Search Results (1,101)

Industrial process systems must reduce energy use and carbon emissions while maintaining productivity under binding constraints. Energy-use rights trading (EURT), also referred to as energy-consuming rights trading, energy quota trading, or energy-consumption permit trading, converts administrative energy-consumption control into tradable entitlements. This narrative and integrative review uses a transparent search-and-screening audit and reframes EURT primarily through the Chinese pilot experience, while using international energy-efficiency certificate and obligation schemes as comparative context. The review examines how quota scarcity, quota prices, monitoring, reporting and verification, trading liquidity and policy coordination may influence process-level energy management, production scheduling, heat integration, waste-heat recovery, equipment renewal, fuel substitution, electrification, digital monitoring and low-carbon retrofit decisions. It compares EURT with carbon-emissions trading, pollution-permit trading, white-certificate or energy-efficiency-obligation schemes, water-rights trading and renewable-energy certificates. Evidence suggests that EURT can support pollution reduction, carbon mitigation, and green productivity improvement when quota scarcity is binding, markets are liquid, monitoring is reliable, and policy coordination is credible, but findings remain heterogeneous and vulnerable to contamination from overlapping policies. A stylized process-system illustration shows how quota prices can alter the ranking of retrofit investments. Future research should integrate transaction records, equipment-level energy data, process simulation and multi-policy identification strategies. Full article

Taxing multinational corporations raises significant government revenue to support progress towards the Sustainable Development Goals (SDGs).This study examines Philips, a multinational corporation that publicly reports country-by-country data on revenue, profits, taxes, employees and tangible assets, using the Government Revenue and Development Estimations (GRADE) econometric model to estimate the development impact of its corporate income tax contributions. Tax payments do not always reflect actual economic activity in host countries due to profit shifting. This study also assesses the degree to which reported profits align with economic activity. Results indicate Philips’ tax payments make a meaningful positive contribution to sustainable development: government revenue equivalent to these payments enables over 1100 additional children to attend school daily and advances SDG progress on basic water (8100 people), sanitation (13,400 people), clean fuels (28,000 people) and electricity (1700 people). However, analysis reveals some misalignment between reported profits and economic activity across countries, suggesting unrealised potential in Philips’ development contribution. Modelling a reallocation of taxing rights to host countries where economic activity occurs using unitary tax with formulary apportionment indicates that annual tax payments may average $78 million higher in constant 2015 USD, potentially enabling 900 more children to attend school and expanding access to basic water (6500 people), sanitation (9600 people), clean fuels (22,600 people) and electricity (7400 people). These findings highlight the value of transparent country-by-country reporting as a foundation for evidence-based tax policy reform and the significant development gains from Philips’ tax payments and greater gains if profits were better aligned with economic activity. Full article

This article systematically reviews natural disasters that occur globally and highlights their impact and associated challenges on the sustainable development of society and the economy. The presence of extensive research on the detrimental impact of natural disasters on mental health and other diverse elements of societal or economic well-being is found in this review. The study suggests that adversities can be minimized by employing the right public and private policies that support a post-disaster state, leading to enhanced disaster management initiatives and rehabilitation efforts. The PRISMA model was employed for the inclusion and exclusion criteria for the studies. Natural disasters being a threat to sustainability and the community’s well-being, the findings showcase the urgency to consider their long-term impact. Various forms of natural disasters that are due to disturbances related to land, water, air, or fire are considered in this study. The research scope aims towards worldwide sustainable development by gathering multiple inputs that enable changing the dynamics of disaster management. This study concludes with limitations and recommendations for future disaster preparedness and management in various scenarios. Full article

Size-exclusion chromatography (SEC) or gel-permeation chromatography (GPC) is an essential tool for determining the molecular weight and polydispersity of water-soluble polymers, including biopolymers used in hydrogels, sealants, bioinks, and other biomedical materials. However, aqueous SEC of polyelectrolytes, i.e., charged polymers, is often complicated by non-size interactions among polymer chains, porous column beads, pore surfaces, frits, tubing, and mobile phase. Salt addition to eluent is commonly used to screen these interactions, but the minimum salt concentration required to restore reliable SEC behavior remains poorly defined, and excessive salt may introduce tailing, refractive-index artifacts, deposits, or instrument concerns. In this study, aqueous SEC with refractive index (RI) and right-angle light scattering (RALS) detection was used to evaluate the effect of salt ($\mathrm{N}{\mathrm{a}}_2\mathrm{S}{\mathrm{O}}_4$) concentration on poly(ethylene oxide) (PEO), a nominally neutral reference standard polymer, and sodium alginate as a model anionic biopolymer. PEO retained a single bell-shaped peak across the tested salt range, but its elution volume and SEC/RALS-derived molecular weights varied slightly with salt concentration, showing that even a nominally neutral reference polymer is affected by mobile-phase conditions. Alginate showed much stronger salt dependence: eluent at very low salt concentration produced broad, noisy, and convoluted chromatograms, whereas increasing salt concentration progressively narrowed the main peak. The first condition that produced a clear, approximately symmetric RI/RALS main peak was $6.25\times {10}^{-3} \mathrm{M}$ $\mathrm{N}{\mathrm{a}}_2\mathrm{S}{\mathrm{O}}_4$, identifying it as the minimum effective salt concentration for this alginate/column/instrument system. To rigorously validate these observations, we propose a set of both qualitative and quantitative peak analyses that objectively confirm the optimal mobile-phase conditions. Ultimately, these results provide a practical workflow for identifying the minimum effective salt concentration required for reliable SEC analysis of water-soluble polymers. Full article

To enhance the meteorological forecasting and early warning service capability for urban waterlogging risks in Jinan, this study aims to investigate the relationship between rainfall and urban waterlogging. Based on minute-scale precipitation observations from 38 automatic weather stations and records from 70 waterlogging monitoring sites in the urban area of Jinan from 2011 to 2024, this study systematically analyzes the spatiotemporal characteristics of precipitation and waterlogging events and quantifies their response relationship. The main findings are summarized as follows. Heavy precipitation and waterlogging events are strongly temporally coincident, primarily occurring during the main flood season from June to August. Regarding diurnal variation, short-duration heavy rainfall and waterlogging events are concentrated between 14:00 and 20:00. The water depth of most waterlogging events ranges from 0.11 m to 1.04 m, with a median of 0.26 m, and the distribution of waterlogging exhibits a pronounced right-skewed pattern. A moderate positive spatial autocorrelation was observed in waterlogging depth, suggesting that severe urban waterlogging events are more likely to occur in the northern region of Jinan. The precipitation preceding waterlogging events is predominantly short-duration heavy rainfall. A strong temporal relationship exists between peak precipitation and maximum waterlogging depth. In nearly 90% of the waterlogging events, peak precipitation occurs within 2 h before the maximum waterlogging depth, with an average lead time of approximately 55 min. The relationship between antecedent cumulative precipitation and peak waterlogging depth is strongest at the 120 min timescale. About 90% of maximum rainfall over 10 min, 1 h, and 2 h did not exceed the 1-year return period threshold, indicating that the precipitation causing waterlogging events in Jinan is generally non-extreme. Full article

In the context of global climate warming, sea surface temperature (SST) rise and sea level (SL) rise are projected to amplify typhoon-related marine dynamic disaster risks. These are idealized sensitivity experiments designed to isolate the individual effects of SST warming and SL rise, not full climate projections. This study investigates Super Typhoon Doksuri (2023) using the WRF-SWAN-ROMS coupled model, with sensitivity experiments designed for SST (+0.8 °C, +2.0 °C, +3.5 °C) and SL rise (+0.4 m, +0.6 m, +0.8 m) scenarios referenced to IPCC AR6 projections. Results indicate that SST rise enhances typhoon intensity by approximately 16% at +3.5 °C, elevates mean wave height by 25.0%, and increases extreme significant wave height by 24.0%, with the extreme wave height sensitivity approximately 2.75 times that of the mean. Storm surge exhibits a nonlinear response, with the extreme surge sensitivity approximately 13.2 times that of the mean. SL rise has relatively minor effects on open sea areas but affects coastal regions notably, expanding the inundation area by approximately 47% under the 0.8 m scenario. The Taiwan Strait channeling effect amplifies wave heights and surges on the right side of the track. Comparative analysis suggests that SST indirectly amplifies disasters by enhancing typhoon intensity, while SL rise directly constrains nearshore dynamics through static water level elevation. These findings offer process-based insights into the contrasting physical mechanisms through which SST rise and SL rise affect coastal hazards in semi-enclosed regions and may inform future ensemble-based climate impact assessments. Full article

Well-point dewatering can rapidly lower the level of groundwater, making the capillary zone fall below the depth at which the subgrade is frozen. This can have the effect of inhibiting frost heave in the subgrade. This paper draws upon a project focused on treatment of the frozen section of the Shenmu–Shuozhou railway subgrade to present a method for calculating the dynamic groundwater level when pumping water using group wells. A dynamic groundwater seepage model is established, and the influence of the type of pumping wells, their layout, and spacing on variations in the groundwater level and the inhibition of frost heave in the subgrade is examined. This forms the basis of an optimal treatment plan for the frozen section of the Shenmu–Shuozhou railway. Simulation results show that a double row of wells along the route that fully penetrate the phreatic aquifer led to a large drop in the groundwater level, thus significantly inhibiting frost heave. Reducing the spacing of the wells enhances the dewatering effect and frost heave inhibition, but also reduces the strength and stability of the subgrade, so the right balance needs to be struck between the stability requirements and the frost-heave inhibition requirements. This research can serve as a reference for the treatment of frost heave in silty subgrades. Full article

Background: Small intestine bacterial overgrowth (SIBO) is associated with steatohepatitis (SH) in subjects with metabolic-associated steatotic liver disease (MASLD). The impact of ileocecal valve (ICV) incontinence, a major cause of SIBO in patients with MASLD, remains unknown because of the unmet need for a non-X-ray-dependent diagnosis. Methods: Exploiting water as contrast medium and colonic irrigation via a hydro-colon machine (Clean Colon Srl, Monza, Italy), we developed a new abdominal ultrasound (US) procedure for diagnosing and grading ICV incontinence. In a pilot, observational, feasibility and safety study, we correlated a new ICV incontinence parameter with irritable bowel syndrome (IBS, ROMA IV criteria), serum transaminases (AST, ALT), platelet counts, FIB-4, US liver steatosis and stiffness (LS, measured by Shear Wave and Transient Elastography, SWE and TE). Results: We prospectively studied 32 consecutive subjects with IBS who underwent a pre-colonoscopy colon cleansing after informed consent: 19 males (59%), body mass index (BMI) 26.6 ± 2.6 kg/m², age 57 ± 19 years, 16 (50%) with US liver steatosis. The half-hour (27 min, range 20–35 min) procedure was safe and well tolerated except in two males with prostate hypertrophy. ICV incontinence was graded (after 2500–3000 mL irrigation) according to cecum/right-colon distention with/without (immediate or delayed) reflux into terminal ileum (TI): 0 = cecum distension without TI reflux; 1 = cecum distension with TI reflux; 2 = absence of cecum distension with TI reflux. Cecum/right-colon distention (grade 0 or 1) was perceived by the patients whereas the right colon irrigation with complete ICV incontinence (grade 2) was symptomless. ICV continence associated with LS (p ≤ 0.0001). A histologic diagnosis of non-alcoholic steatohepatitis was confirmed in a 35-year-old obese male with SIBO and LS > 8 kPa (8.7/8.5 kPa by SWE/TE):steatosis (grade S3) with hepatocyte ballooning, lobular inflammation (grade 6/8) without fibrosis (stage 0/4, F0). Conclusions: The new US-based approach provides a feasible, easy-to-perform, mini-invasive tool for the diagnosis and grading of ICV incontinence. Preliminary results prompt prospective studies investigating the impact of ICV incontinence as a possible co-factor of steatohepatitis in patients with MASLD. Full article

To investigate the three-dimensional seepage response and safety implications of high concrete-face rockfill dams (CFRDs) under waterstop failure scenarios, this study establishes a refined three-dimensional finite element model for a high CFRD at the JD Hydropower Station using COMSOL (version 6.1) Multiphysics. A comparative analysis is conducted for six representative scenarios, including peripheral joint failure, single vertical joint failure, overall vertical joint failure, and combined failures. The seepage safety assessment is based on the phreatic surface, seepage discharge, hydraulic gradients in key zones, and left- and right-bank abutment bypass seepage. The results show that waterstop failure significantly changes the seepage field, phreatic surface, leakage discharge, and hydraulic gradients. Among the six scenarios, S5, representing overall vertical joint failure with an aperture of 0.5 mm for each of the 41 vertical joints, produces the most unfavorable leakage response, with the total seepage discharge reaching 3010.46 L/s and the water level behind the face slab reaching 3888.23 m. In contrast, peripheral joint failure mainly induces local hydraulic-gradient concentration in the special cushion zone. Under S1, the maximum hydraulic gradient in the special cushion zone reaches 2.72, exceeding the allowable value of 0.72. The results also reveal asymmetric bypass seepage around the dam abutments, with the right-bank foundation leakage being 90.4–137.7% higher than that on the left bank. These findings clarify the distinct seepage risk mechanisms of different waterstop failures and provide support for waterstop design, construction quality control, targeted monitoring, and operation-stage safety assessment of high CFRDs. Full article

Background: Health accessibility is a key determinant of equitable cancer care. In many countries, specialized oncology services are concentrated in urban and socioeconomically advantaged regions, forcing many patients to travel long distances for treatment. Consequently, geographic and social characteristics may be impactful in determining cancer healthcare outcomes. Objective: The aim of this study was to evaluate the association between the municipal-level Social Progress Index (SPI) and geographic travel burden, stage at diagnosis, treatment, and survival in patients with pancreatic cancer in São Paulo state, Brazil. Methods: We conducted a population-based study using data from “Fundação Oncocentro” on adults with pancreatic adenocarcinoma (2005–2025). The SPI (0–100 scale), a composite measure of municipal social and environmental development, was the primary exposure. It is structured into 3 dimensions and 12 components: Basic Human Needs (nutrition, medical care, water and sanitation, housing, safety); Foundations of Well-being (education, information access, health, environmental quality); and Opportunity (rights, freedom of choice, social inclusion, higher education). Municipal residence and cancer center locations were geocoded, and travel distance (km) was estimated. Multivariable Cox, logistic, and linear regression models assessed associations between SPI and overall survival, stage IV at diagnosis, surgery, and travel distance. Results: A total of 13,478 patients were included (mean follow-up 15.1 ± 27.2 months; mean age 62.3 years; 50.4% male). Stage IV disease was frequent (46.3%), and surgery was performed in 33% of cases. Over half of patients (53.2%) traveled more than 10 km for treatment. Increasing SPI was strongly associated with shorter travel distance (β −62.6 km per SPI unit; p < 0.001) and higher odds of surgery (OR 1.04; p < 0.001) and remained independently associated with a higher likelihood of undergoing surgical treatment (adjusted OR 1.04; p < 0.001). The proportion of stage IV disease did not decrease with increasing SPI and was slightly higher in the highest quartile (49.3%). In survival analysis, SPI demonstrated a protective effect in univariate modeling (HR 0.987; p < 0.001), but lost significance in multivariable analysis (p = 0.125). Travel burden was not retained as an independent predictor of survival after adjustment. Conclusions: Municipal-level SPI was a strong determinant of healthcare access and the likelihood of receiving surgical treatment for pancreatic cancer. Social and geographic vulnerability directly influence care pathways, revealing structural inequities in access to treatment. SPI-based stratification may serve as a practical tool to identify priority regions for transport support and equitable allocation of oncology services. Full article

Rock bolt corrosion can weaken support systems and affect the long-term stability of water-flooded roadways. This study investigates the symmetry evolution of roadway deformation induced by bolt deterioration in alkaline water-flooded roadways, using Sanxin Coal Mine, Xinjiang, as a case. Electrochemical accelerated corrosion tests were conducted in 10% Na₂SO₄ solutions at pH = 9, 11, and 13 for 3, 6, and 9 d, followed by uniaxial tensile tests and FLAC3D numerical simulations. Under the controlled accelerated electrochemical conditions, the mass loss rate and corrosion rate generally increased with corrosion duration, with the greatest deterioration observed in the pH = 13 group after 9 d. The tensile curves of corroded bolts still exhibited elastic deformation, yielding, strain hardening, and post-peak softening stages. However, the yield load decreased with increasing mass loss rate, with fitted slopes of −0.1842, −0.07531, and −0.04998 kN/% for pH = 9, 11, and 13, respectively. Numerical results showed that bolt deterioration intensified roadway deformation and stress redistribution. Under severe corrosion, the horizontal displacement of the two sidewalls reached approximately −153.7 mm and 155.4 mm, while the maximum roof subsidence and floor heave reached about −188.7 mm and 191.3 mm, respectively. The shallow stress release zone expanded, and the deep stress concentration became more pronounced. Moreover, bolt deterioration intensified the roadway response while largely preserving its left–right symmetry. The numerical results incorporating the experimentally derived bolt deterioration showed increased roadway deformation and stress redistribution, indicating that bolt-capacity degradation can adversely affect roadway stability. These findings provide a reference for evaluating residual support performance and designing reinforcement measures for water-flooded roadways. Full article

The impact of a commercial microbial population (product name “RAS Right”) on the off-flavours geosmin and 2-methylisoborneol (2-MIB) in water and fish of a recirculating aquaculture system (RAS) for Nile tilapia production was studied over five months. The “RAS Right” product contains a microbiome that is reported to reduce geosmin. In the system that received “RAS Right”, geosmin ranged from 1.6 to 171.2 ng/L, while 2.4 to 89.3 ng/L occurred in the control RAS. After fluctuations in the first two months, water in the control RAS had lower geosmin concentrations (mean of 8.8 ng/L) than the treated RAS (mean of 16.6 ng/L). 2-MIB was low (<4.3 ng/L) or undetectable in both the control and treated systems. In the fish, geosmin varied from 112 to 3683 ng/kg, with the highest levels measured in the treated RAS during three of eight samplings. 2-MIB in the fish ranged from 11.6 to 136 ng/kg and peaked in the treated RAS in one sampling. The results indicate that “RAS Right” did not produce a significant reduction of geosmin or 2-MIB in water or fish. However, optimisation of the treatment with respect to dose or addition frequency may improve its effect, though this remains to be examined. Full article

Flood discharge from the dam surface and tailwater discharge from the power station directly affect the hydrodynamic processes in the downstream river channel as well as at the entrance area of approaching channel, which are closely related to the navigation stability and safety of vessels entering or leaving the ship lock. To investigate the influence of different dam flood discharge operational scenarios on the hydrodynamic characteristics at the entrance of the downstream ship lock approach channel, a three-dimensional nested coupled CFD model is established for free surface flows with strong nonlinearity in the stilling basin and unsteady turbulent flows in the downstream channel of the Xiangjiaba Hydraulic Project. The model adopts the Reynolds-Averaged Navier–Stokes (RANS) equations for unsteady flows, combined with the Realizable k-ε turbulence model as well as the VOF free surface tracking method for stilling basin flow and the standard k-ε turbulence model for downstream river flow, respectively. Numerical investigations are conducted to clarify characteristics of river flows associated with the discharged flood from dam surface and tailwater from power stations under different flood discharge patterns. The results show that the balanced discharge scenario involving the combined operation of releasing the flood through the crest and middle outlets of both left and right stilling basins can significantly reduce flow velocity and water level fluctuations near the entrance of the approach channel. Optimizing flood discharge scheduling can effectively improve flow conditions at the entrance area, which is beneficial to enhancing navigation safety for ships. Full article

The most important input for modelling the water flow in an inundation area is the Digital Terrain Model (DTM). The significance of DTM accuracy increases with activities related to the re-opening of floodplains to rivers, according to the Biodiversity Strategy 2030 issued by the European Committee in 2022. In this study, three Digital Terrain Models were compared: two DTMs (fourth and fifth versions) generated as Czech standards by the State Administration of Land Surveying and Cadastre, and a purpose-built DTM created by the CzechGlobe institute, CAS. A series of hydraulic calculations were carried out combining the three DTMs with the set of discharges corresponding to return periods of 1, 5, 20, and 100 years. The “typical” inundation area on the right bank of the Morava River was chosen to compare the modelling results. DTM inaccuracy affected the hydraulic modelling results primarily when smaller discharges passed the inundation area, mostly due to DTM inaccuracies in local open channels and water-collecting ditches, which are poorly and erroneously depicted when using the less-accurate fourth- and fifth-version DTMs. This study also shows that there was no direct correlation between the locations of DTM inaccuracies and differences in water levels obtained via hydraulic modelling, which dropped with increasing flood discharge. The error in the calculated water level exceeded approximately 0.75 m for Q₁ and approximately 0.33 m for Q₁₀₀. The error depends on the morphology and segmentation of the floodplain, the configuration of the hydraulic model, local changes and human interventions in the area, and the type of DTM, the technology used, and its accuracy and resolution. This study contributes to assessment of the accuracy of hydraulic modelling in flood inundation areas and indicates how DTM accuracy affects hydraulic modelling outcomes. Full article

Getting soil moisture right matters for fighting drought and stopping land from turning into desert. Aiming at the problems of insufficient spatiotemporal modeling and redundant attention mechanisms in global soil moisture prediction, we built a new deep learning model called CTA-GraphConvLSTM to better capture how soil moisture changes across both space and time, and provide technical support for drought early warning, precision agriculture and water resource management. It combines graph convolutional networks to map geographic relationships and uses a 3D-SENet attention mechanism to pull out key temporal patterns. Using the LandBench dataset, we compared the proposed model with LSTM, GraphLSTM, and ConvLSTM across multiple lead times and drought levels. Performance was evaluated using root mean square error (RMSE) and R². The CTA-GraphConvLSTM achieved the highest predictive accuracy (R² = 0.555 for 1-day lead), outperforming ConvLSTM (R² = 0.444), LSTM (R² = 0.430), and GraphLSTM (R² = 0.088). This value reveals that the model can hardly explain the variance in the data and presents extremely poor prediction performance, performing just slightly better than a simple mean predictor. The comparison results fully verify that the proposed model has higher prediction accuracy. These results demonstrate the effectiveness of graph-scale spatiotemporal modeling for soil moisture prediction. Our research has direct practical applications: it can support precision agriculture by optimizing irrigation schedules, enhance water resource management through improved reservoir operation, and strengthen drought early warning systems, thereby contributing to sustainable land use and food security. Full article