遥感技术在干热岩选区中的应用——以鲁东地区为例
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摘要
当前,全球面临能源新技术的重大变革,发展清洁低碳能源成为新潮流。而干热岩作为一种清洁能源且具有巨大的开发潜力,更是受到了社会各界人士的广泛关注。就目前来说,干热岩的研究还处于起步阶段,在靶区确定上存在很大困难。文章通过Landsat8冬季的遥感影像数据,利用Envi5.3软件对其进行754波段假彩色合成,人工解译出线环形构造;采用大气校正法,结合当地气温,排除城镇建筑物的影响,反演出地表温度和利用遥感影像来提取羟基蚀变信息。并对解译结果进行分级。然后将研究区以30个市行政区为基本评价单元,利用已收集的山东省地热资料,航磁重力异常数据,结合专家打分法与层次分析法进行权重叠加,最后运用综合评价公式对评价单元打分,得分较高的即为干热岩开发适宜区。适宜区主要是日照市,较适宜区有招远市、栖霞市、诸城市、五莲县、莒南县、青岛市、即墨区,其他市区相比较不适宜。此次研究将对改善地方投资、带动地方资源利用发挥重要作用,对有效改善鲁东地区能源供应结构、促进经济社会可持续发展具有良好的社会效益。
At present, the world is facing major changes in new energy technologies, and the development of clean and low-carbon energy has become a new trend. As a clean energy source and a huge potential for development, dry hot rock has been paid more attention from all walks of life. For the time being, the research on dry hot rock is still in its infancy, and there is great difficulty in determining the target area. Through Landsat8 winter remote sensing image data, Envi5.3 software is used to perform 754-band false color synthesis, and the line ring structure is manually interpreted. By using the atmospheric correction method, combining with local temperature, eliminating the influence of urban buildings, inverting the surface temperature, and using remote sensing images, hydroxyl alteration information has been extracted, and the interpretation results have been classified. Regarding 30 municipal administrative districts as the basic evaluation unit in the study area, by using collected geothermal data of Shandong province, the aeromagnetic gravity anomaly data, combining with the expert scoring method and the analytic hierarchy process, using comprehensive evaluation formula, evaluation unit has been scored. The higher score is the suitable area for dry hot rock development. The suitable area is Rizhao city. The more suitable areas are Zhaoyuan city, Qixia city, Zhucheng city, Wulian city, Weinan city and Jimo city, other urban areas are less suitable. This research will play an important role in improving local investment and stimulating local resource utilization, effectively improving the energy supply structure in Ludong and promoting economic and social sustainable development with inestimable social benefits.
At present, the world is facing major changes in new energy technologies, and the development of clean and low-carbon energy has become a new trend. As a clean energy source and a huge potential for development, dry hot rock has been paid more attention from all walks of life. For the time being, the research on dry hot rock is still in its infancy, and there is great difficulty in determining the target area. Through Landsat8 winter remote sensing image data, Envi5.3 software is used to perform 754-band false color synthesis, and the line ring structure is manually interpreted. By using the atmospheric correction method, combining with local temperature, eliminating the influence of urban buildings, inverting the surface temperature, and using remote sensing images, hydroxyl alteration information has been extracted, and the interpretation results have been classified. Regarding 30 municipal administrative districts as the basic evaluation unit in the study area, by using collected geothermal data of Shandong province, the aeromagnetic gravity anomaly data, combining with the expert scoring method and the analytic hierarchy process, using comprehensive evaluation formula, evaluation unit has been scored. The higher score is the suitable area for dry hot rock development. The suitable area is Rizhao city. The more suitable areas are Zhaoyuan city, Qixia city, Zhucheng city, Wulian city, Weinan city and Jimo city, other urban areas are less suitable. This research will play an important role in improving local investment and stimulating local resource utilization, effectively improving the energy supply structure in Ludong and promoting economic and social sustainable development with inestimable social benefits.
引文
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[12] 吉曹翔,杨黎黎,于璐,等.基于Landsat8数据的沈阳市地表温度反演研究[J].中国科技信息,2018(Z1):45-47+49.
[13] 薛云,戴塔根,邓会娟,等.基于蚁群算法的羟基蚀变信息的提取——以青海省同仁县阿哇地区为例[J].地质通报,2008(5):657-661.
[14] 张杨.干热岩形成机理及开发潜力研究[D].西安:长安大学,2016:37-38.
[15] 李野.松辽盆地EGS地热资源评价及勘察开发选区初步研究[D].长春:吉林大学,2017:52-60.
[16] 蔺文静,甘浩男,王贵玲,等.我国东南沿海干热岩赋存前景及与靶区选址研究[J].地质学报,2016,90(8):2043-2058.
[17] 李学伦,刘保华,孙效功,等.山东半岛硅热流值与区域地质条件的关系[J].青岛海洋大学学报,1997(1):77-85.
[18] 王永波,丁文萍,马奎羽,等.层次分析法创建地热水前景评价模型的研究[J].城市地质,2016,11(2):10-13.
[19] 李爱军,闫成云.层次分析法结合MAPGIS在地质灾害易发性评价的应用[J].甘肃地质,2013,22(4):78-83.
[2] 田立强,范士彦.文登地区浅部干热岩地热资源的赋存条件分析[J].山东国土资源,2016,32(8):27-30.
[3] 杨方,李静,任雪姣.中国干热岩勘查开发现状[J].资源环境与工程,2012,26(4):339-341.
[4] 蔺文静,刘志明,王婉丽,等.中国地热资源及其潜力评估[J].中国地质,2013,40(1):312-321.
[5] 王浩,卢建荣,兰善治.利津县干热岩开发利用条件探析[J].山东国土资源,2015,31(5):20-23.
[6] 蔺文静,王凤元,甘浩男,等.福建漳州干热岩资源选址与开发前景分析[J].科技导报,2015,33(19):28-34.
[7] 赵丛,朱琳,李怀渊,等.航空和地面综合地球物理方法开展干热岩探测研究[J].矿产勘查,2018,9(5):938-946.
[8] 何双凤,高鹤,张福强,等.深部地热资源勘察中的地球物理电磁法应用可行性与优势研究[J].山东工业技术,2017(5):230-234.
[9] 赵雪宇,曾昭发,吴真玮,等.利用地球物理方法圈定松辽盆地干热岩靶区[J].地球物理学进展,2015,30(6):2863-2869.
[10] 高利东,赵胜金,杨海星,等.霍林河地区遥感影像线性构造解译[J].西部资源,2017(6):123-126.
[11] 张亮,那晓东,刘知,等.基于国产GF-2卫星影像的遥感地质解译:以阿吾拉勒地区为例[J].地质科技情报,2018,37(2):233-240.
[12] 吉曹翔,杨黎黎,于璐,等.基于Landsat8数据的沈阳市地表温度反演研究[J].中国科技信息,2018(Z1):45-47+49.
[13] 薛云,戴塔根,邓会娟,等.基于蚁群算法的羟基蚀变信息的提取——以青海省同仁县阿哇地区为例[J].地质通报,2008(5):657-661.
[14] 张杨.干热岩形成机理及开发潜力研究[D].西安:长安大学,2016:37-38.
[15] 李野.松辽盆地EGS地热资源评价及勘察开发选区初步研究[D].长春:吉林大学,2017:52-60.
[16] 蔺文静,甘浩男,王贵玲,等.我国东南沿海干热岩赋存前景及与靶区选址研究[J].地质学报,2016,90(8):2043-2058.
[17] 李学伦,刘保华,孙效功,等.山东半岛硅热流值与区域地质条件的关系[J].青岛海洋大学学报,1997(1):77-85.
[18] 王永波,丁文萍,马奎羽,等.层次分析法创建地热水前景评价模型的研究[J].城市地质,2016,11(2):10-13.
[19] 李爱军,闫成云.层次分析法结合MAPGIS在地质灾害易发性评价的应用[J].甘肃地质,2013,22(4):78-83.