Current Opinion in Environmental Science and Health最新文献_第6页

Tracing the footprints of contaminants in water environment through the application of stable isotopic systematics 应用稳定同位素系统学追踪水环境中污染物的足迹

IF 6.7

Current Opinion in Environmental Science and Health Pub Date : 2024-05-31 DOI: 10.1016/j.coesh.2024.100559

Tirumalesh Keesari

引用次数: 0

Groundwater contamination and health risk assessment in Indian subcontinent: A geospatial approach 印度次大陆地下水污染与健康风险评估：地理空间方法

Current Opinion in Environmental Science and Health Pub Date : 2024-05-07 DOI: 10.1016/j.coesh.2024.100555

Ajay Kumar Taloor , Swati Sharma , Sukanya Suryakiran , Ravi Sharma , Meenakshi Sharma

{"title":"Groundwater contamination and health risk assessment in Indian subcontinent: A geospatial approach","authors":"Ajay Kumar Taloor , Swati Sharma , Sukanya Suryakiran , Ravi Sharma , Meenakshi Sharma","doi":"10.1016/j.coesh.2024.100555","DOIUrl":"10.1016/j.coesh.2024.100555","url":null,"abstract":"<div><p>This abstract highlights the significant issue of groundwater contamination and its direct influence on human health, in the Indian subcontinent (ISC). Groundwater serves as a crucial source of drinking water for about half of the global population, with approximately 2.5 billion individuals depends on groundwater for their routine water needs. Studying groundwater contamination and health risks through a geospatial approach is crucial due to dense population reliance on groundwater, significant public health concerns, environmental impacts, economic implications, and the need for informed policy and planning. Geospatial techniques enable better visualization and analysis of contamination patterns, aiding in targeted interventions and sustainable management strategies amidst challenges like climate change. In arid regions with limited water resources, the degradation of water quality and the occurrence of metal contaminants in groundwater pose serious threats. The review focuses on groundwater contamination and health perils allied with specific elements like arsenic, nitrate, and fluoride. It sheds light on the pollution of groundwater in the ISC rendering it unsuitable for diverse purposes. It anticipated causing significant harm to human health, life, and vegetation. This comprehensive review aims to contribute to the understanding of the magnitude of groundwater contamination in the ISC and the potential consequences for both the environment and human well-being.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"39 ","pages":"Article 100555"},"PeriodicalIF":0.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141024950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of machine learning in delineating groundwater contamination at present times and in climate change scenarios 机器学习在当前和气候变化情景下地下水污染划定中的应用

Current Opinion in Environmental Science and Health Pub Date : 2024-05-04 DOI: 10.1016/j.coesh.2024.100554

Tridip Bhowmik , Soumyajit Sarkar , Somdipta Sen , Abhijit Mukherjee

{"title":"Application of machine learning in delineating groundwater contamination at present times and in climate change scenarios","authors":"Tridip Bhowmik , Soumyajit Sarkar , Somdipta Sen , Abhijit Mukherjee","doi":"10.1016/j.coesh.2024.100554","DOIUrl":"10.1016/j.coesh.2024.100554","url":null,"abstract":"<div><p>Rapidly deteriorating groundwater quality due to geogenic and anthropogenic causes has impacted the lives of millions of groundwater-dependent population globally. The situation necessitates the requirement for monitoring of groundwater resources. This brief review summarizes the use of machine learning (ML) to predict groundwater contaminants across the world. Proper functioning of these model relies heavily on the quality of the data and the selection of features. Among the various ML models reviewed, tree based model, specifically random forest (RF), have provided more accurate predictions and are extensively used. Comprehending the factors that dictate the concentration of these contaminants in groundwater is imperative in developing robust prediction models. Furthermore it is essential to evaluate the limitations and uncertainties of these ML models in harnessing their true potential. The present study provide valuable insights that can be utilized to strategize and implement mitigation approaches to protect groundwater reserves from pollutants.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"39 ","pages":"Article 100554"},"PeriodicalIF":0.0,"publicationDate":"2024-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141046632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Post-COVID-19 pandemic perspectives on the need for wastewater surveillance of pathogenic microorganisms, antibiotics, and antimicrobial resistance in South Asia 从 COVID-19 大流行后的角度看南亚病原微生物、抗生素和抗菌药耐药性废水监测的必要性

Current Opinion in Environmental Science and Health Pub Date : 2024-04-20 DOI: 10.1016/j.coesh.2024.100553

Paromita Chakraborty , Nihal Mohamed , Sancho Rajan , Magdalena Urbaniak , Anuppama Suresh , Soudip Saha , Mukesh Pasupuleti , Emadul Islam , P.G. Vinod , Muhammad Zaffar Hashmi

{"title":"Post-COVID-19 pandemic perspectives on the need for wastewater surveillance of pathogenic microorganisms, antibiotics, and antimicrobial resistance in South Asia","authors":"Paromita Chakraborty , Nihal Mohamed , Sancho Rajan , Magdalena Urbaniak , Anuppama Suresh , Soudip Saha , Mukesh Pasupuleti , Emadul Islam , P.G. Vinod , Muhammad Zaffar Hashmi","doi":"10.1016/j.coesh.2024.100553","DOIUrl":"10.1016/j.coesh.2024.100553","url":null,"abstract":"<div><p>After the COVID-19 pandemic, antimicrobial determinants, and human pathogens are of deeper concern since they can pose a serious threat on public health. Given the high population density and threats of untreated wastewater, South Asian countries might face a potential health risk due to antimicrobial resistance (AMR). Hence, in this review, we are providing insights into how wastewater serves as a crucial conduit for loading pathogenic microorganisms, antibiotics, and antimicrobial resistance genes (ARGs) in a given catchment. We recommend that countries lacking community-level data, particularly on AMR, use wastewater surveillance (WS) to predict the future waves of any epidemic/pandemic and understand the situation of AMR via environmental pathways. Moreover, WS can be used as a cost-effective technique to monitor health conditions even for marginal-income communities in developing countries lacking access to clean water, sanitation, and health facilities.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"39 ","pages":"Article 100553"},"PeriodicalIF":0.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140784327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasensitive detection of emerging water contaminants using surface enhanced Raman scattering technique: Recent advancement, challenges, and future prospects 利用表面增强拉曼散射技术对新出现的水污染物进行超灵敏检测：最新进展、挑战和未来展望

Current Opinion in Environmental Science and Health Pub Date : 2024-04-09 DOI: 10.1016/j.coesh.2024.100552

Jai Prakash

引用次数: 0

COVID-19 in environment: Treatment, Infectivity, Monitoring, Estimation (TIME) 环境中的 COVID-19：治疗、感染性、监测、估计（TIME）

Current Opinion in Environmental Science and Health Pub Date : 2024-03-30 DOI: 10.1016/j.coesh.2024.100551

Manish Kumar, Ryo Honda, Daniel Snow, Payal Mazumder, Prosun Bhattacharya

{"title":"COVID-19 in environment: Treatment, Infectivity, Monitoring, Estimation (TIME)","authors":"Manish Kumar, Ryo Honda, Daniel Snow, Payal Mazumder, Prosun Bhattacharya","doi":"10.1016/j.coesh.2024.100551","DOIUrl":"10.1016/j.coesh.2024.100551","url":null,"abstract":"<div><p>The Virtual Special Issue (VSI) entitled “COVID-19 in Environment: Treatment, Infectivity, Monitoring, Estimation (TIME)” mainly brings together the different themes and perspectives related to wastewater epidemiology related to COVID-19. The issue further concentrates on the idea of the very much required scientific studies of the wastewater containing the SARS-CoV RNA; its contagious attributes if any; and the very important possibility of estimation and monitoring of patients based on the wastewater epidemiology. We have brought global perspectives related to the most suitable estimations methods based on SARS-COV-RNA data and development of an approach combining wastewater epidemiology and clinical diagnostic test could facilitate surveillance of public health system for informed decision making for better and effective treatment methods on one platform, thereby facilitating the expansion of the reach of these ideas and their audience. This VSI is going to act as an interface for microbiologists, environmental engineers, data scientists, civil engineers, remote-sensing experts, and modelers to integrate their findings on the aforementioned topics to etch out the probability of relative environmental risks and human health challenges. It has undergone an open call for papers and a rigorous peer-review process, where each submission has been evaluated by a panel of experts. In total, twenty-two articles could pass the test of external referees that represent the ongoing research and development activities in the topical research area of COVID-19 wastewater surveillance.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"39 ","pages":"Article 100551"},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140407815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The presence of pharmaceuticals and caffeine in water, as well as the methods used to eliminate them 水中含有的药物和咖啡因，以及消除它们的方法

Current Opinion in Environmental Science and Health Pub Date : 2024-03-29 DOI: 10.1016/j.coesh.2024.100550

Ana Carla Coleone de Cravalho , Wanderley da Silva Paganini , Kamila de Almeida Piai , Miriam Moreira Bocchiglieri

引用次数: 0

Upgrading water treatment trains to comply with the disinfection by-products standards introduced by the Directive (EU) 2020/2184 升级水处理列车，以符合（欧盟）2020/2184 号指令引入的 DBPs 标准

Current Opinion in Environmental Science and Health Pub Date : 2024-03-12 DOI: 10.1016/j.coesh.2024.100547

Meritxell Valenti-Quiroga , Maria José Farré , Paolo Roccaro

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Editorial: Nature-based solutions for ecosystem restoration 社论：基于自然的生态系统恢复解决方案

Current Opinion in Environmental Science and Health Pub Date : 2024-03-01 DOI: 10.1016/j.coesh.2024.100546

Paulo Pereira, Carla S.S. Ferreira, Wenwu Zhao

引用次数: 0

A mini-review on nano-enabled solutions for wastewater treatment: Addressing disinfection by-products 纳米废水处理解决方案微型综述：解决消毒副产品问题

Current Opinion in Environmental Science and Health Pub Date : 2024-02-20 DOI: 10.1016/j.coesh.2024.100545

Esmaeil Allahkarami , Ebrahim Allahkarami

{"title":"A mini-review on nano-enabled solutions for wastewater treatment: Addressing disinfection by-products","authors":"Esmaeil Allahkarami , Ebrahim Allahkarami","doi":"10.1016/j.coesh.2024.100545","DOIUrl":"https://doi.org/10.1016/j.coesh.2024.100545","url":null,"abstract":"<div><p>The sustainability of human life is intricately tied to a dependable supply of clean water, yet persistent anthropogenic activities have resulted in water contamination. This review focuses on health risks associated with disinfection byproducts (DBPs) in drinking water, emanating primarily from treated wastewater. Emerging nitrogenous, carbonaceous DBPs, and iodine-containing species present health concerns, but regulations predominantly target conventional DBPs. The application of nanotechnology in wastewater treatment holds promise for both enhanced treatment efficiency and potential energy savings. Nanotechnology offers a transformative solution, displaying efficacy in addressing DBP challenges. Applications in adsorption, membrane filtration, and catalytic degradation underscore nanomaterial versatility, holding promise for revolutionizing water treatment. Nanoparticles exhibit remarkable adsorption efficiency, membrane filtration benefits from modified membranes, and catalytic degradation processes employing nanoparticles show promise. This paper provides a concise summary of nanotechnology's application in the removal of DBPs from water, serving as a reference for scientists and environmental experts.</p></div>","PeriodicalId":52296,"journal":{"name":"Current Opinion in Environmental Science and Health","volume":"38 ","pages":"Article 100545"},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140031208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0