Determination of the Most Important Factors Affecting Submarine Groundwater Discharge to the Persian Gulf Coastlines using Multivariate Regression

Document Type : Research Article

Authors

1 Assistant Professor College of Natural Resources, Yasouj University, Yasouj

2 Associate Professor College of Natural Resources, University of Tehran, Karaj

Abstract

The aim of this study is to determine the most important geomorphometric indices and structural features affecting Submarine Groundwater Discharge (SGD) into the Persian Gulf coastlines. For this purpose, firstly, the maps of lithology, density of lineament, zoning rainfall and temperature, vegetation cover index (NDVI), drainage density, slope, elevation classes, abundance and distribution of springs, profile, length, cross section, general, plate, tangent, total curvatures, and surface ratio, topographic roughness, Vector Ruggedness Measure, Topographic Position, and Topographic Wetness, were prepared on three radii of 10 (buffer 1), 20 (buffer 2) and 30 (buffer 3) km from the coast to the land, using ENVI 5.3, Arc GIS10.3.1, and SAGA GIS 2.1.0 software. Then, the most important factors and the contribution of them in presence the SGD areas were determined using multivariate regression analysis. The results showed that the plate and profile curvatures are the most important curvatures with opposite scores and values. Indicators affecting the presence of SGD areas for the cold season are: springs abundance on buffers 2 and 3, topographic wetness on buffer 3, drainage density on buffer 1 and 3, fault density on buffer 2 and aquifer surface on buffer 1, and for the warm season are: springs abundance on buffer 2 and 3, topographic wetness on buffer 1, cross section curve on buffer 2, total curvature on buffer 2, temperature index on Buffer 3, fault density on Buffer 3, and aquifer surface on buffer 1. In overall, the SGD mapping can be created by integration of several maps including springs abundance, topographic wetness, cross section curve, total curvature, temperature index, fault density, and aquifer surface.

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Main Subjects

References

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Iranian journal of Ecohydrology
Volume 6, Issue 1
April 2019
Pages 165-176

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History

  • Receive Date: 23 September 2018
  • Revise Date: 04 December 2018
  • Accept Date: 04 December 2018

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