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Trinh, T., Kavvas, M.L., Ishida, K., Ercan, A., Chen, Z.Q., Anderson, M.L., Ho, C. and Nguyen, T. (2018) Integrating Global Land-Cover and Soil Datasets to Update Saturated Hydraulic Conductivity Parameterization in Hydrologic Modeling. Science of the Total Environment, 631-632, 279-288.
https://doi.org/10.1016/j.scitotenv.2018.02.267

has been cited by the following article:

• TITLE: Particle Size Distribution and Hydraulic Conductivity in Coastal Non-Agricultural Land in Gaza Coastal Plain

  AUTHORS: Jamal Safi, Yasser El-Nahhal, Mohamed Safi

  KEYWORDS: Particle Size, Hydraulic Conductivity, Soil Disturbance, Coastal Land, Soil Profile, Ecosystem

  JOURNAL NAME: International Journal of Geosciences, Vol.9 No.10, October 26, 2018

  ABSTRACT: Background: Particle size distribution and hydraulic conductivity of coastal no-agricultural lands are not available. This study characterized the particle size distribution and hydraulic conductivity on coastal non-agricultural land along the coastal plain of Gaza. Materials and Methods: Six soil profiles were digged along the coastal plain in Gaza Strip and soil samples were collected from 0 - 150 cm depth. Four soil plots around each site were used to determine the hydraulic conductivity using Infiltrometer method. Four particle size groups were identified, group 1 (630 nm), group 2 (200 nm), group 3 (63 nm) and group 4 (20 nm). Results: Dominancy of particle size group 2 was noticed in all sites followed by group 3. Groups 1 and 4 were less dominant in all sites. Hydraulic conductivity ranged from lower value 0.27 in the control soil plot in Khan Younis (site 1) to the highest value 1.76 m/s in disturbed soil plot in Shakhejjlen (site 3) with regression coefficient (R2) range of 0.9725 - 0.997 indicating strong positive association. Conclusion: It can be concluded that the coastal non-agricultural land is sandy with various hydraulic conductivity values due to different particle size distribution. These data are useful to the scientific community around the world and will be helpful to speculate potential risk factors to life of ecosystem.