Spatio-temporal Monitoring of Groundwater Changes on Desertification Intensity in Agricultural Areas in Dargaz Plain, Khorasan Razavi Province

Authors

10.22052/deej.2018.7.21.49

Abstract

Introduction: A lot of part of Iran is covered by dry and semi-arid climate. In these regions, due to the lack of rainfall, agriculture is heavily dependent on groundwater resources. The continuing drought in recent decades and the excessive withdrawal of groundwater aquifers for agricultural development, has led to more land degradation and desertification. Understanding the quality and quantity of groundwater as one of the most important and most vulnerable sources of water supply in recent decades which is so necessary. For optimal groundwater management, it is necessary to collect sufficient information from a set of quantitative and qualitative characteristics of aquifers in different regions and to be evaluated in appropriate ways. Therefore, due to the importance of this issue (non-systematic use of water resources for agricultural activities), the present study aims to assess the process of ground water changes due to the agricultural activities in Dargaz county of Khorasan Razavi province along with the presentation and proposal of management plans for risk reduction Desertification was carried out. Demir et al. (2009) investigated the spatial variation of depth and salinity of groundwater in agricultural areas in northern Turkey using the statistical method of the earthquake. The results of their research showed that the eastern part of agricultural lands in the middle parts of the Black Sea, which has poor drainage, has the highest salinity risk. Akbari et al. (2009), using the Geographic Information System, studied the groundwater level in Mashhad Plain during the twenty years and estimated the average annual loss of 60 centimeters. Their results indicated that the increase in the number of wells in the area and drought, were the main causes of groundwater subsidence decline.
 
Methodology: The study area is located in northeastern part of Iran and in the north of Khorasan Razavi province. Dargaz County has an area of about 376459 ha. Dargaz Plain is considered as one of the agricultural poles in Khorasan Razavi province. In order to study the process of water change, two sub-criteria of groundwater quantity such as the groundwater table index, and quality indices were used such as water conductivity, sodium adsorption ratio, and chlorine index. For evaluation and zonation of quantitative indices of groundwater level, 124 wells and 111 aqueducts were used and the analyzed using geo-statistical interpolation such as Kriging method in GIS software environment. In addition, groundwater quality criteria has evaluated during the 20 years period of 1996-2016 and in the 5 years’ time period.
 
Validation and verification of the model: The non-parametric Mann-Whitney Test (Mann and Whitney, 1947) in the Minitab environment was employed to test the model validity. The non-parametric Mann-Whitney test is used to compare two independent categorical groups. The Mann-Whitney test relies on these null and alternative hypotheses: H0: There is no difference between the two groups, H1: There is a difference between the two groups. In the Mann-Whitney test, N is the number of samples randomly selected from the map and sampled in the field. The Mann-Whitney value is compared with the value identified by consulting the significance table
 
Results: The results showed that the highest rate of groundwater was in the northwestern part of this region. The research area was not badly affected by changes in chlorine concentration and sodium absorption ratio in groundwater, and classified into very low and low. Finally, two quantitative and qualitative indicators of groundwater in the severity of the risk of desertification, the region is located in three low, moderate and severe risk classes, respectively.
 
Discussion and Conclusions: At present, uncontrolled management of underground water utilization, the development of agricultural land in the traditional way, and the release of lands, have made these areas one of the centers of the erosion crisis. The amounts of changes in the electrical conductivity index in the eastern parts of this region fluctuated from extreme to very intense. It has risen from 14 percent in 1996 to 32 percent in 2011 and finally reaches 23 percent at the end of the year (2016). This condition indicates an early warning stage for the salinity of irrigation water in this area. The results indicate that the rate of groundwater loss in the western and northwest parts of the study region is the highest, mostly, due to the deep and unannounced drilling of wells and the excessive removal of groundwater. Given the current situation and recent droughts, Dargaz Plain Underground Water Management should be considered as a priority for crisis management by officials and experts in executive agencies.

Keywords


1. Agricultural Jihad Department in Dargaz, 2017 Interview with agricultural, Interview with agricultural experts at the Agricultural Jihad Department in Dargaz. 2. Akbari, M., 2016. Proposing an Early Warning System for Desertification Hazard (Case study: Semi desert region of the Gorgan Plain, Golestan Province, Iran), Ph.D. Thesis. Gorgan University of Agricultural Sciences and Natural Resources, 403 p. 3. Akbari, M., Jargeh, M.R., Madani Sadat, H., 2009. Investigation of groundwater loss using geographic information system (Case study: Mashhad plain aquifer). Journal of aquatic resources research 16(4), 78-63. 4. Akbari, M., Ownegh, M., Asgari, H.R., Sadoddin, A. and Khosravi, H., 2016. Desertification risk assessment and management program. Global Journal of Environmental Science and Management 2(4), 365-380. 5. Al-Senafy, M. and J. Abraham., (2004). Vulnerability of groundwater resources from agricultural activities in Southern Kuwait. Agric. Water Manage. Pp. 1-15. 6. Arami, A., Ownegh, M., Sheikh, V. B., 2013. Assessment of desertification risk in semi-arid Agh-Band Region, Golestan Province, Iran. International Journal of Agricultural Crop Science 5, 1901-1908. 7. Ardakani, S., Rcban, SH., Mani J.O, M., 2014. Evaluation of concentration of some heavy metals in groundwater resources of Ghahavand plain of Hamadan. Monthly Journal of Kermanshah University of Medical Sciences 18(6), 348-339. 8. Azareh, A., Rafiei Sardoii, E., Nazari Samani, A., Masoudi, R., and Khosravi, H., 2014. Study on Spatial and Temporal Variations of Groundwater Level in Garmsar Plain. Journal of Desert Management 3, 11-20. 9. Davari, S., Rashki, A. L., Akbari, M., 2016. Impact of agricultural lands on desertification based on the IMDPA model of the study area: Desert region of Ghasemabad, Bajestan, Khorasan Razavi, National Conference on Agricultural Sciences, Natural Resources and Environment, Gorgan. 10. Delbari, M. Afrasiab, P. and Miremadi, S. R., 2011. Spatio-temporal Variability Analysis of Groundwater Salinity and Depth (Case study: Mazandaran province). Iranian Journal of irrigation and drainage 3(4), 359-374. 11. Demir, Y. Et al., 2009. "Spatial Variability of Depth and Salinity of Groundwater under Irrigated Ustifluvents in the Middle Black Sea Region of Turkey", Environmental Monitoring and Assessment 158(1), 279- 294. 12. Hosseinalizadeh, M., and Yaghubi, A., 2010. Spatiotemporal Variability of Ground Water Using Geostatistic. Iran Watershed Management Science & Engineering 4(10): 63-68 pp. 13. Huiqun, M., Ling, L., 2008. Water quality assessment using artificial neural network. In International Conference on Computer Science and Software Engineering 5-13 December, USA. 14. Johnston K., VerHoef J. M., Krivoruchko K., and Lucas N., 2001.Using Arc-GIS.Geostatistical analyst. ESRI, 300 p. California, E.U.A. 15. Khodai, K., Shahsavari, A., Etebari,B., 2006. Evaluation of Jowin groundwater changes using Drastic and Gods methods. Geological Journal of Iran 2 (4), 73-87. 16. Mann, H. B., and Whitney, D. R., 1947. On a test of whether one of two random variables is stochastically larger than the other. The Annals of Mathematical Statistics 18: 50-60. 17. Masoudi, R., Zehtabian, G, R., Ahmadi, H., Malkian, A., 2015. Evaluation of the quantitative and qualitative changes of groundwater in Kashan Plain. Desert Management Journal 5, 80-67. 18. Mei, K., Liao, L., Zhu, Y., Lu, P., Wang, Z., Dahlgren, R. A., and Zhang, M., 2014. Evaluation of spatial-temporal variations and trends in surface water quality across a rural-suburban-urban interface. Environmental Science and Pollution Research 21(13), 8036-8051.‌ 19. Naderianfar, M., Ansari, H., Ziaie, A., and davary, K., 2011. Evaluating the groundwater level fluctuations under different climatic conditions in the basin Neyshabour, Iranian of Irrigation & Water Engineering, 1(3), 22-37. 20. Natural Resources, 2008. Natural Resources Reports of Khorasan Razavi. 21. Rafi sharifabad, G., Zehtabian, G, R., 2015. Assessment of the actual state of desertification of Yazd-Ardakan plain based on two criteria of water and climate, Journal of Management of Desert 3, 60-51. 22. Sayad, H., 2012. Assessment of quantitative and qualitative of groundwater of Dargaz Plain in Dargaz Township. MSc Thesis. Ferdowsi university of Mashhad. Faculty of Science. 23. Silakhori, A., Ownegh, M., Sadoddin, A. 2014. Desertification risk and hazard assessment in Sabzevar region using MICD model. Emergency Management Journal, 91: 89-99. 24. Sun, Y., Kang, S., Li, F., and Zhang, L., 2009. Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. Environmental Modelling & Software 24(10), 1163-1170 25. Yazdanpanahi, A., Akabri, M., Behrangmanesh, M. 2018. Spatio-temporal variable of groundwater parameters using Geo-statistical methods in Mashhad plain, Extension and Development of Watershed Management, 6(20): 25-34 26. Zehtabian, G, R., Khosravi, H., Azareh, A., 2014a. The effect of agricultural activities on land degradation in Khatam. Journal of Rangeland and Watershed Management, Iranian Journal of Natural Resources 67(1), 72-61. 27. Zehtabian, G, R., Khosravi, H., Masoudi, R., 2014b. Desertification Evaluation Models (Criteria and Indicators). Tehran University Press, pp. 3480. 258. 28. Zhu, Z., 1998. Concept, cause and control of desertification in China. Quaternary Sciences II, pp. 145-15.