首页期刊导航|Aqua: The quarterly bulletin of the International Water Supply Association
期刊信息/Journal information
Aqua: The quarterly bulletin of the International Water Supply Association
International Water Supply Association
International Water Supply Association
双月刊
0003-7214
Aqua: The quarterly bulletin of the International Water Supply Association/Journal Aqua: The quarterly bulletin of the International Water Supply Association
查看更多>>摘要:Nowadays, water infrastructure faces even more significant challenges during disasters. Disaster events of water infrastructure are often the result of the joint action of human activities and natural factors, and its mechanism is very complex. Therefore, deploying an effective monitoring and control system with intelligent equipment and technology integration is essential for disaster simulation analysis, especially in water conservancy projects and urban environmental systems. Using scientific and theoretical models, monitoring data, and computer technology in a synergistic manner becomes appealing and necessary. Preventing damage to water conservancy projects is the first priority for disaster prediction. As such, intelligent simulation techniques are increasingly important in disaster prevention analysis and mitigating water system challenges. This special issue aims to publish original research and review articles covering the latest developments in applying hazard analysis and simulation techniques for urban hydraulic engineering and water systems. The detailed contribution of each paper is highlighted in the following section.
查看更多>>摘要:In an era where sustainable resource management is paramount, the emergence of Al-based smart water management systems stands as a game-changer. These systems are revolutionizing our approach to water resource management, promising a more sustainable and efficient future. Water scarcity is a pressing global issue exacerbated by climate change and population growth. Traditional water management methods often fall short in addressing this challenge. AI-powered systems, however, use data-driven insights to optimize water distribution from sourcing to consumption. AI's ability to collect, analyze, and act upon vast amounts of data in real-time is a key feature of these systems. They process data on weather patterns, water quality, infrastructure conditions, and consumption trends, enabling accurate water demand predictions. This empowers utilities to make informed decisions on water allocation and distribution. Predictive analytics is crucial, allowing early detection of network issues like leaks and bursts and reducing water wastage. Early adopters have reported significant water loss reductions, saving both water and money. Al-based systems also empower consumers to make informed choices about water usage through smart meters providing real-time consumption data. This fosters water conservation and responsible use.
查看更多>>摘要:This work discussed the fabrication of polysulfone (PSF) ultrafiltration membranes with hydrophilic behaviour by adding branched polyethyleneimine (PEI) as an additive. By directly blending the base polymer and the additive in the organic solvent, the casting solution is prepared. An asymmetric ultrafiltration membrane was fabricated by the phase inversion method. The presence of PEI was confirmed by comparing the IR spectra of the plain PSF membrane and the modified PSF membrane. A scanning electron microscope was used for the comparison of morphological changes in plain and modified membranes. The membrane was characterised with respect to bovine serum albumin (BSA) adsorption, pure water flux, permeability, compaction factor, humic acid (HA) rejection, and water uptake. The fouling resistance behaviour is prompted due to the presence of hydrophilic PEI chains in the membrane. As a result, pure water flux and flux recovery ratio increased from 28.84 to 326.54 L/m~2h and from 0.526 to 0.954 L/m~2 hkPa for the modified membrane with respect to the plain membrane, respectively.
查看更多>>摘要:The rapidly growing world population, inadequate accessible freshwater resources, and frequent erratic changes in climate have stressed human beings and compelled them to take vital initiatives to prevent water wastage, water conservation efforts are also intensified in the world's largest water-consuming agriculture sector. The water use efficiency in agronomy has already been enhanced by the adoption of the drip irrigation method, intended to supply water directly to the crop, rather than the land around, thereby minimising water losses up to 70% occurring through evaporation and distribution. Mulching in association with drip irrigation in arid crop agronomy leads to mitigating vigorously water stress in agriculture. Mulch is a layer of natural or synthetic or combination material applied to the surface of the soil as a protective medium between the soil and the atmosphere. Entirely, it is an efficient medium for soil moisture conservation, and soil temperature control, adds nutrients to the soil by preventing leaching and more efficient use of fertilisers, resistor to erosion losses, suppressing the weeding and improving the visual look of landscapes. This review paper covers various aspects of mulch, emerging as a dynamic water and soil management tool without affecting the value of crops in agriculture.
查看更多>>摘要:Tunnel construction in karst strata with abundant water causes changes in the surrounding groundwater environment, which can easily trigger geological disasters such as mud and water inrush. How to accurately predict the groundwater ahead of tunnel excavation face is a highly challenging problem. In order to improve the detection accuracy of groundwater during the construction of a deep buried tunnel, the transmission and reflection process of seismic waves at the interface and the relationship between the reflection coefficient and seismic wave signal have been analyzed on the basis of a two-phase medium theory in this paper. The expression of seismic wave stress-response relationship associated with the instantaneous amplitude and instantaneous phase and frequency is established. Then the relationship between seismic wave attributes and groundwater seepage potential energy is derived by combining the fluid mechanics theory, which is used as the basis for the determination and identification of groundwater volume and classified, and a new technology of an advanced detection of groundwater by seismic waves is established. This method has been applied to the Zhanghuai Railway in China and quantitatively predicted the karst water and caves in the Tianqiaoshan Tunnel before excavation. The engineering test proves the reliability and advancement of this technology.
zerihun Getaneh WorknehErmias K. GebremedhinNathnael A. BeyeneNathnael M. Nigatu...
1697-1706页
查看更多>>摘要:A water distribution network's crucial feature is providing adequate water to meet the required demand with satisfactory performance. The objective of this study was to evaluate the hydraulic performance of the Yeka Abado supply zone in Addis Ababa and suggest corrective measures to the problems obtained through the evaluation. A computer model was created in WaterGEMS to simulate the water distribution network. An intermittent scenario was created based on customer meter data to check the ability of the system to meet the current demand in the study area. Two scenarios were developed to evaluate the system's ability to satisfy the current and future demands in a continuous supply. The model analysis results indicated that pressure below the acceptance criteria at some junctions during peak hours, shortly after the supply, had resumed during intermittent operations. The performance remained satisfactory at other time steps. Furthermore, analysis in a continuous supply scenario for predicted future flows in 2044 indicated that the system is unable to meet the increasing demands in the study area, requiring system expansion works at some point. The results for a continuous supply model for 2021 indicated an excellent performance, with almost all the acceptance criteria being met.
Padala Raja ShekarAneesh MathewArunabh PandeyAvadhoot Bhosale...
1707-1730页
查看更多>>摘要:Rainfall-runoff (R-R) analysis is essential for sustainable water resource management. In the present study focusing on the Peddavagu River Basin, various modelling approaches were explored, including the widely used Soil and water Assessment Tool (SWAT) model, as well as seven artificial intelligence (Al) models. The Al models consisted of seven data-driven models, namely support vector regression, artificial neural network, multiple linear regression, Extreme Gradient Boosting (XGBoost) regression, k-nearest neighbour regression, and random forest regression, along with one deep learning model called long short-term memory (LSTM). To evaluate the performance of these models, a calibration period from 1990 to 2005 and a validation period from 2006 to 2010 were considered. The evaluation metrics used were Ft2 (coefficient of determination) and NSE (Nash-Sutcliffe Efficiency). The study's findings revealed that all eight models yielded generally acceptable results for modelling the R-R process in the Peddavagu River Basin. Specifically, the LSTM demonstrated very good performance in simulating R-R during both the calibration period (R~2 is 0.88 and NSE is 0.88) and the validation period (R~2 is 0.88 and NSE is 0.85). In conclusion, the study highlighted the growing trend of adopting Al techniques, particularly the LSTM model, for R-R analysis.
Zaina Hussein MseliAlfred SaidGaduputi SankarannaWilliam John Mwegoha...
1731-1747页
查看更多>>摘要:Groundwater sustainability ensures groundwater development and uses to meet current and future needs without causing unacceptable environmental, economic, or social consequences, In semi-arid regions, water resources are typically limited, and water management is critical to ensure a sustainable water supply. Groundwater sustainability indexing is vital for groundwater management. The study used four indicators in six dimensions, i.e., quantitative and qualitative hydrogeology, environmental, social-economic, and political factors, to evaluate the sustainability of the aquifer in Makutupora basin, Dodoma, Tanzania. The resulting aquifer sustainability index is 0.59, with a 95% confidence interval between 0.3856 and 0.7944, showing that the aquifer is sufficiently sustainable. The hydrogeological analysis revealed that groundwater sustainability is promising, although groundwater use per capita is alarming. This study also recommends effective water management strategies, including improving water use efficiency, promoting water conservation, implementing policies to limit water withdrawals, and promoting alternative water sources such as recycled wastewater, especially for agricultural activities.
Sarjati SahooJnana Ranjan KhuntiaKamalini DeviB. Sree Sai Prasad...
1748-1769页
查看更多>>摘要:The present research focusses on a comparison of experimental and numerical approaches for flow over fixed artificial rigid grass bed channels. Various flow parameters like longitudinal velocity, depth-averaged velocity (DAV), boundary shear stress (BSS) and secondary current are analysed and compared with seven numerical models: standard, realizable and renormalization group (RNG) k-ε models and standard, shear stress transport (SST), generalized k-ω (GEKO) and Baseline (BSD k- ω models. To evaluate the strength of the seven applied models, the error analysis has been performed. It is found that the RNG k-ε and SST k-ω models provided better results for both the DAV and BSS prediction, but the RNG k-ε model is found to be the most suitable for predicting the DAV and the SST k-ω model for BSS as compared to the other models. For the longitudinal velocity profiles, both the RNG k-ε and SST k-ω models are found to provide good agreement with experimental results at the centre of the channel, whereas the SST k-ω model is more accurate near the wall. Overall, the SST k-ω model has predicted the results with good accuracy for all the flow parameters considered in the present study.
查看更多>>摘要:Flash floods present a significant risk to urbanized arid regions, and assessing their inundation patterns is crucial for effective disaster management. Extreme hydrologic events due to aridity and climate change are shaping human lives and major activities in numerous countries at an unprecedented pace. This study aims to assess flash floods from extreme storm events in an arid catchment using high-resolution data. The study applied two models on the event of a single storm, namely the IHACRES and AHP models. The observed flow was used for models' validation. The average flow output determined with the IHACRES model was approximately 0.47 m~3/s while the flow output resulting from the AHP model was 0.45 m~3/s. The efficiency showed that the IHACRES performed better in evaluating extreme events with an average of 0.88 while the AHP model showed an efficiency of 0.68. The quantitative simulation of both models is likely to have good applicability for simulating single storm events in arid catchments. The validated IHACRES and AHP models offer valuable tools for simulating flash flood. The study's outcomes have implications for flood management policy and infrastructure planning, ensuring a more resilient response to extreme flood events in arid regions globally.