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王春阳,刘艳霞,毕京佳,董慧君.典型电厂区多源遥感定量反演的适宜性评价[J].广西科学,2016,23(6):528-537. [点击复制]
- WANG Chunyang,LIU Yanxia,BI Jingjia,DONG Huijun.Evaluation of Various Satellite Sensors for Quantitative Retrieval of Different Elements in Diverse Power Plant[J].Guangxi Sciences,2016,23(6):528-537. [点击复制]
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| 典型电厂区多源遥感定量反演的适宜性评价 |
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王春阳1, 刘艳霞2, 毕京佳2,3, 董慧君4
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| (1.山东电力工程咨询院有限公司, 山东济南 250013;2.中国科学院海洋研究所, 海洋地质与环境重点实验室, 山东青岛 266071;3.青岛恒天翼信息科技有限公司, 山东青岛 266061;4.山东省东营市勘察测绘院, 山东东营 257091) |
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| 摘要: |
| [目的]探讨典型电厂厂址区各种地质要素在多源遥感监测的影像及方法选取方面的适宜性。[方法]以寿光火电厂和西北典型洪灾区(有4个电站)为例,从海岸线变化监测和洪水痕迹范围识别方面,开展适宜性评价研究。[结果]对电厂厂址尺度范围内的海岸线变化监测,在传感器类型和反演方法选取时,不同潮滩坡降分别受到影像空间分辨率、水边线高程误差和改正时的内插误差、坡度改正误差的影响,而需要选择相应合适的影像数据。在进行洪水淹没范围的提取时,遥感反演、现场调访和模拟结果对比显示,基于Landsat数据的土壤含水量法提取的洪痕及洪水淹没范围更加准确。[结论]本研究结果可为电厂选址及后期监测选取适宜的遥感数据源和相应技术方法提供参考,为工程厂址环境监测提供可靠的遥感反演理论依据。 |
| 关键词: 多源遥感技术 电厂选址 岸线变化监测 洪痕识别 |
| DOI：10.13656/j.cnki.gxkx.20170109.001 |
| 投稿时间：2016-11-12 |
| 基金项目:海洋公益性行业科研专项经费项目"典型海岛生态脆弱性评估及综合调控技术研究与示范"子课题"高强度开发海岛生态脆弱性评估及调控技术应用示范"项目和国家自然科学基金项目(41306190)资助。 |
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| Evaluation of Various Satellite Sensors for Quantitative Retrieval of Different Elements in Diverse Power Plant |
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WANG Chunyang1, LIU Yanxia2, BI Jingjia2,3, DONG Huijun4
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| (1.Shandong Electric Power Engineering Consulting Institute Co., Ltd., Jinan, Shandong, 250013, China;2.Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, 266071, China;3.Qingdao Heng Tian Yi Information Technology Co., Ltd, Qingdao, Shandong, 266061, China;4.Dongying Surveying and Mapping Institute of Shandong Province, Dongying, Shandong, 257091, China) |
| Abstract: |
| [Objective] The impacts of spatiotemporal resolution of remote sensing satellite sensors were explored on the accuracy of quantitative retrieval of different elements in diverse regions.[Methods] An ability of various satellite sensors for waterline extraction and inundated area identification was evaluated in Shouguang coal-fired power plant and the northwest typical flood area.[Results] The result of shoreline change monitoring shows that tidal variations and terrain change can affect the use of remote sensing techniques for delineating coastline.In different beach slope scales,waterline heightens error,interpolation inaccuracy,inadequate sensor resolution and slope correcting error will separately play a major role.In the extraction of flood inundated area by remote sensing inversion,the soil moisture content method using Landsat data is considered more accurate in extracting of flood-mark and inundated area based on the comparative verification of the results of the field survey and simulation.[Conclusion] This study can provide reasonable remote sensing data source and the corresponding technical methods for the location selection and post monitoring of power plant,and also service the reliable theory basis of remote sensing interpretation on the environmental monitoring of engineering site. |
| Key words: multi-source satellite technique power plant site selection coastline extraction flood-mark identification |
