Singapore and many of its neighbors have serious concerns about environmental quality and an adequate supply of clean freshwater.
As can be seen in the map above Singapore has a number of freshwater lakes some of which that are used as reservoirs to provide drinking water to Singapore. Preserving the quality of this water is important both insuring the essential supply of fresh water to inhabitants and to industry and to enhance the beauty of the City.
Below are examples of how Operations Research can be used in Singapore and in Asia this Environmental and Water Resouce area:
Optimization and statistical analysis of water inflow and its pathway through an urban watershed can be used to design more efficient ways to harvest water for multiple purposes and to preserve its quality.
A major source of water in Southeast Asia is groundwater but much of it has been lost because it is overly polluted. In addition excessive pumping of groundwater leads to subsidence which can cause sink holes and building collapse. OR analysis of groundwater models can improve understanding of the water balance and help determine how to best remediate contaminated groundwater or control subsidence issues.
Pollution of coastal waters can also be modelled. For example models of algal blooms have been used in the US to guide policies for restrictions on nitrogen use.
In addition safety issues like the integrity of pumping wells can possibly be analyzed by using signal processing information, which involves optimization and statistics. (Poor integrity of the casement can lead to fluid leaks into the ocean.)
Water pipe systems:
An elaborate system of thousands of pipes is necessary to distribute drinking water throughout any getting
Issues that separates (EWRS)
One of the issues that separates Environmental and Water Resources Systems (EWRS) examples from some of those arising in other areas, is that the systems being analyzed can be somewhat understood by utilizing highly technical knowledge of fluid mechanics, environmental chemistry/microbiology, atmospheric science, etc.
The scientific expression of this knowledge is typically captured in complex computer simulation model, often solving partial differential equations based on the principles of fluid mechanics,chemistry, etc.
Using the tools of operations research
Hence when using the tools of operations research (such as optimization or uncertainty quantification) the EWRS problem may be computationally challenging because each evaluation of the objective function may require a numerical solution of a complex nonlinear simulation model. As a result, the optimization problem can be multimodal (with multiple local minima) and computationally intense. Efficient methods like linear programming and nonlinear programming are sometimes not applicable for many environmental problems. So for multi-modal problems, this requires development of computationally efficient algorithms for global optimization (e.g. Mueller and Shoemaker, 2014).
OR and analytics can provide powerful tools for analyzing and improving methods for protection of the environment and the supply of clean fresh water supply around the globe. These are very challenging problems than can benefit from improved algorithms including those that utilize high performance computing for parallel algorithms.
||Prof Christine Shoemaker||Research Publications|
|Department of Civil and Environmental Engineering||SurrOgate MultiStart algorithm|
|Faculty of Engineering||SOP Parallel Surrogate Global Optimization|
|PhD (Mathematics), Southern California||Multi Objective Optimization|
|Research Areas and Areas of Expertise:||National & International Honors And Awards|
|Surrogate Global & Local Optimization,Algorithms for Efficient Distributed Computing||AAES National Engineering Award|
|Surrogate Uncertainty Quantification, Applications to Realistic Nonlinear Simulation models||Lifetime Achievement Award from American Society|
The current projects under take by the Environmental group are:
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