Environmental Restoration Research Articles

An analytical case study of the oil well blowout at Baghjan oil field, Assam: A human and environmental perspective.

The study analyses the oil well blowout that took place at the Baghjan oil field in Assam, India, on 27 May 2020. This incident escalated into a massive fire on 9th June that lasted more than 5months. The tragedy degraded the environment and inflicted substantial problems on the area's inhabitants. The present study employs the analytical case study approach and various data sources to unfold the disaster and its causes, impact, and response. It also examines the local inhabitants and environmental impact and tries to analyze the event comprehensively. The incident resulted from technical malfunctions and human errors, leading to the relocation of the adjacent settlement to refugee camps amidst the global COVID-19 epidemic. However, it is essential to mention that many households received adequate compensation for their damages. The incident has resulted in the contamination of the air, noise, soil, and water, causing significant damage to the fragile ecosystem and its rare species. The research employs the Normalized Difference Vegetation Index to quantify changes in vegetation cover resulting from the blowout, thus showing the extensive damage to the affected region. The incident shed light on legal and regulatory deficiencies alongside a lack of accountability and transparency within the Oil India Limited sector. Despite the numerous proposals for environmental restoration, it appears challenging to revert to the previous state swiftly. The present study reflects the collective and collaborative action to protect and preserve the environment.

ENVIRONMENTAL SITUATION AS A FACTOR IN ENSURING THE ECONOMIC SECURITY OF THE REGION (similar to the Volga federal district)

The article presents the results of a study of the impact of environmental safety on the economic security of the region. The economy of a country and its regions is inextricably linked to the state and functioning of its elements, including the environmental situation. This factor has an impacton the resource supply of production, life expectancy and working capacity of the population, aswell as on trade opportunities in both domestic and foreign markets. Without ensuring environmental safety, it is impossible to ensure the safety of economic processes. Assessment of regional environmental safety is currently an urgent area of research, since many regions of Russia are characterized by a high proportion of industrial production, high anthropogenic load and the presence of environmental problems that can negatively affect the economic security of the region. The article presents the results of an assessment of the environmental safety of the regions of the Volga Federal District using various methods. The authors analyzed the state of environmental safety of the regionson the basis of a number of indicators outlined in the Strategy of Environmental Safety of Russia. The results of the evaluation using the indicative method are presented. In addition, a cluster analysis was carried out over several years, which, based on official statistical data, allowed the formation of groups of regions according to the level of environmental safety. The authors identified the following are as for neutralizing threats to environmental safety: improvement of legislation in the field of environmental safety; development and implementation of new technologies that will be more environmentally friendly; creation of programs for environmental cleanup and restoration of natural resources; strengthening control over compliance with environmental norms and standards. The identification of the interrelationships between environmental and economic security will allow us to develop effective strategies to ensure the sustainable development of the region, reduce the negative impacton the environment and increase the level of environmental safety.

Impacts of ecosystem service message framing and dynamic social norms on public support for tropical forest restoration.

The effectiveness of strategic psychology-based marketing techniques for increasing public support for conservation is poorly understood. We assessed how such techniques affect support for tropical rainforest restoration with a controlled online experiment with 1166 nationally representative residents of the United Kingdom. We tested whether support increased when adding ecosystem service (ES) framings to typical nongovernmental organizations' (NGOs) biodiversity-focused messages that emphasize benefits to UK residents or people living near the tropical restoration site and a dynamic social norm nudge that emphasized increasing popularity of environmental restoration. We considered how respondents' psychological traits (nature connection, self-efficacy, psychological benefits of supporting charities, awareness of environmental degradation in the Global South, and climate change skepticism) influenced responses. Outcomes included respondents' reported advertisement sufficiency, sympathetic attitudes, behavioral support, and financial support. The study population typically found advertisements sufficient and exhibited sympathetic attitudes and financial, but not behavioral, support. Younger people exhibited greater conservation support than older respondents. Messages framed solely on biodiversity conservation were as effective as those highlighting additional ES benefits received by UK residents and people near the tropical restoration site. This suggests that framing around ESs, rather than nature's intrinsic value, may not strengthen public support for conservation. The dynamic social norm nudge had perverse effects. It reduced perceived social norms and most outcome variables. Alternative dynamic norm nudges warrant testing, but our results support research suggesting dynamic norm nudges can be ineffective when associated with activism, challenging their use by conservation NGOs. Psychological benefits of supporting charities and perceived self-efficacy increased support for advertisements, highlighting the benefits of including impact statements relating respondents' support to specific outcomes. Climate change skepticism decreased support, whereas nature connection and perceived static social norms increased it, highlighting the need to increase nature connection and pro-environmental social norms to elevate public support for conservation.

Remote sensing insights into land cover dynamics and socio-economic Drivers: The case of Mtendeli refugee camp, Tanzania (2016–2022)

The purpose of this article is to present the scope and the dynamics of the environmental changes unfolded in the vicinity of Mtendeli refugee camp. It presents a new method, which combines geospatial analysis of high-resolution Earth observation data (Sentinel-1&2) with ground-based observations and input from local experts. Time series classifications of annual land use/land cover in the surroundings of the camp is developed from remote data. Subsequently main transitions and trends are quantitatively achieved. This is a first study which, not only treats the land transition process in a comprehensive manner, but also tracks the changes and their main drivers on an annual scale over the lifetime of the camp (2016–2021) and the post-closure situation in 2022. Most importantly, thanks to the involvement of social studies, it unfolds the socio-economical drivers of those changes. Drawing upon a random forest algorithm and available databases, we achieve overall classification accuracies of 83.5% (2020) and 82.0% (2022). Our findings indicate an ongoing expansion of cropland between 2016 and 2021, to the detriment of natural vegetation classes. The impact of environmental restoration programs implemented in the former camp area is visible by 2022. The proposed method can be used to identify areas of environmental risk and thus support decisions linked with sustainable development and land management.

Regenerating and Developing a National Botanical Garden (NBG) in Khartoum, Sudan: Effect on Urban Landscape and Environmental Sustainability

This research focuses on the National Botanic Garden in Khartoum, Sudan, proposing tools and methods to assess botanical garden quality from multiple perspectives. It explores the related concepts between national botanical gardens and landscapes, regeneration landscapes and their components such as botanical gardens, their effects on urban regeneration in cities, urban environments, and environmental sustainability. This study aims to: regenerate and develop a National Botanical Garden in the Almogran area of Khartoum, Sudan, and highlight the importance of establishing a national botanical garden for each climatic region in Sudan. The study used questionnaires to identify the necessary needs for regeneration, and the opinions of employees of the Ministry of Agriculture and Forestry were surveyed about the purposes of: (1) evaluating the garden’s total area and interior design; (2) building regeneration; (3) establishing constructions, such as a library, seed gene bank, tissue culture laboratory, etc.; (4) emphasizing the need for modern technology to enhance quality. The study summarizes five regeneration technology methods: environmental plant restoration, water body restoration, building and facility restoration, reconstruction technology, and resource utilization; (5) botanical gardens were proposed for each climatic region in Sudan, and we studied the effects of establishing a botanical garden for each climate region in Sudan on environmental resilience, the effect of the botanical gardens’ regeneration on gardens within the cities, and effect of a national botanical garden on the urban landscape and environmental sustainability. These findings suggest that the comprehensive regeneration of the National Botanical Garden, integrating it with the urban regeneration of cities, especially urban greening regeneration, is important for enhancing urban landscapes, enhancing environmental resilience, environmental sustainability, climate change, and achieving land development goals, thus helping to address actual requirements and develop sustainable cities.

Research on the Expression of Naturalistic Style in the Landscape Design of Xuzhou Abandoned Mine Park

In recent years, more and more mines have been left idle, and the formed mine wasteland has become a visual pollution of the urban landscape, and the study of landscape design of mine parks has become a focal topic. To address this issue, the sample of this study was selected from Xuzhou Anran Mountain Quarry Abandoned Quarry, to enhance the ecological environment and landscape value of the site through the sample's naturalistic style design and performance. The goal of the study is to explore the innovative design and performance of naturalistic style in the landscape of Xuzhou abandoned quarry park. Methods of this study: observation forms, questionnaires and interview forms, relevant cases and other research methods were used to analyse the overview of mine transformation in China, the landscape characteristics, ecological status and problems of Xuzhou mine wasteland. The design strategy of naturalistic style in the landscape of Xuzhou mine park is proposed.The results of the study show that (1) mine rehabilitation. China's big cities have more mine rehabilitation, and the proportion of cases in small cities is relatively small. (2) Characteristic aspects. Abandoned mines in Xuzhou are characterised by serious ecological damage and chaotic and dilapidated site landscapes. (3) Design strategy. It should be carried out from the ecological restoration and management of the site environment, the aesthetic expression of naturalistic landscape, and the use of natural elements and natural materials. In addition, through the in-depth analysis of the sample landscape design, the originally desolate abandoned mine was transformed into a naturalistic style landscape space, adopting ecological and cultural strategies. The results of the study contribute to the ecological and economic development of the region, and also provide theoretical and practical guidance for the rehabilitation of other mines in China.

Identifying the Characteristics and Implications of Post-Earthquake Debris Flow Events Based on Multi-Source Remote Sensing Images

Strong earthquakes often bring amounts of loose material, disrupting the balance of material transportation within a watershed and severely impacting the restoration of the ecological environment and human safety downstream. Therefore, it is crucial to identify the frequency and scale of these debris flow events, as well as to explore their long-term development and impact on internal and external channels. Using multi-source remote sensing images from four perspectives, hillslope, channel, accumulation fan, and their relationship with the mainstream, we reconstructed a debris flow event dataset from 2008 to 2020, explored a method for identifying these events, and analyzed their impacts on channels and accumulation fans in Mozi Gully affected by the Wenchuan earthquake. Loose matter was predominantly found in areas proximate to the channel and at lower elevations during debris flow events. Alterations in channel width, accumulation fans downstream, and their potential to obstruct rivers proved to be vital for identifying the large scale of debris flow event. Finally, we encapsulated the evolution patterns and constraints of post-earthquake debris flows. Determination in frequency and scale could offer valuable supplementary data for scenario hypothesis parameters in post-earthquake disaster engineering prevention and control.

Employment and Energy

At the Global Business Forum in Goa in October 2015, Dr. Romesh Wadhwani highlighted a significant gap in India's economic strategy: while GDP growth surged by 54% in recent years, employment in the organized sector grew by a mere 3%. Projecting into the future, he warned that even a 100% increase in GDP might only yield a 6% rise in employment, emphasizing the need for a focus on creating meaningful job opportunities to prevent social instability and enhance well-being. Dr. Wadhwani proposed several solutions, including expanding vocational training, restructuring education to include vocational streams from high school, and fostering self-employment and entrepreneurship. However, an examination of India's current skill development policies reveals a lack of focus on labor mobility and the impact of automation and energy consumption on job creation. The historical relationship between GDP growth and energy use shows that increased industrial productivity often comes at the expense of job creation due to heightened automation and energy consumption. This trend, combined with the environmental impact of fossil fuel reliance, underscores the limitations of the current growth model. To address these issues, this paper suggests shifting towards a "restoration economy" model. By focusing on low-energy, high-employment jobs in environmental and ecosystem restoration, India can create significant employment opportunities while also contributing to ecological sustainability. Investing in restoration projects and leveraging existing funding programs, such as MG-NREGA, can provide a dual benefit: addressing employment challenges and rebuilding degraded environments. This approach offers a more balanced and sustainable path forward for India's economic and social development

Nano silica-mediated stabilization of heavy metals in contaminated soils

Soil contamination with heavy metals presents a substantial environmental peril, necessitating the exploration of innovative remediation approaches. This research aimed to investigate the efficiency of nano-silica in stabilizing heavy metals in a calcareous heavy metal-contaminated soil. The soil was treated with five nano-silica levels of 0, 100, 200, 500, and 1000 mg/kg and incubated for two months. The results showed that nano-silica had a specific surface area of 179.68 m2/g\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\ ext{m}}^{2}/\ ext{g}$$\\end{document}. At 1000 mg/kg, the DTPA-extractable concentrations of Pb, Zn, Cu, Ni, and Cr decreased by 12%, 11%, 11.6%, 10%, and 9.5% compared to the controls, respectively. Additionally, as the nano-silica application rate increased, both soil pH and specific surface area increased. The augmentation of nano-silica adsorbent in the soil led to a decline in the exchangeable (EX) and carbonate-bound fractions of Pb, Cu, Zn, Ni, and Cr, while the distribution of heavy metals in fractions bonded with Fe–Mn oxides, organic matter, and residue increased. The use of 1000 mg/kg nano-silica resulted in an 8.0% reduction in EX Pb, 4.5% in EX Cu, 7.3% in EX Zn, 7.1% in EX Ni, and 7.9% in EX Cr compared to the control treatment. Overall, our study highlights the potential of nano silica as a promising remediation strategy for addressing heavy metal pollution in contaminated soils, offering sustainable solutions for environmental restoration and ecosystem protection.

Long-Term Monitoring and Analysis of Key Driving Factors in Environmental Quality: A Case Study of Fujian Province

Ecological environment quality reflects the overall condition and health of the environment. Analyzing the spatiotemporal dynamics and driving factors of ecological environment quality across large regions is crucial for environmental protection and policy-making. This study utilized the Google Earth Engine (GEE) platform to efficiently process large-scale remote sensing data and construct a multi-scale Remote Sensing Ecological Index (RSEI) based on Landsat and Sentinel data. This approach overcomes the limitations of traditional single-scale analyses, enabling a comprehensive assessment of ecological environment quality changes across provincial, municipal, and county levels in Fujian Province. Through the Mann–Kendall mutation test and Sen + Mann–Kendall trend analysis, the study identified significant change points in the RSEI for Fujian Province and revealed the temporal dynamics of ecological quality from 1987 to 2023. Additionally, Moran’s I statistic and Geodetector were employed to explore the spatial correlation and driving factors of ecological quality, with a particular focus on the complex interactions between natural factors. The results indicated that: (1) the integration of Landsat and Sentinel data significantly improved the accuracy of RSEI construction; (2) the RSEI showed a consistent upward trend across different scales, validating the effectiveness of the multi-scale analysis approach; (3) the ecological environment quality in Fujian Province experienced significant changes over the past 37 years, showing a trend of initial decline followed by recovery; (4) Moran’s I analysis demonstrated strong spatial clustering of ecological environment quality in Fujian Province, closely linked to human activities; and (5) the interaction between topography and natural factors had a significant impact on the spatial patterns of RSEI, especially in areas with complex terrain. This study not only provides new insights into the dynamic changes in ecological environment quality in Fujian Province over the past 37 years, but also offers a scientific basis for future environmental restoration and management strategies in coastal areas. By leveraging the efficient data processing capabilities of the GEE platform and constructing multi-scale RSEIs, this study significantly enhances the precision and depth of ecological quality assessment, providing robust technical support for long-term monitoring and policy-making in complex ecosystems.

A robust aerogel incorporated with phthalocyanine-based porous organic polymers for highly efficient gold extraction

The gold recovery from electronic waste liquid is of great significance to the recycling of precious metals and environmental restoration. Adsorption method is the preferred technique for gold recovery, but its expansion and application prospects were often limited by the workability and recyclability of common solid powder adsorbents. Herein, a solid absorbent powder (phthalocyanine-based POP, TD-POP) was integrated into chitosan/polyethyleneimine aerogel (TD-POP@CS/PEI-2) via a facile cross-linking and lyophilization strategy. As expected, TD-POP@CS/PEI-2 possessed outstanding mechanical toughness and stability, demonstrating efficient and specific adsorption for Au (III). The maximum adsorption capacity was 2169 mg g−1, higher than most of the absorbents. TD-POP@CS/PEI-2 aerogel also exhibited fast kinetics (recovery efficiency of 81.3 % within 3 h), good selectivity (recovery efficiency of 98.35 % at 10 times concentration of Al3+, Zn2+, Cu2+ Cd2+, Co2+, Ni2+, Mn2+, and Cr6+ than Au ions) and reusability (eight times). Multiple characterizations revealed the adsorption mechanism, which implied that the excellent adsorption properties of the aerogel were ascribed to the electrostatic attraction between cationic aerogel and AuCl4− anion, coordination interaction between nitrogen-containing active sites and Au (III), and reduction of Au (III) by TD-POP@CS/PEI-2 aerogel. This work provides a valuable and promising strategy to design scalable and sustainable adsorbents for capture precious metals, also promotes the development of integral adsorbent for environmental remediation.

Exploring the potentials of urban crop farming and the question of environmental sustainability

As part of efforts to promote urban green spaces in increasingly urbanized cities of Africa, urban crop farming (UCF) has become a necessary pillar of urban environmental sustainability. Beyond the primary functions of food security and employment, UCF contributes to greening the urban environment and provides valuable options for urban regeneration within the broad components of environmental, social, and economic sustainability. We draw on interviews and focus group discussions in Tamale, a rapidly urbanizing Ghanaian metropolis, to examine the potential of UCF and the question of urban environmental sustainability. Our findings revealed the tremendous contributions of UCF to the provision of greenery, beautiful scenery, healthy spaces, socio-economic inclusion, and environmental restoration. We argue that reflecting and incorporating these findings in policy will be helpful for urban landscape planning and management.

First Report of Colletotrichum queenslandicum Causing Leaf Anthracnose on Jatropha curcas L in China.

Jatropha curcas L. (Euphorbiaceae), is a valuable multi-purpose crop, previously used for disease treatment and environmental restoration, recently is attention to use jatropha oil for produce biodiese. In June 2023, the leaf disease of approximately 60% of J. curcas was observed in Mazhang, Zhanjiang, Guangdong Province (E110°27'26.8'' N22°6'14.7''). Diseased leaves showed typical anthracnose symptoms of chlorotic regions with brownish sunken necrotic lesions (Figure 1). Sections from the junction of disease were surface disinfected in 75% ethanol and 3% hydrogen peroxide solution for 1 minute each. Four small pieces of infected tissue were removed from the lesion and placed on potato dextrose agar (PDA), and incubated at 25 to 28℃ in the dark. Hyphal tips from the inoculated tissues were subcultured on PDA and two isolates were purified by single spore method. The colonies on PDA were 7.8 cm diam after 10 d at 25 to 28 ℃, covered with dense, cottony, grayish-white aerial mycelium and small dark-based acervuli with orange ooze and dark brown straight setae. Conidia were hyaline, smooth-walled, aseptate, the apex and base rounded, slightly constricted near centre, 12.9 - 13.8 × 3.9 - 4.6 um (av.13.6 × 4.3 μm, n = 50). Appressoria were variable in shape, mostly simple, subglobose or irregular lobes, 5.8-9.6 × 5.7-11.2 um (Figure 2). Perithecia were not observed. These characteristics were consistent with Colletotrichum sp. (Weir, B. S., et al. 2012). Sequences of isolates ACCC 35630 and ACCC 35631 stored in Agricultural Culture Collection of China including internal transcribed spacer (ITS), actin (ACT), beta-tubulin (tub2), glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and chitin synthase (chs). were amplified (Weir et al, 2012), sequenced and submitted to GenBank (ITS: PP474979 and PP474984; ACT: PP505487 and PP505488; TUB: PP505493 and PP505494; GAPDH: PP505491 and PP505492; CHS: PP505489 and PP505490). The amplicon sizes of ITS, ACT, TUB, GAPDH, and CHS were 550, 652, 500, 264, and 301 bp, respectively. Phylogenetic analyses showed that Isolates 35630 & 35631 were clustered closely association with RHCOL1 and RHCOL3. Phylogenetic analysis with MEGA 7 using the combined ITS-ACT-CHS-GAPDH-TUB2 sequences showed that the two isolates clustered with C. queenslandicum (Figure 3). To test the pathogenicity, ten healthy leaves on plants in the field were wiped with 75% alcohol and sterile water, punctured with a sterile needle and inoculated by adding 10 uL of spore suspension (1 × 105 conidia/ml) to the wounded sites. And two other leaves were added sterile water as controls. Symptoms of anthracnose were observed on leaves similar to the disease described above after 7 days of inoculation, whereas the leaves from the controls remained asymptomatic. C. queenslandicum was reisolated from the inoculated leaves. C. queenslandicum has been reported as a pathogen causing leaf and fruit anthracnose on papaya, coffee, rambutan, avocado and Persian lime etc. in tropical and temperate regions (Kunta, M., et al. 2018), and this is the first report on J. curcas in China as well as worldwide. This disease may have a significant negative impact on J. curcas cultivation.

Natural restoration of arsenic-contaminated environment with Quercus robur L. and Tilia cordata Mill.: 5-Year longitudinal study of dendroremediation dynamics

Investigating natural processes in arsenic (As) polluted areas and plants that have naturally chosen to grow there pose practical restoration recommendations. This study aimed to assess long-term changes in natural As dendroremediation dynamics for Quercus robur L. and Tilia cordata Mill., tree species capable of growing in areas polluted by mining activities. We examined total As and its forms, as well as B, Ca, K, Mg, Na and P, in soil and trees over 5 years. We also characterized pH and EC of soil, examined proline content in tree organs, and calculated Bioconcentration Factor (BCF) and Translocation Factor (TF) for As.Initial As concentrations in soil were 37.0 mg kg⁻1 under Q. robur and 34.7 mg kg⁻1 under T. cordata, significantly decreasing after 5 years to 10.5 mg kg⁻1 and 9.51 mg kg⁻1, respectively. This corresponds to pollution reduction of up to 71.8%. A notable decrease in As(III) and dimethylarsinic acid, along with increase in other organic As forms in soil, was observed. Additionally, concentrations of essential elements in soil, as well as its pH and EC, decreased over time.Both tree species accumulated substantial amounts of As in their organs, but the dynamics of this process were species-specific. During first 4 years, T. cordata accumulated more As and exhibited higher BCF, but in the 5th year, it was clearly surpassed by Q. robur. The highest TF was calculated for Q. robur in year 3, and for T. cordata in years 2 and 3. Generally, limited aboveground movement of As was indicated: BCF >1 were calculated for years 2 and 3, while TF were consistently <1. Proline content increased significantly in all organs, correlating with As, especially in Q. robur. In contrast, Q. robur leaves mapping revealed stable macroelement distributions, but clear variations were observed for T. cordata., which may suggest specific reaction to stress.These findings suggest that both species can effectively restore As-polluted areas, though with different dynamics. The selection of species for dendrorestoration should be based on whether the goal is faster remediation with lesser overall reduction (e.g. T. cordata) or slower remediation with ultimately greater pollution reduction (e.g. Q. robur).

Use of an Adaptive-Vegetation Model to Restore Degraded Tropical Peat Swamp Forest to Support Climate Resilience

Climate change poses significant challenges to ecosystems globally, demanding innovative methods for environmental conservation and restoration. Restoration initiatives require significant amounts of appropriate vegetation that is both adaptive and tolerant to the specific environmental factors. This study introduces an adaptive-vegetation model designed to support ecosystem resilience in the face of climate change. Traditional restoration methods often neglect dynamic environmental conditions and ecosystem interactions, but the model employs real-time data and predictive analytics to adapt strategies to evolving climate variables. The model takes a comprehensive approach, incorporating climate projections, soil health metrics, species adaptability, and hydrological patterns to inform restoration practices. By using a mix of adaptable native species, the model promotes biodiversity. In conclusion, according to the findings of our review, paludiculture and agroforestry could be implemented as models for improving climate resilience, particularly in tropical degraded peat swamp forests. These two models could improve the environment, the economy, and social functions. Finally, improving all three of these factors improves ecological stability. This adaptive-vegetation model represents a significant shift from static, uniform restoration approaches to dynamic, data-driven strategies tailored to specific environments. The future research directions underscore the need for ongoing innovation in conservation practices to safeguard ecosystems amid unprecedented environmental changes. Future efforts will focus on enhancing the model with advanced machine learning techniques and expanding its application to additional ecological contexts.

The Impact of Visual, Thermal, and Acoustic Environments in Urban Public Spaces in Cold Regions on the Psychological Restoration of the Elderly

Optimizing the visual, thermal, and acoustic environments of urban public spaces in severely cold regions can significantly enhance the psychological restoration of the elderly, addressing the increasing mental health demands in an aging society. Despite its importance, the mechanisms, strategies, and seasonal effects of various environmental variables on psychological restoration remain inadequately studied. This research uses Harbin as a case study, employing field surveys and tests to systematically examine the elderly’s psychological restoration across different seasons. By integrating environmental stimulus variables with a psychological restoration evaluation model, the study investigates the impact of urban public spaces on mental health. The key findings are: (1) The spring environment of urban public spaces has the most significant positive effect on psychological restoration, with an effect size of η2 = 0.360. (2) A significant correlation exists between environmental variables and psychological restoration year-round, with the panoramic green view index in winter showing the highest positive impact (correlation coefficient = 0.301, p &lt; 0.01). (3) The influence of environmental stimulus variables on psychological restoration varies notably across seasons; the acoustic environment in spring contributes most significantly, with an R2 = 17.03%, while visual factors dominate in winter and summer. (4) Conditional probability analysis reveals the effects of various environmental variables on psychological restoration, proposing season-specific environment optimization strategies. Based on these findings, the paper presents a model for optimizing urban public space environments in severely cold regions, aiming to maximize elderly psychological restoration by tailoring environmental stimulus variables to their mental health needs.

Novel sustainable porous organic polymer for multifunctional water treatment: Adsorption and disinfection applications

The removal of dyes and bacteria from wastewater is crucial for environmental remediation and public health protection. The discharge of untreated wastewater containing dyes and bacteria can lead to water pollution, ecosystem disruption, and human health risks. In this context, we report the development of a sustainable gallic acid-based porous organic polymer (GA-azo-DADPM POP) for multifunctional water treatment applications. The polymer was characterized using 13C CP/MAS NMR, ATR-FTIR, SEM, and TEM, confirming its formation and revealing its agglomerate morphology, porous nature, and stacked sheet-like structure. The polymer exhibited a high BET surface area of 402 m2/g and a pore size distribution in the range of 2–20 nm, indicating its mesoporous nature. The adsorption studies demonstrated a maximum methylene blue dye removal capacity of 141.94 mg/g, while the antibacterial performance showed effective disinfection against E. coli. The adsorption studies followed the Freundlich isotherm and Pseudo second-order kinetic model. These results highlight the potential of GA-azo-DADPM POP for simultaneous dye removal and bacterial disinfection in wastewater treatment. In conclusion, this study demonstrates a novel, sustainable, and multifunctional material for water treatment, offering a promising solution for environmental restoration. The development of such materials can contribute significantly to the advancement of water treatment technologies, ensuring a safer and more sustainable future.

Fabrication of sulfur doped exfoliated gCN photocatalyst for enhanced visible light degradation of pernicious organic pollutants and their photocatalytic antibacterial activity

The synthesis of sulfur-doped exfoliated graphitic carbon nitride (S-gCN) photocatalyst was achieved by the implementation of a two-step calcination technique. The XRD results revealed that all the fabricated photocatalytic materials were crystalline in nature. The inclusion of 5% sulfur in gCN led to a conspicuous escalation in the surface area of photocatalyst, rising from 10.294 to 61.185 m2g⁻1. Morphological scrutiny of the samples using FE-SEM revealed that pristine gCN exhibited tightly stacked small nanosheets, whereas inclusion of sulfur and exfoliation resulted in generation of loosely distributed large nanosheet. Furthermore, the inclusion of sulfur also induced a shift in the energy band gap (Eg) from 2.81 eV to 2.63 eV, making it felicitous for investigation as proficient visible light photocatalyst. Additionally, the photoluminescence photo-induced charge carrier recombination behavior revealed a reduced peak intensity for 5% S-gCN compared to other synthesized compositions. This observation can be directly linked to the minimized electron-hole pairs recombination during photocatalysis, underscoring its superior photocatalytic performance. Our findings revealed that the 5% S-gCN photocatalyst exhibit the most promising attributes, it degraded Tetracycline drug, Chlorpyrifos pesticide and Eriochrome Black T dye under visible light irradiation almost ∼4 times more efficiently than pristine gCN. Additionally, exceptional visible light photocatalytic antibacterial efficacy was also perceived by 5% S-gCN against S. aureus bacteria. Overall, the present research sheds light on how doping and exfoliation interact to modify the structure and catalytic properties of gCN, paving the way for the development of outstanding performance, visible light-responsive efficient photocatalysts for environmental restoration.

Analysis of bacterial community structure, functional variation, and assembly mechanisms in multi-media habitats of lakes during the frozen period

Ice, water, and sediment represent three interconnected habitats in lake ecosystems, and bacteria are crucial for maintaining ecosystem equilibrium and elemental cycling across these habitats. However, the differential characteristics and driving mechanisms of bacterial community structures in the ice, water, and sediments of seasonally frozen lakes remain unclear. In this study, high-throughput sequencing technology was used to analyze and compare the structure, function, network characteristics, and assembly mechanisms of bacterial communities in the ice, water, and sediment of Wuliangsuhai, a typical cold region in Inner Mongolia. The results showed that the bacterial communities in the ice and water phases had similar diversity and composition, with Proteobacteria, Bacteroidota, Actinobacteria, Campilobacterota, and Cyanobacteria as dominant phyla. The bacterial communities in sediments displayed significant differences from ice and water, with Chloroflexi, Proteobacteria, Firmicutes, Desulfobacterota, and Acidobacteriota being the dominant phyla. Notably, the bacterial communities in water exhibited higher spatial variability in their distribution than those in ice and sediment. This study also revealed that during the frozen period, the bacterial community species in the ice, water, and sediment media were dominated by cooperative relationships. Community assembly was primarily influenced by stochastic processes, with dispersal limitation and drift identified as the two most significant factors within this process. However, heterogeneous selection also played a significant role in the community composition. Furthermore, functions related to nitrogen, phosphorus, sulfur, carbon, and hydrogen cycling vary among bacterial communities in ice, water, and sediment. These findings elucidate the intrinsic mechanisms driving variability in bacterial community structure and changes in water quality across different media phases (ice, water, and sediment) in cold-zone lakes during the freezing period, offering new insights for water environmental protection and ecological restoration efforts in such environments.

Exploring the Relationship between Key Perceptual Elements of Urban Secondary Wilderness and Its Restorative Benefits

Urban secondary wilderness (USWs) is a near-natural place in cities and is an important link to reconnect humans with the natural world. Assessing the perceptual elements of USWs not only provides insight into public perceptions and preferences, but also helps to further explore its relevance to experiential values such as environmental restoration benefits. In this study, we selected three USWs cases located in Fuzhou, the capital city of Fujian Province, China, and constructed an evaluation system containing two types of dimensions and seventeen perceptual elements. Based on the public’s evaluation of the importance of and satisfaction with the perceived elements, we extracted the key perceived elements and analyzed their relationship with environmental restoration benefits. The results indicated that all three USWs cases scored over 4.9 on the Perceived Restoration Scale (PRS). Plants, Landscape color, Water, Landform, Climate, Freedom, and Naturalness are the key perceptual elements of the USWs, and the correlation coefficients between the satisfaction with the above seven perceptual elements and the scores of the PRS were all positive. In summary, USWs is an ideal place for residents to carry out restoration activities, and its key perceptual elements play a driving role.