Fashion industry is a significant contributor to climate change and responsible for over 60% of total textile usage.This necessitates closing the loop of supply chain while paying attention to responsible manufacturing and also waste management which are totally called circularity.Implementing an omnichannel policy that provides products and services through all sales channels and devices in a synchronized manner is seen to support circularity by promoting material and energy reuse.To assist decision-makers in circular transition, factors influencing omnichannel strategy efficiency were initially determined through literature review and finalized by experts' opinions from different retail countries (Brazil, Iran, Spain, etc.).Relationships of these factors were analyzed using the DEMATEL technique and evaluated by system dynamic approach and use of Iranian fashion industry data.As such, this study offers a comprehensive dynamic model applicable to all enterprises by introducing a novel framework for integrating omnichannel strategies into the fashion industry.The model encompasses customer value, demand status, service quality, brand appeal, profitability, consumer engagement, satisfaction, sales channels, and supplier interactions.Results indicate that implementing policies and orchestration distribution system with promotion levels can enhance supply chain efficiency.Optimized omnichannel strategy which emphasizes the use of innovative technology and online sales channel could make supply chain integrated and more efficient as such.Experts emphasize the importance of service customization, allowing users to return products through different channels.This enhances consumer experiences.

Water environment exerts comprehensive effect on urban ecological environment, especially the old residential areas built earlier in the city, aging facilities, and incomplete functions, whose renewal and quality are related to people's livelihood and environmental improvement.Due to the wide distribution, high density and high demolition cost, plus backward water management facilities, old communities in mountainous cities have poor ability to cope with floods, lacking a complete set of optimization simulation system coupled with gray, green and blue that combines hydrological and hydraulic power of rainwater system.Therefore, this paper takes the old community in Chongqing Yuzhong District --the Shangdatianwan Central Community as the research plot.Based on GIS hydrological analysis, InfoWorks ICM was adopted to conduct a systematic analysis on the hydrological and hydraulic retrofit of the rainwater system.The results show that pipe network, 1D and 2D confluence parameters and the setting of SUDS facilities can improve the surface and pipe network overflow.Hydrological retrofit plays an important role in reducing the annual runoff.Under heavy rainfall, hydrological and hydraulic retrofit is recommended to better control the surface and pipe network overflow.

Land use change is a complex process driven by a range of socio-economic and environmental factors.This study investigates the temporal and spatial dynamics of land use change in the Dongting Lake Region of China from 2000 to 2020.Using remote sensing data and advanced modeling techniques, including binary-logistic regression and cellular automaton (CA)-Markov models, the patterns and drivers of land use change in the region were analyzed.It was found that construction land expanded rapidly at the expense of agricultural land, while forest and grassland areas experienced moderate declines.These changes are primarily driven by topographic factors such as slope and elevation, as well as socio-economic factors such as population density and gross domestic product (GDP).Based on these findings, an optimized spatial configuration of land use, derived through an overlay analysis, was obtained under the ecological security framework.This configuration was informed by the simulation results of land use under the CA-Markov model and the optimized zoning results formed by the minimum cumulative resistance (MCR) model.This study projects future land use patterns in the region up to 2035 and identifies key areas for ecological conservation and sustainable land management.The results of this study provide valuable insights for policymakers and planners seeking to balance economic development with environmental protection in this important region.

As industries continue to release pollutants into the environment, the preservation of the environment has become a crucial concern.Among these pollutants, dye pollutants are particularly dangerous because they degrade slowly and pose a threat to aquatic life.In this paper, the removal and degradation of two dangerous dye contaminants, Malachite Green (MG) and Congo red (CR), by g-C3N4 and its composites and derivatives, were investigated.The results have shown that these composites have effectively removed both CR and MG dye contaminants from aqueous media in almost all studies, with a high degradation rate of over 90%.Also, in all studies, composites and derivatives of g-C3N4 have been found to destroy these two dye pollutants more effectively than g-C3N4 alone.Finally, as a general outcome, g-C3N4 and its composites can be utilized on a large scale in the textile industry to eliminate dye contaminants and aid in preserving the environment for future generations.

The "greenization" of papermaking enterprise behavior is an important approach to transition towards to environmental protection and green development mode.Aiming at the problem that it is difficult to quantitatively evaluate the green behavior performance of papermaking enterprises, a new model of green behavior performance evaluation of papermaking enterprises is proposed based on rough set and cloud model theory.Firstly, the factors influencing the green behavior performance of papermaking enterprises are identified, and an evaluation index system for the green behavior of papermaking enterprises is established.Secondly, using rough set theory, the weight of each layer in the index system is determined.Subsequently, considering the fuzziness and uncertainty of index evaluation, the cloud model is employed to construct the performance evaluation model of green behavior of papermaking enterprises.The weights are combined with the evaluation model to finally calculate the performance level of green behavior of papermaking enterprises.Finally, a comprehensive evaluation is conducted, taking the green behavior performance of a papermaking enterprise as the research object.The results show that: (1) The green behavior performance level of the papermaking enterprise is in a good level, but there are pollution penalties caused by inadequate management in pollutant discharge management.In terms of energy structure, coal is the main source of energy, and a large amount of oxides are emitted.(2) The calculation results of the evaluation method are basically consistent with the actual situation.It can reflect the actual effect of the green behavior of the enterprise, and verify the reliability, rationality and effectiveness of the model.

Global economic uncertainty, energy security and climate change impact are imposing mounting pressures on public finances.Investments in major railways infrastructure projects are faced with new challenges to provide rigor business case to better inform investment decisions.This study tests deploying Fuzzy Sets Theory to address future uncertainties in the financial evaluation when appraising railways projects.The results reported: 1-the economic viability of railways projects is influenced by changes in investment costs, operations and maintenance costs, and revenues; reliance on innovative green technologies help reducing this influence, 2-the application of Fuzzy Sets Theory enable addressing uncertainty associated with investment decisions, 3stakeholders are likely to support investment in infrastructure projects that deploy green technology and innovative green processes.The study clearly identifies the fundamental relationship amongst uncertainty in estimations, green technology, and investment decisions.It further provides a new model for appraising railways projects, illustrating the applicability of this model on a case study.Policy makers are encouraged to create a shared-outcome funds for railways projects that leverage the use and development of environmentally friendly technologies.

Housefly larvae can bioconvert organic wastes to produce sustainable proteins.This study investigated the effect of the cooked oil as a part of kitchen waste on the growth of housefly larvae and the microbial community structure in the rearing residue.After adding 2% (W/W) oil to the substrate, housefly larvae exhibited the highest bioconversion (14.91%) and substrate consumption rate (40.82%), with the highest reduction rate of ~ 52.39% and ~ 70.46% for total organic carbon (TOC) and total nitrogen (TN), respectively.With the increase of oil concentration, the larval crude fat content and crude protein content showed an increase and decrease, respectively, coupled with a slight increase in the ratio of oleate acid (C18:1) and linoleate acid (C18:2) among fatty acids.Additionally, an increase and decrease were also found in the relative abundance of phylum Proteobacteria and Bacteroidota, respectively, with the presumable migration of most of the microbes from larval gut to residue, and the possible colonization of Helcococcus and Globicatella from the environment.

In this work, the influence of electrokinetic (EK) combined with activated carbon fiber (ACF) on the remediation of soil contaminated with cadmium (Cd) was investigated.The results clearly showed the effects of three different factors on the removal of Cd in soil were as follows: voltage gradient > anolyte type > electrode spacing.When citric acid/sodium citrate solution was acted as anolyte, electrode spacing was 31 cm, voltage gradient was 1 V/cm, and the treatment time was 400 hr, the total removal efficiencies of Cd was 62.82 %.The optimum adsorption capacity of ACF for Cd was 4.481mg.The unit energy consumption was only 3.094kWhg -1 .Citric acid/sodium citrate solution could increase current, electroosmotic flow (EOF) and conductivity.The cation exchange membrane prevented OH -from entering the soil and effectively controlled the soil pH within 9. Higher water content fostered the diffusion and migration of Cd, but the excessive water content would cause the accumulation of solution and decrease the removal rate of Cd.Additionally, the dissociation effect of acetic acid on Cd 2+ was lower than that of citric acid with more functional groups due to the fewer carboxyl functional group of acetic acid.Cd in the soil mainly existed in organic matterbound fraction and residue fraction after remediation.Phytotoxicity studies showed that the remediated soil had no potential harm to the environment.In summary, this study provides an effective basis for the remediation of Cd contaminated soil.

This paper aims to test the influence of environmental penalties on analyst recommendations from the perspective of negative environmental governance performance, and further tests the influence of environmental penalties on corporate environmental governance.We subdivide environmental penalties into two dimensions: environmental penalty frequency and environmental penalty intensity based on the breadth and depth of environmental penalties.Then we take listed firms in heavy pollution industries in China from 2015 to 2021 as research samples, and use OLS regression analysis to test the impact of environmental penalty frequency and environmental penalty intensity on analyst recommendations.We find that both environmental penalty frequency and environmental penalty degree are significantly and negatively correlated with analyst recommendations.The heterogeneity analysis finds that the negative impacts of corporate environmental penalties on analyst recommendations are mainly reflected in the group with larger firm size and the group with greater industry competition degree.Further analysis shows that both environmental penalty frequency and environmental penalty degree can promote corporate environmental governance.The results show that environmental penalties bring lower analyst recommendations and reputation loss to enterprises.Under the deterrent effect of environmental penalties and the negative impact of analyst recommendations, enterprises have the motivation to improve environmental governance.This paper finds that corporate negative environmental governance performance is truthfully embedded in analyst recommendation decisions, providing evidence for the mechanism and path for China's environmental governance system to play its role.These findings are conducive to providing new evidence for analysts to play the role of capital market information intermediary.This study expands the literature on the economic consequences of corporate environmental penalties and enriches the literature on the factors affecting analyst recommendations from the new perspective of corporate negative environmental performance.