The Impacts of Climate Variability on Spatiotemporal Water Footprint of Tomato Production in The Hormozgan

آب و خاک

Article 2, Volume 32, Issue 1 - Serial Number 57, March 2018, Pages 29-43   

Document Type: Research Article

DOI: 10.22067/jsw.v32i1.68792

Authors

ommolbanin bazrafshan^* ; zahra gerkani nezhad moshizi

University of Hormozgan

Abstract

Introduction: Agriculture sector, as the key consumer of fresh water resources throughout the world, is progressively more squeezed by the requirements ofother contemporary society areas and threatened by potential climatic change. Irrigation is the major part of agricultural water usage in Iran, which consumes 90% of total agricultural water use. Increasing competition for water resources use, in conjunction with climate factors change may have significant effects on water availableness for agricultural production. Climate change has already affected components of the hydrologic cycle, such as precipitation redistribution, runoff and groundwater cycling. The water footprint of a crop is the volume of freshwater both consumed during the crop production process, and it has three components consist of green water footprint (the volume of the precipitation consumed in crop production); blue water footprint (the volume of runoff or groundwater consumed in crop production); grey water footprint (the volume of freshwater that is required to assimilate the load of pollutants during the crop production process) and white water footprint (the volume of water losses during the irrigation process).

Materials and Methods: The Hormozgan is located in a hyper -arid region that is impressionable to the potential impact of climate. The data used in this research consist of climate data and agriculturaldata. The climate data (2002-2016) was taken from the Iran Islamic Republic Meteorological Organization including monthly average maximum temperature, monthly average minimum temperature, relative humidity, precipitation, wind speed and sunshine hours. The agricultural data consists of, cultivation area, crop yield and soil type weretaken from the Agricultural-Jihad Bureau of Hormozgan Province. CROPWAT model is used to estimate crop water and crop irrigation requirements using meteorological, crop and soil dates. Effective precipitation (Pe) values were calculated by USDA method and crop evapotranspiration (ETc) was calculated by FAO-Penman-Montieth method. The WFGreen (effective precipitation), WFBlue (net irrigation requirement) and WFWhite (irrigation water losses) water footprints (WF) of potato production were estimated for Hormozgan. The Mann-Kendall (M-K) trend test is used to analyze the trends and abrupt changes of the climatic factors.

Results and Discussion: The total tomato WF was estimated 0.639 m3/kg in the Hormozgan province that Jask and Bastak have maximum and minimum with 1.54 and 0.66 m3/kg, respectively. The share of green, blue and white water footprint estimated 5, 18 and 77 percent, respectively. The largest shares of water footprint were observed in Bandar- Abbas (27%). The sum of the water footprint it is 19.2 MCM, which is more than 95% of the total water footprint (70.2 MCM) in the whole province. In Bashagard a large share of water footprint is related to the blue water footprint despite having a considerable amount of seasonal precipitation. Regarding the dominance of autumn precipitation in it, changing the vegetation genotype and cultivation of varieties resistant to water deficit will increase the plausibility of dry farming and increases share of the green water footprint. The white water footprint has the largest shares (77%) of while subsidence is so serious in more than 36 plains. Hormozgan province has low precipitation and high water demand. On the other hand, improper irrigation management (number of events and the volume of irrigation) has led to decreased tomato performance in these regions and larger water footprint. The share of blue water footprint is 18% that 4 times more than from WFGreen. The considerable amounts of precipitation in this province, strategies such as cultivation of new genotypes more adapted to the wet periods, shortening the flowering period of Saffron with the aim of avoiding the dry period at the end of the growing season can be considered to reduce the share of the blue water footprint and reduce the share of the green and white water footprints. Total consumed and exported virtual water volume from the region are 10.8 MCM to 28 million Rials per year. The export of these crops imports the most pressure on groundwater and surface water resources of the region. The M-K test results of climatic factors throughout the 2002–2016 study periods in Hormozgan showed that sunshine hours during the tomato growth period experienced downward trends for the M-K statistics values were less than zero and the downward temperature trend reached statistical significance. The declining temperature and sunshine hours would result in lower crop evapotranspiration (ETc) and agricultural water consumption, while CWR donot have any trend. The trend analysis shows that the green, blue and white water footprint had significant increasing trends in the central part. Increasing theyield would result in lower water footprint.

Conclusion: Ground water depletion and water shortage are two problems in Hormozgan province which have occurred due to the irregular use and inappropriate management of demand and supply of water in agricultural sector. The water footprint (WF) of crop production is a comprehensive indicator that can reflect water consumption types, quantities and environmental impacts during the crop growth period. This study assesses interannual variability of green, blue and white WFs of tomato production in Hormozgan from 2001 to 2015. The share of green, blue and white WFs in the region is 5, 17 and 77 percent and 10.5 MCM year-1. Under the combined influence of climate change and water footprint variation, WFCs weredecreasing trends. In contrast, sunshine hours had decreasing trend. The statistical analysis revealed that interannual variabilities of WFCs were caused by both climatic and non-climatic factors.

Keywords

Climate change; Export and Import water footprint, Green and blue water; Value of Water footprint; Water footprint

References

1- Ababaei B., and Ramezani Etedali H. 2017. Water footprint assessment of main cereals in Iran. Agricultural Water Management, 179: 401- 411.

2- Allan J. A. 1997. Virtual water: A long-term solution for water short Middle Eastern economies? Paper presented at the 1997 British Assoc. Festival of Sci., University of Leeds, UK.

3- Allan J. A. 2003. Virtual water eliminates water wars? A case study from the Middle East. PP. 137-145. In: A. Y. Hoekstra (Ed.), Virtual Water Trade, Proc. of the International Expert Meeting on Virtual Water Trade, Value of Water Research Report Series No. 12, IHE, Delft, The Netherlands.

4- Arabi Yazdi A., Alizadeh A., and Mohammadian F. 2009. Study on Ecological Water Footprint in Agricultural Section of Iran, Journal of Water and Soil. 23(4): 1- 15.

5- Arabi A., and Niknia N. 2010. Water footprint, an indicator of the impact of the pattern of consumption of nations. 5th National Congress of Civil Engineering, Mashhad, Ferdowsi University of Mashhad. (in Persian)

6- Chapagain A.K., Hoeksta A.Y., and Savenije H.H.G. 2006. Water saving through international trade of agricultural products. Hydrol. Earth System Science, 10: 455-468, DOI: 10.5194/hess-10-455.

7- Dehghan Pir, Sh. 2015. A Comparative Study on Virtual Water through Problemshed Concept (Hormozgan Province), Master's thesis. (in Persian with English abstract).

8- Duan P., Qin L., Wang Y., and He H. 2015. Spatial pattern characteristics of water footprint for maize production in Northeast China. Journal of the Science of Food Agriculture 96(2): 561- 568. DOI: 10.1002/jsfa.7124.

9- FAO, 2011.Climate change, water and food security. Food and Agriculture Organization of the United Nations, Land and Water Development Division, Rome.

10- Gholam Hosein Pour Jafari Nejad A., Alizadeh A., Nashat A, and Abolhasani Zeraatkar M. 2014. Iranian Journal of Irrigation & Drainage, 8(2): 325- 335. (in Persian)

11- Golkar F., Farahmand A., and Fardad H. 2008. Effect of irrigation water on yield and water use efficiency in tomato. Journal of Water Engineering, (1): 13- 19.

12- Hoekstra A.Y., Chapagain A.K., Aldaya M.M., Mekonnen M.M., 2011. The Water Footprint Assessment Manual. Earthscan, London.

13- Hoekstra A.Y., and Hung P.Q. 2002. Virtual water trade: A quantification of virtual water flows between nations in relation to international crop trade. Value if the Watre Research Report Series. No. 11, UNESCO-IHE, Delft.

14- Hoekstra A. Y., and Chapagain A. K. 2008. Globalization of water: Sharing the planets freshwater resources. Blakwell Publishing, Oxford, UK. DOI: 10.1002/9780470696224.

15- HRWA (2017) Hormozgan water resource bulletin. Hormozgan Regional Water Authority, Bandar Abbas. (in Persia).

16- IPCC. 2007. Summary for policy makers Climate change: The physical science basis. Contribution of working group I to the forth assessment report. Cambridge University Press, 881 PP.

17- Ministry of Agriculture- Jihad (MAJ). 2016, The year of agricultural production, Volume II, 125 p. (in Persian)

18- Mohammadi- Kanigolzar F., Daneshvar Aheri J., and Motee N. 2014. Virtual Water Trade as a Strategy to Water Resource Management in Iran. Journal of Water Resource and Protection, 6: 141 – 148.

19- Montaseri M., Rasouli Majd N., Behmanesh J., and Rezaie H. 2016. Evaluation of Agricultural Crops Water Footprint with Application of Climate Change in Urmia Lake basin. Journal of Water and Soil, 30(4): 1075- 1089. (in Persian with English abstract)

20- Morillo J.G., Martin M., Camacho E., Diaz J.A.R., Montesinos P. 2015. Toward precision irrigation for intensive strawberry cultivation, Agricultural Water Management, 151(1), 43-51, DOI: 10.1016/j.agwat.2014.09.021.

21- Ohmura A., Wild M., 2002. Climate change: is the hydrological cycle accelerating? Science 298: 1345-1346.

22- Omidi F., Homaee, M. 2015. Deriving crop production functions to estimate wheat virtual water and irrigation water price. Journal Management System. 5(2):131- 143. )in Persian with English abstract(

23- Rahimi J., Ebrahimpour M., and Khalili A. 2013. Spatial changes of Extended De Martonne climatic zones affected by climate change in Iran. Theoretical and Applied Climatology 112, 409-418.

24- Ramezani Etedali H., Shokoohi A., and Mojtabavi S.A. 2017. Using the Concept of Virtual Water Footprint in Main Crops Production for Crossing the water crisis in Qazvin. Journal of Water and Soil, 31(2): 422 – 433. (in Persian with English abstract)

25- Safi R., Mirlotfi S.M. 2015. Sugarcane in Khuzestan assess the situation from the perspective of virtual water. Journal of Water Resources 8: 87- 95. (in Persian with English abstract)

26- Salari S., Karandish F., and Darzi-Naftchali A. 2015. Spatial and temporal analyses of the wheat virtual water variations in Sistan and Blouchestan Province, Journal of Irrigation & Water Engineering, 5(18): 81 – 94.

27- Shokoohi A., Ramezani Etedali H., Mojtabavi, S. A. and Singh, V. P. 2016.

Using Water Footprint Accounting for Optimizing Crop Patterns Respecting Sustainable Development (Case Study: Qazvin Plain), Iran – water Resources Research. 3(12): 99 – 113. )in Persian with English abstract)

28- Sun S.K.; Wu P.T.; Wang Y.B., Zhao X.N., Liu J., Zhang X.H. 2012. The temporal and spatial variability of water footprint of grain: A case study of an irrigation district in China from 1960 to 2008. J. Food Agric. Environ. 10, 1246–1251.

29- Van Oel P.R., Mekonnen M.M., and Hoekstra A.Y. 2009. The external water footprint of the Netherlands: Geographically-explicit quantification and impact assessment. Ecological Economics, 69: 82-92.

30- Yang H., Zehnder A. 2006. Virtual water: An unfolding concept in integrated water resources management. Water Resources Research 43:12.