Experimentation and modelling to improve water quality for fisheries and aquaculture

我的研究小组已经提出了新的方法来控制和管理含有商业价值物种的水生系统的水质。我现在的目标是对三种不同的处理系统进行研究，即1)。使用低成本的吸附剂现场处理道路径流中的重金属。模拟的道路径流中含有低水平但有毒的重金属，被排放到不同类型的处理床中。我们的测试表明，某些组合可以有效地将重金属去除到无毒的水平。尚待发现的是系统在不同降雨事件下的寿命和有效性。现场处理三文鱼网箱养殖的固体废物。在三文鱼养殖场下方放置一个屏蔽式装置，在固体废物进入周围环境之前将其捕获。我们的降解模型预测了废物随着时间和回收时间的积累情况。需要进一步研究，以确定与模型预测和使用屏幕对海底群落的影响相比较的实际累积率。3)。对池塘中溶解的废物进行低成本的处理。在密闭底部的鱼塘中，废水通过池塘过滤并收集回收。我们的研究提供了传输机制和收集潜力。还需要更多的研究来确定如何在不同的种群和环境条件下使用池塘过滤水。*在所有情况下，对处理系统的行为建模对于确定与可伸缩性和性能相关的问题都很重要。实验室实验和现场试验不仅是估计系统参数和测试系统随时间推移的性能的关键，而且还用于阐明这些具有多个输入和控制变量的复杂处理系统中的功能。如果“概念验证”研究成功，这些低成本技术可以为不同的水质问题提供可持续的解决方案，从而确保不同环境中具有商业价值的水生生物的良好水质。

My research group has produced new ways to control and manage water quality in aquatic systems containing species of commercial value. My aim now is to conduct research on three different treatment systems, namely 1). On site treatment of roadway runoff heavy metals using low-cost sorbents.  Simulated roadway runoff containing low but toxic levels of heavy metals is passed into different types of treatment beds. Our tests show that certain combinations are effective at removing the heavy metals to non-toxic levels. Yet to be discovered is system longevity and effectiveness under different rainfall events.      2). On-site treatment of solid waste from salmon sea cage aquaculture.  A screen-like device is placed below a salmon farm to trap the solid waste before it enters the surrounding environment.  Our degradation model predicts how the waste accumulates over time and recovery time. Further research is required to determine the actual accumulation rates as compared to model predictions and effect of using the screen on the sea floor community. 3). Low-cost treatment of dissolved waste material contained in a pond.  In a sealed-bottom fish pond, waste water is filtered through a bank and collected for recycling.  Our research has provided the transport mechanisms and collection potential.  More research is required to determine how the bank might be used to filter the water under different stocking and environmental conditions.   In all cases, modeling the behaviour of the treatment system is important for determining issues related to scalability and performance.  Laboratory experiments and field trials are key not only for estimating system parameters and testing system performance over time, but also for elucidating function in these complex treatment systems with multiple inputs and controlling variables. If the "proof of concept" research is sucessful, these low-cost technologies could provide sustainable solutions for diverse water quality issues, thereby ensuring good water quality for aquatic organisms of commercial value in diverse environments.