Low Storage Capacity Research Articles

High-Throughput Information Storage in an Intelligent Response Phosphor.

Persistent phosphor has emerged as a promising candidate for information storage due to rapid accessibility and low-energy requirements. However, the low storage capacity has limited its practical application. Herein, we skillfully designed and developed NaGdGeO4:Pb2+,Tb3+ stimulated phosphor by trace doped Sm3+. As expected, this phosphor demonstrates a larger carrier capacity than traditional commercial SrAl2O4:Eu2+,Dy3+ phosphors and superstrong thermostimulated luminescence (TSL) that is three times greater than its photoluminescence (PL) intensity (PL efficiency, 17.3%). A mechanism of the enhanced and controllable TSL is proposed based on electron-hole defect pair structure. We further present a high-throughput optical data recording in five dimensions in a single fluorescent film recording layer. The findings described here provide not only a universal approach for constructing TSL materials but also a new paradigm for future generation optical storage technology.

Machine Learning in Solid-State Hydrogen Storage Materials: Challenges and Perspectives.

Machine learning (ML) has emerged as a pioneering tool in advancing the research application of high-performance solid-state hydrogen storage materials (HSMs). This review summarizes the state-of-the-art research of ML in resolving crucial issues such as low hydrogen storage capacity and unfavorable de-/hydrogenation cycling conditions. First, the datasets, feature descriptors, and prevalent ML models tailored for HSMs are described. Specific examples include the successful application of ML in titanium-based, rare-earth-based, solid solution, magnesium-based, and complex HSMs, showcasing its role in exploiting composition-structure-property relationships and designing novel HSMs for specific applications. One of the representative ML works is the single-phase Ti-based HSM with superior cost-effective and comprehensive properties, tailored to fuel cell hydrogen feeding system at ambient temperature and pressure through high-throughput composition-performance scanning. More importantly, this review also identifies and critically analyzes the key challenges faced by ML in this domain, including poor data quality and availability, and the balance between model interpretability and accuracy, together with feasible countermeasures suggested to ameliorate these problems. In summary, this work outlines a roadmap for enhancing ML's utilization in solid-state hydrogen storage research, promoting more efficient and sustainable energy storage solutions.

Analisis Permeabilitas Tanah Berpasir Dan Tanah Lempung Dalam Hubunganya Dengan Manajemen Irigasi

This research examines the permeability characteristics of sandy and clay soils and their implications for irrigation management in agricultural systems. Soil permeability is a key factor in determining water use efficiency and optimal irrigation strategies. The research methodology includes laboratory analysis of sandy and clay soil samples from various agricultural locations, measuring physical soil characteristics, infiltration rates, water storage capacity, and hydraulic conductivity. The results show significant differences between the two soil types, where sandy soil has high permeability ranging from 10^-3 to 10^-2 cm/second, low water storage capacity, and rapid infiltration rates, thus requiring more frequent irrigation with smaller volumes. In contrast, clay soil has low permeability ranging from 10^-7 to 10^-6 cm/second, high water storage capacity, and slow infiltration rates, requiring less frequent irrigation with larger volumes. Based on these results, specific irrigation management recommendations were developed that include irrigation schedule adjustments, water volume regulation, selection of appropriate irrigation methods, and water conservation techniques. This research provides important contributions to optimizing irrigation water use based on soil permeability characteristics, which can improve water use efficiency and agricultural productivity.

Suppressed P3-O3' Phase Transition and Enhanced Na+ Diffusion Kinetics of O3-Type Layered Oxide Cathode via Multivariate Doping.

O3-NaNi1/3Fe1/3Mn1/3O2 has attracted much attention as a cathode for sodium-ion batteries, because of its low cost and high sodium-ion storage capacity. However, its slow Na+ diffusion kinetics and harmful P3-O3' phase transition with severe bulk strain at high voltage leads to poor rate capability and fast capacity fading. Herein, we propose a multivariate doping strategy with Cu, Mg, and Ti ions to solve the above problems of the O3-NaNi1/3Fe1/3Mn1/3O2 cathode. The O3-Na(Ni1/3Fe1/3Mn1/3)0.9Cu0.03Mg0.02Ti0.05O2 (NFMCMT) cathode exhibits enlarged Na+ diffusion channels and a strengthened layered structure, which improves the Na+ diffusion kinetics, suppresses the harmful P3-O3' phase transition at high voltages, and inhibits the intragranular fatigue cracks, leading to enhanced rate capability and cycling performance. As a result, the NFMCMT exhibits outstanding performance in the 2-4.1 V voltage window, delivers a discharge capacity of 151.2 mAh g-1 with the 81.5% capacity retention for 100 cycles at 0.1 C, and 83.1% capacity retention for 300 cycles at 5 C. Especially in the rate performance, the NFMCMT delivers a 115.6 mAh g-1 and 100.1 mAh g-1 discharge capacity even at 5 and 10 C. This work provides an effective multivariate doping strategy for development of high-performance layered oxide cathodes for sodium-ion batteries.

Enhanced physical hydrogen storage in g-C10N3 monolayer with lithium decoration: A first-principles study

The pure ▪ monolayer has low hydrogen gravimetric storage capacity due to the fact that their van der Waals interactions are not strong enough. In this study, we proposed a novel composite, Li∘▪ , for physical hydrogen storage based on first-principles calculations. Lithium (Li) atoms can securely anchor to ▪ with a bonding energy of -3.37 eV, exhibiting excellent thermal stability. Li∘▪ can hold 7 H2 molecules per unit cell around room temperature, achieving an 8.0 wt% gravimetric storage capacity with average adsorption energies ranging from -0.277 eV/H2 to -0.208 eV/H2. Desorption temperatures range from 269 K to 358 K, indicating good kinetic properties. Relative energy studies confirm Li∘▪ as a promising energy storage material under moderate pressure (>6 bar) and room temperature conditions. The adsorption mechanism involves synergistic electrostatic and van der Waals interactions. We hope that more material-based hydrogen storage techniques will be developed in this direction.

Real-time predictive control assessment of low-water head hydropower station considering power generation and flood discharge

In the real-time operation of cascade reservoirs, when the discharge flow of the upstream power station changes frequently, the downstream power station with a low head and small storage capacity has to adjust the gate or turbine frequently to keep the water level safe. This paper proposes a real-time optimal scheduling model based on model predictive control theory(MPC), considering the interaction between power generation and flood discharge. Firstly, the correlation analysis is carried out between the outflow of the Zhentouba hydropower station(ZTB) and the inflow of the Shaping II Hydropower Station(SP), and the spatio-temporal hydraulic connection between the ZTB and SP is obtained. The fuzzy relationship between tail water level and discharge flow is accurately described using numerical simulation, considering the interaction between power generation and discharge. Secondly, based on the precise description of inflow and outflow, a high-precision water level rolling prediction model is constructed using the water balance principle. Finally, based on the MPC, the real-time control model of SP is constructed. The results show that the water level process is steadier, with fewer gate adjustments. Compared with the observed number of gate adjustments in 2020, the number of reservoir gate adjustments after model optimization is reduced by 73.26%. It improves the operation efficiency and safety of the hydropower station and provides a guidance basis for the optimal operation of the SP.

Numerical investigations into the comparison of hydrogen and gas mixtures storage within salt caverns

Salt caverns, long used for natural gas storage to manage peak loads, are being considered for hydrogen storage as part of the shift towards greener fuels. This transition necessitates re-evaluating heat and fluid transport to ensure the suitability of storage sites. A comparative analysis between current (natural gas and compressed air) and prospective (hydrogen and gas mixtures) storage systems was conducted using a standardized historical cycle over thirty days to identify trends. Hydrogen exhibited the lowest cumulative temperature and pressure increase (17 °C, 0.40 MPa), but the greatest variability per cycle, with an average range of 26 °C and 1.6 MPa. This higher fluctuation could potentially limit its use in short-term cycles compared to natural gas. Moreover, hydrogen's storage capacity was found to be a third of natural gas's, at only 6.6 GWh for the cavern design and specified pressure limits. These findings indicate that while hydrogen presents a greener alternative, its high variability and lower storage capacity pose challenges for its use in existing infrastructure, highlighting the need for further research to optimize its storage and utilisation in energy systems.

Research on faradic capacitive deionization regeneration method for absorption air conditioning system

The development of renewable energy driven air conditioning system is of importance for curbing the CO2 emission. Absorption air conditioning systems could be a good choice but for its low regeneration efficiency. Capacitive deionization (CDI) regeneration method has been proposed to improve the efficiency of absorption system by eliminating the energy waste in the traditional thermal regeneration method. The core part of CDI is the electrode normally made from porous carbon materials, which often suffers from low charge storage capacity and co-ion repulsion. On the purpose of performance optimization, this paper proposes a hybrid deionization (HCDI) regeneration method by fabricating the electrode from Faraday materials. Experimental research has been made on the regeneration capacity of the prepared electrodes. Investigation has been conducted on the performance of the HCDI method based absorption system. The influence of different parameters has been revealed. Compared with the porous carbon electrode, the Faraday electrode has raised the charge efficiency by 20%, and raised both the regeneration capacity and overall performance by 40%. Under optimized working conditions, the COP of the HCDI based absorption system has reached 3.51 in the experiments, which shows great potential for future application.

Public Health Care Cybersecurity Challenges and Solutions for Cyber-Attacks on Critical Health Infrastructure

The opportunities for public health care and safety are especially high, and the healthcare industry is particularly susceptible to cybersecurity threats. Cybercriminals find healthcare facilities appealing due to their size, reliance on technology, handling of sensitive data, and susceptibility to certain disruptions. The Internet of Things, or IoT, has gained a lot of traction in recent years due to its many benefits, which include reduced costs, time savings, enhanced user comfort, and effective use of electricity. The most crucial component of the cyber-physical system is the low-capacity sensor node. These components are diverse in nature and can function as hosts or clients on the internet by connecting via a wireless network. The well-known security features found in desktop computers are inoperable on these systems because of resource constraints such low processor power, low storage capacity, and low energy backup. The suggested study uses SNMP in conjunction with an ANN classifier and secure data transmission to detect cybersecurity attacks on healthcare data and medical devices. The vulnerabilities in the security of IoT-centric systems give rise to privacy concerns that impact the use of smart environment applications.

Multifunctional 1–octadecanol/expanded graphite/Fe3O4 composite phase change materials with effective solar–to–thermal and magnetic–to–thermal conversion and storage

Composite phase change materials (CPCMs) with multifunctional thermal conversion and storage abilities have demonstrated exceptional properties for diverse energy storage applications recently; however, these composite materials often encounter limitations of low heat storage capacity and high cost. In this study, novel 1–octadecanol (OD)/expanded graphite (EG)/Fe3O4 CPCMs were facilely prepared and characterized for multifunctional thermal conversion and storage properties. The composites showed excellent thermal energy storage capacities, reaching 185.5 J/g at 80 % OD accompanied by high crystallization fractions of above 95 %. In addition, they exhibited great thermal conductivities, excellent leakage resistance, thermal stability, and reliability. Under simulated solar irradiation, the prepared OD/EG/Fe3O4 CPCMs exhibited a rapid temperature increase from 34 to 70 °C, achieving solar–to–thermal conversion efficiency of 80.2–90.5 %. This behavior can be attributed to its ability to capture and convert photons into thermal energy, facilitated by the synergistic effects of the conjugated double–bond system of EG and localized surface plasmon resonance of Fe3O4 nanoparticles. Furthermore, the prepared OD/EG/Fe3O4 CPCMs exhibited superparamagnetic properties, accelerating their temperatures from 32 °C to 88 °C within 11–23 s when subjected to an alternating magnetic field. This demonstrates magnetic–to–thermal conversion and storage ability. These findings highlight the potential of OD/EG/Fe3O4 CPCMs as promising and cost–effective materials for various practical thermal storage applications.

Studies on hydrogen storage properties of TiVFeNi, (TiVFeNi)95Zr5 and (TiVFeNi)90Zr10 high entropy alloys

The major issues associated with High Entropy Alloys (HEAs) as hydrogen storage material are the activation of these alloys and low storage capacity. The aim of the present investigation is to reduce the activation process and increase the hydrogen storage capacity of TiVFeNi-based HEAs. We investigated the effect of different Zr content on the hydrogen storage properties of TiVFeNi-based HEAs. Four different Ti25V25Fe25Ni25, (TiVFeNi)95Zr5, (TiVFeNi)90Zr10, and (TiVFeNi)80Zr20 HEAs were synthesized through mechanical alloying. The as-synthesized Ti25V25Fe25Ni25 alloy possessed a mixture of bcc and fcc phases. However, the as-synthesized (TiVFeNi)95Zr5 and (TiVFeNi)90Zr10 HEAs possessed bcc and fcc phases with a ZrFe2 intermetallic phase. We found that as the Zr content increases, alloys' hydrogenation behavior, improves due to the better activation process. Among the studied HEAs, in present studies, the highest hydrogen storage capacity is found to be 2.86 wt% at RT with 10 atm of hydrogen pressure for (TiVFeNi)90Zr10 HEA after 15 activation cycles at different temperatures. The high absorption value was found due to the formation of intermetallic ZrFe2, which acts as a bridging entity on the surface of the synthesized bcc and fcc phases. The present study provides a detailed insight into how the presence of the ZrFe2 phase reduces the activation process as well as enhances the hydrogenation properties of TiVFeNi-based HEAs.

Stress Testing California's Hydroclimatic Whiplash: Potential Challenges, Trade‐Offs and Adaptations in Water Management and Hydropower Generation

AbstractInter‐annual precipitation in California is highly variable, and future projections indicate an increase in the intensity and frequency of hydroclimatic “whiplash.” Understanding the implications of these shocks on California's water system and its degree of resiliency is critical from a planning perspective. Therefore, we quantify the resilience of reservoir services provided by water and hydropower systems in four basins in the western Sierra Nevada. Using downscaled runoff from 10 climate model outputs, we generated 200 synthetic hydrologic whiplash sequences of alternating dry and wet years to represent a wide range of extremes and transitional conditions used as inputs to a water system simulation model. Sequences were derived from upper (wet) and lower (dry) quintiles of future streamflow projections (2030–2060). Results show that carryover storage was negatively affected in all basins, particularly in those with lower storage capacity. All basins experienced negative impacts on hydropower generation, with losses ranging from 5% to nearly 90%. Reservoir sizes and inflexible operating rules are a particular challenge for flood control, as in extremely wet years spillage averaged nearly the annual basins' total discharge. The reliability of environmental flows and agricultural deliveries varied depending on the basin, intensity, and duration of whiplash sequences. Overall, wet years temporarily rebound negative drought effects, and greater storage capacity results in higher reliability and resiliency, and lesser volatility in services. We highlight potential policy changes to improve flexibility, increase resilience, and better equip managers to face challenges posed by whiplash while meeting human and environmental needs.

Boosting anions storage via union of in-situ N doping and mesoporous hollow hard carbon nanospheres for advanced dual-ion capacitors

High structural strength in-situ N-doped mesoporous hollow hard carbon nanospheres (NMHS) is prepared to overcome the low anions storage capacity (93 mAh g−1) of easy exfoliated graphite for dual-ion capacitors (DICs). The rich mesoporous structure facilitates the anions diffusion, and the hollow cavity provides expansion space in storage and weakens the high diffusion resistance in the nuclear bulge. With the synergistic effect, The NMHS delivers a high reversible capacity of 100 mAh g−1 with a low decay of 8 % over 5000 cycles at 2 A g−1. In-situ Raman reveals the storage mechanism on hard carbon is “adsorption (major)-intercalation (minor)”. DFT calculations decode the effective storage action of graphitic N and pyridinic N. Consequently, the assembled NMHS-DICs exhibit good long-cycle performance and heterotherm stability, providing a high energy/power density of 200 Wh kg−1 and 11858 W kg−1. This work verifies a feasible cathode design strategy with future application potential on DICs.

TaTPS11 enhances wheat cold resistance by regulating source-sink factor

The presence of sugar in plant tissue can lead to an increase in the osmotic pressure within cells, a decrease in the freezing point of plants, and protection against ice crystal damage to the tissue. Trehalose is closely related to sucrose, which comprises the largest proportion of sugar and has become a hot topic of research in recent years. Our previous studies have confirmed that a key trehalose synthesis gene, TaTPS11, from the cold-resistant winter wheat DM1, could enhance the cold resistance of plants by increasing sugar content. However, the underlying mechanism behind this phenomenon remains unclear. In this study, we cloned TaTPS11-6D, edited TaTPS11-6D using CRISPR/Cas9 technology and transformed ‘Fielder’ to obtain T2 generation plants. We screened out OE3-3 and OE8-7 lines with significantly higher cold resistance than that of ‘Fielder’ and Cri 4–3 edited lines with significantly lower cold resistance than that of ‘Fielder’. Low temperature storage limiting factors were measured for OE3-3, OE8-7 and Cri 4–3 treated at different temperatures.The results showed that TaTPS11-6D significantly increased the content of sugar in plants and the transfer of sugar from source to storage organs under cold conditions. The TaTPS11-6D significantly increased the levels of salicylic, jasmonic, and abscisic acids while also significantly decreasing the level of gibberellic acid. Our research improves the model of low temperature storage capacity limiting factor.

Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering

Recently, federated recommendation has become a research hotspot mainly because of users’ awareness of privacy in data. As a recent and important recommendation problem, in heterogeneous one-class collaborative filtering (HOCCF), each user may involve of two different types of implicit feedback, that is, examinations and purchases. So far, privacy-preserving HOCCF has received relatively little attention. Existing federated recommendation works often overlook the fact that some privacy sensitive behaviors such as purchases should be collected to ensure the basic business imperatives in e-commerce for example. Hence, the user privacy constraints can and should be relaxed while deploying a recommendation system in real scenarios. In this article, we study the federated multi-behavior recommendation problem under the assumption that purchase behaviors can be collected. Moreover, there are two additional challenges that need to be addressed when deploying federated recommendation. One is the low storage capacity for users’ devices to store all the item vectors, and the other is the low computational power for users to participate in federated learning. To release the potential of privacy-preserving HOCCF, we propose a novel framework, named discrete federated multi-behavior recommendation (DFMR), which allows the collection of the business necessary behaviors (i.e., purchases) by the server. As to reduce the storage overhead, we use discrete hashing techniques, which can compress the parameters down to 1.56% of the real-valued parameters. To further improve the computation-efficiency, we design a memorization strategy in the cache updating module to accelerate the training process. Extensive experiments on four public datasets show the superiority of our DFMR in terms of both accuracy and efficiency.

α-Graphyne nanotubes as a promising material for Li-ion battery anodes

Developing high storage capacity of lithium-ion batteries (LIBs) by applying novel anodes based on nanostructures has been allocated to extensive research. Although, SP2-hybrid carbon nanostructures exhibit a low storage capacity, a two-dimensional (2D) graphyne (Gy) monolayer is proved to be an efficient electrode material due to its large surface area and significant mechanical and chemical properties. Herein, a derivative of Gy called α-graphyne nanotube (αGyNT) is proposed as the anode material of LIBs, in which the adsorption of lithium (Li) on Gy nanobelt (GyNB) (one-segment) and short open-ended GyNTs with different lengths are modeled by implementing of ab initio first-principles calculations. Lithium diffusion behaviors inside and outside of GyNTs has been investigated by ab initio molecular dynamics (ABMD) to calculate open-circuit voltage. The results reveal that Li adsorption energies of short αGyNTs have no regular oscillatory dependence on the number of segments along the tube axis (length of the tubes). Furthermore, the largest storage capacity of C4Li4 (1273.75 mAh/g) was obtained for (4, 4) αGyNTs, which demonstrate better storage capacity compared to single/multiple graphyne nanostructures. The curvature of αGyNTs can enhance the diffusion of Li atoms and leads to promote storage capacities, which suggest these anode materials improve LIBs's performance.

Potential Applications of Metal‐Doped Nanomaterials for Enhancing Solid‐State Hydrogen Storage

AbstractHydrogen energy is the primary replacement for fossil fuels in the future because of its advantages in terms of efficiency, cost‐effectiveness, and environmental friendliness. The fundamental issue with hydrogen, however, arises from its exceedingly low volumetric density; thus, developing efficient storage methods is critical to achieving a sustainable hydrogen economy. Hydrogen storage has demonstrated tremendous potential as a possible alternative for effective large‐scale storage. Due to their low cost, and high volumetric and gravimetric capacities, metal hydride‐based storage is considered the most prospective solid‐state storage material. Their low storage capacity nevertheless restricts their application effectively. Hence, the need to enhance the storage capacity by doping active metals becomes an interesting study area. With considerable success, metals, particularly transition metals, have been used to modify hydrides to improve their storage capacities. Owing to their strong and superior performance, active metals have demonstrated tremendous potential in increasing the performance of storage materials. This review critically examined recent developments in enhancing hydrogen storage characteristics through the incorporation of active metals. The preparation techniques for metal infiltration through different techniques, such as impregnation, ball/mechanical milling, and reflux were reported. The review describes significant advances in hydrogen storage characteristics due to metal doping and offers perspective recommendations for future research.

The surface and interlayer modification of montmorillonite and its potential application for thermal energy storage

Phase change materials (PCMs) could take full advantage of clean and renewable energy, because of their ability to convert and store various energy. However, due to the leakage and low heat storage capacity, the large-scale commercial application of PCMs is seriously limited. In this work, natural montmorillonite (MMT) was modified by organic amine coupling agent that was assembled into the interlayer of MMT. The energy storage performance and the stability of composite PCMs were significantly improved by using a novel frame of MMT encapsulated Paraffin (PA). The MMT-KH550-HAc/PA composite PCMs prepared by organic intercalation provides suitable pore structure and hydrophilicity to encapsulate more PA, resulting in the highest latent heat capacity (150 J/g) that is significantly increased by 144.1% from 60 J/g. Meanwhile, the energy storage stability of MMT-KH550-HAc/PA is also improved, and the latent heat of phase change is reduced by 3.2% after 100 cycles. The present MMT-KH550-HAc/PA has remarkable latent heat capacity and energy storage stability, which can be potentially applied to the solar water heaters.

Composite of CoS1.97 nanoparticles decorated CuS hollow cubes with rGO as thin film electrode for high-performance all solid flexible supercapacitors

Stretchable flexible thin-film electrodes are extensively explored for developing new wearable energy storage devices. However, traditional carbon-based materials used in such independent electrodes have limited practical applications owing to their low energy storage capacity and energy density. To address this, a unique structure and remarkable mechanical stability thin-film flexible positive electrode comprising CoS1.97 nanoparticles decorated hollow CuS cubes and reduced graphene oxide (rGO), hereinafter referred to as CCSrGO, is prepared. Transition metal sulfide CoS1.97 and CuS shows high energy density owing to the synergistic effects of its active components. The electrode can simultaneously meet the high-energy density and safety requirements of new wearable energy storage devices. The electrode has excellent electrochemical performance (1380 F/g at 1 A/g) and ideal capacitance retention (93.8 % after 10,000 cycles) owing to its unique three-dimensional hollow structure and polymetallic synergies between copper and cobalt elements, which are attributed to their different energy storage mechanisms. Furthermore, a flexible asymmetric supercapacitor (FASC) was constructed using CCSrGO as the positive electrode and rGO as the negative electrode (CCSrGO//rGO), which delivers an energy density of 100 Wh kg−1 and a corresponding power density of 2663 W kg−1 within a voltage window of 0–1.5 V. The resulting FASC can power a light-emitting diode (LED) at different bending and twisting angles, exerting little effect on the capacitance. Therefore, the prepared CCSrGO//rGO FASC devices show great application prospects in energy storage.

Nonstationary recharge responses to a drying climate in the Gnangara Groundwater System, Western Australia

The response of groundwater recharge to climate change needs to be understood to enable sustainable management of groundwater systems today and in the future, yet observations of recharge over long-enough time periods to reveal responses to climate trends are scarce. Here we present a meta-analysis of 60 years of recharge studies over the Gnangara Groundwater System of South-West Western Australia, covering a period of sustained drying consistent with climate change projections. The recharge process in the area is defined by a wet winter during which rain saturates a deep, highly permeable soil profile with very low water storage capacity. Measurements of recharge since the 1960s show near-linear reductions in potential recharge of 50%, in response to a 20% reduction in rainfall. For the best-represented land cover in the dataset (Banksia woodland), the reduction in potential recharge was closer to 70%. A simple analytical model suggests that reductions in the duration of winter, coupled with a decreased frequency of winter storms, were most responsible for these declines, and reveals the potential for nonlinear relationships between the recharge fraction (recharge/precipitation) and climatic variables such as mean storm frequency, mean storm depth, and the length of the winter wet season. Overall, results suggest that recharge declines in drying Mediterranean groundwater systems are likely to outstrip the declines in rainfall, and that leveraging existing observation networks worldwide to characterise recharge responses to changing climate is needed to overcome existing interpretation challenges created by inconsistent sites, methods and durations of recharge estimation.