| Records |
| Author |
Benites Lazaro, L.L.; Bellezoni, R.; Puppim de Oliveira, J.; Jacobi, P.R.; Giatti, L. |
Title  |
Ten Years of Research on the Water-Energy-Food Nexus: An Analysis of Topics Evolution |
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Journal Article |
| Year |
2022 |
Publication |
Frontiers in Water |
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4 |
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THL @ christoph.kuells @ article |
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86 |
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| Author |
Abiye, T. |
| Title |
Synthesis on groundwater recharge in Southern Africa: A supporting tool for groundwater users |
Type |
Journal Article |
| Year |
2016 |
Publication |
Groundwater for Sustainable Development |
Abbreviated Journal |
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| Volume |
2-3 |
Issue |
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Pages |
182-189 |
| Keywords |
Arid and semi-arid areas, Groundwater recharge, Recharge estimation methods, Southern Africa |
| Abstract |
This synthesis on groundwater recharge targets the Southern African region as a result of the dependence of the community and economic sector on the groundwater resource. Several literature based recharge studies were collected and assessed in order to find out the main controls to the occurrence of recharge. The Water Table Fluctuation and Base flow separation methods have been tested in the catchment that drains crystalline basement rocks and dolostones close to the city of Johannesburg, South Africa. Based on the assessed data the Chloride Mass Balance method resulted in groundwater recharge of less than 4% of the rainfall, while it reaches 20%, when rainfall exceeds 600mm. For the classical water balance method, recharge proportion is less than 3% of rainfall as a result of very high ambient temperature in the region. Based on the Saturated Volume Fluctuation and Water Table Fluctuation methods, recharge could be less than 6% for annual rainfall of less than 600mm. Observational results further suggest that sporadic recharge from high intensity rainfall has important contribution to the groundwater recharge in the region, owing to the presence of permeable geological cover, which could not be fully captured by most of the recharge estimation methods. This study further documents an evaluation of the most reliable recharge estimation methods in the area such as the chloride mass balance, saturated volume fluctuation and water table fluctuation methods in order to successfully manage the groundwater resource. |
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2352-801x |
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THL @ christoph.kuells @ abiye_synthesis_2016 |
Serial |
101 |
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| Author |
Soh, Q.Y.; O’Dwyer, E.; Acha, S.; Shah, N. |
| Title |
Robust optimisation of combined rainwater harvesting and flood mitigation systems |
Type |
Journal Article |
| Year |
2023 |
Publication |
Water Research |
Abbreviated Journal |
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| Volume |
245 |
Issue |
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120532 |
| Keywords |
Rainwater harvesting, Flood mitigation, Robust stochastic optimisation, Sustainable environmental engineering, Decision tool, Urban residential estates |
| Abstract |
Combined large-scale rainwater harvesting (RWH) and flood mitigation systems are promising as a sustainable water management strategy in urban areas. These are multi-purpose infrastructure that not only provide a secondary, localised water resource, but can also reduce discharge and hence loads on any downstream wastewater networks if these are integrated into the wider water network. However, the performance of these systems is dependent on the specific design used for its local catchment which can vary significantly between different implementations. A multitude of design strategies exist, however there is no universally accepted standard framework. To tackle these issues, this paper presents a two-player optimisation framework which utilises a stochastic design optimisation model and a competing, high-intensity rainfall design model to optimise passively-operated RWH systems. A customisable tool set is provided, under which optimisation models specific to a given catchment can be built quickly. This reduces the barriers to implementing computationally complex sizing strategies and encouraging more resource-efficient systems to be built. The framework was applied to a densely populated high-rise residential estate, eliminating overflow events from historical rainfall. The optimised configuration resulted in a 32% increase in harvested water yield, but its ability to meet irrigation demands was limited by the operational levels of the treatment pump. Hence, with the inclusion of operational levels in the optimisation model, the framework can provide an efficient large-scale RWH system that is capable of simultaneously meeting water demands and reducing stresses within and beyond its local catchment. |
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0043-1354 |
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THL @ christoph.kuells @ Soh2023120532 |
Serial |
243 |
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| Author |
Hdeib, R.; Aouad, M. |
| Title |
Rainwater harvesting systems: An urban flood risk mitigation measure in arid areas |
Type |
Journal Article |
| Year |
2023 |
Publication |
Water Science and Engineering |
Abbreviated Journal |
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| Volume |
16 |
Issue |
3 |
Pages |
219-225 |
| Keywords |
Rainwater harvesting, Urban floods, Flood map, Hydrodynamic model, Built environment, Arid areas |
| Abstract |
Rainwater harvesting (RWH) systems have been developed to compensate for shortage in the water supply worldwide. Such systems are not very common in arid areas, particularly in the Gulf Region, due to the scarcity of rainfall and their reduced efficiency in covering water demand and reducing water consumption rates. In spite of this, RWH systems have the potential to reduce urban flood risks, particularly in densely populated areas. This study aimed to assess the potential use of RWH systems as urban flood mitigation measures in arid areas. Their utility in the retention of stormwater runoff and the reduction of water depth and extent were evaluated. The study was conducted in a residential area in Bahrain that experienced waterlogging after heavy rainfall events. The water demand patterns of housing units were analyzed, and the daily water balance for RWH tanks was evaluated. The effect of the implementation of RWH systems on the flood volume was evaluated with a two-dimensional hydrodynamic model. Flood simulations were conducted in several rainfall scenarios with different probabilities of occurrence. The results showed significant reductions in the flood depth and flood extent, but these effects were highly dependent on the rainfall intensity of the event. RWH systems are effective flood mitigation measures, particularly in urban arid regions short of proper stormwater control infrastructure, and they enhance the resilience of the built environment to urban floods. |
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1674-2370 |
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THL @ christoph.kuells @ Hdeib2023219 |
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242 |
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| Author |
Jamali, B.; Bach, P.M.; Deletic, A. |
| Title |
Rainwater harvesting for urban flood management – An integrated modelling framework |
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Journal Article |
| Year |
2020 |
Publication |
Water Research |
Abbreviated Journal |
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| Volume |
171 |
Issue |
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Pages |
115372 |
| Keywords |
Rainwater harvesting tanks, Urban flood simulation, Rapid flood inundation model, Urban flood risk mitigation |
| Abstract |
It is well known that rainwater harvesting (RWH) can augment water supply and reduce stormwater pollutant discharges. Due to the lack of continuous 2D modelling of urban flood coverage and its associated damage, the ability of RWH to reduce urban flood risks has not been fully evaluated. Literature suggests that small distributed storage spaces using RWH tanks will reduce flood damage only during small to medium flooding events and therefore cumulative assessment of their benefits is needed. In this study we developed a new integrated modelling framework that implements a semi-continuous simulation approach to investigate flood prevention and water supply benefits of RWH tanks. The framework includes a continuous mass balance simulation model that considers antecedent rainfall conditions and water demand/usage of tanks and predicts the available storage prior to each storm event. To do so, this model couples a rainfall-runoff tank storage model with a detailed stochastic end-use water demand model. The available storage capacity of tanks is then used as a boundary condition for the novel rapid flood simulation model. This flood model was developed by coupling the U.S. EPA Storm Water Management Model (SWMM) to the Cellular-Automata Fast Flood Evaluation (CA-ffé) model to predict the inundation depth caused by surcharges over the capacity of the drainage network. The stage-depth damage curves method was used to calculate time series of flood damage, which are then directly used for flood risk and cost-benefit analysis. The model was tested through a case study in Melbourne, using a recorded rainfall time series of 85 years (after validating the flood model against 1D-2D MIKE-FLOOD). Results showed that extensive implementation of RWH tanks in the study area is economically feasible and can reduce expected annual damage in the catchment by up to approximately 30 percent. Availability of storage space and temporal distribution of rainfall within an event were important factors affecting tank performance for flood reduction. |
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0043-1354 |
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no |
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THL @ christoph.kuells @ Jamali2020115372 |
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239 |
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