Ouangaré Cheik Abba Cissé, Naba Séta, Lachassagne Patrick
Laboratoire Géoscience et Environnement, (LaGE), Département des Sciences de La Terre, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
HSM, Univ. Montpellier, CNRS, IRD, IMT Mines Alès, Montpellier, France.
Heliyon. 2024 Nov 14;10(22):e40376. doi: 10.1016/j.heliyon.2024.e40376. eCollection 2024 Nov 30.
In weathered plutonic and metamorphic rocks areas, because rock outcrops are rare due to the extensive regolith cover, geological mapping is largely based on the interpretation of airborne data and imagery (aerial photographs, satellite images, airborne geophysics when available, etc.). In the sub-Saharan Africa, numerous village water supply campaigns were performed during the last 40 years. Most hydrogeological and geological data from these campaigns are stored and safeguard in country scale databases. In this study, we develop a methodology to improve the existing geological maps in a such geological context with lithological data from the existing databases. These data were not used during past geological mapping; yet they provide a complementary access to the lithology, notably in areas where outcrops are very scarce. We propose a coherent methodology to use and validate such geological data, complementary to field observations on the scarce outcrops, to cope with their uncertainties. We also show that groundwater hydrochemistry, namely the silica content, can be of use to complete the geological mapping. Using data from 735 boreholes drilled in the Koudougou and Léo square study area of Burkina Faso, we validate this new methodological approach and locally propose a more accurate 1:200,000 geological map.
在风化的深成岩和变质岩地区,由于广泛的风化层覆盖使得岩石露头稀少,地质测绘很大程度上基于对航空数据和图像(航空照片、卫星图像、可用时的航空地球物理数据等)的解读。在撒哈拉以南非洲地区,过去40年开展了众多村庄供水项目。这些项目的大多数水文地质和地质数据存储并保存在国家尺度的数据库中。在本研究中,我们开发了一种方法,利用现有数据库中的岩性数据,在这样的地质背景下改进现有的地质图。这些数据在过去的地质测绘中未被使用;然而,它们为了解岩性提供了补充途径。特别是在露头非常稀少的地区,我们提出了一种连贯的方法来使用和验证此类地质数据,以补充对稀少露头的野外观察,应对其不确定性。我们还表明,地下水水化学,即二氧化硅含量,可用于完善地质测绘。利用在布基纳法索库杜古和莱奥广场研究区钻探的735个钻孔的数据,我们验证了这种新的方法,并在当地提出了更准确的1:200,000地质图。