for improving the efficiency of irrigation districts: an application in Spain. Agricultural Systems 96 (1- 3): 250-259. doi: 10.1016/j.agsy.2007.07.010
Rodríguez-Díaz JA, López Luque R, Carrillo Cobo MT, Montesinos P, Camacho Poyato E (2009). Exploring energy saving scenarios for on-demand pressurised irrigation networks. Biosystems Engineering 104: 552-561. doi: 10.1016/j. biosystemseng.2009.09.001
Soto-García M, Martínez-Alvarez V, García-Bastida PA, Alcon F, Martin-Gorriz B (2013a). Effect of water scarcity and modernisation on the performance of irrigation districts in south-eastern Spain. Agricultural Water Management 124: 11- 19. doi: 10.1016/j.agwat.2013.03.019
Soto-García M, Martin-Gorriz B, García-Bastida PA, Alcon F, Martínez-Alvarez V (2013b). Energy consumption for crop irrigation in a semiarid climate (south-eastern Spain). Energy 55: 1084-1093. doi: 10.1016/j.energy.2013.03.034
T.C. Tarım ve Orman Bakanlığı (2019). Ulusal Su Planı (2019-2023). Ankara, Turkey: T.C. Tarım ve Orman Bakanlığı (in Turkish).
Zema DA, Nicotra A, Tamburino V, Zimbone SM (2015). Performance assessment of collective irrigation in water users’ Associations of Calabria (Southern Italy). Irrigation and Drainage 64 (3): 314-325. doi: 10.1002/ird.1902
Zema DA, Nicotraa A, Mateosb L, Zimbonea SM (2018). Improvement of the irrigation performance in water users associations integrating data envelopment analysis and multiregression models. Agricultural Water Management 205: 38- 49. doi: 10.1016/j.agwat.2018.04.032
Zhou SL, McMahon TA, Walton A, Lewis J (2002). Forecasting operational demand for an urban water supply zone. Journal of Hydrology 259: 189-202. doi: 10.1016/S0022-1694(01)00582-0