Abstract:
The geothermal resource is one of the great sources of energy on the planet. The conventional prospecting of this type of energy is a slow process that requires a great amount of time and significant investments. Nowadays, geophysical techniques have experienced an important evolution due to the irruption of UAVs, which combined with infrared sensors can provide great contributions in this field. The novelty of this technology involves the lack of tested methodologies for their implementation in this type of activities. The research developed is focused on the proposal of a methodology for the exploration of hydrothermal resources in an easy, economic, and rapid way. The combination of photogrammetry techniques with visual and thermal images taken with UAVs allows the generation of temperature maps or thermal orthomosaics, which analyzed with GIS tools permit the quasi-automatic identification of zones of potential geothermal interest along rivers or lakes. The proposed methodology has been applied to a case study in La Hermida (Cantabria, Spain), where it has allowed the identification of an effluent with temperatures close to 40 °C, according to the verification measurements performed on the geothermal interest area. These results allow validation of the potential of the method, which is strongly influenced by the particular characteristics of the study area.
摘要:
地热资源是地球上最重要的能源之一。这种能源的常规勘探是一个缓慢的过程,需要大量的时间和大量的投资。如今,由于无人机的爆发,地球物理技术经历了重要的演变,与红外传感器相结合可以在这一领域做出巨大贡献。这项技术的新颖性涉及缺乏在此类活动中实施这些技术的测试方法。所开发的研究重点是提出一种简单的热液资源勘探方法,经济,快速的方式。将摄影测量技术与无人机拍摄的视觉和热图像相结合,可以生成温度图或热正交图,使用GIS工具进行分析后,可以准自动识别沿河流或湖泊的潜在地热兴趣区。拟议的方法已应用于LaHermida(Cantabria,西班牙),允许识别温度接近40°C的废水,根据对地热兴趣区进行的验证测量。这些结果可以验证该方法的潜力,这受到研究区域特定特征的强烈影响。