吉林大学学报(地球科学版) ›› 2016, Vol. 46 ›› Issue (3): 855-864.doi: 10.13278/j.cnki.jjuese.201603207

• 地质工程与环境工程 • 上一篇    下一篇

深部水热型地热潜力区的GIS预测模型——以土耳其西安纳托利亚地区为例

张延军1,2, 余海1, 李建明1, 于子望1, 张佳宁1   

  1. 1. 吉林大学建设工程学院, 长春 130026;
    2. 吉林大学地下水资源与环境教育部重点实验室, 长春 130026
  • 收稿日期:2015-10-11 出版日期:2016-05-26 发布日期:2016-05-26
  • 作者简介:张延军(1968),男,教授,博士生导师,主要从事工程地质、地热地质方面的研究,E-mail:zhangyanj@jlu.edu.cn
  • 基金资助:

    国家高技术研究发展计划(国家“863”计划)项目(2012AA052801);国家自然科学基金项目(41372239);高等学校博士学科点专项科研基金(20110061110055)

Prediction Models of Deep Hydrothemal Geothermal Potential Areas Based on GIS: A Case Study of Western Anatolia, Turkey

Zhang Yanjun1,2, Yu Hai1, Li Jianming1, Yu Ziwang1, Zhang jianing1   

  1. 1. College of Construction Engineering, Jilin University, Changchun 130026, China;
    2. Key Lab of Groundwater Resource and Environment Ministry of Education, Jilin University, Changchun 130026, China
  • Received:2015-10-11 Online:2016-05-26 Published:2016-05-26
  • Supported by:

    Supported by National High-Tech R&D Program of China ("863" Program)(2012AA052801), National Natural Science Foundation of China(41372239) and Research Fund for the Doctoral Program of Higher Education of China(20110061110055)

摘要:

开发地热资源有着很大的不确定性和很高的经济风险,需要建立可靠的数学预测模型以确定潜在地热区。通过对地震震中、断层、布格重力异常、磁异常和红外遥感5个与地热密切相关的因素进行整合,建立了地热潜力区的数学预测模型;并以土耳其西安纳托利亚地区为例,对模型的优劣性进行分析评价。运用指数叠加模型和证据权重模型分别建立地热潜力区图,预测成功指数表明证据权重模型的预测结果更为准确。其中,中高潜力区总面积为26 529 km2,占总面积的31.14%,包含39个地热点,占总地热点的50.65%。预测结果显示潜在地热区位于Ayd?n,Denizli,Manisa和Bal?kesir,其中前2个地区的地热已经被开发利用。本研究可以在地热勘探阶段确定潜在地热区,降低经济风险。

关键词: 水热型地热资源潜力, 地球物理特征, 多准则决策分析, GIS预测模型

Abstract:

Geothermal exploration involves a high degree of uncertainty and financial risk, and requires reliable prediction model to identify geothermal potential areas. Mathematical prediction models were established by integrating five factors that closely related to geothermal, including earthquake epicenter, lineament, Bouger gravity anomaly, magnetic anomaly and infrared remote sensing; and the advantages and disadvantages of models were compared by an example of western Anatolia, Turkey. Index overlay(IO) and weights of evidence(WofE) were applied to establish geothermal resource potential maps, respectively. Success indices suggest that the predicting outcomes of WofE are more reliable than IO. The very favorable area and the favorable area are about 26 529 km2, accounting for 31.14% of total area, including 39 geothermal resource potential sites, which is 50.65% of the total sites.The potential areas in the WofE map are Ayd?n, Denizli, Manisa and Bal?kesir, of which the former two have been explored and exploited. This study is helpful to locate geothermal potential areas and reduce financial risk in the process of geothermal exploration.

Key words: hydrothemal geothermal resource potential, geophysical characteristics, multicriteria decision analysis, prediction models based on GIS

中图分类号: 

  • P314.2

[1] GB/T 11615-2010地热资源地质勘查规范[S].北京:中国标准出版社,2010. GB/T 11615-2010 Geologic Exploration Standard of Geothermal Resources[S].Beijing:China Standard Press, 2010.

[2] 黄少鹏.中国地热能源开发的机遇与挑战[J].中国能源,2014,36(9):4-8. Huang Shaopeng. The Development Opportunities and Challenges of Geothermal Energy in China[J].Energy of China, 2014, 36(9):4-8.

[3] Flóvenz Ó G, Bj rnsson G, Samundsson K. Pressure Signals in Geothermal Systems in S-Iceland Caused by Two Large Earthquakes in June 2000[J]. IGA News, 2001:43.

[4] 方娜.腾冲热海地热田地质特征及形成机制研究[D].昆明:昆明理工大学,2013. Fang Na. Tengchong Geothermal Field Geological Characterristics and Formation Mechanism Research[D]. Kunming:Kunming University of Science and Technology, 2013.

[5] 杨立本,程长根.重力测量在地热田勘查工作中的应用[C]//江苏省地质学会.地球科学与社会可持续发展:2005年华东六省一市地学科技论坛论文集.南京:江苏省地质学会,2005:295-297.. Yang Liben, Cheng Changgen. The Application of Gravity Measurement in Geothermal Field Exploration Work[C]//Geological Academy of Jiangsu Province.Earth Sciences and Social Sustainable Development:Science and Technology Forum of 2005 at Six Provinces in East China.Nanjing:Geological Academy of Jiangsu Province,2005:295-297.

[6] 王佟.中国西北赋煤区构造发育规律及构造控煤研究[D].北京:中国矿业大学,2012:11-13. Wang Tong. Tectonic Development Law and Tectonic Coal-Controlling of Northwest China Coal Hosting Area[D].Beijing:China University of Mining, 2012:11-13.

[7] 张中言.西藏羊八井地区遥感数据地温反演与地热异常探[D].成都:成都理工大学,2010:3-10. Zhang Zhongyan. Temperature Inversion of Remote Sensing Data Zone and Nvestigation of Geothermal Anomaly in Yangbajing Region of Tibet[D]. Chengdu:Chengdu University of Technology, 2010:3-10.

[8] Coolbaugh M F, Shevenell L A. A Method for Estimating Undiscovered Geothermal Resources in Nevada and the Great Basin[J]. GRC Transactions, 2004, 28:13-18.

[9] Younes N, Ryuichi I, Hikari F, et al. GIS Model for Geothermal Resource Exploration in Akita and Iwate Prefectures, Northern Japan[J]. Computers & Geosciences, 2007, 33(8):1008-1021.

[10] Nesrin T, M.Lütfi S, Nilgün G. GIS Based Geothermal Potential Assessment:A Case Study from Western Anatolia, Turkey[J]. Energy, 2010, 35:246-261.

[11] Bonham-Carter G. Statistical Association of Gold Occu-rences with Landsat-Derived Lineaments, Timmins-Kirkland Lake Area, Ontario[J]. Canadian Journal of Remote Sensing, 2007, 11(2):195-210.

[12] Carranza,E J M. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS[M]. Oxford:Elsevier Science, 2009:351.

[13] Agterberg F P, Bonham Carter G F, Wright D F. Statis-tical Pattern Integration for Mineral Exploration[C]//Gall G, Merriam D F. Computer Application for Mineral Exploration in Resource Exploration and Assessment for Minerals and Petroleum. Oxford:Pergamon, 1990:1-21.

[14] Bonham Carter G F, Agterberg F P, Wright D F. Inte-gration of Geological Datasets for Gold Exploration in Nova Scotia[J].Photogrammetry and Remote Sensing,1988, 54:1585-1592.

[15] 王志旺,李端有,王湘桂.证据权法在滑坡危险度区划研究中的应用[J].岩土工程学报,2007(8):1268-1273. Wang Zhiwang, Li Duanyou, Wang Xianggui. Zonation of Landslide Hazards Based on Weights of Evidence Model[J]. Chinese Journal of Geotechnical Engineering,2007(8):1268-1273.

[16] 赵龙.基于GIS的证据权法在辽宁省铁矿预测中的应用[D].沈阳:东北大学,2007:40-41. Zhao Long. Applications of the Weights of Evidence Model Based on GIS to Prediction of Iron Ore Deposits in Liaoning Province[D]. Shenyang:North-Eastern University,2007:40-41.

[17] Agterberg F P. Computer Programs for Mineral Explora-tion[J]. Science, 1989, 245:76-81.

[18] 刘世翔,薛林福,郄瑞卿,等.基于GIS的证据权重法在黑龙江省西北部金矿成矿预测中的应用[J].吉林大学学报(地球科学版),2007,37(5):889-894. Liu Shixiang, Xue Linfu, Qie Ruiqing, et al. An Application of GIS-Based Weights of Evidence for Gold Prospecting in the Northwest of Heilongjiang Province[J]. Journal of Jilin University(Earth Science Edition), 2007, 37(5):889-894.

[19] 徐仕琪,冯京,田江涛,等.西昆仑落石沟一带铅锌矿成矿特征及区域预测[J].吉林大学学报(地球科学版),2013,43(4):1190-1199. Xu Shiqi, Feng Jing, Tian Jiangtao, et al. Metallogenic Rules and Regional Prediction of Lead-Zinc Deposits in Luoshigou of West Kunlun[J]. Journal of Jilin University(Earth Science Edition), 2013, 43(4):1190-1199.

[20] 王欣.基于GIS的证据权模型在秦岭-松潘金矿潜力预测中的应用[J].物探化探计算技术,2007(4):349-352, 279. Wang Xin. An Approach to Gold Mineral Prediction Using GIS Based Weights of Evidence Method in QinLing Metallogenetic Region[J]. Computing Techniques for Geophysical and Geochemical Exploration, 2007(4):349-352, 279.

[21] Ziyadin C, Ahmet M A, S Belabbes, et al. Creeping Along the Ismetpasa Section of the North Anatolian Fault (Western Turkey):Rate and Extent from InSAR[J]. Earth and Planetary Science Letters,2005,238(1/2):225-234.

[22] Simsek S. Present Status and Future Development Possi-bilities of Ayd?n-Denizli Geothermal Province[J].International Geothermal Conference, Reykjavík, 2003:11-16.

[23] 刘岳,陈翠华,何彬彬.基于证据权模型的东昆仑五龙沟金矿潜力预测[J].中国矿业大学学报,2011(2):298-304. Liu Yue, Chen Cuihua, He Binbin. Weights of Evidence Modeling for Gold Potential Prediction in Wulonggou,Eastern Kunlun[J].Journal of China University of Mining & Technology, 2011(2):298-304.

[24] 李建明.基于证据权重法对中国地热的预测研究[D]. 长春:吉林大学,2012:49-51. Li Jianming. Geothermal Prediction and Reaserch of China Based on the Method of Evidence Weight[D]. Changchun:Jilin University, 2012:49-51.

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