Micro plastic: an imperceptible threat on Agua Dulce Beach, Chorrillos District

The use of plastics in the world is increasing, but their proper final arrangement is limited. Peru made regulatory efforts to reduce its use;however, they are isolated activities that have not represented a significant change in their management. This study allows to identify the presence of microplastic on one of the busiest beaches of the city of Lima Metropolitana, during the emergency period caused by the SARS-COV-2 pandemic. To achieve the objectives of the research, it has been sampled in high tide and supra-coastal areas, applying the methodology proposed in the Ministry of the Environment's Soil Sampling Guide. This study shows the presence of microplastics, with an abundance of 43 pieces per m2, and found that the predominance of the type of microplastic found is of secondary origin (polystyrene and polypropylene);however, 20.9% correspond to primary microplastics (pellets) whose source could not be determined. Finally, it is indicated that despite restrictions on the state of emergency the number of microplastics per m2 in Agua Dulce Beach between 2019 (40 pieces) and 2020 (43 pieces) increased by 7.5%.

Coupling Machine Learning and Agent-Based Modeling to Characterize Contamination Sources in Water Distribution Systems for Changing Demand Regimes

Water distribution systems (WDSs) deliver clean, safe drinking water to consumers, providing an essential service to constituents. WDSs are increasingly at risk of contamination due to aging infrastructure and intentional acts that are possible through cyber-physical vulnerabilities. Identifying the source of a contamination event is challenging due to limited system-wide water quality monitoring and non-uniqueness present in solving inverse problems to identify source characteristics. In addition, changes in the expected demand patterns that are caused by, for example, social distancing during a pandemic, adoption of water conservation behaviors, or use of decentralized water sources can change the anticipated propagation of contaminant plumes in a network. This research develops a computational framework to characterize contamination sources using machine learning (ML) techniques and simulate water demands and human exposure to a contaminant using agent-based modeling (ABM). An ABM framework is developed to simulate demand changes during the COVID-19 pandemic. The ABM simulates population movement dynamics, transmission of COVID-19 within a community, decisions to social distance, and changes in demands that occur due to social distancing decisions. The ABM is coupled with a hydraulic simulation model, which calculates flows in the network to simulate the movement of a contaminant plume in the network for several contamination event scenarios. ML algorithms are applied to determine the location of source nodes. Research results demonstrate that ML using random forests can identify source nodes based on inline and mobile sensor data. Sensitivity analysis is conducted to explore the number of mobile sensors that are needed to accurately identify the source node. Rapidly identifying contamination source nodes can increase the speed of response to a contamination event, reducing the impact to the community and increasing the resiliency of WDSs during periods of changing demands. © World Environmental and Water Resources Congress 2023.All rights reserved

Impact of COVID-19 lockdown on water quality in China during 2020 and 2022: two case surges.

The COVID-19 severely affected the world in 2020. Taking the two outbreaks in China in 2020 and 2022 as examples, the spatiotemporal changes in surface water quality levels and CODMn and NH3-N concentrations were analyzed, and the relationships between the variations in the two pollutants and environmental and social factors were evaluated. The results showed that during the two lockdowns, due to the total water consumption (including industrial, agricultural, and domestic water) decreased, the proportion of good water quality increased by 6.22% and 4.58%, and the proportion of polluted water decreased by 6.00% and 3.98%, the quality of water environment has been improved significantly. However, the proportion of excellent water quality decreased by 6.19% after entering the unlocking period. Before the second lockdown period, the average CODMn concentration exhibited a "falling, rising, and falling" trend, while the average NH3-N concentration changed in the opposite direction. The correlation analysis revealed that the increasing trend of pollutant concentrations was positively correlated with longitude and latitude, and weakly correlated with DEM and precipitation. A slight decrease trend in NH3-N concentration was negatively correlated with the population density variation and positively correlated with the temperature variation. The relationship between the change in the number of confirmed cases in provincial regions and the change in pollutant concentrations was uncertain, with positive and negative correlations. This study demonstrates the impact of lockdowns on water quality and the possibility of improving water quality through artificial regulation, which can provide a reference basis for water environmental management.

Low-Cost, Real-Time Polymerase Chain Reaction System with Integrated RNA Extraction.

Rapid, easy-to-use, and low-cost systems for biological sample testing are important for point-of-care diagnostics and various other health applications. The recent pandemic of Coronavirus Disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) showed an urgent need to rapidly and accurately identify the genetic material of SARS-CoV-2, an enveloped ribonucleic acid (RNA) virus, in upper respiratory specimens from people. In general, sensitive testing methods require genetic material extraction from the specimen. Unfortunately, current commercially available extraction kits are expensive and involve time-consuming and laborious extraction procedures. To overcome the difficulties associated with common extraction methods, we propose a simple enzymatic assay for the nucleic acid extraction step using heat mediation to improve the polymerase chain reaction (PCR) reaction sensitivity. Our protocol was tested on Human Coronavirus 229E (HCoV-229E) as an example, which comes from the large coronaviridae family of viruses that affect birds, amphibians, and mammals, of which SARS-CoV-2 is a member. The proposed assay was performed using a low-cost, custom-made, real-time PCR system that incorporates thermal cycling and fluorescence detection. It had fully customizable reaction settings to allow versatile biological sample testing for various applications, including point-of-care medical diagnosis, food and water quality testing, and emergency health situations. Our results show that heat-mediated RNA extraction is a viable extraction method when compared to commercial extraction kits. Further, our study showed that extraction has a direct impact on purified laboratory samples of HCoV-229E, but no direct impact on infected human cells. This is clinically relevant, as it allows us to circumvent the extraction step on clinical samples when using PCR.

A QGIS plugin for BONDS project: integrating field data with geographical, remote sensing and health information

Open source Geographic Information System (GIS) have been fostering spatial data research such as Earth observation and environmental monitoring for more than 30 years. More recently, globally available geospatial information combined with web technologies are providing new environments and tools for data handling. Thus, binding the mapping and processing capabilities of traditional GIS to the accessibility and reliability of web-based data providers can bring new opportunities for research. In this paper, we built a QGIS plugin to explore the integration of different public data providers in Brazil along with field data produced by the BONDS project. The biOdiversity conservatioN with Development in Amazon wetlandS project (BONDS) proposes to develop biodiversity scenarios for the Amazonian floodplains aiming to support solutions to preserve biodiversity and ecosystem services. The use of web services enabled dynamic and fast access to several products ranging from remote sensing images, land use and land cover, territorial cartography, water quality, to COVID-19 health data, and more. © 2022 National Institute for Space Research, INPE. All rights reserved.

Effects of Covid-19 Pandemic on Surface Water Quality: A Case Study in Hong-Thai Binh River, Vietnam

The Covid-19 epidemic that appeared and broke out from the end of 2019 until now has contributed to limiting human production and emissions. As a result, the quality of the global environment tends to be good, including the water environment. The impact of the Covid-19 epidemic on the water environment has been studied by us in the Hong-Thai Binh river of Vietnam. Data at 30 water monitoring points on the Hong-Thai Binh in the period of 2018 - 2021 were used to calculate water pollution indexes including: Comprehensive Polluted Index (CPI), Organic Pollution Index (OPI) and Trace Metal Pollution Index (TPI). The results show that the average values of all three indicators CPI, OPI, TPI on the Hong-Thai Binh river in the period of during the Covid-19 (from 2020 to 2021) were higher than their values before (from 2018 to 2019). This implies that the blockade and social distancing activities implemented during Vietnam's Covid-19 epidemic have disrupted production activities and reduced the amount of waste discharged into the Hong-Thai Binh river. As a result the river water quality has been improved. To protect the water quality of the Hong-Thai Binh river in particular and the quality of the water environment in general, measures to strictly control waste sources and transform the economy from linear to circular are recommended solutions for Vietnamese government in the post-Covid-19.

Preface

International Conference on Geospatial Science for Digital Earth Observation (GSDEO 2021)The international conference on "Geospatial Science for Digital Earth Observation” (GSDEO) 2021 was successfully held on a virtual platform of Zoom on March 26th and 27th, 2021. The conference was jointly organized by the Indian Society of Remote Sensing (ISRS), Kolkata chapter, and the Department of Geography, School of Basic and Applied Sciences, Adamas University. Due to the non-predictable behaviour of the COVID-19 second wave, which imposed restrictions on organizing offline events, the GSDEO (2021) organizing committee decided to organize the conference online, instead of postponing the event.Remotely sensed data and geographic information systems have been increasingly used together for a vast range of applications, which include land use/land cover mapping, water resource management, weather forecasting, environmental monitoring, agriculture, disaster management, etc. Currently, intensive research is being carried out using remotely sensed data on the geoinformatics platform. New developments have led to dynamic advances in recent years. The objective of the international conference on Geospatial Science for Digital Earth Observation (GSDEO 2021) was to bring the scientists, academicians, and researchers, in the field of geo-environmental sciences on a common platform to exchange ideas and their recent findings related to the latest advances and applications of geospatial science. The call for papers received an enthusiastic response from the academic community, and over 100+ participants from 50+ colleges, universities, and institutions participated in the conference. In total 50+ research papers had been presented through the virtual Zoom conference platform in GSDEO 2021.The conference witnessed the presentation of research papers from diverse applied fields of geospatial sciences, which include the application of geoinformatics in geomorphology, hydrology, urban science, land use planning, climate, and environmental studies. There were four sessions namely, TS 1: Geomorphology and Hydrology, TS 2: Urban Science, TS 3: Social Sustainability and Land Use Planning, and TS 4: Climate and Environment. Each session was further subdivided, into two parts, namely Technical Session 1-A and 1-B. Each sub-session had been designed with one keynote speech and 5 oral presentations. Oral sessions were organized in two parts and offered through live and pre-recorded components based on the preference of the presenters. The presentation session was followed by a live Q&A session. The session chairs moderated the discussions. Similarly, poster sessions were organized in three parts and offered e-poster, live, and pre-recorded components. The best presenter of each sub-session received the best paper award.Dr. Prithvish Nag, Ex-Director of NATMO & Ex Surveyor General of India delivered the inaugural speech, and Dr. P. Chakrabarti, Former Chief Scientist of the DST&B, Govt. of West Bengal delivered a special lecture after the inaugural session. Eight eminent keynote speakers, Prof. S.P. Agarwal from the Indian Institute of Remote Sensing, Prof. Ashis Kumar Paul from Vidyasagar University, Prof. Soumya Kanti Ghosh from the Indian Institute of Technology, Kharagpur, Prof. L. N. Satpati from the University of Calcutta, Prof. R.B. Singh from the University of Delhi, Dr. A.K. Raha, IFS (Retd), Prof. Gerald Mills from the University College Dublin and Prof. Sugata Hazra from Jadavpur University enriched the knowledge of participants in the field of geoinformatics by their informative lectures. The presentations and discussions widely covered the various spectrums of geoinformatics and its application in monitoring natural resources like vegetation mapping, agricultural resource monitoring, forest health assessment, water, and ocean resource management, disaster management, land resource management, water and climate studies, drought vulnerability assessment, groundwater quality monitoring, accretion mapping and the use of geospatial sci nce in studying morphological, hydrological, and other biophysical characteristics of a region etc. Application of geoinformatics in predicting urban expansion, urban climate, disaster management, healthcare accessibility, anthropogenic resource monitoring, spatial-interaction mapping, and, sustainable regional planning were well-discussed topics of the conference.List of Committees, photos are available in the pdf.

Influence of COVID-19 lockdown on river water quality and assessment of environmental health in an industrialized belt of southern Western Ghats, India.

The COVID-19 pandemic and sudden lockdown have severely hampered the country's economic growth and socio-cultural activities while imparting a positive effect on the overall fitness of the environment especially air and water resources. Increased urbanization and rapid industrialization have led to rising pollution and deterioration of rivers and associated sectors such as agriculture, domestic and commercial needs. However, various available studies in different parts of the country indicate that the COVID-19 pandemic has changed the entire ecosystem. But it is noted that studies are lacking in the southern Western Ghats region of India. Therefore, the present study attempts to investigate how the continuous lockdowns affect the River Water Quality (RWQ) during lockdown (October 2020) and post-lockdown (January 2021) periods in the lower catchments (Eloor-Edayar industrialized belt) of Periyar river, Kerala state, South India. A total of thirty samples (15 samples each) were analyzed based on drinking water quality, irrigational suitability, and multivariate statistical methods to evaluate the physical and chemical status of RWQ. The results of the Water Quality Index (WQI) for assessing the drinking water suitability showed a total of 93% of samples in the excellent and good category during the lockdown, while only 47% of samples were found fit for drinking during the post-lockdown period. Irrigational suitability indices like Mg hazard, KR, PI, SAR, and Wilcox diagram revealed lockdown period samples as more suitable for irrigational activities compared to post-lockdown samples with site-specific changes. Spearman rank correlation analysis indicated EC and TDS with a strong positive correlation to Ca2+, Mg2+, Na+, K+, TH, SO42-, and Cl- during both periods as well as strong positive correlations within the alkaline earth elements (Ca2+ and Mg 2+) and alkalis (Na+ and K+). Three significant components were extracted from principal component analysis (PCA), explaining 88.89% and 96.03% of the total variance for lockdown and post-lockdown periods, respectively. Variables like DO, BOD, Ca2+, NO3-, and Cl- remained in the same component loading during both periods elucidating their natural origin in the basin. The results of health risk assessment based on US EPA represented hazard quotient and hazard index values below the acceptable limit signifying no potential noncarcinogenic risk via oral exposure except As, suggesting children as more vulnerable to the negative effects than adults. Furthermore, this study also shows rejuvenation of river health during lockdown offers ample scope to policymakers, administrators and environmentalists for deriving appropriate plans for the restoration of river health from anthropogenic stress.

Monitoring the microbiological quality of dialysis water: a case study in selected hemodialysis units in Amman, Jordan before and during COVID-19 pandemic

Water treatment systems play an essential role in dialysis therapy. The control of bacteriologi-cal water quality is vital to ensure a better quality of hemodialysis patient's life. The current study assessed the microbiological quality of the hemodialysis water system of four hemodialysis centers located in major public health centers in Amman, Jordan (Hemodialysis centers A, B, C, and D). Their water samples were collected monthly from the dialysis machine's water inlet before and during the COVID-19 pandemic between 2018 and 2021. Total heterotrophic bacterial counts (TC), detection of Pseudomonas aeruginosa, and bacterial endotoxin (BE) concentrations were examined. According to international guidelines, most of the TC and BE results were within acceptable levels. However, some points were outside the limits, in addition to Pseudomonas aeruginosa being detected as well. These data indicated that the centers studied should revise the quality control management of their hemodialysis. This research emphasizes the importance of regular monitoring, main-tenance, and development of effective water treatment systems to avoid bacterial growth and the production of biofilms, even in pandemic situations. © 2023 Desalination Publications. All rights reserved.

Preface

Climate change has led to the increase of heat exposure or natural hazard due to extreme weather. This anthropological climate change phenomenon has negatively altered the most fundamental natural resources for living organism: air, water, and soil. Air has been polluted and warming due to human activities. The quantity of freshwater keeps on depleting, while the ground water recharge intervened with chemical and biological contamination. The sustainability of soil as the natural planting media is under threat due to land use conversion and soil quality degradation. Water acidification and temperature increase have been proved to change the salinity of seawater. Those are the impact of the increasing greenhouse gas emission in the earth's atmosphere.The 8th International Conference on Climate Change (ICCC) aims to accommodate and to discuss the regional findings related the adaptation and mitigation strategies on climate change worldwide. The meaning to hold ICCC is getting more and more important. This conference can alert the creeping disaster. The contribution of all the participants, distinguished guests to this conference would make our world better and progress our scientific knowledge. Sharing the insight into the recent research and the cutting-edge technologies should enhance our ability and it might give us the breakthrough ideas on our sustainability under climate change. ICCC would be fruitful for every participant and be a great chance to approach the scientific solution for our common goals.Faculty of Agriculture of Sebelas Maret University, Surakarta, Indonesia is very proud to organize the 8th International Conference on Climate Change (ICCC). International Conference on Climate Change has been playing a significant contribution to formulate the strategies to cope with the emerged problems due to the climate change, as well as to support the sustainable development goal achievement. Sebelas Maret University has been seriously taking part to minimize the climate change impact, by promoting environment-friend programs, such as the green campus program and prohibiting the motor-vehicle to enter the campus every month. Sebelas Maret University also realizes that the responsibility of maintaining this earth should be by everyone. Each of us plays a significant contribution to minimize the global warming of this earth. That is why Faculty of Agriculture of Sebelas Maret University organize such events to discuss the findings related the earth-protection.We hope this conference will resulting into valuable recommendations in focusing and improving the natural resources management as well as improving the human's living efficiency to bring the greenhouse gas emission down. We need to produce alternative technologies as the climatic resilience strategies to overcome the key climate-change sensitive pathways, as well as to support the achievements some global goals in the Sustainable Development Goals (SDG). Accordingly, the topic of the 8th ICCC is "Environmental Management towards Sustainable Development Goals (SDGs) under the Changing Climate”.The 8th ICCC was organized by Faculty of Agriculture, Sebelas Maret University, Indonesia, in collaboration with Asian Institute of Technology, Thailand and The United Graduate School of Agricultural Sciences, Gifu University, Japan. The 8th ICCC was held at The Asian Institute of Technology Conference Center, Thailand from 17-18 November 2022. The 8th ICCC was conducted in the Hybrid method because travel restrictions are still enforced by some countries to prevent the spread of Covid-19. Besides, providing options for attending the 8th ICCC virtually is more comfortable for participants and presenters with limitedness of budgets.The 8th ICCC 2022 delivers great appreciation to Prof. Dr. Samanhudi, Dean of Faculty of Agriculture, Sebelas Maret University, Indonesia;Professor Dr. Shobhakar Dhakal, Vice President for Academic Affairs, Asian Institute of Technology, Thailand;and Prof. Dr. Ken Hiramatsu, Dean of United Graduate School of Agricultural Science, ifu University, Japan;for formal support to the conference.Gratitude presented to the invited speakers: Prof. Dr. Avishek Datta from Head of Department of Food, Agriculture, and Bioresources, Asian Institute of Technology, Thailand;Prof. Dr. Eric van Hullenbusch from Institut de Physique du Globe de Paris, France;Dr. Taku M. Saitoh from Gifu University, Japan;Dr. Jauhari Syamsiyah from Sebelas Maret University, Indonesia;and Dr. James MacGregor from Eco-Plannet, Canada.List of Committee of the 8th ICCC 202 is available in this Pdf.

Groundwater Contamination Monitoring for Pollution Measurement and Transmission Applying WQI Approaches from a Region of the Erode District, Tamilnadu, India

The present research deals with the Risk assessment of groundwater quality. 79 groundwater samples were collected from domestic and agricultural usage open and bore wells during January 2021(COVID-19 Pandemic Period). Groundwater samples were tested to determine the physicochemical parameters using standard testing procedure for the preparation of spatial distribution maps of each parameter based on the World Health Organization (WHO) standard. Multivariate statistical analysis has shown the source of groundwater pollution from secondary leaching of chemical weathering of rocks. From the Water Quality Index and bivariate plot reveals that less than 20% of the area comes under high and very high-risk zone. The types of hardness diagram showed 32.91% of the samples fall in hard brackish water as illustrated by the Piper trilinear diagram. The research outcome result shows that the least percentage of industrials effluents due to the COVID-19 pandemic, not working for all industries during lock down period.

Impact of COVID-19 Nationwide Lockdowns and Unlock Phases in India on River Water Quality of Upper Part of the Ganga River

The river water quality index (RWQI) of the upper Ganga canal has been computed to assess the effect of lockdown and unlock phases lead down by COVID-19 in India. Geospatial distribution of RWQI from January 2019 to December 2021 in the study area revealed significant impacts of lockdown on water quality. However, unlock phases (post lockdown) have deteriorated water quality since August 2020 and reached to actual conditions of the river by August 2021. To evaluate the lockdown as a management strategy to clean the river, other factors were reviewed including rainfall data, migration, and other activities. The results revealed that all the monitoring stations have improved water quality index ranging from 3 to 45 between March to June 2020. The River Ganga at Haridwar showed a two-fold improvement in the water quality index making it the highest positive impact of the lockdown, and at Rishikesh, the water quality index showed the least changes. The average decrease in RWQI has been observed to be 13 units in the year 2020 as compared to 2019 between March to June. In October 2020, RWQI has been observed to be higher as compared to the years 2019 and 2021. This is possibly due to a shift in rainfall patterns and other factors such as evapotranspiration, precipitation, and atmospheric temperature involved in river water quality control. Up to 60% reduction in average total coliforms and fecal coliforms has been observed due to the nationwide lockdown and a shift in human behavior towards cleaner and sustainable approaches. © 2023, Chulalongkorn University - Environmental Research Institute. All rights reserved.

MONITORING OF MICROBIOLOGY QUALITY RAW WATER AND REFILLED DRINKING WATER DURING COVID-19

Introduction: Riau province regency / city data for drinking water depots in 2020 show that the largest number of Pekanbaru City in Riau Province has refill drinking water depots, there are 440 depots consisting of 220 feasible depots while 227 depots are not feasible. This research was conducted in the Tampan sub-district which is the most densely populated city of Pekanbaru. The purpose of this study was to evaluate the microbiological quality standards (Coliform) for refill drinking water depot, raw water source quality standards and population well quality standards during Covid-19. Methods: This research is quantitative descriptive analytic with triangulation methods observation with laboratory tests, in-depth interviews with correspondents of depot officers and residents of drinking water wells. The test was carried out at the UPT health and environment laboratory of the Riau provincial health office. Result: Data analysis compared 7 samples with laboratory test results according to quality standards. The results of the analysis stated that there were no Coliform bacteria in the tested samples. The source of raw water from housing will have better standard of quality the deeper it is. Conclusion: There is no periodic supervision from the health office / Puskesmas to drinking water depot during the Covid-19 period which is usually routinely carried out every 3-6 months according to regulation of ministers of health no.736,2010 concerning supervision of drinking water quality. Housing developers are required to provide a clean water source from a proper borehole from the start of housing development. © 2022 IJPH.

Managing Building Water Disruptions in a Post-COVID World: Water Quality and Safety Risk Assessment Tool for Academic Institutions and School Settings

Fluctuating building occupancy during the COVID-19 pandemic contributed to poor water quality and safety conditions in building water distribution systems (BWDSs). Natural disasters, man-made events, or academic institutional calendars (i.e., semesters or holiday breaks) can disrupt building occupant water usage, which typically increases water age within a BWDS. High water age, in turn, is known to propagate poor water quality and safety conditions, which potentially exposes building occupants to waterborne pathogens (e.g., Legionella) associated with respiratory disease or hazardous chemicals (e.g., lead). Other influencing factors are green building design and municipal water supply changes. Regardless of the cause, an increasing number of water management policies require building owners to improve building water management practices. The present study developed a Water Quality and Safety Risk Assessment (WQSRA) tool to address gaps in building water management for academic institutions and school settings. The tool is intended to assist with future implementation of water management programs as the result of pending policies for the built environment. The WQSRA was modeled after water management practices created for controlling water contaminants in healthcare facilities. Yet, a novel WQSRA tool was adapted specifically for educational settings to allow building owners to evaluate risk from water hazards to determine an appropriate level of risk mitigation measures for implementation. An exemplar WQSRA tool is presented for safety, facility, industrial hygiene, and allied professionals to address current gaps in building water management programs. Academic institutions and school settings should examine the WQSRA tool and formulate an organization-specific policy to determine implementation before, during, and after building water-disruptive events associated with natural or man-made disasters.

COVID-19 Lockdown Effects on a Highly Contaminated Coastal Site: The Mar Piccolo Basin of Taranto

The COVID-19 pandemic has had a dramatic socio-economic impact on mankind;however, the COVID-19 lockdown brought a drastic reduction of anthropic impacts on the environment worldwide, including the marine–coastal system. This study is concentrated on the Mar Piccolo basin of Taranto, a complex marine ecosystem model that is important in terms of ecological, social, and economic activities. Although many numerical studies have been conducted to investigate the features of the water fluxes in the Mar Piccolo basin, this is the first study conducted in order to link meteo-oceanographic conditions, water quality, and potential reduction of anthropic inputs. In particular, we used the model results in order to study the response of the Mar Piccolo basin to a drastic reduction in the leakage of heavy metal IPAs from industrial discharges during the two months of the mandated nationwide lockdown. The results show the different behavior of the two sub-basins of Mar Piccolo, showing the different times necessary for a reduction in the concentrations of heavy metals even after a total stop in the leakage of heavy metal IPAs. The results highlight the high sensitivity of the basin to environmental problems and the different times necessary for the renewal of the water in both sub-basins. © 2023 by the authors.

Assessing lake water quality during COVID-19 era using geospatial techniques and artificial neural network model.

The present study evaluates the impact of the COVID-19 lockdown on the water quality of a tropical lake (East Kolkata Wetland or EKW, India) along with seasonal change using Landsat 8 and 9 images of the Google Earth Engine (GEE) cloud computing platform. The research focuses on detecting, monitoring, and predicting water quality in the EKW region using eight parameters-normalized suspended material index (NSMI), suspended particular matter (SPM), total phosphorus (TP), electrical conductivity (EC), chlorophyll-α, floating algae index (FAI), turbidity, Secchi disk depth (SDD), and two water quality indices such as Carlson tropic state index (CTSI) and entropy­weighted water quality index (EWQI). The results demonstrate that SPM, turbidity, EC, TP, and SDD improved while the FAI and chlorophyll-α increased during the lockdown period due to the stagnation of water as well as a reduction in industrial and anthropogenic pollution. Moreover, the prediction of EWQI using an artificial neural network indicates that the overall water quality will improve more if the lockdown period is sustained for another 3 years. The outcomes of the study will help the stakeholders develop effective regulations and strategies for the timely restoration of lake water quality.

Recycling of Anti-COVID-19 Filtering Facepiece Respirators for Use as Preliminary Water Filters.

Although the United Nations has set sustainable management of water as an important worldwide goal, methods to supply clean water to underdeveloped countries are generally lacking. The ongoing COVID-19 pandemic as increased the worldwide use of filtering facepiece respirators (FFRs), resulting in enormous amounts of plastic waste. The present study tested whether FFRs could be recycled for use as preliminary water filters. Filtering of contaminated water with FFRs significantly reduced its turbidity, as well as concentrations of total organic carbon and major pollutants such as P, K, Mg, and Fe. Most of the filtered samples satisfied the drinking water quality standards of the World Health Organization. The additional use of FFRs decontamination process with hydrogen peroxide or ultraviolet germicidal irradiation, and sterilization with water purification tablets can eliminate disease-causing microorganisms and further reduce turbidity that would make water suitable for drinking. Recycling anti-COVID-19 FFRs for use as preliminary water filters is an effective and sustainable method for solving both drinking water problems and waste due to FFRs. Supplementary Information: The online version contains supplementary material available at 10.1007/s41742-023-00526-w.

Image Processing and IoT-based Fish Diseases Identification and Fish Tank Monitoring System

Every person has their way of relaxing and having fun. The most well-liked approach to do it is to own a pet. When most individuals work from home and anxiety levels are high, people have certain restrictions on going outdoors and engaging in activities due to the existing COVID scenario. Consequently, we developed a product called AquaScanner. The problems that come with the aquarium environment can all be handled by our product. Our product primarily consists of an application that can regulate and monitor aquarium tanks by regulating feeding routines, fish disease detection, and water quality monitoring. The AquaScanner focuses on recognizing two significant illnesses, Fin Rot and Fungi bacteria, under the heading of disease identification. Additionally, the product will recommend treatments for the illness and provide two distinct methods for feeding the fish manually and automatically through the application. The AquaScanner can regulate feeding operations. Also, AquaScanner can independently monitor all key water parameters as part of the water quality measurement system. A user-friendly interface connects these three key elements. Owners of aquariums may manage and keep an eye on their beloved aquariums from anywhere in the world. © 2022 IEEE.

PREVENTIVNE MJERE KONTROLE Legionella U VODOOPSKRBNIM SUSTAVIMA TIJEKOM EPIDEMIJE

U ovom su članku opisane i sažete strategije i mjere koje bi se trebale primjenjivati u Hrvatskoj u svrhu sprječavanja kontaminacije vodoopskrbnih sustava pojedinih ustanova bakterijom Legionella tijekom pandemije COVID-19. Kolonizacija bakterije Legionella u vodovodnim instalacijama povećava rizik od zaraze ljudi, stoga je važno istaknuti da je ovaj problem javnog zdravstva još veći tijekom drugih epidemija. Legionella može uzrokovati vrlo ozbiljne vrste upale pluća, tzv. legionarsku bolest i manje opasnu pontijačku groznicu. Hrvatska će u svoje zakonodavstvo implementirati izmjenjenu EU Direktivu 2020/2184 o kvaliteti vode za ljudsku potrošnju koja po prvi put uključuje obvezu procjene rizika od bakterije Legionella. To bi trebalo pridonijeti u smanjenju zdravstvenih rizika ili komplikacija respiratornih infekcija (teške upale pluća) i smrtnosti tijekom drugih epidemija (COVID-19 ili sl.).Alternate abstract:This paper describes and summarizes the strategies and measures that should be applied in Croatia toprevent Legionella contamination in drinking water systems in buildings during the COVID-19 epidemic. Legionellacolonisation in drinking water installations increases the risk of infection for humans and it is important to pointout that this public health problem is even greater during other epidemics. Legionella can cause very severe typesof pneumonia called Legionnaires' disease and less serious illness Pontiac fever. Therefore, Croatia will implementthe new EU Directive 2020/2184 on the quality of water intended for human consumption into its legislation, whichfor the first time includes an obligation to assess the risk of Legionella.This should help reduce the health risk orcomplications of respiratory infections (severe pneumonia) and mortality during other epidemics (COVID-19 andsimilar).Alternate abstract:In diesem Beitrag werden die Strategien und Maßnahmen beschrieben undzusammengefasst, die in Kroatien angewendet werden sollen zum Zwecke der Vorbeugung der Kontamination vonWasserversorgungssystemen verschiedener Institutionen mit Legionella-Bakterien während der COVID-19-Pandemie.Die Ansiedlung von Legionella-Bakterien in Wasserinstallationen erhöht das Infektionsrisiko beim Menschen,deswegen ist es wichtig darauf hinzuweisen, dass dieses Problem des öffentlichen Gesundheitswesens noch größerwährend anderer Epidemien ist. Legionellen können sehr schwere Arten von Lungenentzündungen verursachen, diesgn. Legionärskrankheit und das weniger gefährliche Pontiac-Fieber. Kroatien wird durch seine Gesetze die Richtlinie(EU) 2020/2184 über die Qualität von Wasser für den menschlichen Gebrauch umsetzen, die zum ersten Mal dieAnforderung der Risikobewertung eines Versorgungssystems in Bezug auf Legionellen enthält. Das sollte helfen,die Gesundheitsrisiken oder Komplikationen von Atemweginfektionen (schwere Lungenentzündungen)sowie dieSterblichkeit während anderer Epidemien (COVID-19 und ähnliche) zu reduzieren.

Preventive measures for managing Legionella in drinking water systems during epidemics

This paper describes and summarizes the strategies and measures that should be applied in Croatia to prevent Legionella contamination in drinking water systems in buildings during the COVID-19 epidemic. Legionella colonisation in drinking water installations increases the risk of infection for humans and it is important to point out that this public health problem is even greater during other epidemics. Legionella can cause very severe types of pneumonia called Legionnaires' disease and less serious illness Pontiac fever. Therefore, Croatia will implement the new EU Directive 2020/2184 on the quality of water intended for human consumption into its legislation, which for the first time includes an obligation to assess the risk of Legionella. This should help reduce the health risk or complications of respiratory infections (severe pneumonia) and mortality during other epidemics (COVID-19 and similar).