Impact of future environmental conditions on flood protection and transportation soil slope infrastructure

几乎每天的全球新闻都报道地球上一些地区正在经历或从极端天气条件中恢复过来。 在许多情况下，这些极端天气条件导致或促成某种形式的自然灾害。 加拿大近年来也经历了自然灾害，如1997年的红河洪水和1996年魁北克的萨格内洪水。 在这些极端事件期间，防洪系统采取行动，以尽量减少事件的影响，交通系统是通过部署资源和疏散公民来保护我们的社区的行动所必不可少的。许多人认为，极端天气事件的频率和规模正在增加。 全球变暖和气候变化往往被认为是极端天气事件增加的可能原因。 虽然有相当大的分歧，这些变化的起源，有越来越多的协议，气候变化正在发生的某种形式，需要考虑的工程师在设计，以确保我们的防洪和交通基础设施准备为未来的条件。本提案将开发工具，测量水分运动在两个地点在马尼托巴造成的当地天气条件。 将根据这两个地点的测量结果建立和校准一个数值模型。 该数值模型将用于预测拟议的气候变化模型对防洪和交通土壤边坡基础设施的影响。 利用预测结果，将开发一个决策支持工具，帮助规划人员和政府机构制定政策，根据极端天气事件期间可接受的风险水平升级防洪和交通基础设施。 这将有助于确保公共资金的最佳使用，以准备我们的防洪和运输基础设施，以应对环境设计条件的潜在未来变化。

Almost daily global news reports some area of the planet that is experiencing or recovering from extreme weather conditions.  In many cases these extreme weather conditions lead to or contribute to some form of natural disaster.  Canada has experienced its share of natural disasters in recent years such as the Red River Flood of 1997 and the 1996 Saguenay Flood in Quebec.  During these extreme events flood protection systems acted to minimize impacts of the events and transportation systems were essential for operations to protect our communities through deployment of resources and evacuation of citizens.Many argue that the frequency and magnitude of extreme weather events is increasing.  Global warming and climate change have often been identified as possible causes to the increase in extreme weather events.  Though there is considerable disagreement regarding the origin of these changes, there is growing agreement that climate change is occurring in some form and needs to be considered by engineers in design to ensure our flood protection and transportation infrastructure are prepared for future conditions.This proposal will develop tools to measure moisture movements at two sites in Manitoba caused by the local weather conditions.  A numerical model will be developed and calibrated based on the measurements from the two sites.  The numerical model will be used predict the impact of proposed climate change models on flood protection and transportation soil slope infrastructure.  Using the results of the predictions, a decision support tool will be developed to help planners and government agencies develop policies to upgrade flood protection and transportation infrastructure based on accepted risk levels during extreme weather events.  This will help ensure optimal spending of public funds to prepare our flood protection and transportation infrastructure for potential future changes in environmental design conditions.