The study was done on the effect of water contamination on human health. The review revealed a complex network of factors contributing to water contamination, including home sewage, industrial discharges, pesticides, plastics, and systemic management deficiencies. The study highlighted the widespread effects on human health, including skin disorders, serious illnesses like cancer and diarrheal infections, particularly affecting children. It emphasized the need for synchronized efforts to alleviate pollution sources, focusing on sustainable farming methodologies and responsible waste management. The study also explored advanced wastewater treatment techniques, highlighting the urgent need for their widespread use worldwide. However, the study acknowledged limitations, such as geographical scope and contamination origins. Recommendations included a comprehensive strategy involving sustainable behaviors, strict laws, and advanced treatment technology. The study emphasized the need for governments, companies, and communities to work together to implement strong legislation, improve infrastructure, and increase knowledge about water quality. Addressing these challenges requires a holistic approach, focusing on mitigating constraints through ongoing research, innovation, and international collaboration.

Lead (Pb), a toxic metal, causes severe health hazards to both humans and plants due to environmental pollution. Biochar addition has been efficiently utilized to enhance growth of plants as well as yield in the presence of Pb-induced stress. The present research introduces a novel use of biochar obtained from the weed Achyranthes japonica to enhance the growth of plants in Pb-contaminated soil. An experiment was performed with 7 treatments: Control, Pb²⁺ (10 mg kg^-1) only, biochar (4 %) only, allantoin (4 g kg^-1) only, biochar combined with Pb²⁺, allantoin combined with biochar, as well as a combination of allantoin and biochar with Pb²⁺. Lead toxicity alone markedly diminished plant growth metrics, including root and shoot length, biomass (wet and dry), chlorophyll concentration, and grain production. The application of biochar, allantoin, or their joint administration markedly enhanced the length of shoots (by 50.3 %, 29 %, and 70 %), length of roots (by 69 %, 50 %, and 69 %), and fresh biomass of shoots (by 5 %, 29 %, and 5 %), respectively. This enhancement is ascribed to improved soil characteristics and more efficient absorption of nutrients. The application of biochar, allantoin and their combination improved the tolerance against Pb²⁺ by increasing the total chlorophyll level by 12 %, 16 %, and 17 %, respectively, vs. the control. Likewise, these amendments significantly (p < 0.05) improved the activity of antioxidant enzymes, including SOD, POD, and CAT by 49 %, 29 %, and 49 %, respectively. The resistance towards Pb²⁺ was enhanced by biochar, allantoin, and their combined application, with lower Pb²⁺ concentrations in shoots (59.9 %, 40.1 %, and 49.8 %), roots (48.2 %, 24.1 %, and 58.3 %), and grains (60.2 %, 29.7 %, and 40.1 %) compared to solely Pb-stress, respectively. In summary, converting the weed Achyranthes japonica into biochar and integrating it with allantoin provides an eco-friendly approach to control its proliferation while efficiently alleviating Pb-induced toxicity in plants.

Mineral prospectivity mapping (MPM) is crucial for efficient mineral exploration, where prospective zones are identified in a cost-effective manner. This study focuses on generating prospectivity maps for hydrothermal polymetallic mineralization in the Feizabad area, in northeastern Iran, using unsupervised anomaly detection methods, i.e., isolation forest (IForest) and deep isolation forest (DIF) algorithms. As mineralization events are rare and complex, traditional approaches continue to encounter difficulties, despite advances in MPM. In this respect, unsupervised anomaly detection algorithms, which do not rely on ground truth samples, offer a suitable solution. Here, we compile geospatial datasets on the Feizabad area, which is known for its polymetallic mineralization showings. Fourteen evidence layers were created, based on the geology and mineralization characteristics of the area. Both the IForest and DIF algorithms were employed to identify areas with high mineralization potential. The DIF, which uses neural networks to handle non-linear relationships in high-dimensional data, outperformed the traditional decision tree-based IForest algorithm. The results, evaluated through a success rate curve, demonstrated that the DIF provided more accurate prospectivity maps, effectively capturing complex, non-linear relationships. This highlights the DIF algorithm’s suitability for MPM, offering significant advantages over the IForest algorithm. The present study concludes that the DIF algorithm, and similar unsupervised anomaly detection algorithms, are highly effective for MPM, making them valuable tools for both brownfield and greenfield exploration.

The likelihood of toxic gases occurring within a specific timeframe and location determines the likelihood of the event. The aim of this study is to review the literature on the effects of hazardous gases on human health. Hazardous gas releases can tragically occur as a result of industrial accidents, natural disasters, or terrorist attacks in inhabited regions. The literature introduces several modeling methods and approaches to both prevent and assess the effects of these disasters. These tools are invaluable resources for risk managers evaluating the risks associated with vulnerable areas. Although risk assessments for toxic gas dispersion have significantly improved, they often do not account for people's movements and behavior during emergencies. To enhance the accuracy of risk assessments for disasters involving toxic gases, this study proposes a method that considers both gas dispersion modeling and evacuation dynamics. Identifying effective methods for reducing toxic gas pollution and its adverse effects on the environment and human health is crucial. Toxic gases can harm nearly every organ and system in the body. Additionally, we discuss various corrective measures to mitigate their toxicity.

The likelihood of toxic gases occurring within a specific timeframe and location determines the likelihood of the event. The aim of this study is to review the literature on the effects of hazardous gases on human health. Hazardous gas releases can tragically occur as a result of industrial accidents, natural disasters, or terrorist attacks in inhabited regions. The literature introduces several modeling methods and approaches to both prevent and assess the effects of these disasters. These tools are invaluable resources for risk managers evaluating the risks associated with vulnerable areas. Although risk assessments for toxic gas dispersion have significantly improved, they often do not account for people's movements and behavior during emergencies. To enhance the accuracy of risk assessments for disasters involving toxic gases, this study proposes a method that considers both gas dispersion modeling and evacuation dynamics. Identifying effective methods for reducing toxic gas pollution and its adverse effects on the environment and human health is crucial. Toxic gases can harm nearly every organ and system in the body. Additionally, we discuss various corrective measures to mitigate their toxicity.