一般社団法人資源・素材学会 平成29(2017)年度春季大会

講演情報(2017年2月23日付)

企画講演

陸から海に至るビッグデータ探査技術-海洋底資源から陸上地熱資源まで-

2017年3月27日(月) 09:00 〜 12:15 第3会場 (6号館 3階 635講義室)

司会: 木崎彰久(秋田大学),長縄成実(東京大学),柏谷公希(京都大学)

11:15 〜 11:30

[1301-12-09] リニアメント分布と時間領域電磁探査比抵抗を用いたモザンビーク中部の結晶質基盤岩域における地下水存在可能性の抽出

マガイア ルイス1、後藤 忠徳1、マスウド アラー2、小池 克明1 (1. 京都大学、2. タンタ大学)

司会: 柏谷公希(京都大学)

キーワード:1地下水、リニアメント、時間領域電磁探査法、比抵抗、モザンビーク

Groundwater resource is crucial in African countries for agriculture, industry, and drinking. To detect high potential zones of groundwater and understand geological structures controlling the potentiality, we combine lineament analysis and the transient electromagnetic method (TEM) by selecting a central part of Mozambique mainly covered by Precambrian gneiss as a case study. Gridded data from Shuttle Radar Topographic Mission Digital Elevation Model (SRTM DEM) is enhanced using the adaptive-tilt multi-directional shading technique and lineaments are extracted from it using a non-filtering technique, Segment Tracing Algorithm (STA). Next, TEM line are set across the continuous lineaments with dominant trend, NNW, which are regarded to be aligned along the inferred faults in different geological settings from a geological map. The TEM survey consists of the TEM-FAST 48HPC system with a single square coincident loop of 20 by 20 m2. Along the lines, 2D resistivity distributions are modeled from the 1D resistivity columns by the inversion analysis at each TEM site and the connection of adjacent columns. Apparent resistivity curves with various characteristics are observed along the lines, which highlights lateral discontinuities of resistivity. In general, resistivities decline and become lower than 80 Ωm in the middle lineament zones and tend to increase with increasing of distance from the zones to be higher than 100 Ωm. This contrast is probably caused by the degree of weathering along the fracture zone and therefore, intense weathering is a control factor of groundwater occurrence. However, the effect of lineament is not evident in some lines. We try to include the vegetation index from optical sensor image as an auxiliary information on shallowness and richness of groundwater.

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