基于Landsat 8和气象资料的苏门答腊岛火山最北端热通量能量监测

M. Yanis, N. Zaini, Isra Novari, Faisal Abdullah, B. G. Dewanto, M. Isa, Marwan Marwan, M. Zainal, Abdurrahman Abdurrahman
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引用次数: 5

摘要

地热能作为绿色可再生能源的一部分,在世界范围内得到了广泛的开发,以取代目前的常规化石能源。Peut Sagoe是苏门答腊岛北部的一座活火山。该火山的地热和能源储量研究尚未完全探明。这是由于火山位于高地形,周围是茂密的热带森林,这使得在该地区部署地球物理仪器具有挑战性。利用2013 - 2020年Landsat 8热红外数据和气象数据,通过计算辐射热通量(RHF)和测量每年通过放热率(HDR)损失的能量来估算能量资源。我们还使用归一化植被指数(NDVI)进行植被分析,并估算其发射率数据。采用单窗算法计算地表温度。利用Stefan-Boltzmann方程对热红外数据进行分析,环境温度和相对湿度数据来自印度尼西亚气象局(BMKG)数据库。结果表明,火山口区植被值低,地表温度高(25°C ~ 35°C),表明该区存在地下热活动。结果表明,2013年最大RHF值为55 W/m2, 2020年最大RHF值为37 W/m2。采用15%的RHF数据计算HDR数据,2013年和2015年的能量损失分别为132.5 MWe和64.5 MWe。2017年增加到186.4兆瓦,2020年增加到89兆瓦。基于这些预测结果,我们认为Landsat 8热红外图像与气象数据相结合是估算偏远地区火山地热能潜力和能量损失的有效方法
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Monitoring of Heat Flux Energy in the Northernmost Part of Sumatra Volcano Using Landsat 8 and Meteorological Data
Geothermal energy, as a part of green and renewable energy, has been widely developed in the world to replace the current conventional fossil energy. Peut Sagoe is an active volcano in the northern part of Sumatra. The volcanic mountain has not been completely explored for geothermal and energy reserves study. This is due to the volcano locates in a high topography and surrounded by dense tropical forest, which makes it challenging to deploy geophysical instruments in the area. The Landsat 8 thermal infrared and meteorological data from 2013 – 2020 were used to estimate the energy resources by calculating the radiative heat flux (RHF) and measuring the energy lost annually through the heat discharge rate (HDR). We also used the normalized differential vegetation index (NDVI) for vegetation analysis, and estimation of its emissivity data. The mono-window algorithm was used to calculate the land surface temperature (LST). The Stefan–Boltzmann equation was utilized to analyze thermal infrared data for RHF, and ambient temperature and relative humidity data were acquired from the Indonesian Meteorological Agency (BMKG) database. The results showed that low vegetation values and high LST of 25°C–35°C were found in crater areas, which indicate the underground thermal activities of the mountain. It demonstrates that the maximum RHF values were 55 W/m2 in 2013 and 37 W/m2 in 2020. The HDR data were calculated by applying 15% of the RHF data, and the amounts of energy lost were 132.5 MWe and 64.5 MWe in 2013 and 2015 respectively. It increased to 186.4 MWe in 2017 and 89 MWe in 2020. Based on these predicted results, we conclude that the combination of thermal infrared imagery of Landsat 8 and meteorological data is an effective approach in estimating geothermal energy potential and energy loss of volcanoes situated in remote areas
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CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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