Waste Dumps Research Articles

Gravimetric Characterization of Solid Waste in the Dump of the Municipality of Coari - Amazonas, Brazil

Objective: To estimate the gravimetric characterization of solid waste in the waste dump in the municipality of Coari, located in the state of Amazonas, in the region of the Middle Solimões, Brazil, and to evaluate the implications for sustainable management and management. Theoretical Reference: The main public policy bases related to solid waste treatment, from generation to final destination, were contextualized, as well as the scenarios regarding gravimetric composition, as well as the references to support a resolving horizon for materials of a recyclable nature. Method: This study addresses quantitative and qualitative analysis of the collected samples of solid waste destined to the landfill of the municipality of Coari - Amazonas, in accordance with the steps required by NBR 10.007/2004 and tabulation in Microsoft Excel. Results and conclusion: The results indicate that the majority is composed of organic material, followed by plastics and paper/cardboard, among other smaller fractions: glass, metals, wood, pointing to the need for the implementation of urgent recycling and composting practices, even if the municipality does not have an environmentally adequate destination. Implications of the research: In Brazil, even with the public policies already implanted, the great majority of the municipalities have not yet propitiated the extinction of their garbage dumps or have some irregular form as to the final destination of their solid residues. The gravimetric composition is one of the important tools for analyzing the composition of materials taken to the final destination, which is absent in many municipalities. Originality/value: Knowledge of the composition of the fractions of the solid waste generated is fundamental for guiding strategic actions and planning related to management and management, aligned with public policies that direct the practices of utilization from the generating source to the final destination, in order to avoid expansion or mitigate environmental impacts.

Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology

The most prominent source of drinking water is groundwater, followed by lakes and reservoirs. Hydrological parameters like temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity often change due to waste dumping into natural drinking water sources, particularly in densely populated areas. As a result, the water quality must be tested before public consumption to ensure healthy living in society. This research collected water samples from 129 wells in the Kanchipuram district in Tamil Nadu, India. An efficient integrated machine-learning-based prediction model has been proposed and modeled to determine the groundwater quality index (GQI). Several machine learning models were used to predict the water’s quality, including the naïve Bayes model, the KNN classifier, and the XGBoost classifier. Water quality predictions in 2024 were made using a combination of classification algorithms and models based on long short-term memory (LSTM) neural networks. The projected water quality characteristics were analyzed using geographical information system (GIS) technology to better understand and visualize the results. The XGBoost classifier model outperforms prior findings in the literature, with an accuracy of roughly 94.6%. The classification and prediction model was validated using collected and tested current data samples from a selected well. The findings were accurate within the 5% error range, promoting sustainability.

Comparative analysis of traditional and transfer learning algorithms for coal spoil classification via close-range imagery

ABSTRACT The characterisation of materials is a prerequisite for evaluating and predicting the stability of mining waste dumps. Over the past three decades, the BHP Mitsubishi Alliance Coal framework has been a cornerstone in Australian coal mines for characterising waste dump materials. However, its reliance on subjective human observations has introduced potential inaccuracies and subjectivity into the process. In response to these limitations, this study proposes an innovative approach to classify coal spoil attributes by remotely acquiring images through phones/tablets. Automated image-based classification relies on feature extraction and a substantial amount of data. Nevertheless, the inherent complexity of geological factors contributing to the formation of both rare and dominant materials leads to imbalanced data. Recognising the need for classification mechanisms to overcome these challenges in spoil classification, the study explores and compares the use of convolutional neural networks, hybrid deep learning, and traditional techniques. Among the sixteen models evaluated in this study, the ResNet18-support vector machine model emerges as a powerful tool in geotechnical characterisation. However, it is essential to address issues of interpretability and adaptability to diverse datasets. As this study evolves, the field of geotechnical characterisation of spoil can anticipate the development of more robust methods in the future.

Applying acoustic telemetry, vessel tracking and fisher knowledge to investigate and manage fisher-shark conflict at Lord Howe Island, Australia

Fisher-shark conflict is occurring at Lord Howe Island, Australia due to high levels of Galapagos shark (Carcharhinus galapagensis) depredation (where sharks consume hooked fish) and bycatch. Depredation causes costly loss of target catch and fishing gear and increased mortality of target species, and sharks can be injured or killed when bycaught. This study applied acoustic telemetry and vessel tracking from 2018 to 2021 to identify; (1) how the movements of 30 tagged sharks and activity of six fishing vessels overlapped, and (2) where key ‘hotspots’ of overlap occurred. Fisher surveys were also conducted to collect information about mitigating shark interactions. Residency index analysis indicated that three sharks tagged at a fish waste dumping site had markedly higher residency. Core home ranges of sharks overlapped with higher fishing activity at four ‘hotspots’. Statistical modelling indicated positive linear effects of fishing activity and bathymetric complexity on shark detections and tagged sharks were present for 13% of the total time that vessels were fishing close to acoustic receivers. Spatio-temporal overlaps between shark movements and fishing activity could potentially have occurred because sharks learned to associate fishing vessels with food (i.e. hooked fish) and because fishers and sharks utilise highly productive shelf edge areas, however more research is needed to investigate these relationships. Fishers reported that rotating fishing areas and reducing time at each location, fishing deeper than 100 m, and using electric reels and lures instead of bait, reduced bycatch and depredation. The integrated approach used here identified practical methods for reducing fisher-shark conflict, improving socio-economic outcomes for fishers and conservation prospects for this unique shark population.

Solid waste management in Ugandan developing cities: Material flow analysis and sustainable practices for reducing the global warming potential.

The introduction of appropriate solid waste management (SWM) strategies can foster the mitigation of waste open dumping and burning in low-income developing cities. In this work, the SWM system in Gulu (Uganda) has been studied, and a material flow analysis, also of informal flows of waste, has been carried out. Moreover, the effectiveness of the SWM system of St. Mary's Lacor Hospital in Gulu was evaluated. Waste has been characterized and a material flow analysis allowed to highlight the difference with the current situation in the remaining part of Gulu. The sustainable practices already implemented in the hospital compound were studied to be replicated in Gulu to mitigate SWM impact in terms of global warming potential. Inadequate financial resources pose a hurdle for Gulu municipality in managing municipal solid waste (MSW) effectively. The SWM system of the hospital demonstrated both financial and managerial competence, paving the way to promote waste recycling actions acting as a hub for fostering sustainable and health-conscious valourization technologies, while discouraging waste open burning and dumping. This study estimated that the total CO2-eq emissions from open dumping and open burning avoided in 2030-2050, if Gulu would appropriately dispose of MSW by 2030, are equal to about 17,000 metric tonnes per year (t year-1). This work suggests appropriate strategies to mitigate waste open burning in low-middle income countries. The results can be helpful for waste management planners and practitioners providing important information for the use of appropriate technologies in low-middle income developing cities.

Environmental Impact Assessment of Solid Waste Disposal on Groundwater Quality

<p class="CxSpFirst" style="text-align:justify;"><span style="font-family:"Times New Roman","serif";font-size:12.0pt;line-height:150%;text-autospace:none;">This study focuses on the impact of solid waste on groundwater quality in the region of Ramayanpatti, Tirunelveli. Tirunelveli city generates 100 tonnes of solid waste in a day. Solid waste has organic matter, inorganic matter, and moisture content which leaches dissolved organic matter, and heavy metals to the groundwater. Rainfall runoff carries all the dissolved contaminants from the solid waste and infiltrates into the groundwater. Groundwater quality is characterized at 30 locations around the dumping yard. Water Quality Index (WQI) is calculated using important characteristics such as pH, TDS, Calcium, Magnesium, Alkalinity, Sodium, Potassium, Chloride, Nitrate, and Sulphate by its relative weightage. The Spatial distribution of WQI is drawn.  Groundwater Quality is very poor in the surrounding region of solid waste dump yard and also in the areas of agriculture irrigated areas. Groundwater in other areas shall be used for domestic purposes except drinking with proper disinfection.</span></p><p class="CxSpMiddle" style="text-align:justify;"><span style="font-family:"Times New Roman","serif";font-size:12.0pt;line-height:150%;text-autospace:none;"><strong>Keywords:</strong> Solid waste, Groundwater Quality, Characterization, Water Quality Index, Groundwater use</span></p>

Beneath the surface: assessing pollution levels near major solid waste dumpsites in Lagos, Nigeria.

Effective solid waste management is a critical environmental challenge, particularly in rapidly growing Global South countries like Nigeria. This issue is exacerbated by burgeoning populations, lax waste regulations, and the widespread practice of open dumping. The deterioration of soil quality and alteration of water quality are major consequences of open waste dumping, posing significant environmental and public health risks. This study aims to assess the environmental risk and pollution status of soil and water resources near major dumpsites in Lagos. It aims to offer insights that can inform targeted interventions and policy measures not only in Lagos but also in comparable urban settings worldwide. Results indicated that important soil parameters, including TN (11.89-13.83mg/kg), pH (6.45-7.35), sulfate (36.71-39.49mg/kg), phosphate (9.31-14.39mg/kg), and electrical conductivity (342-566 µS/cm), were significantly affected by the dumpsites. Additionally, concentrations of heavy metals varied, with some exceeding permissible limits set by international standards, highlighting the environmental challenges posed by improper waste disposal in urban settings like Lagos. The analyzed parameters for water were mostly within acceptable limits, indicating a lesser impact of the waste dump on water resources. Water samples from boreholes and hand-dug wells near three dumpsites showed that pH, TDS, and heavy metal concentrations were mostly within WHO limits, with borehole water deemed safe for drinking and hand-dug wells suitable for cleaning. To alleviate the environmental impacts of open dumpsites, it is recommended to implement effective waste segregation, recycling programs, controlled landfilling, and investment in waste treatment technologies, along with regular water quality monitoring to prevent further pollution and protect public health. While these measures offer opportunities, they also face significant challenges due to financial and land constraints. Therefore, strong public awareness, infrastructure investment, and government commitment are essential, along with coordinated efforts among the government, private sector, and communities.

Numerical Investigation of the Slope Stability in the Waste Dumps of Romanian Lignite Open-Pit Mines Using the Shear Strength Reduction Method

Open-pit mining generates significant amounts of waste material, leading to the formation of large waste dumps that pose environmental risks such as land degradation and potential slope failures. The paper presents a stability analysis of waste dump slopes in open-pit mining, focusing on the Motru coalfield in Romania. To assess the stability of these dumps, the study employs the Shear Strength Reduction Method (SSRM) implemented in the COMSOL Multiphysics version 6 software, considering both associative and non-associative plasticity models. (1) Various slope angles were analyzed, and the Factor of Safety (FoS) was calculated, showing that the FoS decreases as the slope angle increases. (2) The study also demonstrates that the use of non-associative plasticity leads to lower FoS values compared to associative plasticity. (3) The results are visualized through 2D and 3D models, highlighting failure surfaces and displacement patterns, which offer insight into the rock mass behavior prior to failure. (4) The research also emphasizes the effectiveness of numerical modeling in geotechnical assessments of stability. (5) The results suggest that a non-associative flow rule should be adopted for slope stability analysis. (7) Quantitative results are obtained, with small variations compared to those obtained by LEM. (6) Dilatation angle, soil moduli, or domain changes cause differences of just a few percent and are not critical for the use of the SSRM in engineering.

The persistent DDT footprint of ocean disposal, and ecological controls on bioaccumulation in fishes

Globally, ocean dumping of chemical waste is a common method of disposal and relies on the assumption that dilution, diffusion, and dispersion at ocean scales will mitigate human exposure and ecosystem impacts. In southern California, extensive dumping of agrochemical waste, particularly chlorinated hydrocarbon contaminants such as DDT, via sewage outfalls and permitted offshore barging occurred for most of the last century. This study compiled a database of existing sediment and fish DDT measurements to examine how this unique legacy of regional ocean disposal translates into the contemporary contamination of the coastal ocean. We used spatiotemporal modeling to derive continuous estimates of sediment DDT contamination and show that the spatial signature of disposal (i.e., high loadings near historic dumping sites) is highly conserved in sediments. Moreover, we demonstrate that the proximity of fish to areas of high sediment loadings explained over half of the variation in fish DDT concentrations. The relationship between sediment and fish contamination was mediated by ecological predictors (e.g., species, trophic ecology, habitat use), and the relative influence of each predictor was context-dependent, with habitat exhibiting greater importance in heavily contaminated areas. Thus, despite more than half a century since the cessation of industrial dumping in the region, local ecosystem contamination continues to mirror the spatial legacy of dumping, suggesting that sediment can serve as a robust predictor of fish contamination, and general ecological characteristics offer a predictive framework for unmeasured species or locations.

Potential for the Recovery of Selected Metals and Critical Raw Materials from Slags from Polymineral Zn–Pb Ore Metallurgy—Part I

Slags from the Silesia–Cracow Upland (Poland), including ten historical slags (deposited in waste dumps) and four contemporary slags (from current production), were examined to compare their chemical and mineralogical properties as well as to assess their potential for the recovery of selected metals and critical raw materials. The historical slags associated with the smelting of polymetallic ores originating from Mississippi Valley-type (MVT) deposits consisted primarily of gypsum. The contemporary slags, obtained from industrial waste rich in zinc and lead, were predominantly spinels (magnesium-aluminate and ferric) that exhibited higher iron content (up to 46.6 wt% of Fe2O3) compared to the historical slags (up to 26.1 wt% of Fe2O3). The zinc content was similar for both the slag types (3.5 wt% Zn). The average titanium and arsenic contents in the old and contemporary slags were at the same level as well, with 0.21 wt% (Ti) and 0.13 wt% (As), respectively. The contemporary slags contained higher levels of critical raw materials, such as cobalt, nickel, copper, and manganese, compared to the historical slags. Rare earth elements (REEs) were also more abundant in the contemporary slags, with an average content of 212 ppm, while the historical slags averaged 124 ppm. These findings underscore the potential for recovering valuable metals and critical raw materials from such slags, presenting opportunities for resource optimisation and environmental management.

Recent developments in building sustainable marine fisheries in China: Reflections on the 2023 Revision of the Marine Environmental Protection Law

As the ocean provides an environmental carrier for fisheries development, sustainable marine fisheries and marine environmental protection are highly synergistic and consistent. Facing traditional and emerging crises such as marine pollution, overfishing and climate change, China revised the Marine Environmental Protection Law in 2023. This article aims to evaluate whether the newly revised Marine Environmental Protection Law effectively responds to crises of sustainable development in marine fisheries and how it contributes to sustainable marine fisheries. The study has found that the 2023 revision enriches and improves China’s legal regimes on marine fisheries from multiple aspects, covering marine environmental supervision, marine ecological protection and the prevention and control of land-based pollution, engineering construction projects pollution, waste dumping pollution, vessel pollution and legal responsibility. The newly revised Marine Environmental Protection Law not only refines the institutional norms and intensifies the legal responsibilities of violations but also improves the systemic nature of the legislation, thus providing stronger legal guarantees for sustainable marine fisheries. However, there are also legislative shortcomings such as unclear connotations of the newly established legal regimes and insufficient response to overfishing and climate change. Nevertheless, China’s newly revised Marine Environmental Protection Law applies the methodology of integrated ecosystem management and comprehensively utilized regulatory measures such as command-and-control tools, honor encouragement and economic incentives to enhance its regulatory effect, also providing implications and insights for addressing the challenges of sustainable marine fisheries on a global scale.

Evaluation of the probiotic ability of Cellulolytic Bacillus subtilis SBMP4 (FSP20) isolated from waste-dump site in FIIRO, Lagos Nigeria

BACKGROUND: Current invention in the field of biotechnology includes research into the probiotic potentials of enzyme-producing bacteria species. OBJECTIVE: This study evaluated the probiotic ability of cellulolytic Bacillus subtilis SBMP4 isolated from waste dump site. METHODS: Isolated Bacillus species was screened for cellulolytic ability on carboxyl methylcellulose agar (CMCA), and hydrolysis efficiency was calculated. Probiotic ability of cellulolytic Bacillus species was carried out as follows: pathogenic potentials, bacteriocin producing ability, antibiotic susceptibility testing, gastric acid, and bile tolerance. Molecular identification was done by means of 16S rRNA gene sequencing, blast search analysis and phylogenetic analysis. RESULTS: Zone of clearance of 30 ± 2.08 mm on CMCA with hydrolysis efficiency of 114 % depicted the isolate’s cellulolytic potential. Bacillus subtilis SBMP4 showed γ-hemolytic phenotype with negative lecithinase activity. Antibacterial activity of bacteriocin observed against Staphylococcus aureus ATCC 25923 reference culture, had maximum inhibition zone of 14±1.0 mm at 72 hour of incubation. Substantial susceptibility towards 9 out of 10 commonly used antibiotics further depicted the isolate’s probiotic ability. Bacillus subtilis SBMP4 exhibited good gastric acid tolerance (pH 2.5) of 5.857 Log cycle/ml and good tolerance to 5 % and 10 % bile salt concentrations with 6.134 and 6.301 Log cycle/ml of viable bacteria cells. Molecular identification of the selected bacteria species revealed it to be Bacillus subtilis SBMP4 with RefSeq accession number NR_118383, showing maximum sequence similarity of 98%. CONCLUSION: Cellulolytic Bacillus subtilis SBMP4 possesses good probiotic ability and has the potentials of being applied as additive in livestock feeding to enhance overall productivity. KEYWORDS: Cellulolytic, Probiotic, CelA gene, Bacteriocin, Bacillus subtilis

Unveiling Environmental Crime Trends and Intensity in the EU Countries Through a Sustainability Lens

AbstractEnvironmental crime poses a significant threat to global ecosystems, biodiversity, and human well-being, encompassing activities such as pollution, illegal waste disposal, trade in protected species, and natural resource degradation. Understanding the dynamics of these crimes is essential for devising effective mitigation strategies and promoting sustainability at micro, meso, and macro level. The aim of the study is to examine environmental crimes in the EU, focusing on their current trends, patterns, and Intensity, as well as the impact on sustainability across its three dimensions. Fourteen EU countries environmental crime data from 2016 to 2021were analysed to reveal variations and trends. Geographic information systems (GIS) utilized to identify countries with elevated environmental crime rates, emphasizing the need for interventions in pollution control, waste management, and resource conservation. Results indicate high environmental pollution intensity in Italy, Sweden, and Denmark. Moreover, Italy emerges as the epicentre of illegal waste dumping, with notable cases also present in Belgium and France. Additionally, France, Slovakia, and Italy show alarming levels of illegal wildlife trade. Furthermore, France and Sweden exhibit the highest density of natural resource degradation cases. In addition, the study unveiled a positive correlation ($$\:b>0$$) between environmental pollution, trade in protected species, and natural resource degradation with population growth, while waste disposal exhibited a negative correlation ($$\:b<0$$). Moreover, trade in protected species and resource degradation correlated negatively ($$\:b<0$$) with the poverty ratio. Addressing environmental crimes aligns with the pursuit of green justice, recognizing the interconnectedness of environmental, social, and economic factors. The findings offer valuable insights for policymakers, environmentalists, and communities, guiding interventions towards a sustainable and resilient future.

Soil degradation around Orji municipal solid waste dump site: a spatial assessment.

The present study assessed the impact of municipal solid waste dump on the degradation of soil around Orji dump site. A total of 15 soil samples were collected for this study. Twelve soil samples were collected around the dump site at 0m, 10m, and 20m distance and three from Imo State University (IMSU) research farm as control. The samples were collected from the east, west, north, and south of the dump site. The samples were subjected to laboratory analyses. The mean results obtained indicate that the values of the dump site soil parameters analyzed ranged from 86.67 to 89.00% (sand), 4.33 to 5.67% (silt), 7.00 to 7.67% (clay), 6.80 to 7.50 (pH), 4.33 to 7.00 dS m-1 electric conductivity (EC), 0.0028 to 0.0045mgkg-1 (salinity), 2.36 to 3.76% soil organic matter (SOM), 24.13 to 38.93 cmolc kg-1 cation exchange capacity (CEC), 4.50 to 9.57 cmolc kg-1 calcium (Ca), and 1.0 to 2.25 cmolc kg-1 magnesium (Mg). At the control, mean values were 81.24% (sand), 6.39% (silt), 12.45% (clay), 5.69 (pH), 0.47 dS m-1 (EC), 0.0005mgkg-1 (salinity), 1.99% (SOM), 5.08 cmolc kg-1 (CEC), 2.17 cmolc kg-1 (Ca), and 1.67 cmolc kg-1 (Mg). These values showed substantial enrichment. Correlations indicate that EC, salinity, and CEC majorly determined the availability of most of the parameters analyzed. Soil degradation index (SDI) was used to determine degradation around the dump site. It ranged from 2.546.61% (0m) to 1573.50% (10m) and 1.603.73% (20m). Thus, distance affected the rate of soil degradation in all directions away from the dump site.

Circular economy strategies in sedimentary phosphate mine reclamation: Development of technosol from phosphate waste rock

Proper management of mine waste plays a crucial role in minimizing environmental impacts. One potential solution to tackle this problem involves transforming mine waste rock into soil to facilitate the process of mine restoration. The aim of this study was to assess the mineralogical, chemical, and physical characteristics of technosol derived from phosphate mine waste dumps. Following this evaluation, a novel rehabilitation strategy was proposed. For this purpose, a total of 32 samples were systematically collected across a 4 ha area of technosols, which had been established in accordance with the waste rock soil rehabilitation strategy involving geomorphic reshaping. According to the findings, phosphate mining left the soil with a sandy texture, resulting in a degraded soil structure with severely unfavorable crop growth conditions, notably poor stability, and low water retention. The chemistry of the studied soils was characterized by the dominance of CaO (29.02 wt%± 1.01) > SiO2 (27.61 wt% ± 0.61) > P2O5 (11.34 wt% ± 0.23) > MgO (5.97 wt%±0.16). Mineralogically, the samples were mainly formed by quartz, dolomite, calcite, apatite, and clay minerals. The prevalence of dolomite played a significant role in enhancing the accessibility of Mg as an essential nutrient and the occurrence of apatite in the soil resulted in the presence of P2O5. However, the abundance of Ca was linked to three major minerals: calcite, apatite, and dolomite. X-ray fluorescence analyses demonstrated that the concentrations of Fe2O3, K2O, and SO3 did not exceed 2 wt%.Organic matter, represented by SOC <0.2% and N < 0.02%, demonstrated an extraordinary deficiency in the study area. The analysis of element bioavailability confirmed that the soil was rich in Ca (10383,26 mg/kg), Mg (278,47 mg/kg), Zn (12,82 mg/kg), and Cu (3,7 mg/kg) but deficient in other essential nutrients such as P, K, S, Mn, and Fe. Our research results provide a set of recommendations aimed at enhancing existing mine rehabilitation practices applicable to both pre- and post-rehabilitation phases, leveraging automated mineralogy and circular economy principles. Notably, we propose a rehabilitation strategy to be implemented prior to the geomorphic reshaping phase, which is intended to reduce costs and efforts associated with soil reconstitution.

Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic‐resistant bacteria in human‐transformed landscapes

Abstract Human‐transformed residuals, especially those derived from human waste (dumps), farmland, and livestock are involved in the emergence of antibiotic‐resistant bacteria (ARB) in the environment. Wildlife can act as vectors of ARB dispersal through different environments, but also as sentinels to detect the early spread and determine ARB sources. The development of integrated monitoring programmes focused on wildlife would help to anticipate the risks of ARB to humans and livestock. We used the yellow‐legged gull (Larus michahellis) as a model species to investigate and monitor the spatial patterns of ARB dispersal across an extensive farmland region located in northeastern Spain (Lleida). By integrating GPS tracking data and ARB clinical testing for 26 individuals within a network analysis framework, we modelled the risk of spatial pathogen spread through faeces during the bacteria‐transmission latency period (16 days after sample collection). Additionally, we created a connectivity network to determine the main sources of ARB in the area, focusing on three main habitats of special risk for infection: dumps, livestock facilities, and irrigation ponds. Seven individuals were infected by Escherichia coli, with one also co‐infected with Listeria monocytogenes and Salmonella spp. Potential pathogen dispersal distances ranged from 1.13 km to 23.13 km from the breeding colony. Our network analyses revealed 54 main nodes (i.e. high‐risk habitats recurrently visited by tracked gulls) and 1182 links among them. Our findings revealed a high degree of connectivity between the breeding area, located in a shallow lake, and nearby dumps, highlighting them as significant contributors to ARB dispersal. Synthesis and applications: The integration of GPS data, pathogen testing and network analyses can shed further light on pathogen dynamics by creating spatial risk maps and identifying ARB sources. In combination with complementary molecular epidemiology techniques within a One Health framework, our approach can emerge as an important tool for monitoring ARB dynamics within highly human‐transformed ecosystems. This may empower managers for the development of targeted ARB monitoring programmes and effective mitigation strategies, ultimately improving both animal and public health.

Evaluating the carbon emission reduction in construction and demolition waste management in China

Construction and demolition waste reduction (C&DWR) is an important measure to protect the environment and promote sustainable development in the construction sector. The present policy in China remains a lack of emphasis on carbon tax and penalty for reducing construction waste. This paper proposes a construction and demolition waste (C&DW) management model to identify the waste reduction effects of various policies in China. It simulates the effects of single policies and combined policies on waste reduction and carbon emission by using the approach of integrating system dynamics and grey model theory. The results reveal that: (1) Penalties can effectively reduce the amount of illegal dump waste and carbon emissions from illegal dump waste, with an appropriate penalty value (in Chinese CNY) suggested as ∈160,320. (2) Subsidies can vastly increase the amount of waste recycled and a carbon tax can reduce carbon emissions; the recommended values are suggested as subsidies ∈30,45 and carbon tax ∈40,70. (3) Compared to other policies, the combined policy of penalty–waste disposal charging fee–subsidy–carbon tax (160, 60, 45, 70) achieves the greatest environmental benefits in terms of reducing waste and carbon emission. (4) Governments should improve waste minimization incentive policies and gradually introduce trials for a carbon tax policy, encourage the use of digital governance combined with blockchain technology to regulate C&DW. These findings provide valuable insights for policymakers to develop effective waste reduction strategies and promote sustainability through the implementation of C&DWR theories.

Assessment Of Soil Quality Index In Municipal Solid Waste Dumping Area Of Chandrapur City, Maharashtra

Assessment Of Soil Quality Index In Municipal Solid Waste Dumping Area Of Chandrapur City, Maharashtra

Comprehensive assessment of the earth’s surface state disturbed by mining and ways to improve the situation: case study of Kryvyi Rih Iron-ore Basin, Ukraine

IntroductionComplex mineral mining leads to critical earth’s surface disturbance and environmental pollution from industrial waste. This research aims to comprehensively study, assess and show the current scale of the earth’s surface disturbances in the largest mining region of Ukraine – the Kryvyi Rih. Iron-ore Basin and suggests ways to improve the situation based on backfill technologies for the earth’s surface rehabilitation and industrial waste utilization.MethodsTo identify the forms of surface disturbance, their parameters, and spatial location, satellite images of the region, government statistical data, and a geographic information system software suite were studied. An analysis of the effectiveness of existing reclamation measures for technogenic voids in the region was carried out, and a new concept of surface restoration was proposed using beneficiation tailings, which are difficult to utilize in the region.ResultsIt has been determined that the contribution of the Kryvyi Rih Iron-ore Basin to waste generation is 92.08% of the total volume of waste accumulations in Dnipropetrovsk Oblast and 65.5% in Ukraine as a whole, amounting to 10.7 billion tons. It is determined that 65.25% of the total disturbed land area is industrial waste, 34.76% – quarry cavities and mine failure zones, occupying 49% of the Kryvyi Rih city area. An analysis of waste accumulation density in allotted areas shows that per 1 m2 of land area, on average, 183.5 tons of dump waste rocks and 73.5 tons of beneficiation tailings are placed. Disposal of beneficiation tailings is recognized as a priority, because their utilization is slower, occupy the largest area, creating a risk of dams breaching and intense dusting from tailings dams surface, threatening the environment and public health. For the first time in Ukraine, a concept for the earth’s surface rehabilitation for various industrial purposes has been developed based on paste backfill technologies.DiscussionPaste backfill technology implementation is prioritized in the central and northern parts of the city, which can dispose of at least 65–70 million tons of waste in cavities and reclaim about 200 ha of land. The research results are valuable for the development of strategies or programs to overcome the technogenic-ecological crisis in the city. The rehabilitated earth’s surface can be usefully involved in various infrastructure projects for the development of the industrial and economic potential of an industrial city such as Kryvyi Rih.

Investigation of microplastics and potentially toxic elements (PTEs) in sediments of two rivers in Southwestern Nigeria.

Microplastics (MPs) are emerging and ubiquitous contaminants, known to accumulate in river sediments. In many developing nations, the absence of policies for managing plastic waste puts the inland river ecosystems at risk of excessive abundance of plastics and MPs. However, only limited studies have reported MPs in river environments in these countries. The current study therefore examined the abundance and nature of MPs and potentially toxic elements (PTEs) in the sediments of the Odo-Ona and Ogun Rivers in Southwest Nigeria. MPs were extracted from the sediments using the density separation method and categorized according to their size, colour and shapes. The range of MP abundances found in the Ogun River sediments was 66.6 ± 12.2 to 311 ± 20.8 particles/kg, while that of the Odo-Ona River ranged from 133 ± 50 to 433 ± 100 particles/kg. The MPs polymer analyses revealed the presence of polyethylene (PE), polypropylene (PP) and polyamide (PA) particles in the sediments. PE was most abundant in the two rivers, constituting 72.8% and 59.7% of MPs (with 0.5 - 5mm size), recovered from the Odo-Ona and Ogun Rivers, respectively. High concentrations of Cr and Pb with ranges of 10.3 - 48.3 and 10.1 - 211mg/kg, respectively, were detected in the sediments and were associated with anthropogenic effects. This study reveals the impact of indiscriminate waste dumping on the water bodies, and calls for strict enforcement of environmental laws in the country.