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Kamran Chapi

Kamran Chapi

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 55345306000
Faculty: Faculty of Natural Resources
Address: Department of Nature Reources Rehabilitation, Faculty of Natural Resources, University of Kurdistan, Pasdaran Blvd., Sanandaj, Kurdistan Province, IR Iran, POB 416, Postal Code 6617715175
Phone: +98-8733627721 Ext. 4321

Research

Title
Preliminary Results from Surface and Subsurface Hydrological Investigations of Dehgolan Plain, Kurdistan, Iran using Geophysical, Remote Sensing and GIS Techniques
Type
Thesis
Keywords
Groundwater, Resistivity, Geophysical Techniques, Remote Sensing, GIS, Dehgolan, Kurdistan, Iran
Year
2012
Researchers Payam Sajadi(Student)، Saumitra Mukherjee(PrimaryAdvisor)، Kamran Chapi(PrimaryAdvisor)

Abstract

Water is one of the most important factors in the Iranian agricultural production. In most districts, farming is not possible without irrigation. However, with increasing industrial and domestic water demand and other new demands like aquatic production and ecosystem preservation, the inter-sectoral competition for water is likely to intensify sharply; moreover the possibility for increased water supply appears more limited. Therefore, it is necessary to assess the important aspect and prerequisite of water sector in the future. Today's agriculture accounts for the majority of water withdrawals; hence irrigation is the dominant water use in many arid and semi-arid river basins. Kurdistan Province, with about 500 millimetres of annual rainfall (more than double the average precipitation in Iran) is one of the most water-rich states in Iran. Kurdistan province with only 7.1% area of Iran receives around 5.3 of total annual rainfalls. The main objective of this thesis is to investigate surface and subsurface hydrological condition in Dehgolan Plain, Kurdistan, Iran using the Geophysical, Remote Sensing and GIS Techniques. Following points were considered to achieve our objectives Creation and analysis of database of geoelectrical resistivity surveys in the study area. Subsurface Modelling of Study area Soil sampling and textural analysis Land use-land cover mapping of study area Vegetation analysis from satellite images using NDVI (Normalized Differenced Vegetation Index)