This study focuses on atmospheric aerosols, especially aerosol optical depth (AOD), over Dire Dawa, Ethiopia, from 2009 to 2020. At first, a correlation between the four satellite sensors and AERONET was made for validation purposes and to determine the sensor that best represents Dire Dawa. Intercomparisons were also made among the four satellite sensors. After all statistical tests, annual, seasonal, and decadal trend analyses were made. The validation results indicated that the AOD of MODIS-terra showed the best correlation with AERONET with R2 (0.78), RMSE (0.03), and MBE of 0.02 and represented the area better than the rest. The inter-comparison of AOD retrieved from multi-spectral satellite sensors showed a positive and satisfactory correlation between MODIS-Terra and OMI. Only MODIS-Aqua showed a linearly increasing mean annual AOD with R2 = 0.43. In three seasons (summer, autumn, and spring), AOD showed linear increments over the 12 years, with R2 ranging between 0.3 and 0.5. The three seasons also had nearly identical AODs of 0.23-0.28. However, winter had the lowest value of 0.2. MODIS-terra, out of the four sensors, exhibited increasing decadal tendency over the 2009-2020 period. Monthly analysis revealed that August had the highest AOD (0.265), and January had the lowest (0.14). The value of AOD obtained from this study over Dire Dawa shows a higher value during all seasons except during winter. Thus, this study gives a glimpse into the use of multi-spectral satellite sensors to monitor air quality over a semi-arid urban region.

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.

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.

Glyphosate is a herbicide of a wide spectrum that alters the production of amino acids in plants, leading to their death. Due to its properties, it is used to eliminate weeds that interfere with human activity. The intensive use of this herbicide in the past decades has led to its frequent encounter in the environment as it has been detected in water, animals, and food destined for human consumption. Its impact on human health and the rest of living organisms has not been fully explored, given that many authors enter into contradictions with one another, specifically surrounding the role of surfactants in the commercial presentation of herbicides. The use of pesticides can have significant impacts on ecosystems, threatening bio-cultural diversity due to genetic contamination from transgenic crops. The effectiveness of Glyphosate-based herbicides in weed control is diminishing due to weed tolerance. However, the use of herbicides remains prevalent in large-scale crops due to the challenges of organic food production. In addition, the probable conflict of interest by the agrochemical industry does not bring a full picture with respect to the actions that world governments should take. Banning GLP-based herbicides may lead to the use of other pesticides, in which the long-term impacts will require further studies. The motivation for this research is the review of the latest advances of glyphosate in the world, considering the use and prohibitions of this herbicide, its interaction with water and soil, as well as the effects on both the environment and health. The search for information for this paper was carried out in the Mendeley, Elsevier, and Springer databases by filtering by the suitable keywords.

Environmental pollution is escalating due to inadequate waste management, with the open burning of agricultural waste being a significant contributor. This process releases various harmful gases into the environment. This study introduces an innovative approach to creating sound absorption materials using agricultural by-products, specifically paddy straw and coconut coir, along with newspaper by-products. The research was conducted in two phases: first, the production of sound absorption panels with different densities and adhesive quantities, and second, the evaluation of these panels’ sound absorption capabilities through laboratory experiments. The impedance tube test was used to determine the sound absorption coefficient (SAC). The results showed effective sound absorption, especially at lower frequencies ranging from 125 Hz to 6300 Hz. Notably, paddy straw and coconut coir exhibited significant sound absorption values at 1,000 Hz (0.59 and 0.52, respectively). This study highlights the potential of paddy straw and coconut coir as sustainable, cost-effective materials for sound absorption panels. These natural materials demonstrate excellent sound-absorbing properties, making them suitable for various applications such as classrooms, sound recording rooms, auditoriums, and theaters at low to medium frequencies.

Maize is one of the staple food crops after wheat and rice crops. There is a reduction in the yield of maize due to biotic and abiotic factors. Due to more spacing in maize weeds are highly infested in the field which leads to reduced fertility of soil and sustainability. To maintain the fertility of soil and reduce the wastage of resources intercropping is the best option. By growing crops in between the rows of maize crops we can increase production and can achieve zero hunger. A field experiment was conducted at Lovely Professional University (Kharif 2022) to check the effect of black gram and French bean as intercrop in maize on weed flora, rhizospheric bacterial count, and yield parameters of maize. The experiment comprised 9 treatments i.e. Sole maize, Sole French bean and Sole black gram, Maize + French bean (1:1, 1:2, 1:3), Maize + black gram (1:1, 1:2, 1:3). Weed density and biomass recorded by quadrant 1 m2 method at 30 and 60 DAS (Days after sowing). Results of the study showed that minimum weed count of grasses (3.44, 3.26), sedges (3.13, 2.73), and BLW (Broad leaf weed) (3.26, 4.58) at 30 and 60 DAS recorded in those plots where intercropping of maize and black gram practiced in 1:3 proportion. Rhizospheric bacterial count viz. THB (total heterotrophic bacteria) (232.82), NRB (nitrate-reducing bacteria) (41.89), and NB (nitrifying bacteria) (161.86) were recorded highest in Maize + French bean 1:3 at 30 DAS. Whereas THB, NRB, and PSB (phosphate solubilizing bacteria) highest count recorded in Maize + Black gram 1:3 at 90 DAS. In the case of maize yield attributes maize + Black gram 1:2 gave the best result. Land Equivalent ratio and Maize Equivalent yield (2.23, 11671.03 kg.ha-1) were recorded maximum in those plots where Maize + Black gram 1:2 proportion was practiced. Intercropping can be used as an eco-friendly alternative to herbicides to reduce the weed population and infestation, which leads to maintaining soil fertility and enhancing sustainability.

India’s fast industrialization and population expansion have resulted in heavy metal accumulation from many operations, which has caused massive waste generation and poisoning of soils. Therefore, it is necessary to design reclamation to improve th T.Ne soil. Phytoremediation presents itself as a viable, economical, and environmentally sustainable solution to this problem. This study was carried out by using plants namely, aloe-vera (Aloe-Barbadensis), tulsi (Ocimum Tenuiflorium), and vetiver (Chrysopogon Zizanoides) plants which were planted in a simulated soil of Cd, Zn and Pb, for 4 weeks. The sample of plant and soil were taken in 9 different pots, (15 cm diameter and 25 cm height) among 9 potted soils one will be tested as a controlled sample. An aqueous solution of lead, cadmium and zinc were added separately to the dry soil samples. The moisture level of the soil was maintained to near field water capacity (35.6%) and equilibrated for two weeks. The saplings of vetiver grass, aloe vera and tulsi were selected and pruned (the shoots were originally 20 cm high and the roots 8 cm long), and then transplanted into the pots. The AAS test was conducted after 4 weeks of growing in simulated soil. Tulsi demonstrated the highest efficacy in reducing Zn concentrations from 300 mg/kg to 188.3 mg/kg, followed by vetiver (179.3 mg/kg) and Aloe vera (158.3 mg/kg). Similarly, for Pb, tulsi exhibited the most substantial reduction (from 600 mg/kg to 188.3 mg/kg), followed by vetiver (164.3 mg/kg) and Aloe vera (179.6 mg/kg). Regarding Cd, tulsi reduced concentrations from 80 mg/kg to 18.62 mg/kg, while vetiver achieved a 17.62 mg/kg reduction. The result highlights Tulsi’s superior remediation potential, attributed to its efficient heavy metal uptake and translocation mechanisms. Thus, using these plants in the phytoremediation process, the heavy metals are extracted more economically than other plants. This technique highlights the innate ability of hyper-accumulator plant species, which flourish in situations high in heavy metals, to extract contaminants from contaminated soil.

This study employs Remote Sensing (RS) and Geographic Information Systems (GIS) to delineate groundwater potential zones. Various thematic layers, including geomorphology, land use and land cover, geology, rainfall, slope, soil composition, drainage density, and the Topographic Wetness Index (TWI), were integrated using a weighted linear combination in the GIS platform’s spatial analyst tool. The Analytic Hierarchy Process (AHP) was used to assign different ranks to these layers and their sublayers. Groundwater potential zones were categorized as poor (16.54%, 96.25 km²), moderate (67.20%, 391.13 km²), and good (16.26%, 94.62 km²). Validation involved observing water levels in various wells within the study area, with the results’ reliability assessed using a Receiver Operating Characteristic (ROC) curve, demonstrating an accuracy of 88%. The study area faces rapid urbanization and industrialization, stressing the aquifer’s groundwater availability. Identifying groundwater potential zones is thus crucial for effective groundwater development and management.

Consumer health and wellness are increasingly threatened by the deteriorating state of the environment, both locally and globally. Pollution, deforestation, habitat destruction, and climate change are among the myriad environmental challenges that directly impact human well-being. From air and water pollution to the depletion of natural resources, these environmental issues have profound implications for public health, exacerbating respiratory diseases, waterborne illnesses, and other health problems. In response to these environmental challenges, consumers are becoming more environmentally conscious in their purchasing decisions. They are seeking products and services that minimize harm to the environment, promote sustainability, and contribute positively to ecological conservation efforts. This shift in consumer preferences is driving the demand for sustainable products across various industries, including food and beverages, personal care, fashion, and household goods. Sustainable product marketing plays a critical role in addressing these consumer demands while also mitigating environmental impacts. By promoting products that are ethically sourced, eco-friendly, and produced using environmentally sustainable practices, businesses can align their operations with environmental conservation goals. This involves adopting eco-friendly packaging, reducing carbon emissions throughout the supply chain, and supporting renewable energy initiatives. In the context of the current study aiming to examine consumer purchasing patterns for sustainable products in India, the results offer valuable insights into the interplay between environmental consciousness, demographic factors, and consumer behavior. By delving into these dynamics, the study sheds light on the multifaceted influences that shape consumers’ decisions regarding sustainable products.

The global population surge has escalated the demand for food production. While conventional farming meets consumer demands, it often compromises food quality and safety. This method of agriculture has significant adverse effects on health and the environment, relying heavily on chemical fertilizers, costly seeds, and machinery. Conventional farming contributes to environmental degradation, food-borne illnesses, and soil infertility. In response to these issues, organic agriculture has gained prominence worldwide. The rising demand for organic products is driven by their nutritional and environmental benefits. Numerous studies have explored the advantages and disadvantages of various farming methods, comparing organic and conventional practices. This paper reviews the emerging impacts of organic farming on the environment and climate change and examines the nutritional differences and consumer preferences for vegetables produced by these two farming methods.