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Application of environmental models to different hydrological systems

机译:环境模型在不同水文系统中的应用

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In recent years global problems such as climatic change, acid rain, and water pollution in surface and subsurface environments dominate discussions of world environmental problems. In this paper, the roles of hydrologic processes and hydrogeochemical processes are investigated through development, modification, and application of mathematical models for addressing point and non-point source water quality modelling of receiving waters: surface water, subsurface water and lake water. The paper describes the use of models to simulate the movements of pollutants and water: subsurface water, surface water and lake sediments. A hydrological model was applied to Northeast Pond River watershed to understand climate change effects in the watershed. Four watershed acidification models were applied to compute hydrogen ion, alkalinity and sulphate concentrations from Turkey Lakes watershed, Canada. The computed hydrogen ion was used to estimate acidic events, magnitude of hydrogen ion, and duration using a stochastic model. There exist uncertainties in environmental models due to imperfect knowledge of processes controlling water quality parameters as well as errors in data. Monte Carlo, first order, and inverse method analyses were used to assess uncertainty in models. SUTRA (saturated-unsaturated transport) and SUTRA(-1) models were applied to Lambton county, Ontario, Canada to locate groundwater discharge areas for St. Clair River, calculate discharge rates, and hydrogeologic parameters. A sediment contamination model was developed and applied to Great Lakes sediment data to estimate transport parameters by Pb-210 data. It was then coupled with fatty acid data and results were compared with observed data. A contaminant transport model was developed and applied to two North American streams to compute stream water concentration. The computed data was compared with observed data using a simple statistical method. A hydrological model was coupled with water quality models and RAISON (regional analysis by intelligent systems on) expert system and applied to Canadian watersheds. Digital satellite data was used to locate groundwater discharge and recharge areas in the watershed. This data is useful as observed data for hydrological modelling and GIS (Geographical Information System) system. (C) 2000 Elsevier Science B.V. All rights reserved. [References: 79]
机译:近年来,诸如气候变化,酸雨以及地表和地下环境中的水污染等全球性问题主导了对世界环境问题的讨论。在本文中,通过开发,修改和应用数学模型解决地表水,地下水和湖水等点水和非点源水质模型,研究了水文过程和水文地球化学过程的作用。本文介绍了使用模型来模拟污染物和水(地下水,地表水和湖泊沉积物)的运动。将水文模型应用于东北庞德河流域,以了解该流域的气候变化影响。应用了四个流域酸化模型来计算来自加拿大火鸡湖流域的氢离子,碱度和硫酸盐浓度。计算的氢离子用于使用随机模型估算酸性事件,氢离子的大小和持续时间。由于控制水质参数的过程知识不完善以及数据错误,环境模型存在不确定性。使用蒙特卡洛,一阶和逆方法分析来评估模型中的不确定性。将SUTRA(饱和-不饱和运输)和SUTRA(-1)模型应用于加拿大安大略省的兰布顿县,以定位圣克莱尔河的地下水排放区域,计算排放率和水文地质参数。建立了沉积物污染模型,并将其应用于大湖沉积物数据,以通过Pb-210数据估算运输参数。然后将其与脂肪酸数据相结合,并将结果与​​观察到的数据进行比较。开发了污染物迁移模型,并将其应用于两个北美溪流以计算溪流水浓度。使用简单的统计方法将计算的数据与观察到的数据进行比较。水文模型与水质模型和RAISON(通过智能系统进行区域分析)专家系统相结合,并应用于加拿大流域。数字卫星数据用于定位流域中的地下水排放和补给区域。该数据可用作水文建模和GIS(地理信息系统)系统的观测数据。 (C)2000 Elsevier Science B.V.保留所有权利。 [参考:79]

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