Water quality prediction plays an important role in environmental monitoring and ecosystem sustainability in the Amazon. Therefore, this review focuses on determining the advances in the scientific production of artificial intelligence in water quality prediction in the Amazon, as well as the limitations and perspectives compared to water quality indexes (WQI). In this sense, Boolean operators were applied, using the following terms: “artificial intelligence”, “machine learning”, “water quality,” and “Amazonia” The databases were Scopus, web of Science, Springer, and IEEE. In this study, 14 scientific articles published during the period 2000-2024 focused on Amazonian countries were evaluated. Although in the Amazon low scientific production was evidenced and is led by Brazil, the highest scientific growth was for 2021, and 93% belongs to the Scopus database, with a compound annual rate of 12.16%. The IA is characterized by using data from governmental institutions and is only limited to parameters such as Total Suspended Solids (TSS), Total Organic Carbon, Turbidity, and Chlorophyll, using satellite imaging techniques, and the most commonly used algorithm was the Clustering Algorithms. In this context, AI applications are still very low in Amazonian countries compared to other European countries. Its limitations are in the accuracy and the limited amount of physicochemical and microbiological data used for predictions. However, AI is a tool that will replace the water quality indexes used manually.

Vegetable waste, particularly cabbage waste (CW), is a valuable raw material for various applications, including bioenergy production, owing to its high lignocellulosic content. However, the potential of lignin in biomass conversion remains largely untapped. This study is significant as it aims to optimize the pretreatment of CW biomass using different chemical reagents and concentrations (sulphuric acid, acetic acid, sodium hydroxide, potassium hydroxide, and sodium chloride) at 12 and 24 h for 50, 75, and 100°C. In this study, a novel pretreatment approach was introduced with 2% NaCl at 50°C for 12 h for CW biomass. At this optimized condition, 2% NaCl led to 28% delignification for CW biomass. The study examined the impact of pretreatment efficacy on biomass characterization using SEM, XRD, and FTIR analytical techniques. Results showed that 2% NaCl pretreatment significantly improved digestibility, increased surface area and porosity, altered the crystallinity index, and confirmed delignification through shifts in peaks and intensity changes. Furthermore, reduced hemicellulose and reduced lignin were noted in comparison to untreated biomass. This reassures us of the effectiveness of the pretreatment method. This promising result underscores the feasibility, economics, sustainability, and environmental friendliness of this pretreatment method. The method not only offers a cost-effective solution but also aligns with the principles of sustainability and environmental protection, thereby reassuring the researchers about its potential for various industrial applications.

At a global level, energy production is predominantly based on the use of conventional resources such as oil, coal, and gasoline; this dependence has led to adverse effects such as climate change and detrimental impacts on human health; consequently, green hydrogen emerges as a renewable energy source. This work develops and analyses the parameters of a portable hybrid system to produce green hydrogen on a small scale in a more efficient way, allowing it to be placed in rural areas to be used as an ecological fuel source. The hybrid system is divided into two stages; for energy production, a microhydraulic system was developed based on an Archimedes screw turbine, which is made up of a mechanical and electrical design, where the electricity produced is stored in a continuous energy source, which supplies the electric current to the electrodes in the alkaline electrolysis process; where a reaction occurs in the water resource to produce green hydrogen and oxygen. It was demonstrated that the turbine, when presenting a greater wetted area and slope of fall, produces a higher electrical potential, while in the electrolysis process to produce green hydrogen and oxygen, it was determined that the appropriate electrolyte to use is potassium hydroxide at 20% because it has greater electrical conductivity unlike sodium chloride and sodium hydroxide; evidencing the most efficient parameters to implement the hybrid system in rural areas to replace the conventional fuel that is used in cooking food.

Flood frequency analysis is crucial for understanding flood risks in specific regions. This study applied the Gumbel Distribution Method to analyze flood frequency using river discharge data from the Kadamaian and Wariu Rivers in Kota Belud, Sabah, Malaysia. The analysis involved data collection, parameter estimation, goodness-of-fit testing, and determination of annual recurrence intervals (ARIs). The study found that the ARIs for the Kadamaian and Wariu Rivers are 50 years and 30 years, respectively, highlighting the need for targeted flood mitigation strategies in these areas. These findings emphasize the higher flood risk in the Kadamaian River basin, necessitating more robust flood control measures compared to the Wariu River basin. The Gumbel distribution provided accurate flood frequency estimations validated by the Kolmogorov-Smirnov test and correlation coefficient (R2). The calculated ARIs offer valuable insights for flood hazard assessment and contingency planning. These findings underscore the importance of accurate flood frequency analysis in enhancing flood mitigation strategies and disaster preparedness. It is recommended that local authorities incorporate these results into flood management and urban planning initiatives.

This study presents a comprehensive statistical and meteorological investigation of the western part of Iraq, specifically focusing on the Anbar governorate. To facilitate a detailed analysis, the study area was divided into four sections corresponding to the geographical directions: north, south, east, and west. The primary objective was to evaluate the potential for solar power exploitation in this region by analyzing a wide range of physical and meteorological data. The study encompassed various parameters including solar irradiation, air temperature, and other climatic variables that influence solar power generation. The physical and meteorological data demonstrated a strong correlation in most cases, indicating a consistent trend across the study area. However, two variables— diffuse horizontal irradiation and air temperature—showed inverse trends, deviating from the general pattern. These deviations were carefully analyzed to understand their impact on solar power potential. Furthermore, the analysis revealed that regions with elevated terrains, particularly in the western and southern parts of the Anbar governorate, exhibited higher solar power gains. This finding is significant as it highlights the influence of topography on solar energy potential. The combination of statistical and meteorological data provided a robust framework for assessing the feasibility of solar power projects in the region. The results of this study indicate the promising potential for solar power generation in the Anbar governorate. The integration of statistical and meteorological analyses offers valuable insights for policymakers and stakeholders involved in renewable energy planning and development. This investigation paves the way for future research and practical applications aimed at harnessing solar energy in western Iraq.

The swift process of industrialization and urbanization in our society has resulted in a growing issue of wastewater production, which presents a substantial danger to ecosystems and human well-being. This study examines the efficacy of aquatic plants in wastewater treatment by using their innate ability to remove pollutants. Water hyacinth (Eichhornia crassipes), water lettuce (Pistia stratiotes), and duckweeds (Lemnaceae) are types of aquatic plants that have been thoroughly researched due to their capacity to cleanse domestic, industrial, agricultural, and wastewater. This study encompasses a range of studies completed from 2014 to 2024, which investigate the efficacy of different aquatic plants in eliminating contaminants and provide insights into the specific mechanisms employed by these plants. Research has revealed remarkable findings, indicating that specialist plants can eliminate pollutants, including nitrogen, phosphate, and heavy metals, with an efficiency of up to 100%. Furthermore, the incorporation of these plants into wetlands and natural purification systems has been demonstrated to enhance the purification process by stimulating increased biomass production and the absorption of noxious gases. Future research should give priority to genetically modifying plants to enhance their capacity for absorbing contaminants and to develop integrated systems for treating wastewater. In summary, this study showcases the capacity of aquatic plants to serve as a highly effective and eco-friendly substitute for wastewater treatment. Implementing phytoremediation techniques can enhance the sustainability of water management practices and aid in safeguarding our ecosystems and the health of society

Groundwater contamination near the municipal solid waste dump at the Papua New Guinea University of Technology (PNGUoT) has raised serious health concerns in the local communities. To testify to this, a research study was conducted to quantify the presence of heavy metals. Water sample analyses showed Cd levels ranging from 0.0002 to 0.02 mg.L-1, Pb from 0.00002 to 0.094 mg.L-1, and Hg from 0.0001 to 0.052 mg.L-1, all of which exceed the World Health Organization’s (WHO) safe drinking water limits. These metals are known to cause a range of health problems, including kidney disease, cancer, brain damage, and developmental delays in children. The situation calls for urgent action to safeguard the local community’s health. Immediate improvements in waste management, such as better landfill designs with systems to capture and treat leachate, are needed to prevent further contamination of groundwater. Additionally, water treatment technologies like reverse osmosis should be considered to provide safe drinking water. Regular monitoring of groundwater quality and public health education in the area are also key steps in minimizing risks. These combined efforts will help ensure safer water for the community and more responsible management of the waste disposal site.

Using algae to break down or detoxify dangerous environmental pollutants, thereby changing them into a non-hazardous condition, is known as bioremediation. Investigating the ability of the green algae Scenedesmus quadricauda (Turpin) Brébisson to break a particular polycyclic aromatic hydrocarbon (PAH) known as Benzo[a]pyrene (BaP), Under regulated laboratory circumstances and on BG11 media, the alga was cultivated and exposed to different BaP dosages (0.5, 1, and 1.5 mM). High-performance liquid chromatography (HPLC) study helped to ascertain the BaP concentration. Involving the growth curve, doubling time, photosynthetic pigments, total protein, carbohydrates, and Lipid peroxidation (Malondialdehyde MDA) levels, the research investigated various physiological and biochemical aspects. Furthermore, measured were the levels of catalase (CAT), superoxide dismutase (SOD), and reactive oxygen species (ROS). Whereas the lowest growth rate was 0.00047 on the 15th day at a concentration of 1.5 mM, the maximum growth rate (k) recorded was 0.391 on the 7th day at a concentration of 0.5 mM. Doubling time also varied from 0.00014 throughout the 15th day with 1.5 mM and from 0.1179 throughout the 7th day with 0.5 mM BaP. The results showed a definite influence of the different quantities of BaP degradation by S. quadricauda; the greatest magnitude was 40.13 throughout the 15th with 0.5 mg.L-1, while the lowest magnitude was 0 throughout the 1st day with 0.5 Mm. While the min magnitude was 0.41µg.mL-1 in 0.5 mM throughout 1st day, the max magnitude of chlorophyll-a was 18.71 (µg.mL-1) in 1.5 mM throughout the 15th day. Whereas the greatest magnitude was 9.19 µg.mL-1 in 1.5 mM throughout the 15th day, the lowest magnitude of chlorophyll b was 0.36 µg.mL-1 in 1.5 mM throughout the 1st day. While the min was 0.013 on 1st day with 1 mM, the max magnitude of ROS was 0.28 until the 15th day with 1.5 mM. With 1 mM over 1st day, the carbohydrate showed a max magnitude of 35.13 µm.mL-1, and with 1.5 mM over the 15th day, the min magnitude was 12.25(µm.mL-1). While the min protein content was 1.83 µg.mL-1 in 1.5 Mm throughout the 8th day, the max protein content was 2.14 µg.mL-1 in 1 mM throughout the 8th day; moreover, SOD fluctuated between 22.22 µg.mL-1 in 0.5 mM throughout 1st day, and 60 µg.mL-1 in as the min magnitude throughout 8th day with 1.5 mM. The results show that magnitudes of CAT fluctuated between 13.33 µg.mL-1 in the 8th and 15th mM throughout the 15th day and 73.33 µg.mL-1 in 1 mM throughout the 15th day. MDA showed the largest magnitude 59.92 µmoL.L-1 in 1.5 mM over the 1st day, while the lowest magnitude, 36.58 µmoL.L in 1 mM over the 15th day.

Pollution is a major problem for urban cities and their associated industries. The pollution caused by industries is mainly because of the burning of fossil fuels. Some of the pollutants can be controlled by plantation, but the oxides of nitrogen cannot be controlled only by planting trees. Some extra efforts are required to minimize pollution associated with the normal functioning of the shop floor of the industries concerned but not affecting its performance. The fuel that is best for industrial use is the need of the hour. In this study, zinc oxide nanoparticles are used as an additive to the rice bran blended biodiesel and analyze the combustion, performance, and emission parameters in the single-cylinder four-stroke engine water-cooled powered by diesel normally utilized in industries at a constant speed and compression ratio. The available fuel alternatives for testing consist of multiple combinations of diesel fuel and RB biodiesel, each with varying proportions. Furthermore, many gasoline mixes additionally have Zinc Oxide nanoparticles at a concentration of 30 parts per million (ppm). The findings suggest that the brake-specific fuel consumption of Rice bran biodiesel combined with Zinc oxide nano additive exhibits a consistent enhancement, but the brake thermal efficiency declines in comparison to diesel fuel. The concentrations of hydrocarbon (HC) and oxides of nitrogen (NOX) have been reduced. However, there has been a small rise in carbon dioxide (CO2) and carbon monoxide (CO). When rice bran biodiesel fuel combined with Zinc Oxide nano additive was used, an abnormally high exhaust gas temperature (EGT) was detected. According to this research, the addition of Zinc Oxide nano additive to rice bran biodiesel blends improves performance and decreases the noxious exhaust emissions generated by diesel engines.

Lead contamination poses a major threat to health and environmental well-being. The remediation of this heavy metal from water sources is essential to safeguard health and ensure access to clean water. In this study, Peanut hull was used as a biosorbent for lead (Pb) removal from water. It focuses on optimizing various parameters important for lead removal. Statistical analysis, such as the Kruskal-Wallis test, was done to assess the significance of these parameters on lead biosorption, and an inverse variance weighting technique was employed to derive the weighted contribution of each variable for fixed Pb removal categories in the range of 80-100% and 80% (below). On analysis, it was found that factors such as pH and biomass dosage played major roles in lead removal. Furthermore, Scanning Electron Microscopy (SEM) and Energy-dispersive X-ray Spectroscopy (EDS), were done to find out changes in the structural and elemental characteristics of peanut hull after lead sequestration. Overall, this study highlights the potential of peanut hull as a promising biosorbent for lead removal from water, thereby offering a sustainable solution to water contamination with heavy metals.