Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making

Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide oversight of such schemes and to provide references for their compilation and review, this study evaluates land reclamation schemes in mining areas using a multi-attribute group decision-making method. First, linguistic intuitionistic fuzzy numbers are used to describe the evaluation information. Considering the authority and preferences of experts, methods for determining expert weights in four cases are established. Max–min deviation then determines the attribute weights, and a method for linguistic intuitionistic fuzzy group decision-making is proposed. Finally, the practicability of this method is verified through a comparative analysis of land reclamation schemes for four mining areas in Sichuan Province, China. The results show the proposed method to give simple and effective evaluation, making it reasonably applicable to the compilation and review of land reclamation schemes.

     

Constructing 3D magnetic flower-like Fe3O4@SiO2@Co3O4@BiOCl heterojunction photocatalyst for degrading rhodamine B

Environmental Science and Pollution Research - In this work, the 3D magnetic flower-like Fe3O4@SiO2@Co3O4@BiOCl heterojunction photocatalyst was successfully prepared. The combination of BiOCl with...     

Increasing collaboration between China and India in the environmental sciences to foster global sustainability

As the two largest countries by population, China and India have pervasive effects on the ecosphere. Because of their human population size and long international boundary, they share biodiversity and the threats to it, as well as crops, pests and diseases. We ranked the two countries on a variety of environmental challenges and solutions, illustrating quantitatively their environmental footprint and the parallels between them regarding the threats to their human populations and biodiversity. Yet we show that China and India continue to have few co-authorships in environmental publications, even as their major funding for scientific research has expanded. An agenda for collaboration between China and India can start with the shared Himalaya, linking the countries’ scientists and institutions. A broader agenda can then be framed around environmental challenges that have regional patterns. Coordinated and collaborative research has the potential to improve the two countries’ environmental performance, with implications for global sustainability.     

北京市黑臭水体治理的动态遥感监测及影响因素分析

为及时、准确掌握黑臭水体治理进展,基于“北京二号”影像数据和同期的野外综合水体实测数据,采用深度学习算法对黑臭水体进行识别,并引入地理探测器对黑臭水体影响因素进行定量分析。结果表明：基于Faster R-CNN算法的黑臭水体遥感识别,总准确率达到90%左右,短时间内(5~33 h)即可完成北京市建成区黑臭水体的筛查工作;在空间维度上,黑臭水体主要分布在中心城区以外,并在通州区、朝阳区和大兴区较为集中;在时间维度上,专项治理期间(2015—2018年)内,黑臭水体的数量和长度总体趋势都是递减的,但偶尔也有反黑现象;2018年底,在全市建成区范围内,已全面消除黑臭现象;在一年内,第1季度水体环境最好,第2季度次之,第3季度最差,从第4季度开始好转;在北京市大兴区,土壤全氮量(贡献率为32.07%)和周边养殖场排污(贡献率为27.04%)是黑臭水体形成的主要影响因素,高程(贡献率为8%)、土壤类型(贡献率为7.6%)和土地利用类型(贡献率为6.1%)的贡献率较弱。由此可以看出,基于Faster R-CNN算法识别影像中的黑臭水体识别准确率高,可及时、准确地监测城市黑臭水体治理情况,使用地理探测器可定量分析并确定各影响因素的贡献率。本研究成果可为城市黑臭水体的动态监测和治理提供有力的技术支撑。     

铯污染土壤的淋洗修复及淋洗液的回收

核电站事故造成的土壤放射性核素污染会给环境和人群造成极大的健康风险.通过批量实验,研究了不同淋洗剂对铯(Cs)污染土壤的淋洗效果及蒙脱石对其淋洗液的回收效果.结果表明:硫酸铵对土壤中Cs的淋洗效果最佳,当淋洗时间为120min、液固比为20:1时、老化140 d 土壤中Cs的去除率最大为40.0％;在未添加硫酸铵时,蒙...     

磺胺嘧啶对纯膜MBBR氨氧化性能及氨氧化菌群的影响

通过向NH₄⁺-N质量浓度为30 mg·L⁻¹的合成废水中投加不同剂量磺胺嘧啶(SDZ)(0、1、3、5、7和10 mg·L^–1),比较了SDZ浓度对一台60 L单级纯膜移动床生物膜反应器(pure MBBR)的氨氧化速率、amoA基因丰度和氨氧化细菌(AOB)种群结构的影响,揭示了磺胺嘧啶对纯膜MBBR系统中氨氧化作用的影响机制。结果表明：1~3 mg·L^–1的SDZ显著提升了纯膜MBBR系统的氨氧化速率(P<0.05),出水${\rm{NH}}_4^{+} $-N质量浓度可降低至(0.19±0.10) mg·L^–1;5~10 mg·L^–1的SDZ仍能促进${\rm{NH}}_4^{+} $-N去除,但氨氧化速率变化相对平缓。相比于氨氧化古菌(AOA),AOB为纯膜MBBR氨氧化的主导者,AOB amoA基因丰度是AOA amoA基因丰度的12.2~168.5倍。1~10 mg·L^–1的磺胺嘧啶暴露显著抑制了AOB amoA基因丰度(P<0.05),但能有效刺激AOA amoA基因丰度上调(P<0.05)。高通量测序结果表明,添加磺胺嘧啶改变了AOB的种群多样性及结构,且1~3 mg·L^–1的SDZ能显著促进AOB种群多样化和亚硝化螺菌属(Nitrosospira)生长(P<0.05)。SDZ对氮源的补充、对AOB与AOA丰度占比的改变、对微生物耐药性的促进以及对AOB种群结构的干扰是其影响纯膜MBBR氨氧化过程的主要机制。     

Effects of ambient temperature on outpatient visits for dermatitis in Xinxiang,China: a time-series analysis

Environmental Science and Pollution Research - Previous studies have reported regional variations in the relationship between ambient temperature and dermatitis, which therefore remain...     

The impact of environmental regulation on foreign firms’ exit: from the perspective of competition

Environmental Science and Pollution Research - Most of the existing studies on the pollution haven hypothesis focus on the foreign direct investment (FDI) inflow, ignoring the divestment of FDI and...     

Manganese-modified biochar for highly efficient sorption of cadmium

Environmental Science and Pollution Research - In this study, corn stalk was modified by manganese (Mn) before (MBC1) and after (MBC2) pyrolysis at different temperatures (400~600&nbsp;°C)...     

Does regional energy consumption disparities assist to control environmental degradation in OBOR: an entropy approach

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China’s nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO₂ emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO₂ emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.