Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China
文献类型：期刊论文
| 作者 | Zhu, Linhai2; Zhao, Xuechun2; Lai, Liming; Wang, Jianjian; Jiang, Lianhe; Ding, Jinzhi; Liu, Nanxi; Yu, Yunjiang1; Li, Junsheng1; Xiao, Nengwen1 |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2013 |
| 卷号 | 8期号:1 |
| ISSN号 | 1932-6203 |
| DOI | 10.1371/journal.pone.0054028 |
| 文献子类 | Article |
| 英文摘要 | Assessing oil pollution using traditional field-based methods over large areas is difficult and expensive. Remote sensing technologies with good spatial and temporal coverage might provide an alternative for monitoring oil pollution by recording the spectral signals of plants growing in polluted soils. Total petroleum hydrocarbon concentrations of soils and the hyperspectral canopy reflectance were measured in wetlands dominated by reeds (Phragmites australis) around oil wells that have been producing oil for approximately 10 years in the Yellow River Delta, eastern China to evaluate the potential of vegetation indices and red edge parameters to estimate soil oil pollution. The detrimental effect of oil pollution on reed communities was confirmed by the evidence that the aboveground biomass decreased from 1076.5 g m(-2) to 5.3 g m(-2) with increasing total petroleum hydrocarbon concentrations ranging from 9.45 mg kg(-1) to 652 mg kg(-1). The modified chlorophyll absorption ratio index (MCARI) best estimated soil TPH concentration among 20 vegetation indices. The linear model involving MCARI had the highest coefficient of determination (R-2 = 0.73) and accuracy of prediction (RMSE = 104.2 mg kg(-1)). For other vegetation indices and red edge parameters, the R-2 and RMSE values ranged from 0.64 to 0.71 and from 120.2 mg kg(-1) to 106.8 mg kg(-1) respectively. The traditional broadband normalized difference vegetation index (NDVI), one of the broadband multispectral vegetation indices (BMVIs), produced a prediction (R-2 = 0.70 and RMSE = 110.1 mg kg(-1)) similar to that of MCARI. These results corroborated the potential of remote sensing for assessing soil oil pollution in large areas. Traditional BMVIs are still of great value in monitoring soil oil pollution when hyperspectral data are unavailable. |
| 学科主题 | Multidisciplinary Sciences |
| 出版地 | SAN FRANCISCO |
| WOS关键词 | RED-EDGE ; REFLECTANCE ; LEAF ; RESPONSES ; FOREST ; PREDICTION ; PETROLEUM ; RATIOS ; RADAR ; METAL |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000313682700078 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| 资助机构 | National Key Technology R&D Program of China(National Key Technology R&D Program) |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/27805]  |
| 专题 | 中科院北方资源植物重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Bot, W China Subalpine Bot Garden, Key Lab Resource Plants,Beijing Bot Garden, Beijing, Peoples R China 3.Rimmington, Glyn M.] Wichita State Univ, Global Learning Coll Engn, Wichita, KS USA 4.Chinese Res Inst Environm Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Linhai,Zhao, Xuechun,Lai, Liming,et al. Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China[J]. PLOS ONE,2013,8(1). |
| APA | Zhu, Linhai.,Zhao, Xuechun.,Lai, Liming.,Wang, Jianjian.,Jiang, Lianhe.,...&Rimmington, Glyn M..(2013).Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China.PLOS ONE,8(1). |
| MLA | Zhu, Linhai,et al."Soil TPH Concentration Estimation Using Vegetation Indices in an Oil Polluted Area of Eastern China".PLOS ONE 8.1(2013). |
入库方式： OAI收割
来源：植物研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。