application of electrical resistivity prospecting in waste water management: a case study (kharga oasis, egypt)

application of electrical resistivity prospecting in waste water management: a case study (kharga oasis, egypt)

;M.I.I. Mohamaden;A. Wahaballa;H.M. El-Sayed
2005 18th international conference on applied electromagnetics and communications, icecom 2005 2016 Vol. 42 pp. 33-39
210
mohamaden2016egyptianapplication

Abstract

Electrical resistivity technique has been used to detect the subsurface stratigraphy and structures around Kharga Oasis, Egypt. 1D inversion approaches have been applied to interpret the electrical data obtained along 10 vertical electrical soundings (VES) using electrode spacing from 3 to 400 m. A preliminary quantitative interpretation of the vertical electrical sounding curves was achieved firstly using two-layer standard curves and generalized Cagniard graphs. The manual models were used as initials to prepare the final model using the algorithm IPI2Win program. Model results were used to construct a geoelectrical section. Three geoelectric units were identified: the superficial geoelectrical layer is composed mainly of sand and gravel with relatively high resistivity values (8–372 ohm m) and low thicknesses (0.523–4.92 m). The age of this layer is from late Pleistocene to Holocene (Quaternary deposits). The second geoelectrical layer is composed of shale (Dakhla Shale). It is characterized by relatively very low electrical resistivity values (0.3–4.92 ohm m). The maximum depth to this layer ranges from 13.8 to 45.7 m. The third layer represents the first Nubian Sandstone aquifer with moderate electrical resistivity values (23.9–233 ohm m) detected at the maximum depth of penetration, a great contrast for values according to the lithological content.

Citation

ID: 245226
Ref Key: mohamaden2016egyptianapplication
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
245226
Unique Identifier:
10.1016/j.ejar.2016.01.001
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet