Water Management Strategies Research Articles

Aquifer system deformation in the San Luis Valley: A new framework for modeling subsidence in agricultural regions

The San Luis Valley (SLV), Colorado, is challenged with implementing sustainable groundwater management in the face of increasing surface water scarcity due to climate change. Groundwater extraction in unconsolidated aquifers such as the SLV can cause cm-scale subsidence and rebound. This study utilizes Interferometric Synthetic Aperture Radar (InSAR) data, validated by Global Navigation Satellite System (GNSS) measurements, to measure subsidence and analyze the groundwater dynamics that cause it. Addressing the challenges of phase decorrelation and data gaps, notably from September 2018 to April 2019, we adopted a modified DS-interpolation algorithm, alongside a Singular Spectrum Analysis (SSA)-based gap filling technique. Furthermore, we enhanced the temporal resolution of groundwater level data through the Theis curve interpolation. These methodologies enabled the integration of observational well data with satellite measurements to calibrate a one-dimensional deformation model, capturing both the elastic and inelastic responses of the aquifer system. Our investigation, spanning 2015 to 2021, reveals both seasonal and long-term subsidence, with the confined aquifer section experiencing up to 1 cm/year of subsidence alongside notable seasonal fluctuations. The methodology presented here provides a path to model subsidence in regions with sparse groundwater level and noisy InSAR data. It also provides valuable insights for developing effective water management strategies in the SLV.

Assessing the Early Establishment and Adaptability of Italian Ryegrass (Lolium multiflorum) in Irrigated and Rainfed Conditions of Punjab, Pakistan

In Punjab, Pakistan, more than 60% expenditure incurred on the feeding of livestock and offered low quality forage thus affecting the productivity of milk and meat. The less production of livestock oriented products often results malnutrition in the society. An effort was made to evaluate the Italian Ryegrass (Lolium multiflorum) early growth and its adaptation to rainfed and irrigated environments. The main objective of this study is to provide important new information for sustainable fodder production systems. The experiment used a Randomized Complete Block Design with seeds obtained from Korea and was carried out in the winter of 2023 in both rainfed Chakwal and irrigated Sargodha zone of Punjab. The plant's response to varying soil conditions and water availability was evaluated by measuring a range of growth parameters, such as plant height, population density, root and shoot biomass, root length, and the root-shoot ratio. The results show that there are significant differences between rainfed and irrigated locations as established by the statistical analysis. Italian Ryegrass in irrigated plots showed higher mean plant height (43.75 cm), higher plant population (317.50 plants/m²), higher shoot biomass (7.425 g/plant), greater length of roots (5.950 cm), and a lower root-shoot ratio (0.1135) than in rainfed areas. Additionally, the study provides data on soil profiles that show differences between the two locations in terms of pH, electrical conductivity, nitrogen, phosphorus, and potassium. The findings provide important information for enhancing Italian Ryegrass cultivation in Punjab's various agro-ecological zones, given the critical role fodder feed plays in supporting livestock and agriculture. The study provides the basis for well-informed farming practices by highlighting the importance of water management strategies to improve fodder production during scarcity period and, by consequently, animal nutrition in the area.

Modeling and Analysis of Lake Water Levels Using System Dynamics and Principal Component Analysis

Understanding the intricate dynamics of the Great Lakes water levels, shaped by environmental factors like rainfall and evaporation, is crucial for devising sustainable water management strategies. This study develops a model to manage the Great Lakes' water levels by analyzing the interconnectedness of the lake network. Utilizing principal component analysis, key variables like rainfall and evaporation were evaluated for their impact on water levels. System dynamics models integrated with flow conservation laws allowed for a detailed hydrodynamic assessment. The study introduces a "narrow seam method" for dry river scenarios, enhancing model accuracy. Annual water level trends from 2000 are depicted, offering insights into future water management practices in response to environmental changes.

Optimization strategies for carbon neutrality in a maize-soybean rotation production system from farm to gate

Agricultural food production stands as a primary source of global greenhouse gas emissions, with residue management widely acknowledged as an effective avenue to achieve carbon neutrality. However, there is a lack of comprehensive assessment of the carbon footprint of agricultural residue production, processing, and recycling from farm to gate. Here we conducted a hybrid approach that integrated the DeNitrification-DeComposition (DNDC) model and life cycle carbon footprint to co-optimize water and residue management, targeting carbon neutrality and yield increase. The results revealed that controlled drainage with sub-irrigation (CDSI) served as a potent water management strategy to mitigate greenhouse gas emissions (15.65 %) while increasing yield (24.34 %) compared to free drainage. Regardless of the type of bioproduct, incorporating CDSI with downstream residue utilization exhibited substantial potential for carbon-negative emissions, reducing the average farm carbon footprint to −1538.15 kg CO2 eq yr−1. Among those scenarios, the CDSI with bioethanol scenario particularly stands out with its robust carbon mitigation capability (−1994.94 kg CO2 eq yr−1), driven by the enormous energy demand throughout the agricultural production process and the environmental friendliness of bioethanol, which substantially exceeds that of gasoline. However, challenges such as high plant construction costs and extended investment payback periods associated with residue conversion underscore the need for the urgent establishment of national subsidies and market mechanisms to foster carbon neutrality in agricultural production.

The Use of Electrochemical Cells to Generate Nanobubbles As Innovative Agents for Alleviating Eutrophication in Aquatic Environments

Eutrophication, characterized by the excessive accumulation of nutrients, notably nitrogen and phosphorus, in aquatic environments, represents a growing concern in contemporary environmental science. Specifically, eutrophication is intricately associated with the proliferation of algae, giving rise to the development of dense populations known as algal blooms. Harmful Algal Blooms (HABs), primarily composed of cyanobacteria and green algae, pose a threat to aquatic ecosystems by diminishing water clarity, depleting oxygen levels, and, in certain instances, generating detrimental toxins. The global incidence of HABs is increasing, and their frequency is anticipated to further rise due to the impacts of climate change.Conventional methods of water management often encounter significant challenges in effectively addressing and mitigating occurrences of algae blooms. HAB present a multifaceted challenge, influenced by nutrient pollution, climate factors, and diverse algal species. The intricate interactions among these elements contribute to the complexity of the issue. Additionally, the varying responses of algae to environmental conditions and the potential toxicity of certain species further complicate mitigation efforts. To address this challenge effectively, a nuanced understanding of these interconnected factors is essential. Implementing targeted strategies for sustainable water management is crucial for mitigating the impact of algae blooms on aquatic ecosystems and human health.Nanobubble technology represents a revolutionary approach to gas exchange, generating ultrafine bubbles with distinctive properties. These bubbles, with diameters smaller than 1000 nm, are non-buoyant, negatively charged, and exhibit remarkable longevity. These attributes allow them to spontaneously form at the interface between solid surfaces and aqueous solutions. Moreover, their small size enhances mass transport at the electrode-electrolyte interface, impacting reaction rates and catalytic activity. These electrochemical properties position nanobubbles as promising candidates for applications in electrosynthesis, energy storage, and water treatment, with ongoing research aiming to further understand their intricate interplay in diverse electrochemical processes. Nanobubbles play a pivotal role in improving water quality by reducing surface tension, preventing the escape of gas molecules into the atmosphere. This action effectively enhances the concentration of dissolved oxygen in bodies of water. By mitigating the adverse effects of HABs, nanobubbles emerge as a transformative technology with the potential to revolutionize water management strategies.Our research entails a thorough investigation into the formation mechanisms and diverse applications of nanobubbles. The work presented here specialized focuses on nanobubble generation using electrochemical cells. We aim to present how nanobubbles are generated using customized and portable electrochemical cells and the unique properties of these generated nanobubbles. Preliminary results will also be presented to compare the nanobubbles generated using electrochemical cells to the nanobubbles generated using conventional approaches currently employed in the industry. By delving into the details of nanobubble formation, we seek to understand their effectiveness at addressing the challenges associated with eutrophication and HABs in aquatic environments. This comparative analysis will shed light on the advantages and limitations of generating nanobubbles using electrochemical cells in the context of restoration of bodies of water, offering valuable insights for future applications and guiding decisions in environmental management practices.

Water Management in Anion Exchange Membrane Fuel Cells Via Distribution of Relaxation Times Analysis

In response to growing concerns regarding air pollution and energy scarcity, anion exchange membrane fuel cells (AEMFCs) have emerged as a promising technology for power generation due to their high efficiency, zero emissions, and the abundance of hydrogen resources. Within AEMFCs, water serves as a reactant, being consumed at the cathode, and generated at the anode, which can lead to an imbalance in the water content within the fuel cell. Maintaining an appropriate water distribution is essential for efficient charge transport and electrochemical reaction kinetics. Therefore, the development of a comprehensive water management strategy is crucial to ensure the stable operation and durability of AEMFCs.Characterizing the water condition of the anode and cathode in different operation conditions (normal, drying, or flooding) is a critical step that provides data foundation for devising effective water management control strategies. Electrochemical impedance spectroscopy (EIS) offers a means to investigate different resistances (kinetics, mass transport, and ohmic losses) over varying time scales during operation to assess water transport. The conventional interpretation of EIS data typically relies on equivalent circuit models, necessitating prior assumptions and initial component selections. In this study, we employed the distribution of relaxation times (DRT) methodology, known for its powerful ability to separate components, to conduct a more precise analysis of polarization processes. Initially, electrochemical impedance dynamics related to hydroxide transport, hydrogen oxidation reactions, and oxygen reduction reactions were effectively extracted. Subsequently, DRT was employed to investigate the loss and variation trends of each polarization process under conditions of anode and cathode water flooding and drying conditions, respectively. Furthermore, to gain a deeper understanding of the effects of water content on mass transport and electrochemical reaction kinetics, a three-dimensional multi-physics model for AEMFCs was developed. This model incorporated water phase transition, heat and mass transfer, liquid water and dissolver water transport, and electrochemical reactions. These endeavors represent a comprehensive and systematic approach to guide the utilization of the distribution of relaxation times in fuel cells.

Productivity of hybrid rice (Mestizo 27) under different water and nutrient management systems

This study examines the productivity of hybrid rice under different water and nutrient management systems. At Isabela State University, Cabagan, Isabela, we conducted a field experiment to determine the productivity of hybrid rice production under different water and nutrient management strategies. It was laid out in a split-plot design with four replications. Water management schemes as main plot consisted of alternate wetting and drying at -15 cm (A1), alternate wetting and drying at -20 cm (A2), field capacity (A3), and continuous flooding (A4), while nutrient management strategies as subplot consisted of recommended rate (B1), leaf color chart (B2), critical growth periods (B3), and rice crop management (B4). The Mestizo 27 subjected to nutrient management through the leaf color chart (B2) gained highest on the number of productive tillers, filled grains, biomass weight, and grain yield. Similarly, the interaction effect of field capacity and leaf color chart (A3xB2) resulted in numerous productive tillers, which increased the yield, net income, and return on investment. Moreover, water management through the field capacity (A3), continuous flooding (A4), and AWD-15 (A1) in combination with leaf color charts (B2) produced highest grain yield among treatments. Hence, the use of leaf color chart in combination with different water management schemes was seen as effective in increasing the yield of Mestizo 27 even beyond safe AWD-15.

Seasonal Effects of Constructed Wetlands on Water Quality Characteristics in Jinshan Lake: A Gate Dam Lake (Zhenjiang City, China).

Urban lakes commonly suffer from nutrient over-enrichment, resulting in water quality deterioration and eutrophication. Constructed wetlands are widely employed for ecological restoration in such lakes but their efficacy in water purification noticeably fluctuates with the seasons. This study takes the constructed wetland of Jinshan Lake as an example. By analyzing the water quality parameters at three depths during both summer and winter, this study explores the influence of the constructed wetland on the water quality of each layer during different seasons and elucidates the potential mechanisms underlying these seasonal effects. The results indicate that the constructed wetland significantly enhances total nitrogen (TN) concentration during summer and exhibits the capacity for nitrate-nitrogen removal in winter. However, its efficacy in removing total phosphorus (TP) is limited, and may even serve as a potential phosphorus (P) source for the lake during winter. Water quality test results of different samples indicated they belong to Class III or IV. Restrictive factors varied across seasons: nitrate-nitrogen and BOD5 jointly affected water quality in winter, whereas TP predominantly constrained water quality in summer. These results could provide a reference for water quality monitoring and management strategies of constructed wetlands in different seasons in Jiangsu Province.

Mapping agricultural tile drainage in the US Midwest using explainable random forest machine learning and satellite imagery

There has been an increase in tile drained area across the US Midwest and other regions worldwide due to agricultural expansion, intensification, and climate variability. Despite this growth, spatially explicit tile drainage maps remain scarce, which limits the accuracy of hydrologic modeling and implementation of nutrient reduction strategies. Here, we developed a machine-learning model to provide a Spatially Explicit Estimate of Tile Drainage (SEETileDrain) across the US Midwest in 2017 at a 30-m resolution. This model used 31 satellite-derived and environmental features after removing less important and highly correlated features. It was trained with 60,938 tile and non-tile ground truth points within the Google Earth Engine cloud-computing platform. We also used multiple feature importance metrics and Accumulated Local Effects to interpret the machine learning model. The results show that our model achieved good accuracy, with 96 % of points classified correctly and an F1 score of 0.90. When tile drainage area is aggregated to the county scale, it agreed well (r2 = 0.69) with the reported area from the Ag Census. We found that Land Surface Temperature (LST) along with climate- and soil-related features were the most important factors for classification. The top-ranked feature is the median summer nighttime LST, followed by median summer soil moisture percent. This study demonstrates the potential of applying satellite remote sensing to map spatially explicit agricultural tile drainage across large regions. The results should be useful for land use change monitoring and hydrologic and nutrient models, including those designed to achieve cost-effective agricultural water and nutrient management strategies. The algorithms developed here should also be applicable for other remote sensing mapping applications.

Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting

ABSTRACT Comprehensive assessments of hydrological components are crucial for enhancing operational water supply simulations. However, hydrological models are often evaluated based on their surface flow simulations, while the validation of subsurface and groundwater components tends to be overlooked or not well documented. In this study, we evaluated the outputs of two hydrological models, the Large Basin Runoff Model (LBRM) and the Weather Research and Forecasting – Hydrological modeling extension package (WRF-Hydro), for potential implementation in operational water balance forecasting in the Great Lakes region. We examined the simulated hydrological variables including surface (e.g. snow water equivalent, evapotranspiration, and streamflow), subsurface (e.g. soil moisture at different layers), and groundwater components with observed or reference data from ground-based stations and remotely sensed images. The findings of this study provide valuable insights into the capabilities and limitations of each model. These findings contribute to more informed water management strategies for the Great Lakes region.

Exploring Water Source Preferences and Agricultural Water Use in Rural Communities in the Changing Climate in Yobe State

In the face of a changing climate, rural communities in Yobe State, Nigeria, are experiencing increased water scarcity, impacting agricultural productivity and livelihoods. Despite the abundance of studies on rural water use, gaps remain in understanding the interplay between economic factors, traditions, and agricultural practices in shaping these preferences and utilization. Therefore, this study investigates water source preferences and agricultural water use among rural households in Yobe State, examining the implications of climate change on these dynamics. A mixed-methods approach combining surveys, interviews, and focus groups was employed to collect data from 300 rural households. Statistical Analysis, such as logit, and multinomial regressions were used for the data analysis. Results show that rural households prefer traditional water sources like rivers and wells over modern sources like boreholes and piped water. However, climate change has altered the reliability and quality of these traditional sources, forcing households to adapt their water use strategies. The study reveals a significant shift towards groundwater use for irrigation, increasing the risk of over-extraction and land degradation. The findings highlight the need for climate-resilient water management strategies, improved water infrastructure, and sustainable agricultural practices to ensure food security and livelihood resilience in rural Yobe State. This research contributes to understanding the complex relationships between water sources, agricultural water use, and climate change in rural communities, informing policy and interventions to support climate adaptation and sustainable development.

Drying and rewetting affect the chemical speciation and bioavailability of soil phosphorus in a hyper-arid desert ecosystem

Climate change is expected to alter the frequency and intensity of drying and rewetting cycles, impacting water availability and consequently soil nutrient availability. However, the effects of these fluctuations on the chemical speciation and bioavailability of phosphorus (P) in soil with or without desert species remain uncertain. We conducted a pot experiment involving bare soil and two desert species (Alhagi sparsifolia and Calligonum mongolicum) to determine the short-term impacts of drought (no water supply), drying-rewetting-1 (D-RW1, high frequency of low water amounts), and drying-rewetting-2 (D-RW2, low frequency of high-water amounts) treatments on soil Hedley-P pools, plant P concentration and biomass accumulation. Results demonstrated that the presence of plants significantly increased soil labile-P and organic P (Po) concentrations by 60–150% and 1–68%, respectively, compared to bare soil. Both D-RW1 and D-RW2 treatments significantly increased soil dissolved organic carbon concentration by 2–35% relative to the drought treatment. Moreover, soil resin-P and NaHCO3-Pi concentrations under Alhagi sparsifolia in D-RW1 treatment significantly increased by 31% and 75%, respectively, when compared to the drought treatment, with NaHCO3-Po and NaOH-Po concentrations under D-RW2 treatment rising by 14% and 32%, respectively. Furthermore, D-RW2 treatment significantly increased leaf P concentration and biomass compared to D-RW1 and drought treatments. Overall, compared to drought treatment, frequent low-intensity drying-rewetting cycles enhanced soil Pi turnover, whereas infrequent high-intensity drying-rewetting cycles increased Po turnover and P bioavailability. These findings will inform better water management strategies for desertification restoration in hyper-arid desert ecosystems.

Spatial and temporal dynamic zoning of crop water consumption under past and future climate and socioeconomic changes in China

The impacts of multiple changes in climatic and socioeconomic conditions within countries and regions are spatially heterogeneous, thus complicating stringent agricultural water management. Here we developed a framework for the dynamic identification of zone types and provided targeted agricultural water management strategies for each zone in response to global change. Considering China as an example, eight zones of typical major grain crop production prefectures were identified based on an analysis of the spatial and temporal evolution characteristics at four levels (agricultural, natural, social, and economic) according to the water footprint of major grain crop production at the prefecture-level for the past 15 years (2004–2018). We then presented the response of China's future zoning landscape for 2030, 2050, and 2080 under three representative scenarios by combining shared socioeconomic paths (SSPs) and representative concentration paths (RCPs). Results show that, by 2080, the national water consumption of the major grain crop production will increase under all scenarios. Half of the prefectures facing function shifts are likely to change from low to high water-consuming zones. Different zonal prefectures react differently under global changes, especially those that are prone to functional transformation, and should pay attention to their instability. Consideration of the water footprint in agricultural zoning is of great importance for national sustainable water resources management. This study proposes a more explicit approach to coping with global change, that is, to propose regionalized and prior agricultural water management strategies and measures for China and beyond.

Effects of different levels of irrigation suppression and fertigation on potato yield

With the limitation in the availability of water for agriculture and the high costs of fertilizers, it is necessary to adopt strategies for water and nutritional management of agricultural crops. The objective of this study was to evaluate the morphological and physiological characteristics and productivity of potato under the influence of suppression of irrigation and fertigation in Jaboticabal, SP, Brazil. The experiment was carried out in randomized blocks, conducted in the field, using a 3 x 2 factorial scheme. Different times of irrigation suppression were studied at 80, 90 and 100 days after planting, along with forms of fertigation, following the rate of crop absorption and equivalent fertigation. The imposition of irrigation suppression at 100 days, linked to fertigation following the rate of crop absorption, showed a positive effect on the aerial fresh mass of the potato variety studied, especially promoting the increase in productivity, which was 47.82 t ha-1, and efficiency in water use, which was 10.53 kg of tubers per cubic meter of water. This observation indicates that the application of fertilizers, in sync with the needs of the crop, can improve the efficiency of water use and increase productivity. These findings highlight the importance of integrated strategies to optimize potato cultivation and make it more resistant to adversity, seeking a more sustainable and productive agriculture.

Identify the seasonal differences in water quality and pollution sources between river-connected and gate-controlled lakes in the Yangtze River basin

The river-connected Dongting Lake (DT) and Poyang Lake (PY), and the gate-controlled Taihu Lake (TH) and Chaohu Lake (CH) are the four important lakes in the Yangtze River Basin. The comprehensive Water Quality Index (WQI), the Eutrophication Integrated Index (TLI(Σ)), and the Positive Matrix Factorization (PMF) model were employed to evaluate water quality and the contribution of pollution sources for these lakes. The results show that WQI for all lakes indicated generally good water quality, with DT scoring 73.52–86.18, the highest among them. During the wet season, the eutrophication degree of river-connected lake was medium, and that of gate-controlled lakes was high. The surface runoff and agricultural non-point sources are the main pollution sources for both types of lakes, but their impact is more pronounced in gate-controlled lakes during the wet season. The study provides evidence support for scientific understanding of water quality problems and management strategies in these areas.

Optimizing the Water and Nitrogen Management Scheme to Enhance Potato Yield and Water–Nitrogen Use Efficiency

Optimizing the Water and Nitrogen Management Scheme to Enhance Potato Yield and Water–Nitrogen Use Efficiency

Beyond immediate relief: Investigating multi-faceted water management in inter-basin water transfer projects

Water scarcity is a compelling and complex global challenge that has far-reaching implications for both ecological systems and human societies. In response, inter-basin water transfer initiatives have been advocated as potential remedies. Though effective in providing immediate relief, the long-term viability of these initiatives is disputed. Notably, recurring scarcity can result from increased water demand in the recipient basin due to transferred water. Addressing this requires balancing water demand and supply. Beyond supply-focused measures such as water transfers, a crucial strategy involves adopting demand-focused approaches to reduce reliance on such transfers. This study centers on the Gavkhouni basin in Iran, where despite repeated water transfers, water scarcity remains persistent due to climate fluctuations, population growth, agricultural activities, and economic development. The research developed a comprehensive system dynamic model, integrating environmental, social, and economic variables impacting water balance in the region in order to assess the effectiveness of three distinct demand-focused water management strategies, namely, technology-based, cropping pattern-based, and land-based policies, both individually and in synergy. This analysis was conducted across a set of scenarios encompassing climate change, population growth, GDP dynamics, and water transfer patterns. The findings revealed a satisfactory accuracy of the water management system model, with a 6.2% mean absolute error. In addition, findings highlighted the advantages of a multifaceted strategy, with technology-driven interventions and optimized cropping patterns emerging as particularly effective. However, the economic dimensions of these policies warrant comprehensive exploration due to the significant impact they have on the feasibility and effectiveness of the policies. The study emphasizes the need to combine demand-side policies with supply strategies like water transfers. This comprehensive approach is vital for effective water management and long-term water security.

Environmental risk assessment of pharmaceuticals in wastewaters and reclaimed water from catalan main river basins

Aquatic pollution from pharmaceuticals is a growing environmental concern globally, particularly in Catalonia's primary water bodies, the Llobregat and Besòs rivers. This study investigates pharmaceutical residues in reclaimed water effluents from the Llobregat River and a wastewater treatment plant (WWTP) in the Besòs River, critical contributors to the region's water resources. Employing LC-MS/MS, 85 pharmaceutical residues were monitored, revealing elevated concentrations of tramadol, losartan, and gemfibrozil, commonly prescribed drugs in Catalonia. Surprisingly, downstream concentrations exceeded upstream levels significantly, indicating the adverse impact of reclaimed water on water quality. Furthermore, evaluation of WWTP efficiency displayed varying removal rates, from 10 % to 99.8 %, highlighting treatment inadequacies for certain compounds. Predictive environmental concentrations (PECs) aligned closely with measured values, affirming the utility of predictive models in early-stage research. Risk assessment via the risk quotient (RQ) method identified atorvastatin and chlorpromazine as surpassing toxicity thresholds.This study underscores the urgent need to address pharmaceutical contamination in urban rivers and reclaimed waters in Catalonia. By highlighting treatment inefficacies and potential ecological risks, it contributes to the development of sustainable water management strategies and environmental conservation efforts in the region. Efforts should focus on continuously monitoring specific compounds, evaluating their individual toxicity, and implementing appropriate remediation techniques in WWTPs to safeguard water quality and aquatic ecosystems.

Ultra-high solar steam generation based on regulated water management strategy in 3D biomass hydrogels inspired by the “binding effect” of cell walls

Facing the global challenge of water scarcity, solar-driven seawater desalination has been emerged as a green, non-polluting and sustainable technology, but the practical application of existing solar evaporators was hindered by their low evaporation efficiency and poor mechanical property. Inspired by the binding effect of cell walls, a novel and high-efficiency three-dimensional (3D) evaporator (CDs/CF/CS-LF) was constructed, in which loofah (LF) served as a natural 3D skeleton to support the hydrogel evaporator, resisted deformation, and created an efficient dual water supply mode with the chitosan (CS) hydrogel ensuring that the evaporator maintains high evaporation rate even under high salt environment. Additionally, the cellulose nanofibers (CF) filler enhanced the mechanical property of the hydrogel, ensuring shape stability under pressure impact, and carbon dots (CDs) facilitated the aggregation and cross-linking of chitosan chains through hydrogen bonds, further improving the mechanical property of the evaporator, while also enhancing the photothermal conversion capability of the 3D-CDs/CF/CS-LF evaporator as a photothermal material. The experimental results indicated that the 3D-CDs/CF/CS-LF evaporator could achieve an ultra-high solar vapor production rate of 8.08 kg m−2 h−1 under 1 sunlight intensity in 3.5 wt% NaCl solution. Outdoor seawater desalination experiments demonstrated the utility of 3D-CDs/CF/CS-LF evaporator for practical applications. This work provided a new approach for the improvement of CS-based evaporators and demonstrated their potential application in seawater desalination and purification.

A Scalable and Robust Water Management Strategy for PEMFCs: Operando Electrothermal Mapping and Neutron Imaging Study.

Effective water management is crucial for the optimal operation of low-temperature polymer electrolyte membrane fuel cells (PEMFCs). Excessive liquid water production can cause flooding in the gas diffusion electrodes and flow channels, limiting mass transfer and reducing PEMFC performance. To tackle this issue, a nature-inspired chemical engineering (NICE) approach has been adopted that takes cues from the integument structure of desert-dwelling lizards for passive water transport. By incorporating engraved, capillary microchannels into conventional flow fields, PEMFC performance improves significantly, including a 15% increase in maximum power density for a 25 cm2 cell and 13% for a 100 cm2 cell. Electro-thermal maps of the lizard-inspired flow field demonstrate a more uniform spatial distribution of current density and temperature than the conventional design. Neutron radiography provides evidence that capillary microchannels in the lizard-inspired flow field facilitate the efficient transport and removal of generated liquid water, thereby preventing blockages in the reactant channels. These findings present a universally applicable and highly efficient water management strategy for PEMFCs, with the potential for widespread practical implementation for other electrochemical devices.