in

A comprehensive approach to enhancing irrigation network management through the water accounting plus framework


Abstract

Water management in irrigation networks is crucial for sustainable agriculture under conditions of water scarcity and climate variability. This study applies the water accounting plus (WA+) framework, integrating meteorological and remote sensing data (WaPOR), to analyze water fluxes, productivity, and spatial heterogeneity in the Qazvin Plain irrigation network from 2009 to 2021. The total net inflow during this period was approximately 10,582 MCM, with contributions from precipitation (≈ 20%), surface inflow (≈ 27%), and storage changes (≈ 53%). Analysis of evapotranspiration revealed that transpiration accounted for 80% of total ET, with 72% classified as beneficial (transpiration plus interception) and 28% as non-beneficial (soil evaporation and canopy interception). Spatial patterns indicate higher water availability in the eastern part of the network and deficits in the western region, highlighting the potential for improving water productivity through targeted interventions such as soil moisture conservation and optimized irrigation scheduling. These findings demonstrate the applicability of the WA + framework for enhancing water use efficiency and informing sustainable irrigation management in semi-arid regions.

Data availability

The datasets generated and/or analyzed during the current study are not publicly available due to privacy concerns and proprietary constraints, but they are available from the corresponding author on reasonable request.

References

  1. Nazari, B. & Keshavarz, M. Water population density: global and regional analysis. Theor. Appl. Climatol. 153 (1), 431–445 (2023).

    Google Scholar 

  2. Yargholi, B., Kanani, E. & Sepehri, S. A long-term assessment of the effectiveness of a semi-artificial wetland in removing organic materials and nutrients from agricultural drainage water. J. Water Process. Eng. 55: 104117 (2023).

    Google Scholar 

  3. Kanani, E., Dehghanisanij, H. & Akhavan, S. Variation in actual corn (Zea Mays L.) evapotranspiration, single, and dual crop coefficient under different point source irrigation systems in a semiarid region. Theor. Appl. Climatol. 148, 303–315 (2022).

    Google Scholar 

  4. Dehghanisanij, H., Kanani, E. & Akhavan, S. Evapotranspiration and components of corn (Zea Mays L.) under micro irrigation systems in a semi-arid environment. Span. J. Agric. Res. 18, e1202 (2020).

    Google Scholar 

  5. She, Y. et al. Evaluating losses from water scarcity and benefits of water conservation measures to intercity supply chains in China. Environ. Sci. Technol. 58, 1119–1130 (2024).

    Google Scholar 

  6. Zhang, W., Liang, W., Gao, X., Li, J. & Zhao, X. Trajectory in water scarcity and potential water savings benefits in the yellow river basin. J. Hydrol. 633, 130998 (2024).

    Google Scholar 

  7. Ingrao, C., Strippoli, R., Lagioia, G. & Huisingh, D. Water scarcity in agriculture: an overview of causes, impacts and approaches for reducing the risks. Heliyon 9, e18507 (2023).

    Google Scholar 

  8. Yargholi, B., Sepehri, S. & Kanani, E. Removal of heavy metals from agricultural runoff using constructed wetland; traces pollutants in Reed bed sediments and plant biomass. Wetl Ecol. Manag. 32, 1–20 (2023).

    Google Scholar 

  9. Morante-Carballo, F., Montalván-Burbano, N., Quiñonez-Barzola, X., Jaya-Montalvo, M. & Carrión-Mero, P. What do we know about water scarcity in semi-arid zones? A global analysis and research trends. Water 14, 2685 (2022).

    Google Scholar 

  10. Banihashemi, S. M., Eslamian, S. S. & Nazari, B. The impact of climate change on wheat, barley, and maize growth indices in near-future and far-future periods in Qazvin Plain, Iran. Int. J. Plant. Prod. 15, 45–60 (2021).

    Google Scholar 

  11. Kanani, E., Nazari, B. & Dehghanisanij, H. A new framework for evaluating water use reduction strategies using an integrated, holistic, and transparent approach (Urmia lake basin case study). J. Clean. Prod. 434, 140193 (2024).

    Google Scholar 

  12. Nazari, B., Kanani, E. & Sepehri, S. A new perspective in assessing the real water saving resulting from the use of irrigation technology intervention. J. Water Resour. Plann. Manag. 150, 04024033 (2024).

    Google Scholar 

  13. Wang, H. et al. (2024) Evaluating the impact of various driving factors on future water supply and demands. J. Water Clim. Change 15 (7): 3293–3311 .

    Google Scholar 

  14. Yang, Z., Wang, Z., Yao, Z. & Bao, X. Optimal allocation planning of regional water resources with multiple objectives using improved firefly algorithm. AQUA—Water infrastructure. Ecosyst. Soc. 73, 746–770 (2024).

    Google Scholar 

  15. Naeem, K., Zghibi, A., Elomri, A., Mazzoni, A. & Triki, C. A literature review on system dynamics modeling for sustainable management of water supply and demand. Sustainability 15, 6826 (2023).

    Google Scholar 

  16. Nazari, B., Kanani, E. & Sepehri, S. Assessment of water productivity improvement strategies using system dynamics approach. Appl. Water Sci. 13, 240 (2023).

    Google Scholar 

  17. Zhou, A., Zhao, W. & Pereira, P. Mapping and assessing freshwater ecosystem services supply and demand in inner Mongolia (China). Landsc. Ecol. 38, 1885–1902 (2023).

    Google Scholar 

  18. Nazari, B., Liaghat, A., Akbari, M. R. & Keshavarz, M. Irrigation water management in iran: implications for water use efficiency improvement. Agric. Water Manag. 208, 7–18 (2018).

    Google Scholar 

  19. Ferreira, A., Rolim, J., Paredes, P. & Cameira, M. D. R. Methodologies for water accounting at the collective irrigation system scale aiming at optimizing water productivity. Agronomy 13, 1938 (2023).

    Google Scholar 

  20. Patle, P. et al. Assessment of Water Consumption Pattern & Agricultural Production using Water accounting Plus (WA+) Framework: A case study of Mahi River basin. EGU General Assembly Conference Abstracts EGU-2510 (2023).

  21. Food and Agriculture Organization of the United Nations & IHE Delft Institute for Water Education. Water accounting in the Litani River Basin. (Rep.), Rome, pp. 1–63. (2019).

  22. Kanani, E., Nazari, B. & Dehghanisanij, H. A holistic assessment of water resources and management in the Zarrineh river sub basin using water accounting plus. Sci. Rep. 15 (1), 11725 (2025).

    Google Scholar 

  23. Patle, P. & Sharma, A. Evaluation of water resources in a complex river basin using water accounting plus: A case study of the Mahi river basin in India. J. Water Resour. Plann. Manag. 149, 05023017 (2023).

    Google Scholar 

  24. Kumar, N. et al. Water accounting of a trans-boundary river basin using satellite observations and WA + framework. Phys. Chem. Earth. 129, 103343 (2023).

    Google Scholar 

  25. Patle, P., Singh, P. K., Rakkasagi, S., Ahmad, I. & Goyal, M. K. Application of water accounting plus framework for the assessment of the water consumption pattern and food security (Springer Nature, 2023).

    Google Scholar 

  26. Kivi, Z. R., Javadi, S., Karimi, N., Shahdany, S. M. H. & Moghaddam, H. K. Performance evaluation and verification of groundwater balance using WA + as a new water accounting system. Environ. Monit. Assess. 194, 580 (2022).

    Google Scholar 

  27. Ghorbanpour, A. K., Afshar, A., Hessels, T. & Duan, Z. Water and productivity accounting using WA + framework for sustainable water resources management: case study of Northwestern Iran. Phys. Chem. Earth. 128, 103245 (2022).

    Google Scholar 

  28. Singh, P. K., Jain, S. K., Mishra, P. K. & Goel, M. K. An assessment of water consumption patterns and land productivity and water productivity using WA + framework and satellite data inputs. Phys Chem Earth. 126, 103053 (2022).

    Google Scholar 

  29. Abdallah, C., Tarhini, G., Daher, M., Khatib, H. & Zeitoun, M. Water Accounting Plus (WA+) through Remote Sensing in the Yarmouk Tributary Basin. EGU General Assembly Conference Abstracts EGU21-8690 (2021).

  30. Dembele, M., Zwart, S., Ceperley, N. C., Mariethoz, G. & Schaefli, B. Combining Water Accounting Plus (WA+) and hydrological modelling for water resource reporting under climate change in the Volta basin. AGU Fall Meeting Abstracts, H171-0008 (2020).

  31. Zhang, Y., Yang, P., Liu, X. & Adeloye, A. J. Simulation and optimization coupling model for soil salinization and waterlogging control in the Urad irrigation area, North China. J. Hydrol. 607, 127408 (2022).

    Google Scholar 

  32. Song, S., Niu, J., Singh, S. K. & Du, T. Projection of net primary production under changing environment in Xinjiang using an improved wCASA model. J. Hydrol. 620, 129314 (2023).

    Google Scholar 

  33. Mehrabi, A., Heidarpour, M., Safavi, H. R. & Rezaei, F. Assessment of the optimized scenarios for economic-environmental conjunctive water use utilizing gravitational search algorithm. Agric. Water Manag. 246, 106688 (2021).

    Google Scholar 

  34. Dehghani, S., Massah Bavani, A., Roozbahani, A. & Sahin, O. Assessment of climate change-induced water scarcity risk by using a coupled system dynamics and bayesian network modeling approaches. Water Resour. Manag. 38, 3853–3874 (2024).

    Google Scholar 

  35. Blachford, M., Mannaerts, C., Zeng, Y., Nouri, H. & Karimi, P. Influence of Spatial resolution on remote sensing-based irrigation performance assessment using WaPOR data. Remote Sens. 12, 2949. https://doi.org/10.3390/rs12182949 (2020).

    Google Scholar 

  36. Chukalla, A. D. et al. A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique. Hydrol. Earth Syst. Sci. 26, 1–26 https://doi.org/10.5194/hess-26-2759-2022 (2021).

    Google Scholar 

  37. Tantawy, I., Timmermans, J., Mohamed, Y., van de Giesen, N. & April The application of the FAO Water Productivity Open-Access Portal (WaPOR) for the assessment of the Water-Energy-Food Nexus in the Eastern Nile River Basin. In EGU General Assembly Conference Abstracts (p. 5356) (2018).

  38. Dehghanisanij, H., Asadi Oskouei, E. & Taghizadehghasab, A. The interpretation of water consumption in the agricultural sector based on actual evapotranspiration. Iran. J. Irrig. Drain. 15 (6), 1251–1262 (2022).

    Google Scholar 

  39. Yousefi, H., Kordi, F., Mohabbati, F. & Ghasemi, L. Estimation of water consumption in the agricultural area of Iran and evaluation of the results obtained from the WaPOR product with ground data. J. Ecohydrology. 8 (3), 829–839. https://doi.org/10.22059/IJE.2021.324474.1512 (2021). (In Persian).

    Google Scholar 

  40. Soltani, S. S., Ataie-Ashtiani, B., Danesh-Yazdi, M. & Simmons, C. T. A probabilistic framework for water budget estimation in low runoff regions: A case study of the central Basin of Iran. J. Hydrol. 586, 124898 (2020). https://doi.org/10.1016/j.jhydrol.2020.124898

    Google Scholar 

  41. Rahimzadeh, Z., Javadi, S., Karimi, N., Shahdany, H. & Kardan moghaddam, S. M. WA + water accounting approach in the analysis of supply and demand of water resources and hydro-climatology balance (Case study: Plasjan basin). Water Irrig. Manage. 12 (1), 187–199. https://doi.org/10.22059/JWIM.2022.323091.868 (2022). (in Persian).

    Google Scholar 

  42. Rahimpour, M., Karimi, N., Rouzbahani, R. & Eftekhari, M. Validation and calibration of FAO WaPOR product (actual evapotranspiration) in Iran using in-situ measurements. Iran-Water Resour. Res. 14 (2), 254–263 (2018). (in Persian).

    Google Scholar 

  43. Galehban, E., Hamzeh, S., Veysi, S. & Alavipanah, S. K. Sistan and Baluchestan Province)’. Iran. J. Remote Sens. GIS. 14 (2): 37–50. (in Persian)’Estimation of Daily Reference Evapotranspiration Using Remote Sensing Data (Case Study:. (2022). https://doi.org/10.52547/GISJ.14.2.37 (2022). (in Persian)’Estimation of Daily Reference Evapotranspiration Using Remote Sensing Data (Case Study:.

  44. Fakhar, M. S. & Kaviani, A. Evaluation of FAO WaPOR product and PYSEBAL algorithm in estimating the amount of water consumed. Iran. J. Soil. Water Res. 53 (6), 1359–1372. https://doi.org/10.22059/IJSWR.2022.341474.669242 (2022). (in Persian).

    Google Scholar 

  45. Paziresh, H., Nazari, B. & Sotoodehnia, A. Evaluation of irrigation and drainage projects based on water accounting approaches. M.Sc. Thesis, Imam Khomeini International University, Qazvin, Iran. (in Persian). (2021).

  46. FAO. Water Accounting for Water Governance and Sustainable Development (Food & Agriculture Organization, 2018).

  47. Bastiaanssen, W., Cheema, M., Immerzeel, W., Miltenburg, I. & Pelgrum, H. Surface energy balance and actual evapotranspiration of the transboundary indus basin estimated from satellite measurements and the ETLook model. Water Resour. Res. 48, W11512. https://doi.org/10.1029/2011WR010482 (2012).

    Google Scholar 

  48. 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. Fao, Rome. 300: D05109.

    Google Scholar 

  49. Mirgol, B. & Nazari, M. Possible scenarios of winter wheat yield reduction of dryland Qazvin Province, Iran, based on prediction of temperature and precipitation till the end of the century. Climate 6, 78 (2018).

    Google Scholar 

  50. Hu, G. & Jia, L. Monitoring of evapotranspiration in a semi-arid inland river basin by combining microwave and optical remote sensing observations. Remote Sens. 7, 3056–3087 (2015).

    Google Scholar 

  51. Adeboye, O. B., Schultz, B., Adekalu, K. O. & Prasad, K. Soil water storage, yield, water productivity and transpiration efficiency of soybeans (Glyxine max L. Merr) as affected by soil surface management in Ile-Ife, Nigeria. Int. Soil. Water Conserv. Res. 5, 141–150 (2017).

    Google Scholar 

  52. Huang, S., Chang, J., Huang, Q., Wang, Y. & Chen, Y. Spatio-temporal changes in potential evaporation based on entropy across the Wei river basin. Water Resour. Manag. 28, 4599–4613 (2014).

    Google Scholar 

  53. Kozak, J. A., Ahuja, L. R., Green, T. R. & Ma, L. Modelling crop canopy and residue rainfall interception effects on soil hydrological components for semi-arid agriculture. Hydrol. Process. 21, 229–241 (2007).

    Google Scholar 

  54. Zeng, Q., Cao, S. & He, J. Regional differences and dynamic evolution of agricultural water resources utilization efficiency in China. PLOS ONE. 18, e0282051 (2023).

    Google Scholar 

  55. Karimzadeh, S., Hartman, S., Chiarelli, D. D., Rulli, M. C. & D’Odorico, P. The tradeoff between water savings and salinization prevention in dryland irrigation. Adv. Water Resour. 183, 104604 (2024).

    Google Scholar 

  56. Rajmohan, N., Masoud, M. H. & Niyazi, B. A. Impact of evaporation on groundwater salinity in the arid coastal aquifer, Western Saudi Arabia. Catena 196, 104864 (2021).

    Google Scholar 

  57. Wael, M., Riad, P., Hassan, N. A. & Nofal, E. R. Assessment of modern irrigation versus flood irrigation on groundwater potentiality in old clayey lands. Ain Shams Eng. J. 15, 102776 (2024).

    Google Scholar 

  58. Bouimouass, H., Fakir, Y., Tweed, S. & Leblanc, M. Groundwater recharge sources in semiarid irrigated mountain fronts. Hydrol. Process. 34, 1598–1615 (2020).

    Google Scholar 

  59. Ramos, T. B., Darouich, H. & Pereira, L. S. Mulching effects on soil evaporation, crop evapotranspiration and crop coefficients: A review aimed at improved irrigation management. Irrig. Sci. 42, 525–539 (2024).

    Google Scholar 

  60. Wang, F. et al. No-tillage mulch with leguminous green manure retention reduces soil evaporation and increases yield and water productivity of maize. Agric. Water Manag. 290, 108573 (2023).

    Google Scholar 

  61. Abejo, J. R. A. Determine the effective Spatial arrangement in intercropping Pechay (Brassica rapa, L. cv group Pak Choi) and spring onions (Allium fistulosum). Am. J. Agric. Sci. Eng. Technol. 8, 18–22 (2024).

    Google Scholar 

  62. Giménez, V. D., Ciancio, N., Abeledo, L. G. & Miralles, D. J. Genetic progress of malting barley potential grain yield between 1982 and 2019 in Argentina. Field Crops Res. 315, 109435 (2024).

    Google Scholar 

  63. Trunov, Y. V., Solovyev, A. V., Zavrazhnov, A. A. & Tarova, Z. N. Modeling the productivity of intensive and super-intensive apple orchards in the midland of Russia. In IOP Conference Series: Earth and Environmental Science 845, p. 012043. IOP Publishing (2021).

  64. Randev, A. K. Question 65 What on-farm techniques can increase water productivity? General report. Irrigation and Drainage (2024).

  65. Tang, Z. et al. Farmland mulching and optimized irrigation increase water productivity and seed yield by regulating functional parameters of soybean (Glycine max L.) leaves. Agric. Water Manag. 298, 108875 (2024).

    Google Scholar 

  66. Villa et al. Deficit irrigation with silicon application as strategy to increase Yield, photosynthesis and water productivity in lettuce crops. Plants 13, 1029 (2024).

    Google Scholar 

Download references

Funding

The authors received support to conduct the study but the support did not include support for the submitted work.

Author information

Authors and Affiliations

Authors

Contributions

Mahkameh Sadat Naeini: Conceptualization; Data downloading and processing; Writing the original draft; Finalization. Bijan Nazari and Abbas Sotoodehnia: Supervision; Editing drafts; Providing suggestions and additions to improve the findings and their practical applicability.

Corresponding author

Correspondence to
Bijan Nazari.

Ethics declarations

Competing interests

The authors declare no competing interests.

Consent to participate

All authors gave explicit consent to participate in this study.

Consent to publish

All authors gave explicit consent to publish this manuscript.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Cite this article

Naeini, M.S., Nazari, B. & Sotoodehnia, A. A comprehensive approach to enhancing irrigation network management through the water accounting plus framework.
Sci Rep (2025). https://doi.org/10.1038/s41598-025-33024-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1038/s41598-025-33024-4

Keywords

  • Climate change
  • Groundwater
  • WaPOR
  • Water fluxes
  • Water scarcity


Source: Ecology - nature.com

Synthesizing selection mosaic theory and host-pathogen theory to explain large-scale pathogen coexistence

Ethnobotanical study of medicinal plants in Meketewa District, northwestern Ethiopia

Back to Top