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In this work, a novel nitrogenous Fe-TPPE metal-organic-framework (MOF) with excellent visible light catalytic activity was successfully prepared, and a magnetic composite (Fe 3 O 4 @Fe-TPPE) with Z-type heterojunction structure was designed to synergistically treat organic pollutants and Cr(Ⅵ). The materials were carefully characterized by powder X-ray diffractometry, scanning electron microscope, Fourier transform infrared analysis, UV–visible diffuse reflectance spectra, X-ray photoelectron spectroscopy, thermogravimetric analysis, etc. The characterizations of photoelectric properties showed that the novel Fe-TPPE MOF exhibited strong response to visible light and Fe 3 O 4 @Fe-TPPE had even stronger response. Furthermore, the adsorption and photocatalytic degradation capabilities of Fe-TPPE and Fe 3 O 4 @Fe-TPPE, and the versatility as photocatalysts for aqueous pollutants were assessed through removal studies of the model pollutants tetracycline, rhodamine, methyl blue and Cr (VI). Additionally, the removal mechanism of the Fe 3 O 4 @Fe-TPPE for the above pollutants was explored. The high removal efficiency, fast magnetic separation, great recycling stability and minimal leak during application all demonstrate the good potential of Fe 3 O 4 @Fe-TPPE for practical and sustainable treatment of aqueous pollutants. [Display omitted] • A novel Fe-TPPE MOF is prepared using polynitrogen conjugated molecules as ligands. • A novel Fe 3 O 4 @Fe-TPPE composite with slice-ball intercalation structure is prepared. • Fe 3 O 4 @Fe-TPPE has excellent visible light catalytic performance and stability. • Fe 3 O 4 @Fe-TPPE has good reusability, applicability and environmental friendliness. [ABSTRACT FROM AUTHOR]

Estimation of the ecological and environmental damage is viewed as an essential tool for effective decision-making in ecological restoration, especially involving high-intensity coal mining and high ecological vulnerability on the Loess Plateau, China. Using the Datong mining area on the Loess Plateau as a case study, we propose an integrated spatial estimation based on surface subsidence prediction, geographic information system, and field survey. The implications for regional ecological restoration are analyzed. Based on this inspection, the magnitude of ecological and environmental damage depended on a combination of risk factors, other than a single factor or evaluation target. Still, the geological hazard was the primary impact factor, especially surface subsidence as a result of underground mining. The results suggest that areas of severe, moderate, and slight damage accounted for 9.87%, 80.09%, and 10.04%, respectively. The methodology used was effective in determining the ecological and environmental damage that is consistent with the spatial distribution of subsidence. The proposed integrated estimation provides targeted measures for active, progressive, and passive interventions to improve and renovate the post-reclamation mining ecosystem and ensure sustainable planning in underground mining areas. • Introducing a hierarchical structure of ecological and environmental damage assessment in a mining area. • Summarizing the ecological and environmental characteristics triggered by underground mining activities. • Estimating ecological and environmental damages via subsidence prediction, geographic information system, and field survey. • Providing targeted measures for active, progressive, and passive interventions to improve and renovate the mining ecosystem. [ABSTRACT FROM AUTHOR]

Environmental sustainability is a mandatory consideration for Carbon Capture and Storage (CCS) project, thereby making environmental monitoring more essential. This paper aims at demonstrating the feasibility and superiority of Synthetic Aperture Radar (SAR) technique for environmental monitoring of enhanced oil recovery (EOR) project. Surface deformation and topsoil moisture are considered as the monitoring factors due to their importance to the public security and sustainability. Taking Jingbian CO 2 -EOR project as a case study, Interferometric SAR (InSAR) and Advanced Integral Equation Model (AIEM) were used for spatial estimates of surface deformation and topsoil moisture from Sentinel-1A images. The results showed that the distribution of surface deformation and topsoil moisture both manifested as spatial heterogeneity. No significantly regular uplift or subsidence trend was observed within the storage fields. The average deformation velocity of 5.63 mm yr−1 from 537 measuring points was probably determined by the trade-off between soil erosion and eolian dust deposit. Topsoil moisture was observed to associate with natural conditions, and its spatial distribution was mainly ruled by topographic factors. Areas with soil moisture below 20% covered about 3.98 km2, totally accounting for 77.14%. Areas with soil moisture over 20% were mostly distributed in the gully regions. In conclusion, currently, there was no large deformation trend or abnormal topsoil moisture distribution as public concerns, but long-term monitoring program is still needed for ensuring environmental sustainability. This study demonstrates that SAR technique can improve the spatial knowledge of surface deformation and topsoil moisture, which is useful for sustainability assessment of operating CO 2 -EOR project. • Spatial distribution of surface deformation and topsoil moisture were estimated using SAR images. • No significant feature was found out to illustrate CO 2 -EOR project had disturbance to local environment currently. • To date, spatial estimates of surface deformation and topsoil moisture could be mainly caused by natural conditions. • SAR technique is an effective and useful tool for environmental monitoring at a regional scale. [ABSTRACT FROM AUTHOR]