Geoinformatics and cartographic analysis, based on modeling and mapping of the microclimate and groundwater flow

Document Type : Research Paper

Authors

1 Institute of Earth Sciences, Saint Petersburg State University, Saint Petersburg, Russian Federation

2 Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Karaj, Iran.

3 Desert Management Dept., International Desert Research Center(IDRC), University of Tehran, Tehran, Iran

Abstract

The study of the groundwater resources and their properties are very important due to the vast desert areas and arid conditions. Given the current situation in Iran, the water supply is one of the most important territorial and environmental problems. In this study, groundwater resources were surveyed and mapped in Yazd Province and their properties were modeled to determine their effectiveness for grazing and agricultural activities. The main objective of this study was to develop and establish groundwater geoinformatics and cartographic monitoring of the meteorological data and groundwater formation. Also, the climatic characteristics were evaluated as determinants parameters of groundwater flow to measure its parameters variations. The thematic charts and geoinformatics maps were provided. Profile software was used for modeling microclimate and groundwater flow’s parameters, like groundwater level and moisture transfer for several decades. Priznak model was used for comparison and multi-parameter analysis of specified profiles and their classification. Finally, different regions of Yazd Province were mapped and classified with different degrees of possibility for grazing and agricultural activities. Results showed that groundwater levels in the study territory are at depths ranging from 40 to 145 m. According to the results, it was observed that the changes in groundwater level and microclimate can be used to evaluate the land capability for grazing and agricultural activities.

Keywords


Anderson. E. I., 2002. Conformal mapping of groundwater flow fields with internal boundaries. Advances in Water Resources, 25; 279–291.
Batelaana, O., F. De Smedta, L. Triestb, 2003. Regional groundwater discharge: phreatophyte mapping, groundwater modelling and impact analysis of land-use change. Journal of Hydrology, 275; 86–108.
BerimNezad, V., G.R. Paykani, 2004. The effect of improving the irrigation efficiency on the increasing groundwater level in the agricultural sector. Agricultural Economics and Development, 47; 69-94.
Cartwright, I., B. Gilfedder, 2015. Mapping and quantifying groundwater inflows to Deep Creek (Maribyrnong catchment, SE Australia) using 222Rn, implications for protecting groundwater-dependent ecosystems. Applied Geochemistry, 52; 118–129.
Dinesan, V.P., M.K. Girish Gopinath,  Ashitha, 2015. Application of Geoinformatics for the Delineation of Groundwater Prospects Zones- A Case Study for Melattur Grama Panchayat in Kerala, India. Aquatic Procedia, 4; 1389–1396.
Fathy, A., 2012. Mapping of groundwater prospective zones using remote sensing and GIS techniques: A case study from the Central Eastern Desert, Egypt. Journal of African Earth Sciences, 70; 8–17.
García-Gil, A., E. Vazquez-Sune, M.M. Alcaraz, A.S. Juan, J.A. Sanchez-Navarro, M. Montlle, G. Rodríguez, J. Lao, 2015. GIS-supported mapping of low-temperature geothermal potential taking groundwater flow into account. Renewable Energy, 77; 268-278.
Tikunova V.S., (Eds.), 2004. Basics of Geoinformatics: textbook guide. Center Academy, Moscow, 352 p.
Kapralov, E.G., N.V. Konovalova, 1997. Introduction to GIS: textbook guide. GIS Association, 155 p.
Magesh, N.S., N. Chandrasekar, J. Prince Soundranayagam, 2012. Delineation of groundwater potential zones in Theni district, Tamil Nadu, using remote sensing, GIS and MIF techniques. Geoscience Frontiers, 3(2); 189-196.
Narmada, K., K. Gobinath, G. Bhaskaran, 2015.  An Assessment of Resource Potentials for Sustainable Development of Micro-watershed in Tirunelveli District Using Geoinformatics– A Case of Nambiyar Micro-watershed in Tirunelveli District, Tamil Nadu, India. Aquatic Procedia, 4; 1299–1306.
Negaresh, H., H. Fallahian Firouzabad, 2010. The Study of Negative Effects of Wind Morph dynamic Activities in Khezer Abad Region of Yazd. 4th International Congress of the Islamic World Geographers (ICIWG), 14-16 April, Zahedan, Iran.
Nobre, R.C.M., O.C. Rotunno Filho, W.J. Mansur, M. Nobre, C.A.N. Cosenza, 2007. Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool. Journal of Contaminant Hydrology, 94; 277–292.
Oha, H.J., Y.S. Kim, J.K. Choi, E. Park, S. Lee, 2011. GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology, 399; 158–172.
Omidvar, K., 2006. A study on the temporal- spatial chances for precipitation enhancement in Yazd province. Quarterly Research Bulletin of Isfahan University (Humanities), 20(1); 93-120.
Ozdemir, A., 2011. GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison. Journal of Hydrology, 411; 290–308.
Pacheco, F.A.L., 2015. Regional groundwater flow in hard rocks. Science of the Total Environment, 506; 182–195.
Switzman, H., P. Coulibaly, Z. Adeel, 2015. Modeling the impacts of dryland agricultural reclamation on groundwater resources in Northern Egypt using sparse data. Journal of Hydrology, 520; 420–438.
Tian, Y., Y. Zheng, B. Wu, X. Wu, J. Liu, C. Zheng, 2015. Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agriculture. Environmental Modelling & Software, 63; 170–184.
Dmitriev, V.V., (Eds.), 2005. Microclimate, groundwater flow and mass transfer modeling. Theory and practice collection of ecological and geographical studies. Saint Petersburg, pp. 250-262.
Zarutsky I.P., N.V. Krasilnikova, 1989. Maps designing and forming. Nature maps, MSU press, 206 p.