Simulation of nitrate nitrogen concentrations and DOM characteristics in groundwater from Southwest China's Karst Wetlands using an improved GMS model.

Existing models often face limitations in the understanding and prediction of nitrate nitrogen (NO-N) concentrations in karst groundwater. In this study, to tackle this issue, a Gaussian function model was coupled with the Groundwater Modeling System (GMS) to simulate NO-N concentration changes in the southwest karst wetland of China. Additionally, fluorescence spectroscopy was employed to measure dissolved organic matter (DOM) components in the groundwater, providing insights into their variation and influence on NO-N dynamics.

Transcriptomics and metabonomics reveal molecular mechanisms promoting lipid production in Haematococcus pluvialis co-mutated by atmospheric and room temperature plasma with ethanol.

Atmospheric and room temperature plasma mutation and co-mutation with ethanol were employed to generate Haematococcus pluvialis mutants AV3 and AV8. These mutants were screened using multiple indices of chlorophyll fluorescence, quantum yield, lethality, growth rate, dry cell weight, and lipid content. Compared to the wild strain, the mutants demonstrated genetic stability (*p > 0.

High-density sampling reveals the occurrence, levels and transport flux of 15 polycyclic aromatic hydrocarbons derivatives (PAHs-d) along the Yangtze River.

Polycyclic aromatic hydrocarbons derivatives (PAHs-d) have higher toxicity levels compared to its parent polycyclic aromatic hydrocarbons (PPAHs). Their partitioning in different media and large-scale transport patterns in rivers remain largely unknown. This study investigated the occurrence of 15 PAHs-d and 19 PPAHs in water and suspended particulate matter (SPM) of the Yangtze River between 2019 and 2020.

Evaluation of Trends in Influenza A and B Viruses in Wastewater and Human Surveillance Data: Insights from the 2022-2023 Season in Italy.

Wastewater-based epidemiology (WBE) is a recognized, dynamic approach to monitoring the transmission of pathogens in communities through urban wastewater. This study aimed to detect and quantify influenza A and B viruses in Italian wastewater during the 2022-2023 season (October 2022 to April 2023). A total of 298 wastewater samples were collected from 67 wastewater treatment plants (WTPs) across the country.

Investigating enhancement of protease and lysozyme combination pretreatment on hydrolysis of sludge organics under humic acid inhibition.

This study investigated the impact of humic acid (HA) on enzymatic pretreatment efficiency, focusing on sludge properties and HA molecular structure. The results showed that enzymatic pretreatment alleviates HA inhibition, improving hydrolysis efficiency. In the presence of HA, soluble proteins and polysaccharides in the enzyme-cocktail group reached 27.

Novel Sponge-Based Carbonaceous Hydrogel for a Highly Efficient Interfacial Photothermal-Driven Atmospheric Water Generator.

A high-performance atmospheric water generator based on continuous adsorption-desorption of liquid hygroscopic agents was constructed by applying interfacial photothermal evaporation technology to the field of atmospheric water harvesting. A three-dimensional carbon-containing sponge hydrogel photothermal conversion material with a porous channel structure was designed, which was prepared from melamine foam (MF) and carbon black (CB) cross-linked by sodium alginate (SA). The results showed that the evaporation rate of CB/SA@MF in pure water was 1.

[Effects of Exogenous Substances on the Remediation of Soil Contaminated by Heavy Metals and Greenhouse Gas Emissions by × and ].

The application of exogenous substances has important effects on soil greenhouse gas emissions and phytoremediation of soil contaminated by heavy metals. × and were used as remediation plants in this study. The effects of different exogenous substances on phytoremediation and greenhouse gas emissions of heavy metal-contaminated soil were studied.

Insight into groundwater quality change before and after the 2016 Kumamoto earthquake.

The Kumamoto Earthquake is named after the Kumamoto Prefecture where the series of earthquakes occurred in the city located on the island of Kyushu, in southwest Japan. In this area, 100 % of the population depends on groundwater for drinking water; hence, groundwater is an extremely important lifeline for people. The effect of earthquakes on the water quality of groundwater has been suggested based on monitoring data measured by public agencies once or twice a year.

A comprehensive machine learning-based models for predicting mixture toxicity of azole fungicides toward algae (Auxenochlorella pyrenoidosa).

Quantitative structure-activity relationships (QSARs) have been used to predict mixture toxicity. However, current research faces gaps in achieving accurate predictions of the mixture toxicity of azole fungicides. To address this gap, the application of machine learning (ML) algorithms has emerged as an effective strategy.

Dissolution and solubility of the calcium-nickel carbonate solid solutions [(CaNi)CO] at 25 °C.

A series of the calcium-nickel carbonate solid solutions [(CaNi)CO] were synthesized and their dissolution in N-degassed water (NDW) and CO-saturated water (CSW) at 25 °C was experimentally investigated. During dissolution of the synthetic solids (Ni-bearing calcite, amorphous Ca-bearing NiCO and their mixtures), the Ni-calcite and the Ca-NiCO dissolved first followed by the formation of the Ni-bearing aragonite-structure phases. After 240-300 days of dissolution in NDW, the water solutions achieved the stable Ca and Ni concentrations of 0.

Photoresponsive Luminescent Silica Nanoparticles as Additive for 3D Printing and Electrospinning.

In this study, we present the synthesis and a versatile way to incorporate photoresponsive organic luminophores into polymeric materials using mesoporous silica nanoparticles (MSNs). The encapsulated thioethers within the MSNs were employed in polyvinyl alcohol (PVA) films, resin-based stereolithography, and electrospinning. Due to light-induced cyclisation to dibenzothiophenes (DBTs), mmOC loaded materials were used to inscribe images using UV light.

The Environmental Hazards and Treatment of Ship's Domestic Sewage.

With the rapid development of the modern shipping field, the damage caused by ship pollution to the global inland waterways and marine ecosystems has attracted extensive attention from the international community. However, there are fewer reviews on the environmental hazards of domestic ship sewage and its treatment, and a systematic summary of the environmental hazards posed by ship domestic sewage and its treatment is lacking. Based on summarizing the various environmental hazards brought about by a ship's domestic sewage and the corresponding treatment methods, this study elaborates, in detail, on the specific hazards of the main toxic and hazardous substances contained in a ship's domestic sewage on the environment and organisms, and the treatment methods of the ship's domestic sewage and their treatment effects, such as membrane bioreactor (MBR).

FeO/Mulberry Stem Biochar as a Potential Amendment for Highly Arsenic-Contaminated Paddy Soil Remediation.

Magnetite-loaded biochar has recently received attention owing to its ability to remove arsenic from contaminated soil. In this study, mulberry stem biochar (MBC) and FeO-loaded mulberry stem biochar (FeO@MBC) were produced and used in a 100-day incubation experiment to investigate their performance in the stabilization of arsenic in paddy soil severely polluted by the As (237.68 mg·kg) mechanism.

Decoding the whole-genome sequence of multidrug-resistant strain Hakim RU_BHWS isolated from wastewater in Bangladesh.

This report presents the draft genome sequence of the multidrug-resistant strain Hakim RU_BHWS isolated from wastewater. The genome assembly is 4.6 Mb, with 32.

Identification of key water environmental factor contributions and spatiotemporal differential characteristics for eutrophication in Dianchi Lake.

The main influencing factors of water environment and the spatiotemporal differences of eutrophication were identified in the Dianchi Lake, the results indicated a comparatively poor and fluctuating the water environmental condition in the Caohai compared to the Waihai, and differences in the correlation between water environment indicators were observed in Caohai and Waihai. The absolute contribution rates of the inner sources to water temperature, pH, electrical conductance, total nitrogen, chlorophyll a and algal density were the largest in Caohai, while offshore sources are pH, electrical conductance, permanganate index, total phosphorus and chlorophyll a in Waihai. The eutrophication level is relatively high near the Xiyuan Suidao section, and the comprehensive trophic level indexes are 61.

CO removal from biogas improved stable treatment of low-alkalinity municipal wastewater using anaerobic membrane bioreactor.

This study addressed a less-reported issue: the insufficient alkalinity encountered when anaerobic membrane bioreactors (AnMBRs) are used to treat municipal wastewater (MWW). In the present study, a 20-L AnMBR was initiated at an MWW treatment plant. During the initial startup, a continuous decrease in pH was observed.

Algorithm for monitoring water quality parameters in optical systems based on artificial intelligence data mining.

Due to the increasingly serious water environment pollution, the difficulty of Water Quality Monitoring (abbreviated as WQM for convenience) is also constantly increasing, which puts forward more requirements for the capabilities of various aspects of WQM systems. However, the current WQM method has drawbacks such as slow speed, long monitoring time, complex operation, poor stability, and the inability to obtain accurate information on water pollution in the first time, as well as the generation of toxic and harmful secondary pollutants after some measurement parameters are tested. To address these issues and ensure water quality safety, this paper investigated the algorithm for monitoring water quality parameters using artificial intelligence data mining optical systems.

Using amino acid waste liquid as functional supplement to change microbial community in up-flow anaerobic sludge blanket treatment of methanolic wastewater.

In this study, amino acid waste liquid was employed as a functional supplement (designated as amino acid-rich FS) in the up-flow anaerobic sludge blanket (UASB) treatment of methanolic wastewater. The effect of amino acid-rich FS was evaluated through repeated batch tests, showing that a 0.5% and 1% dosage increased the maximum methane production rate by 93.

Assessment of environmental factors influencing SARS-CoV-2 in Vietnam's surface water across two years of clinical data.

Wastewater-based epidemiology (WBE) is an effective, non-invasive method for monitoring the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by tracking viral prevalence in water. This study aimed to investigate the presence of SARS-CoV-2 in surface water in Vietnam over two years. One-step quantitative reverse transcription polymerase chain reaction (qRT-PCR) assays were employed to quantify SARS-CoV-2 and its variant-specific mutation sites (G339D/E484A) and pepper mild mottle virus (PMMoV) from a total of 315 samples (105 samples per site) to compare with reported Coronavirus disease 2019 (COVID-19) cases and environmental factors.

Synchronised removal of nitrogen and sulphate from rubber industrial wastewater by coupling of Sulfammox and sulphide-driven autotrophic denitrification in anaerobic membrane bioreactor.

Global rubber industry, growing 4-6 % annually with 13.76 million Mt of rubber produced in 2019, significantly impacts the economy. This study explores coupling sulfate-dependent ammonium oxidation (Sulfammox) and sulfide-driven autotrophic denitrification (SDAD) within an anaerobic membrane bioreactor (AnMBR) to treat high-strength natural rubber wastewater.