| 重金属污染土壤植物修复效果评价方法 ——高光谱遥感 |
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| 引用本文： | 迟晓杰,谷海红,李富平,艾艳君,袁雪涛.重金属污染土壤植物修复效果评价方法 ——高光谱遥感[J].金属矿山,2019,48(1):16-23. |
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| 作者姓名： | 迟晓杰 谷海红 李富平 艾艳君 袁雪涛 |
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| 作者单位： | 华北理工大学矿业工程学院,河北唐山,063210;华北理工大学矿业工程学院,河北唐山063210;河北省矿业工程开发与安全技术重点实验室,河北唐山063210;唐山市矿区生态修复产业技术研究院,河北唐山063210 |
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| 基金项目： | 基金项目：河北省自然科学基金项目（编号：E2015209300）,河北省教育厅项目（编号：BJ2014029）,河北省引进留学人员资助项目（编号：CL201633）。 |
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| 摘 要： | 重金属污染土壤修复是当今全球生态修复中面临的一项难题。植物修复因其成本低、环保等优点在重金属污染土壤治理中展现出良好的应用前景。高光谱遥感技术可以高效、无损、实时地获取植物的生理生化参数信息,可为评价植物修复效果提供技术支撑。阐述了高光谱遥感技术在重金属污染土壤植物修复中的应用进展,探讨了高光谱遥感反演植被理化参数含量的估算模型,并对基于微分光谱、基于“三边”参数、基于植被指数等估算模型进行了分析比较,为有效评价矿区植物修复效果提供参考。
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| 关 键 词： | 高光谱遥感 植物修复 重金属污染 土壤修复反演 估算模型 |
Evaluation Method for Phytoremediation Effect of Heavy Metal Contaminated Soil:Hyperspectral Remote Sensing |
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| Chi Xiaojie,Gu Haihong,Li Fuping,Ai Yanjun,Yuan Xuetao.Evaluation Method for Phytoremediation Effect of Heavy Metal Contaminated Soil:Hyperspectral Remote Sensing[J].Metal Mine,2019,48(1):16-23. |
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| Authors: | Chi Xiaojie Gu Haihong Li Fuping Ai Yanjun Yuan Xuetao |
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| Affiliation: | 1. College of Mining Engineering,North China University of Science and Technology,Tangshan 063210,China;2. Hebei Key Laboratory of Mining Development and Security Technology,Tangshan 063210,China;3. Tangshan Research Institute of Ecological Restoration Technology for Mining Industry,Tangshan 063210,China |
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| Abstract: | Heavy metal contaminated soil remediation is a difficult problem in today's global ecological restoration.Phytoremediation is a promising choice for the treatment of heavy metal contaminated soil because of its cost-effective and environmentally compatible characteristics.Hyperspectral remote sensing technology can obtain the physical and chemical parameter information of vegetation growth in a high-efficiency,non-destructive and real time manner.It provides technical support for evaluation of the effects of phytoremediation.The application progress of hyperspectral remote sensing technology in phytoremediation are described,and estimation models of vegetation physicochemical parameter of heavy metal contaminated soil is discussed. Besides that,the estimation models based on differential spectrum,"three-sided" parameters and vegetation index are analyzed and compared,so as to provide reliable reference of evaluating the effects of phytoremediation in mining areas. |
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| Keywords: | Hyperspectral remote sensing Phytoremediation Heavy metal contaminated |
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