Water Supply Research Articles

Electrocatalytic arsenic removal: Unveiling selective capturing and conversion with a redox-active silica-lignosulfonate hybrid framework

Addressing the global challenge of arsenic groundwater pollution to ensure a safe water supply is crucial. Thus, we developed a versatile ferrocene (Fc) incorporated silica-lignosulphonate nano framework (Fc–Si–LS). This framework was precisely designed to target and transform the toxic arsenite (As+3) into a controllable form of arsenic (As+5). Results revealed that the unique Fc–Si–LS framework had significantly targeted As+3 and showed an impressive selective conversion (84 %) performance even at high concentrations (1 mM). Additionally, in real water application (As = 150 μg/L), the As+3 conversion rate remained effective (∼81.6 %). Remarkably, the synergy between Fc and Si–LS resulted in an exceptional adsorption capacity (106 mg/g) at 1.2 V, attaining a low energy consumption of only 0.072 kWh/m3. DFT simulations established a phenomenon that simultaneous selective capturing and conversion of arsenic requires a redox moiety integration on the catalyst surface to accept electrons from the selectively trapped As+3 to the electrode. Hence, this study highlighted the potential of precisely persuading Si–LS based redox-active nano frameworks in evolving energy effective solutions for arsenic removal from drinking water, thereby offering significant implications for sustainable water treatment technologies.

Assessing performance of water supply operation of water companies in China: A union dynamic multi-activity network data envelopment analysis

Urban growth and the increasing urban water demand highlight the importance of performance analysis in the water supply industry. Both water supply companies (WSCs) and water supply and sewage companies (WSSCs) produce and deliver potable water for city dwellers. Water authorities use benchmarks to monitor the two types of companies’ operations. The internal operation process and heterogeneities of observations were not considered for relative performance evaluation by conventional DEA models. To overcome these limitations, this study proposes a union dynamic multi-activity network data envelopment analysis (DMANDEA) model to extend static network DEA to a more general case for dynamic efficiency assessment of the water supply operations of water companies. For the first time, the model allows for the decomposition of the water supply operation into water production (WP) and water consumption (WC) substages and performance comparisons for water companies by considering their heterogeneity simultaneously. Specifically, by using a non-radial directional distance function (DDF), the inefficiencies for substages and the entire system can be both assessed dynamically. This model is applied to a sample of 246 water companies in China in 2016–2018. The overall, period, and substages’ group efficiencies, meta efficiency, and technology gap ratio (TGR) for 179 WSCs and 67 WSSCs are all provided. The empirical results reveal that: (1) the average group efficiencies of WSCs and WSSCs are 0.4567 and 0.6611, respectively. The meta efficiencies of WSCs and WSSCs are 0.4523 and 0.4703, respectively. The TGR of WSCs (0.994) is greater than that of WSSCs (0.7067). (2) WSSCs perform better than WSCs do, which suggests that economies of scope do exist in WSSCs. However, WSCs possess the best technology for water supply operations because of their high TGR. (3) The average meta efficiency for all the observed water companies (0.4572) is not optimistic, which correlates more with inefficiency in the WP stage. The causes stem from the natural monopoly, lack of competition, and relatively lower water tariffs. The Chinese water supply industry requires diversification of ownership and operation modes, and gradual increases in water tariffs. (4) Water companies in the eastern region outperform those in other regions. Regional cooperation, such as technology sharing, the transfer of managerial experience, and information exchange, needs to be emphasized.

Water provision benefits from karst ecosystems: An example for Watuputih groundwater basin, North Kendeng Mountain, Indonesia

Karst ecosystems offer a wealth of ecosystem services, but their protection is increasingly challenging due to degradation and land-use conversion, including limestone mining. This study investigates the water provision service derived from karst ecosystems threatened by limestone mining in the Watuputih groundwater basin, Central Java, Indonesia. Water supply was quantified by measuring water discharge rates from major springs around the basin. Water usage was quantified for household consumption, agriculture, and recreation. This study also measured water infiltration rates in mining and non-mining areas to indicate the effects of limestone mining to hydrological processes. This study identified three primary springs around the basin: Sumber Seribu spring, Brubulan spring, and Kalutan spring, with discharge rates of 1,080 liters per second, 85 liters per second, and 0.76 liters per second, respectively. A local water company extracts water from Sumber Seribu spring at a rate of 80 liters per second to supply approximately 57,600 individuals. The water supply from the three springs can irrigate approximately 1,594 hectares of rice fields. Water from Sumber Seribu spring also supports recreational activities in Sumber Semen recreation park, attracting an average of 19,173 visitors per year. This study revealed a complete impairment of soil's water infiltration capacity in limestone mining areas. These findings underscore the pressing need to safeguard the Watuputih groundwater basin and to mitigate the detrimental effects of limestone mining on hydrological processes. This involves designating the Watuputih karst ecosystem as a protected area, implementing Payment for Ecosystem Services (PES) programs, and restoring degraded post-mining sites.

Availability Problem of Drinking Water in an Urban Area - Effects of Family Size and Monthly Income: An Empirical Study

The availability of water is a major problem faced by the urban masses and policy makers. Bridging the gap between the demand for and supply of water is a major policy decision confronted by the urban authorities. The ever-increasing urban population and shift in occupational structure results in the increased demand which confronts with lagging supply of water which needs immediate policy attention. The present study is based on the survey of households in urban areas who have piped water connections in their homes. 600 households were selected at random from the total connections available. The data is analysed using the x2 test. The present study aims at examining the relation between size of the family and income of the respondents with that of severity of availability problem of water and comes to the conclusion that severity problem is not connected with the size of the family size but it is connected with the family income of the consumers.

Sensitivity of snow magnitude and duration to hydrology model parameters

Process-based hydrology models are critical for understanding streamflow and water supply under global change. However, these models require parameterization which introduces additional uncertainty into the models. The role that these parameters play in driving uncertainty is under-studied, especially for intermediary processes outside of streamflow. An important example in snowmelt dominant regions are intermediary processes related to snowpack accumulation and ablation. We examine the sensitivity of snow magnitude and duration to eleven parameters relevant to snow processes in the coupled crop-hydrology model VIC-CropSyst using a hybrid global–local Distributed Evaluation of Local Sensitivity Analysis approach. With the Pacific Northwest US as a case study, our specific research questions are: (a) What is the sensitivity response of peak snow water equivalent (SWE) and snow duration and how does it vary in the parameter space? (b) What are the key drivers of the sensitivity response? and (c) Which of the most sensitive parameters can we immediately improve by leveraging existing data products? Both target variables were sensitive to less than four of the eleven parameters. We found that peak SWE was most sensitive to either the precipitation partitioning temperature threshold or the albedo of new snow, depending on the geography and associated interplay between hydro-meteorological factors. In contrast, snow duration was primarily sensitive to the albedo of new snow and the albedo decay coefficient during snowmelt. Machine learning explainability workflows applied on the sensitivity response explained the model behavior and determined key geographic and hydro-meteorological drivers of the sensitivity response. Regions where the significant precipitation co-occurred with near-freezing temperature exhibited higher sensitivity of peak SWE to precipitation partitioning. In contrast, much colder high-elevation regions that have a delayed snowmelt-driven runoff when downward shortwave radiation is higher, displayed more sensitivity to albedo parameters. We also noted differences in the list of key parameters and in the level of sensitivity between our work and the limited comparable existing work. This highlights the need for comprehensive sensitivity analysis of snow metrics to become a routine component of hydrology model application studies in addition to streamflow. This is critical for us to better understand model behavior, identify key model parameters that can benefit from more dynamic representation in the models, and strategically improve models to best support decision-makers.

Optimization Analysis of Water Supply Mode for Fire Protection System of Super High Rise Building

Abstract In order to improve the applicability and reliability of the fire water supply capacity of super high-rise buildings, the fluid analysis software Flomaster was used for simulation. Through the existing pumps, valves, pipelines, pressure reducing valves and newly developed fire hydrants and other components, the fire water supply system of super high-rise buildings is modeled. The pressure distribution of the system pipe network under a given fire water supply mode is studied. The research shows that the simulation can analyze whether there is excessive pressure in the fire hydrant system under different flow conditions in the actual fire extinguishing process. This paper simulates the actual fire extinguishing process of the fire hydrant system through a specific engineering case. The pressure distribution and flow distribution under different flow conditions are obtained. The excessive pressure position of the fire pipe network system under the given fire pump model is obtained. It provides a method for guiding the selection of fire pump and the design of fire hydrant system pipe network. It has certain guiding significance for the subsequent optimization of the design scheme of the fire water supply network and the prediction of the performance of the R&D equipment.

An integrated approach for managing reservoir sedimentation, sediment transport and water supply: the case of Disueri dam, Italy

An integrated approach for managing reservoir sedimentation, sediment transport and water supply: the case of Disueri dam, Italy

MODERNIZATION OF THE WATER PURIFICATION SYSTEM FOR SEWAGE TREATMENT PLANTS USING SCHNEIDER ELECTRIC EQUIPMENT

Currently, the issue of modernization of outdated automatic control systems at strategically important infrastructure facilities of the city, such as water supply and water treatment, is urgent. Using modern automation equipment allows for improving the environmental situation and increasing the reliability of technological processes. This article discusses the development of a new automated system for the biological treatment facility of the Almaty Su sewage treatment plant to replace the outdated current automation. A control system for air conditioning machines, based on Schneider Electric equipment, has been developed using EcoStructure Control Expert software to manage the Modicon M340 controller. Additionally, using EcoStructure Machine Expert, a control system has been created for air injection machines during the biological cleaning phase, which uses the Modicon M241 controller.A process control mnemonic circuit was designed to switch between Modicon M340 and M241 controllers. Remote I/O architectures were developed using the Architecture Builder to create network configurations. An emergency protection system was implemented on Honeywell equipment at Kazakh-British Technical University (KBTU) JSC, using Safety Controller and Manager tools. Security levels at SIL enterprises were calculated.

Data-driven forecasting framework for daily reservoir inflow time series considering the flood peaks based on multi-head attention mechanism

Accurate and reliable daily reservoir inflow forecast plays an essential role in several applications involving the management and planning of water resources, such as hydroelectric generation, flood control, water supply, and basin ecological dispatching. Runoff usually exhibits strong non-linearity, high uncertainty, and spatial and temporal variability. Existing techniques fail to capture complete dynamics change processes effectively. A data-driven forecasting framework for daily reservoir inflow time series considering the flood peaks based on a multi-head attention mechanism was developed, referred to as the GWOCS-VMD-CNN-Transformer (GCVCT). First, the model utilize Grey Wolf Optimizer coupled with Cuckoo Search (GWO-CS) algorithms to optimize parameters in variational mode decomposition model (VMD). This approach helps obtain highly correlated intrinsic mode function (IMF) components, enhancing the frequency resolution of the input dataset. The proposed method overcomes the bottleneck of other available methods by decomposing the time series to capture the main long-term and short-term properties of hydrological processes. Second, the convolution neural network and Transformer (CNN-Transformer) are based on a multi-head attention mechanism as the objective predictive method. Finally, six evaluation indicators verify the performance of the proposed approach. The approach’s reliability was evaluated using the historical daily reservoir inflow data from the Xiluodu (XLD) and Wudongde (WDD) reservoirs in the Jinsha River Basin, China. Several single and hybrid models were developed for comparative analysis. The results indicate that the proposed ensemble approach fits better than other developed model methods. The GCVCT model showed excellent performance in forecasting the inflows of XLD and WDD reservoirs, with NSE values of 0.985 and 0.984, respectively. Furthermore, the GCVCT framework forecast capacity for peak inflow was further verified through discussion and analysis of the 48 peak flows during the validation period, consistently outperforming other models in predicting peak flow for both study reservoirs. This framework provides an effective method for the scientific optimal scheduling of hydropower reservoirs, enabling more sustainable and efficient management practices. It also demonstrates the potential of powerful deep-learning models in intelligent hydrological forecasting.

The Role of Antecedent Winter Soil Moisture Carryover on Spring Runoff Predictability in Snow-Influenced Western U.S. Catchments

Abstract Spring runoff is critical to agricultural, industrial, and municipal water supply as well as environmental uses in the western United States. Although spring runoff in this region has long been predicted based on late winter and early spring montane snow water storage, the role of soil moisture carryover from the previous winter is less understood and utilized in forecasts. We quantify the relationship between antecedent winter soil moisture and spring runoff for 85 unmanaged catchments in the western United States. Using a regression-based approach, we estimate the proportional reduction in error in seasonal runoff forecasts associated with soil moisture. We classify the catchments into two regimes: interior (cold and relatively dry) and maritime (warmer and wetter), based on seasonal variations in soil moisture. Soil moisture generally is relatively unchanged through the winter period in interior catchments, whereas it increases (mostly gradually, but occasionally rapidly) in maritime catchments. We find that winter temperature dominates soil moisture variability in both types of catchments. We find two patterns in the predictability of spring runoff. First, including antecedent winter soil moisture as a predictor enhances forecast accuracy and variance explanation in spring runoff for both interior and maritime catchments, particularly and with greater significance in interior catchments. Second, spring runoff prediction skill from antecedent winter soil moisture increases with elevation. Overall, we find strong evidence that the use of antecedent soil moisture can improve spring runoff forecast skill for catchments in the western United States. Significance Statement Spring runoff forecasts are crucial for water supply in the western United States, but typically exclude information about soil moisture despite its key role in the water balance. Our study explores how and why incorporating information about winter’s soil moisture levels affects spring runoff forecasts across 85 catchments in the western United States. We find that doing so can produce modest improvements in the prediction skill of spring runoff for both interior and maritime catchments but is particularly noticeable in interior catchments and at higher elevations where temperatures are lower. Overall, our research strongly supports the idea that using information about soil moisture from the previous winter can improve accuracy in spring runoff forecasts for the western United States.

Prevalence of problem drinking in the Swedish workforce: differences between labour market industries based on gender composition and main job activity

BackgroundIdentifying problem drinking patterns across industries is essential for addressing drinking problems in the workforce. Still, it is not well understood how problem drinking differs across industries and whether it is associated with industry gender composition. This study aimed to measure the prevalence of problem drinking (PPD) across Swedish industries and investigate possible associations between gender-typed industries and problem drinking.Methods9,155 current workers were selected from the Swedish Longitudinal Occupational Survey of Health (SLOSH) data collected in 2020. Participants’ work industries were identified through the Swedish Standard Industrial Classification (SNI) codes. Seven gender-typed industry categories were created based on gender composition and main job activity in each industry. Self-reported problem drinking was measured using a slightly modified Cut-down, Annoyed, Guilt, Eye-opener (CAGE) questionnaire and a cut-off score 2 was used to determine problem drinking. Poisson regression with robust standard errors was used to investigate the association between gender-typed industries and problem drinking.ResultsPPD in the workforce was 6.6%. Men (8.5%) had a higher prevalence than women (5.3%). Across industries, PPD varied from 2.3% in Water supply and waste management to 15.4% in Mining and quarrying. The highest prevalence for men was in Mining and quarrying (18.2%), whereas for women it was in Construction (11.1%). Within gender-typed industries, the highest PPD was in male-dominated Goods and Energy Production (7.7%), and the lowest was in female-dominated Health and Social Care (4.7%). In the regression analysis, both Education (aPR: 1.39, p = 0.03) and Labour-intensive Services (aPR: 1.39, p = 0.02) had higher adjusted prevalence ratios (aPR) compared with Health and Social Care. However, there was no significant difference in aPR among gender-typed industries when considering the gender composition of industries only.ConclusionsPPD in the Swedish workforce varied significantly across industries, with differences observed between men and women. Problem drinking differed between industries when categorized by gender composition and main job activity, but not when categorized by gender composition only. Future research should investigate how industry-specific psychosocial factors influence individual alcohol consumption.

Optimal cost predictive BMS considering greywater recycling, responsive HVAC, and energy storage

A crucial aspect of a sustainable city is ensuring that energy and water supplies can adequately meet urban demand. With the scarcity of natural resources and growing electricity and water demand, it becomes increasingly important for consumers to manage their resource usage more efficiently. This paper proposes a novel perspective of demand-side management coordination strategy for a building's water-energy nexus to enhance the resilience and efficiency of the overall electricity-water-heating system. The model is formulated to optimally coordinates the onsite greywater recycling system, heating, ventilation, air conditioning (HVAC) loads, and distributed energy generation systems with a bidirectional grid connection in a residential building. All subsystems are controlled by a model predictive controller (MPC) receiving real-time time of use (ToU) pricing from electricity and water utilities. The presented mixed integer linear programming model is verified to meet the customers' demands while reducing the operational costs. Results are compared with benchmark systems lacking the water recycling or energy storage system showing 8.3 % operational cost reduction while reducing potable water consumption by 21.5 %. The effect of increased MPC control horizon is also studied showing reduction in cost with increased horizon. Detailed analysis of the proposed framework computational burden and effect of prediction errors is performed to prove the MPC adaptability and robustness. Testing under increased room size and different user preferences further validate the efficacy of the proposed scheme in reducing the operational costs.

Swachh Bharat Mission Gramin: Uptake and challenges in rural Coimbatore

ABSTRACT Introduction: Water, sanitation, and hygiene (WASH)-related infectious diseases contribute to approximately 5% of the global disease burden. Despite sanitation being a human right, 673 million people worldwide had limited access to toilets. To tackle the same, Swachh Bharat Mission-Gramin (SBM-G) was launched in 2014 to facilitate the construction of over 100 million individual household latrines (IHHLs) across India. However, literature evidence on acceptance of SBM-G in Tamil Nadu, particularly in Coimbatore, is scarce. Objectives: The primary objective was to investigate the utilisation of the SBM-G scheme and its associated factors in rural Coimbatore. Materials and Methods: In 2022, a mixed-methods study incorporating quantitative (using a purpose-designed questionnaire) and qualitative (using in-depth interviews and focus group discussions) components was conducted among 60 SBM-G beneficiaries in Kovai Medical Center and Hospital Institute of Health Sciences and Research (KMCH IHSR)’s rural field practice area. Quantitative data were analysed using Statistical Package for the Social Sciences (SPSS) v23 and qualitative data using manual thematic content analysis. Results: Before IHHL construction, 93.7% of respondents practiced open-air defecation (OAD). The issues perceived with OAD were distance (28.8%) and privacy concerns (12.5%). After SBM-G implementation, 78.3% reported using the IHHL ‘all the time’, reflecting a substantial shift in behaviour. Most respondents received financial aid within about six months (INR 8,000), often in a single instalment. The majority had constructed their IHHLs before 2015. The expenditures incurred varied significantly, with 58.3% spending extra costs ranging between INR 10,000 and 30,000. Water supply to households significantly influenced IHHL usage. Conclusion: While rural villagers appreciate the SBM-G financial assistance for IHHLs, concerns about the inadequacy of the sanctioned amount for proper piped water supply and septic tanks persist. Nonetheless, there is a clear demonstration of positive behavioural change, marked by reduced OAD and increased IHHL usage.

Analysis of submersible axial flow pump fitted with variable IGV at design and off-design conditions

Abstract Submersible axial flow pump is capable of generating large flow rate at high efficiency and is widely used in agriculture, irrigation, water supply and drainage in factories, urban areas, etc. Pumps are always designed to operate at the designed conditions of flowrate and head, but in certain practical applications, their off- design operation seems to be more important, like if there is waterflooding due to heavy rainfall or in case of variable flowrate, variable head operations or long-distance water supply. These situations arise for limited operation (time) and hence it is not economical to change the existing pumping system. The present work deals with the analysis of submersible axial flow pump at design as well as off-design conditions. This off-design operation was controlled by the variable inlet guide vane (VIGV) with the task of making it energy efficient for all conditions. The scope of this work was to investigate the performance of selected pump at designed rotational speed, at designed flowrate (Q/Qd =1) as well as Q/Qd =0.8 and Q/Qd =1.2, using Computational Fluid Dynamics (CFD) and at various VIGV angles in the range of ±25°. The fluid flow analysis was performed using commercial CFD tool ANSYS CFX v17.0. From the numerical study, it was concluded that the performance of the considered AFP significantly increased due to the presence of VIGV at positive rotation angles. The best performance was observed for IGV angle of +25° for all flowrates. As compared to the reference case of 0° IGV rotation, the performance of the AFP increased by 28.42% in terms of head ratio and 0.235% in terms of hydraulic efficiency, for +25° IGV angle, at the designed flowrate. Also, an increment of 69.05% in terms of head ratio and 14.49% in terms of hydraulic efficiency was observed at overload condition of Q/Qd =1.2.

Performance assessment of new reliability index of energy in water distribution networks equipped with PATs based on component simultaneous failure scenarios

For a water distribution network (WDN) equipped with pump as turbines (PATs), when a pipe failure scenario occurs, the network performance in renewable energy supply is very important by issues in pressure supply, leakage control, and quality of water. Due to the importance for both water and energy approaches in WDNs equipped with PAT, a reliability of networks performance under pipe failure is evaluated by a novel reliability index with the nature of energy called ERI for the two cases studies as 25-node network (case 1) and the network connected to reservoir No. 23 in Tehran (case 2) in this study. To increase the accuracy and to make the more realistic results for examining higher-order simultaneous failure scenarios given from one to three pipes, the multidimensional performance is considered by energy, water equity, water adequacy and their combinations in ERI. The ERI provided a correlation of the energy assessment for studied networks as 0.99 for case 1 and 0.98 for case 2. The results of the energy performance analysis in case 1 introduced that pipes number 2 and 36 are the most critical pipes, similarly by performance for Case 2, pipes number 2, 4, 31, and 55 are the most critical pipes for repair and maintenance. The loss energy due to worst failure scenario showed that the simultaneous failure of pipes 2-12-21 in case 1 and pipes 2-4 in case 2 can be provided a completely loss energy produced by PATs.

Siphon-based scalable and salt-resistant multistage thermal desalination system

Recent advances in thermal localization-based passive solar desalination provide a great opportunity for the economical generation of freshwater, particularly in regions with insufficient energy and water infrastructure. Yet, the capillary-assisted passive desalination systems with a high-water productivity flux (measured in Lm−2 h−1) suffer from the issue of performance degradation due to salt accumulation and the inability to be scaled up. In this work, we propose siphon-based supply of saline water over the evaporator that enables scale up of the desalination system to a size significantly higher than the capillary rise height of the hydrophilic evaporator while preventing salt accumulation on the evaporator. The composite siphon comprises insulating fabric wick and a metallic grooved surface for localizing heat to evaporate a thin layer of saline liquid over the evaporator. We perform heat and mass transfer analysis to show that the thermal-to-vapor efficiency depends on the inlet mass flow rate and air gap between the evaporator and the condenser. We propose a methodology to passively control the mass flow rate to maximize the thermal to vapor efficiency at different input heat flux and initial concentration of the brine. A grooved condenser avoids mixing of brine and the freshwater, even at air gaps as low as 2 mm. A siphon-assisted 10-stage desalination system with a footprint area 15 cm × 15 cm and an air gap of 2 mm is shown to have a high water productivity flux of ~5.73 Lm−2 h−1 from 3.5 wt% saline water at an applied heat flux 1000 W/m2, which increases to a record high distillate flux of ~6.23 Lm−2 h−1 and thermal to water collection efficiency of ~423 % for a 15-stage system. The ability of the desalination system to maintain a high-water productivity flux even when the evaporator area is increased by 4 times demonstrates its scalability to achieve higher desalinated water productivity rate.

Harnessing the sustainable potential of groundwater in Saudi Arabia via remote sensing

Groundwater resources in water-stressed regions, such as the Middle East, face significant challenges due to low precipitation, high temperatures, and elevated evaporation rates, which are compounded by anthropogenic stresses. In this context, Saudi Aramco (the national petroleum and natural gas company of Saudi Arabia) has contributed in the search for potential groundwater sources to ensure an adequate supply of potable water for the country’s citizens, agricultural needs, and industrial usage. In this study, we combined geographic information system (GIS), remote sensing (RS) and analytic hierarchy process (AHP) techniques to evaluate the vulnerability of groundwater potential (taking Hail as a case study). With a total of 7 thematic layers (i.e., geology, slope, lineament density, land use/land cover, annual rainfall, drainage density, and soil texture), we found that groundwater potential zones with moderate to high coverage account for 91.9%, which is notably close to the borehole data, with a groundwater potential validation accuracy of 90.0%. The obtained results offer a crucial tool for decision-makers and managers, enabling them to develop timely protection and monitoring measures for groundwater resources.

How green governance empowers high-quality development: An EKC framework-based analysis of ESG and green total factor productivity.

High-quality development represents a fundamental shift in China's economy from scale and speed to quality and efficiency. In this transition, environmental, social, and governance (ESG) practices are not only closely integrated with China's development strategy but have also become a core standard for measuring development quality. Nevertheless, research on how ESG practices specifically promote high-quality development in Chinese enterprises remains limited. Based on the environmental Kuznets curve (EKC) theory framework, this study uses data from the Huazheng ESG Index from 2009 to 2022 and employs fixed effect models, mediation effect models, and heterogeneity analysis to examine the specific impact of China's ESG practices on corporate high-quality development from multiple dimensions. The results show that there is a "U-shaped" relationship between the ESG practices of Chinese listed companies and green total factor productivity (GTFP). Initially, improving ESG practices may temporarily suppress GTFP, but as ESG levels further improve, they exhibit a significant positive impact on GTFP. Corporations significantly boost productivity by alleviating financing constraints and promoting green technological innovation, although the direct impact on technological advancement remains relatively limited. In China's western regions and industries such as manufacturing, electricity, heat, gas, and water production and supply, wholesale and retail, and information transmission, software, and information technology services, the positive effects of ESG on GTFP are particularly evident. Based on these findings, it is recommended that governments and financial institutions collaborate to promote green credit policies and increase support for the research and development of green technologies. Additionally, environmental education and resource use optimization should be strengthened, especially in industries such as agriculture, forestry, animal husbandry, and fisheries, and the exchange of ESG technologies and experiences between industries should be encouraged.

Variability, Attributes, and Drivers of Optimal Forecast-Informed Reservoir Operating Policies for Water Supply and Flood Control in California

Variability, Attributes, and Drivers of Optimal Forecast-Informed Reservoir Operating Policies for Water Supply and Flood Control in California

Bioefficacy of Methanolic Leaf Extracts from Coleus amboinicus and Mentha spicata against Aedes aegypti Mosquitoes

Mosquito-borne diseases (MBDs) pose significant public health challenges globally, with India and Sub-Saharan Africa accounting for the majority of cases. Aedes aegypti, a primary vector of dengue fever, thrives in an environment with inadequate water supply and poor waste management. The increasing resistance of mosquito population to chemical insecticides necessitates the exploration of alternative control strategies, such as botanical extracts. This study evaluates the adulticidal efficacy of methanolic leaf extracts of Coleus amboinicus and Mentha spicata against the adults of Ae. aegypti. Fresh leaves of both plants were collected, dried, and extracted with methanol. Phytochemical screening revealed a moderate presence of alkaloids, flavonoids, saponins, terpenoids, and glycosides in C. amboinicus, while phenols are highly prevalent, indicating significant biological activity. In contrast, M. spicata displayed a high concentration of alkaloids, flavonoids, and terpenoids, though saponins, phenols, and glycosides were less abundant. Adulticidal bioassays demonstrated that C. amboinicus achieved higher mortality rates across all concentrations compared to M. spicata. The LC50 value for C. amboinicus was 202.00 ppm, while M. spicata exhibited an LC50 of 230.00 ppm. Similarly, the LC90 values were 428.51 ppm and 457.40 ppm for C. amboinicus and M. spicata, respectively. These findings suggest that C. amboinicus has a more balanced and diverse phytochemical profile, which likely contributes to its superior adulticidal activity against Ae. aegypti. This study highlights the potential of C. amboinicus as a natural alternative for mosquito control, warranting further exploration and development for effective vector management.