GROUNDWATER MODELS | SURFACE WATER MODELS | |||||||||||||||||||||
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Analytic Models: Such as LANDSIM, CONSIM GFLOW or Visual AEM allow steady-state 2-D groundwater flow systems to be simulated using analytic functions. In these programs, a library of specialized “analytic elements” are superimposed to model a variety of features such as head of leachate, flow rates, engineered barriers, advective transport, contaminant concentration, drains, slurry walls, wells and reservoirs. The functions associated with these elements meet Darcy’s law and Mass Continuity equations everywhere in the domain. Some of these models such as LANDSIM and CONSIM are specially designed to produce estimates of possible contaminant concentrations using probabilistic assessment techniques (e.g. Monte Carlo Method). Numerical Models: Such as the U.S. Geological Survey’s (USGS) developed Modular Finite-Difference Flow Model (MODFLOW) provide the code for solving groundwater flow and contaminant transport in 3-D. Since its development in 1983, numerous codes or packages have been developed for MODFLOW. Packages can be stand-alone codes or can be integrated with MODFLOW. These packages include advective transport model (PMPATH), the solute transport model (MT3D), parameter estimation programs (PEST), solute transport model (MOC3D), inverse models (MODFLOWP) and seawater intrusion (SEAWAT). Software, such as iMOD or the Groundwater Modelling System (GMS), can be deployed that integrates these packages with analysis and calibration tools and 3D visualization capabilities into a single software environment. | Hydrological models provide conceptual representations of the hydrologic cycle. For civil engineering projects, they are particularly useful in solving and predicting return periods, flood discharges, flood volumes, the impact of floods and the design of engineering solutions to mitigate these risks. The Annual Exceedance Probability (AEP) describes the likelihood or chance a specific event will be exceeded in a given year. There are several ways to express AEP as shown in the table below. Probabilities of Exceedance
A Peak Flood having a 1 in 100-year (Q100) chance of occurring in any single year is a 1% AEP event. Bigger rainfall and storm events occur (are exceeded) less often than small events, and therefore have a smaller annual probability of occurring. This is also equated to risk of an event occurring: the smaller the event the bigger its risk of recurrence, e.g. “High Risk” can be equated to a Q5 event, a “Medium Risk” to a Q20 event and “Low Risk” to a Q100 event. Typical techniques for predicting Design Flood Discharges are: Design Flood Volumes can be calculated by creating a Unit Hydrograph (UH) for a particular storm event. A UH is the hypothetical unit response of a watershed (in terms of runoff volumes and timings) to a unit input of rainfall, which enables the time to peak-flood and time to flood-dissipation to be estimated for other storm events. 3D-Visualisation of flood inundation can be provided using HEC-RAS to see how these will impact a Project Site. HEC-RAS, developed by the US Army Corps of Engineers (USACE), is capable of modelling flow regimes (e.g. a network of channels, a dendritic system or a single wadi/river reach) along with the effects of bridges, culverts, weirs, and structures. Flood Damage Predictions are made by modelling a flood’s over-topping height, velocity and force when this strikes people or objects. Engineering solutions to mitigate these risks can then be advised as appropriate.BREEAM is the world’s longest established method for assessing and rating the sustainability of infrastructure and buildings and is the method deployed by this consultant for flood risk accreditation. | |||||||||||||||||||||