| Mining promoted the economic development,but also caused serious damages to the ecological environment.In order to realize the sustainable development of mining,ecological restoration is imperative.Phytoremediation is a promising choice for mining areas because of its cost-effective and environmentally compatible characteristics.Hyperspectral remote sensing technology can obtain the spectral information of plants and tailings in a high efficiency,non-destructive and real time manner.It provides technical support for evaluation of the effects of phytoremediation.The vanadium titanium magnetic tailings were used as the research object and alfalfa as the restoration plant,through screening the varieties of alfalfa suitable for tailings,analyzing the improvement effect of improver assisted alfalfa on tailings environment,studying the mechanism of the combination of alfalfa and arbuscular mycorrhizal fungi to restore tailings,estimating the main parameter information of plants and tailings through hyperspectral data modeling.The results showed that alfalfa of dryland,xinjiang big leaf and WL363 were suitable to grow on the experimental metal tailings as restore plants;1% and 3% corn biochar could effectively promote the growth of alfalfa on the tailings;inoculated with microbial agents and microbial and biochar could promote the growth and development of alfalfa;Hyperspectral remote sensing can estimate the content of chlorophyll and total nitrogen in alfalfa,and content of available nitrogen,phosphorus and organic matter in tailings.The determination coefficient R2 ranges from 0.25 to 0.85,and the root mean square error ranges from 0.07 to 5.06.Screening the dominant alfalfa varieties,applying corn biochar and inoculating arbatid mycorrhizal fungi can promote the colonization of alfalfa in tailings and improve the environment of the mining area.Hyperspectral remote sensing can retrieve the content of alfalfa physiological parameters and tailings physical and chemical parameters,which is of great significance to the evaluation of restoration effect in mining area.Figure 41;Table 12;Reference 98... |