Skip to main content
Log in

Economic effects of changing the quality and quantity of water in drought conditions, case study: Qazvin, Iran

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

Drought reduces the quantity and quality of water resources and ultimately increases the risk of agricultural activities at the farm level. Therefore, by developing risk-based economic models, the effects of changes in the quantity and quality of water resources on farmers' decisions should be examined. In this regard, the economic effects of drought on farmers in the Qazvin Plain Irrigation Network have been evaluated. For this purpose, firstly, the river flow quality was simulated using the Qual2k model in 1998–2016 and then using the biophysical model, the effects of water quality on crop yield were estimated. Finally, the risk effects of changes in water quantity and quality were calibrated using a Positive Risk Mathematical Programing. The risky effects of drought are estimated in three scenarios, including increasing salinity of water, reducing the amount of water and a combination of these two. The results showed that farmers' response to changes in water quantity is much greater than its qualitative changes, because the change in water quantity occurs in a shorter time and the cropping pattern leads to the products with less water requirement such as irrigated barley. Also, profit (Gross Margin) and farmer’s income risk declined in all scenarios. Although the negative effects due to reducing the amount of water are more than the effects of increasing the salinity of water, but reducing water quality as a result of drought will have significant effects on the sustainability of agricultural products.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Adesina AA, Ouattara AD (2000) Risk and agricultural system in northem Cote Ivories. Agric Syst 66(1):17–32

    Article  Google Scholar 

  • Aghakhani A, Feizi M, Solhi M, Ramezani Etedali M (2013) Water desalination for agriculture, necessity, importance and limitations. Journal of Land Management 1(1):17–31 (In Persian)

    Google Scholar 

  • Akbari M, Najafi Alamdarlo H, Mosavi SH (2020) The effects of climate change and groundwater salinity on farmers’ income risk. Ecol Indic 110:105893

    Article  CAS  Google Scholar 

  • Attrill MJ, Power M (2000) Modelling the effect of drought on estuarine water quality. Water Res 34(5):1584–1594

    Article  CAS  Google Scholar 

  • Benhin JK (2008) South African crop farming and climate change: an economic assessment of impacts. Global Environ Change 18(4):666–678

    Article  Google Scholar 

  • Chang CC (2002) The potential impact of climate change on Taiwan’s agriculture. Agr Econ 27(1):51–64

    Article  Google Scholar 

  • Chapra SC (2008) Surface water-quality modeling. Waveland Pr Inc.

  • Esteban E, Albiac J (2016) Salinity pollution control in the presence of farm heterogeneity: an empirical analysis. Water Econ Policy 2(2):1–20

    Article  Google Scholar 

  • Ghasemi F, Jakeman A, Nix H (1995) Global salinization of land and water resources: human causes, extent and management. Australian National University, Canberra, Centre for Resource and Environmental Studies, pp 211–220

    Google Scholar 

  • Griffin RC, Bromley DW (1982) Agricultural runoff as a nonpoint externality: a theoretical development. Am J Agr Econ 64(3):547–552

    Article  Google Scholar 

  • Hassani Y, Hashemy Shahdany SM (2019) Agricultural water distribution under drought conditions based on economic priorities: case study of qazvin irrigation district. Irrig Drain 68:443–451

    Article  Google Scholar 

  • Hérivaux C, Orban P, Brouyère S (2013) Is it worth protecting groundwater from diffuse pollution with agri-environmental schemes? a hydro-economic modeling approach. J Environ Manage 128:62–74

    Article  Google Scholar 

  • Hisdal H, Tallaksen LM (2003) Estimation of regional meteorological and hydrological drought characteristics: a case study for Denmark. J Hydrol 281(3):230–247

    Article  Google Scholar 

  • Howitt RE (1995) Positive Mathematical-Programming. Am J Agr Econ 77:329–342

    Article  Google Scholar 

  • Kannel PR, Lee S, Lee YS, Kanel S, Pelletier G (2007) Application of automated QUAL2Kw for water quality modeling and management in the Bagmati River. Nepal Ecol Model 202(3–4):503–517

    Article  Google Scholar 

  • Karamouz M, Karachian R (2003) Planning and quality management of water resources systems. Amirkabir University of Technology Press, Persian

    Google Scholar 

  • Kim D, Kaluarachchi JJ (2016) A risk-based hydro-economic analysis for land and water management in water deficit and salinity affected farming regions. Agric Water Manag 166:111–122

    Article  Google Scholar 

  • Mahdavi M, Bazrafshan O, Javanshir A, Nodoushani R, Babapour M (2010) Study of the effect of benthic community structure of taleghan river on the determination of water quality. J Natural Environ 63(1):75–91 (In Persian)

    Google Scholar 

  • Mainuddin M, Kirby M, Qureshi ME (2007) Integrated hydrologic–economic modelling for analyzing water acquisition strategies in the Murray River Basin. Agr Water Manage 93(3):123–135

    Article  Google Scholar 

  • McKee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. 8th Conference on Applied Climatology, Anaheim, California

  • Mortazavi SA, Najafi Alamdarlo H, Zaghi Bijarbas M (2019) Estimating the eco-environmental value of damages caused by groundwater over drafting. Int J Environ Sci Te 16(7):3861–3868

    Article  Google Scholar 

  • Mosavi SH, Bahmanpouri S (2015) Energy price liberalization and agricultural risk; the case study of baize plain. Agri Econ Research 27(7):129–148 (In Persian)

    Google Scholar 

  • Mosavi SH, Soltani S, Khalilian S (2020) Coping with climate change in agriculture: evidence from Hamadan-Bahar plain in Iran. Agric Water Manag 241:106332

    Article  Google Scholar 

  • Mosley LM (2015) Drought impacts on the water quality of freshwater systems; review and integration. Earth Sci Rev 140:203–214

    Article  CAS  Google Scholar 

  • Noshadi M, Fahandezh S, Shaharaki R (2013) Determination of salinity effects and irrigation management practices in both surface and sub-surface drip irrigation methods on tomato plants. The 4th National Conference on Irrigation and Drainage Management, Ahwaz, Iran (In Persian)

  • Olarinde L, Manyong V, Okoruwa V (2008) Analyzing optimum and alternative farm plans for risk averse grain crop farmers in Kaduna state, northern Nigeria. World J Agri Sci 4(1):28–35

    Google Scholar 

  • Pelletier GJ, Chapra SC, Tao H (2006) QUAL2Kw–A framework for modeling water quality in streams and rivers using a genetic algorithm for calibration. Environ Model Softw 21(3):419–425

    Article  Google Scholar 

  • Peña-Haro S, Llopis-Albert C, Pulido-Velazquez M, Pulido-Velazquez D (2010) Fertilizer standards for controlling groundwater nitrate pollution from agriculture: El Salobral-Los Llanos case study. Spain J Hydrol 392(3–4):174–187

    Article  Google Scholar 

  • Peña-Haro S, Pulido-Velazquez M, Llopis-Albert C (2011) Optimal fertilizer control for meeting EU groundwater nitrate concentration standards: El Salobral-Los Llanos case study. IAHS AISH Publ 342:21–24

    Google Scholar 

  • Qazvin Meteorological Organization. 2015. Annual reports. (In Persian)

  • Qureshi ME, Whitten SM, Mainuddin M, Marvanek S, Elmahdi AA (2013) biophysical and economic model of agriculture and water in the Murray-Darling Basin. Australia, Environ Model Softw 41:98–106

    Article  Google Scholar 

  • Salami H, Shahnooshi N, Thomson KJ (2009) The economic impacts of drought on the economy of Iran: An integration of linear programming and macro econometric modelling approaches. Ecol Econ 16(4):1032–1039

    Article  Google Scholar 

  • Salassi ME, Deliberto MA, Guidry KM (2013) Economically optimal crop sequences using risk-adjusted network flows: modeling cotton crop rotations in the southeastern United States. Agric Syst 118:33–40

    Article  Google Scholar 

  • Semaan J, Flichman G, Scardigno A, Steduto P (2007) Analysis of nitrate pollution control policies in the irrigated agriculture of Apulia Region (Southern Italy): A bio-economic modelling approach. Agric Syst 94(2):357–367

    Article  Google Scholar 

  • Sheikhzeinoddin A, Esmaieli A, Zibaei M (2016) Policy incentives for reducing nitrate leaching in agricultural lands: a case study of irrigation and drainage dorudzan. Agricultural Economics & Development 30(2):127–135 (In Persian)

    Google Scholar 

  • Tedeschi A, Beltran A, Aragüés R (2001) Irrigation management and hydro salinity balance in a semi-arid area of the middle Ebro river basin (Spain). Agr Water Manage 49(1):31–50

    Article  Google Scholar 

  • Umoh GS (2008) Programming risks in wetlands farming: evidence from Nigerian floodplains. J Hum Ecol 4(2):85–92

    Article  Google Scholar 

  • Williams W (2001) Anthropogenic salinization of inland waters Saline Lakes. Springer, Netherland

    Google Scholar 

  • You L, Rosegrant MW, Wood S, Sun D (2009) Impact of growing season temperature on wheat productivity in China. Agr Forest Meteorol 149(6–7):1009–1014

    Article  Google Scholar 

  • Zhang R, Gao H, Zhu W, Hu W, Ye R (2015) Calculation of permissible load capacity and establishment of total amount control in the Wujin River Catchment—a tributary of Taihu Lake. China Environ Sci Pollut R 22(15):11493–11503

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to H. Najafi Alamdarlo.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Editorial responsibility: Samareh Mirkia.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Akbari, M., Najafi Alamdarlo, H. & Mosavi, S.H. Economic effects of changing the quality and quantity of water in drought conditions, case study: Qazvin, Iran. Int. J. Environ. Sci. Technol. 19, 2951–2960 (2022). https://doi.org/10.1007/s13762-021-03406-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-021-03406-y

Keywords

Navigation