Effective stormwater management can be used to regulate water quantity and quality for environmental sustainability, flood control, pollution reduction and other advantages of civil engineering infrastructures. Pollution of the environment and contamination of water sources can emanate from improper stormwater management. This study used a small-scale model of rainwater harvesting to analyze the design and model of urban stormwater management and treatment infrastructure for the neighborhoods in Abuja. The water quality of the treated stormwater retrieved has improved as a result of the usage of memory foam, alum, and chlorine to filter out contaminants and pathogens. With the fictitious stormwater treatment model created for this study, average values of the physicochemical parameters were collected from the stormwater discharge after it had been filtered and treated. The use of potash alum has had a variety of effects on the water’s quality. From 697 mg.L-1 to 635 mg.L-1, the total dissolved solids dropped. The DO dropped from 5.87 mg.L-1 to 3.92 mg.L-1 as well. Additionally, the turbidity rose from 4.42 FNU to 4.58 FNU, and the salinity rose from 0.7 PSU to 1.44 PSU, respectively. pH decreases from 19.78 to 15.17 mg.L-1, BOD decreases from 8.35 to 6.51, and COD decreases from 2.55 to 1.9. Calcium hardness has decreased from 287 mg.L-1 to 265.83 mg.L-1. The conductivity increases marginally from 3.24 ms.cm-1 to 3.82 ms.cm-1. The Fe2+ and Zn2+ ions exhibit a little decrease from 0.143 mg.L-1 to 0.055 mg.L-1 and from 0.092 mg.L-1 to 0.045 mg.L-1, respectively. Due to inadequate or nonexistent drainage systems in the many states and villages throughout the country, stormwater run-off management and treatment in Nigeria have been a colossal failure. Effective stormwater management can be sustained by using legal and environmental laws.

The wetlands are the partially water-submerged environments that are highly productive, and support fauna and flora species in significant numbers that are dependent for their survival on the organic production of wetlands. Kanwar Lake is situated about 22 kilometers to the northwest of Begusarai. The Gandak River, a tributary of the Ganges, meanders across the area, creating the largest oxbow lake in Asia. It is a natural body of water that is significant on many different levels, including ecological, floral, faunal, geomorphological, and zoological. In 1989, the state government of Bihar designated Kanwar as a protected area for avian species. It has been considered a Ramsar site since 1987, but the wetland was not one of the 13 designated sites. In 1984, the lake’s area was 6,786 hectares (ha), but by 2004, it had shrunk to 6,043.825 ha. Only 2,032 hectares remained of the original lake area by 2012. Wealthy farmers and locals have rapidly colonized the lake bed. Lake biodiversity has declined as weeds have grown across the wetland. Widespread deforestation, overgrazing, unsustainable agricultural methods and over-exploitation of biomass for wood, fodder, and timber have stripped the land of its natural vegetative cover and exacerbated erosion. The research deals with the ecological study of the area and how urbanization has caused impacts on it. It focuses on how this has caused the deterioration of the lake and the measures for restoring the lake ecology, safeguarding the trend of urbanization. After analyzing the major key issues and analyzing the issues at the edge of the lake and around the Manjhaul, some of the major findings conclude that there is a need for stormwater management of the whole city, restoration of Kanwar wetland, and industrial control around the lake.

Accurate prediction of non-point source water pollution is conducive to the prevention and control of rural water pollution. To improve the prediction accuracy of agricultural non-point source water pollution and achieve timely prevention and control, a prediction model of agricultural non-point source water pollution based on the grey correlation method is designed. According to the historical data of agricultural non-point source water pollution, the influencing factors of water pollution degree are determined by using the grey correlation method, and standardized pretreatment is carried out. The pretreatment results are transformed into function expression forms, and the original sequences of different influencing factors are generated, which are brought into the function table to achieve the results, and the whitening differential equation is constructed to measure the concentration of agricultural non-point source water pollution. The structure design of the prediction model of agricultural non-point source water pollution can realize the prediction of agricultural non-point source water pollution. The results show that the prediction model of agricultural non-point source water pollution based on the grey correlation method has high prediction accuracy and small prediction error.

Issues related to global climate change have attracted widespread attention around the world, and China is no exception. With the introduction of a huge number of foreign direct investment (FDI), carbon dioxide emission pollution, such as ocean acidification, has become a serious threat in the Pearl River Delta (PRD) region. This study constructs models to analyse the effects of FDI on carbon dioxide emissions in the PRD region, as well as to analyse the scale, technique and composition effects in the area. Results indicate that the introduction of FDI can effectively reduce carbon dioxide emissions in the region because the foreign capital could bring environmental-friendly and energy-saving technologies, reduce carbon dioxide emissions per unit of GDP, and lessen damage to the environment. In addition, foreign capital flowing into the secondary sector has caused more serious damage to the environment than those flowing into the tertiary sector. Therefore, the area should actively guide foreign investment into industries with lower pollution and lower emissions. At the same time, strict standards should be developed to slow down the inflow of foreign capital in sectors which are energy-intensive, environmentally damaging, and have low levels of value-added production.

Fashion is a potent visual indicator of our times, almost a language that speaks for us and something popular or in style, a zeitgeist. Fashion, specifically fast fashion, has gained prominence in discussions about fashion, sustainability, and environmental awareness. The speed of the hedonic treadmills continues to increase exponentially, and the so-called fast fashion has won legions of young fans who can snap up relatively cheap clothes online, but the trend masks darker environmental problems. Concerns about the fashion industry’s environmental impact have increased in recent years. This realization was prompted by accumulated evidence of a rise in clothing consumption due to greater availability and affordability. This shift has fostered not only heedless and hasty clothing consumption but also heedless and hasty clothing disposal. This article attempts to elucidate the relationship between humans and the environment. It also tries to incorporate the concepts of sustaincentrism and traceability to pave the way for sustainable development. This study employs an experimental survey method to ascertain consumers’ perceptions of sustainable fashion and to assess the implications of their current purchasing behavior. The SPSS software is used to analyze the data’s reliability, and regression analysis was employed to determine the fashion industry’s environmental impact. The survey results indicate optimism for a rise in ethical business strategies and the adoption of sustainable approaches within the fashion industry, thereby establishing a green economy.

The epilithic diatoms of a periurban watercourse of Casablanca city (Bouskoura stream) were studied from samples taken in 8 stations (distributed in the upstream-downstream direction) for two years (August 2015-July 2017). The recorded diatomic flora consists of 54 species corresponding to 27 genera and belonging to 5 main families: Monoraphids, Naviculaceae, Nitzschiaceae, Araphids and Surirellaceae. This flora is predominantly alkaliphile and characterizes ?-mesosaprobe to polysaprobes and eutrophic to hypereutrophic media. Responses assemblage to natural and anthropogenic disturbances were analyzed. Diatom assemblages structure analysis shows that downstream of this watercourse, where pollution is intense, the abundances of pollosensitive taxa such as Achnanthes minutissima, Cymbella affinis are low or even nulls and we are witnessing the appearance of polysaprobe forms such as Nitzschia palea, Nitzschia capitellata and Nitzschia frustulum that tolerate rich environments in organic matter or highly polluted. Spatial variation in species diversity could not highlight changes in water quality at the prospected sites; on the other hand, the change in the percentage of pollutant-tolerant taxa (PTV) revealed the full extent of the alteration due to gradual nutrient and organic matter inputs into the Bouskoura watercourse. In addition, the correlation obtained between this index and the organic pollution index (IPO) is highly significant. Principal component analysis (PCA) highlighted taxonomic differences between stations. The results obtained in this work have emphasized the importance of diatoms as a bioindicator of the health status of this periurban watercourse.

The stated goal of the research is to investigate the surface water quality of the Baitarani River in Odisha to ascertain its compatibility for various uses. Large, complex datasets generated during the one-year (2021-2022) monitoring program were collected from 13 locations and encompassed 22 parameters. To examine temporal and spatial fluctuations in and to interpret these datasets, MCDMs like TOPSIS and the Entropy-based Water Quality Index (EWQI) were utilized. The physical and chemical outcomes of the current experiment were compared to WHO standards. According to the analysis’s results, turbidity and total coliform (TC) are indicators that have a greater impact on water quality in all locations during both seasons and are directly linked to home and agricultural non-point source pollution. As per EWQI interpretation, 30.77 % of the observations in PRM and POM fall under the poor category. The findings showed how anthropogenic activities have harmed St. 8, 11, 12, and 13 and require effective management. A quantifiable approach was also carried out to decide the efficacy of TOPSIS. Farming attributes, including SAR, % Na, RSC, MR, KI, and PI, were estimated to delineate the agriculturally practicable zones. This work can offer a reference database for the betterment of water quality.

Batteries are a widely utilized and simple method for powering electronic devices, particularly given the prevalence of individuals traveling to all gadgets. The escalating adoption of electric vehicles and portable electronic devices has led to a surge in the demand for lithium-ion batteries. Consequently, this has given rise to supply uncertainties in acquiring essential minerals such as lithium and cobalt, along with concerns about the proper disposal of dead batteries. The existing methods for battery recycling exhibit variations based on the individual chemistries of the batteries, hence influencing both cost factors and greenhouse gas emissions. Simultaneously, there exists a possibility for repurposing depleted batteries for low-tier energy storage applications. The absence of legislation pertaining to the secure storage and handling of waste streams contributes to the accumulation of refuse in exposed environments and the release of hazardous substances from landfills. In addition, contemporary battery manufacturing methods necessitate the utilization of innovative substances, such as ionic liquids for electrolytes and nanostructures for cathodes, to enhance the energy characteristics and longevity of batteries. The presence of uncertainties regarding the accurate assessment of the environmental consequences associated with novel battery chemicals has the potential to impede efforts aimed at recycling and containment. The objective of this analysis is to consolidate the existing knowledge regarding battery pollutants, both those that are recognized and those that remain uncertain, and to assess their potential environmental impacts. Additionally, this research aims to examine the current strategies and methods employed for the recycling of batteries in the circular economy.

As one of the basic elements of the ecosystem and natural environment, the soil is closely related to human life. However, the problem of soil environment pollution is becoming more and more serious, which needs to be solved urgently. It will provide a reference for solving the problem of soil environment pollution if a suitable method can be found to evaluate the degree of soil environment pollution. The degree of soil environment pollution belongs to the fuzzy concept. It is a fuzzy pattern recognition problem to evaluate the degree of soil environment pollution according to the soil environment level standard value. The fuzzy pattern recognition method of soil environment pollution assessment makes full use of the fuzzy characteristics existing in soil environment assessment, considers the common influence of the weight of evaluation factors and the index value, and also considers the correlation between indexes and the similarity of index characteristics of different sampling points, therefore, the interference of some man-made certain factors is concealed. The model was applied to the soil sampling point in Wudi County of Shandong Province in the Yellow River basin of China. The results showed that the evaluation of soil environment pollution by this method accorded with the actual situation and can provide a basis for ensuring the stability of soil ecological environment, improving the quality of cultivated land, and improving regional ecological conditions. At the same time, in view of the current problem of soil environment pollution, the paper calls on human beings to pay attention to environmental protection and be responsible for their own safety and also proposes four aspects of treatment schemes and measures.

Though ammonia (NH3) is one of the most highly produced inorganic chemicals in the world, its pollution disadvantage on air and water have drawn much attention. In this article, the NH3 removal is investigated through pulse discharge method. A zero dimensional molecular reaction model is established and solved. The vapour assisting effect on the NH3 gas removal is discussed due to the extremely soluble character of NH3. Simulation indicates that the vapour additive has affected the H2 and N2 generating process. For vapour with several thousand’th ratio mixed, the electron collision on H2O has been ignored. The results show that lower concentration vapour improves the removal efficiency in a very small extent, but higher vapour deteriorates it, with the optimal mixing concentration ratio between H2O and NH3 as 0.75:1000. For vapour with several tenth ratio mixed, the electron collision process on H2O molecules is considered. More H2O additive has significantly improved the NH3 removal efficiency by accelerating the H2 and N2 generation process. At the vapour ratio of 750‰, the removal efficiency is 64.28%, which is remarkably higher than that of 37.81% without vapour added. H2O additive has saving of 70% energy consumption. The initial NH3 concentration is another factor to influence the removal efficiency. The higher the initial NH3 input, the less the H2O is decomposed into OH and H by electron impact, and the removal efficiency is decreased consequently.