Sediment transport and surface water quality modeling of river-lake systems in Northwestern Ontario

由于最近的采矿活动和该地区的土地中断，采矿业排放到河流湖泊系统及其对安大略西北部地表水质量的影响引起了相当大的关注。DST咨询工程师拥有强大的研发部门（3名博士和7名科学家），目前在模拟细粒固体和污染物（如pH值、超温和尾矿池或建造蓄水池排放的溶解氧）的运输方面遇到了许多挑战。一旦考虑到冰盖对这些参数传输的影响，数值模拟就变得更具挑战性。 本提案的定义，以解决DST咨询工程师的需求，通过模拟污染传输的河流，湖泊系统，特别是在西北安大略。本研究项目的首要目标是使用合适的数值软件包来模拟河流的水动力学，并模拟不同类型的污染物在河湖系统中的传输。DST人员进行了许多实地研究，以模拟和监测许多项目的污染传输。数值模型系统将与现有的现场测量进行验证。经验证的模型将用于预测不同极端条件下的污染迁移。 该研究项目的成果将为DST咨询工程师和加拿大提供一个经过验证的模型，该模型可适用于所有矿山和矿产行业。使工业项目在经济上对我们的社会可行将对公共整体经济产生巨大影响。此外，本研究的优化结果防止从地表水（即河流和湖泊）或地下水资源中摄入额外的淡水。该项目的成果将为采矿和矿产行业提供许多机会，以采用经过验证的模型用于不同的设置和配置。

Effluent discharge from mining industries into river-lake systems and its impact on surface water quality in Northwestern Ontario has drawn considerable attention due to recent mining activities and land disruptions in this region. DST Consulting Engineers with a strong R&D department (3 PhDs and 7 Scientists) is currently experiencing many challenges in modelling the transport of fine solids and pollutants such as pH, excess temperature, and dissolved oxygen discharged from tailing ponds or constructed impoundments. Numerical modeling becomes more challenging once the impact of ice cover on the transport of those parameters is included. The present proposal is defined to address the needs of DST Consulting Engineers by modeling pollution transport in river-lake systems, particularly in Northwestern Ontario. The foremost objective of the present research project is to use suitable numerical packages to model the hydrodynamics of the river flow and to simulate the transport of different types of pollutant in a river-lake system. DST personnel conducted many field studies to model and monitor the pollution transport in number of projects. The system of numerical models will be validated with the existing field measurements. Validated models will be used to predict pollution transport in different extreme conditions. The outcome of this research project will offer DST Consulting Engineers and Canada a validated model that can be adapted for all mine and mineral industries. Making industrial projects economically viable for our society will have a dramatic impact on public overall economy. Additionally, the optimized results from this study prevent additional fresh water intake from either surface water (i.e, rivers and lakes) or ground water resources. The project's outcome will open up many opportunities for mining and mineral industries to adopt the validated model for different setups and configuration.