High resolution modelling of fate and transport of organic micropollutants and their effect on ecosystems in small rivers

有机微污染物的归宿和迁移及其对小河流生态系统影响的高分辨率模拟

• 批准号: 2276794
• 金额: --
• 依托单位: University of Bath
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2276794
• 关键词: resolution; modelling; fate; transport; organic

There is strong evidence to suggest that the growing presence of organic micro-pollution in our freshwater sources, such as pharmaceutical waste and pesticides, are harmful to aquatic life. The Environment Agency and water industry has put a lot of focus on developing a comprehensive source appointment model to monitor chemicals emissions (SAGIS-SAMIT). However, whilst these models exist on a national scale, the fate and behaviour of micro-pollutants in small dynamic river systems has never been accurately described. Highly dynamic systems can see a change in water flow and emission loads by orders of magnitude in a very short time. This means that the current models, that are based on simple dilution and first order kinetics, become inadequate at describing the system.My PhD project will aim to:(i) Develop a small-scale river model that couples hydrological and water quality modelling at high temporal and spatial resolution.(ii) Calibrate and validate the model for key micro-pollutants. In collaboration with Wessex water, a small river will be selected for a case study to collect the biological and chemical data needed.(iii) Use the model as a risk evaluation tool to identify time and location dependent risks to aquatic life and specific ecosystem functions. It will also be used to run multiple contingencies to predict the effects of abatement options. If my aims are successful, this model will give decision makers insight into the time dependent risk profile of micro-pollution in small rivers. This may lead to a reassessment of abatement strategies needed to comply with water quality regulations and maintain a safe supply of drinking water. Also, the possibility could exist to integrate my model into the SAGIS-SIMCAT modelling systems and therefore strengthen the nation-wide monitoring strategy. The project has relevance to NERC, the research council that funds the project because it seeks to address the key research themes of the GW4 FRESH centre for doctoral training. Specifically, this project aims to address the theme related to emerging global change risks to freshwater ecosystems.

有强有力的证据表明，我们的淡水资源中越来越多的有机微污染物，如制药废物和杀虫剂，对水生生物有害。环境署和水行业已经把很多重点放在开发一个全面的源任命模式，以监测化学品排放（SAGIS-SAMIT）。然而，虽然这些模型存在于全国范围内，但小型动态河流系统中微污染物的命运和行为从未得到准确描述。高度动态的系统可以在很短的时间内看到水流量和排放负荷的数量级变化。这意味着，目前的模型，这是基于简单的稀释和一阶动力学，在描述system.My博士项目的目标是变得不充分：（一）开发一个小尺度的河流模型，耦合水文和水质建模在高的时间和空间分辨率。(ii)校准和验证关键微污染物的模型。与威塞克斯水务公司合作，将选择一条小河进行案例研究，以收集所需的生物和化学数据。(iii)使用该模型作为风险评估工具，以确定对水生生物和特定生态系统功能的时间和位置相关风险。它还将用于运行多个应急计划，以预测减排方案的影响。如果我的目标是成功的，这个模型将使决策者深入了解在小河流微污染的时间依赖的风险概况。这可能导致重新评估遵守水质条例和维持安全饮用水供应所需的减排战略。此外，还有可能将我的模型纳入SAGIS-SIMCAT模型系统，从而加强全国范围的监测战略。该项目与NERC有关，NERC是资助该项目的研究理事会，因为它旨在解决GW 4 FRESH博士培训中心的关键研究主题。具体而言，该项目旨在探讨与淡水生态系统面临的新出现的全球变化风险有关的主题。