A Water Quality Forecaster using citizen observatories

使用公民观测站的水质预报员水质预报员将建立在nerc资助的POLLCURB项目（www.pollcurb.ceh.ac.uk）、新兴技术和公民观测站的最新发展的基础上。最初的探路者项目将探索公共、私人和非政府组织合作伙伴的支持机制，以开展更大规模的项目，改善英国河流的水质诊断和监测，特别关注泰晤士河下游。探路者项目将：1。确定最相关的利益相关者，从预测河流质量模型的产出中获得改善和及时的河流水质信息将是有价值的。确定新传感器技术和社区科学家参与的最佳组合，以提高模型输出，并为改善集水区管理建立当地支持3。探索在线平台和新工具，使利益相关者能够实时访问预测结果和信息，以支持决策。该项目将侧重于为POLLCURB项目中所有三个合作伙伴正在进行的活动提供支持，探索城市范围的长期变化对泰晤士河下游集水区水流和水质的影响。对于探路者，CEH研究人员和合作伙伴将优化POLLCURB项目产品，以供潜在的私人、公共和非政府组织最终用户使用。这将需要与合作伙伴（研讨会）进行互动，通过扩大网络收集更多数据，并优化传感器和在线技术。工作计划的执行期限为6个月。

A Water Quality Forecaster using citizen observatoriesThe Water Quality Forecaster will build upon the NERC-funded POLLCURB project (www.pollcurb.ceh.ac.uk), emerging technologies and recent developments in citizen observatories. The initial Pathfinder project will explore the mechanisms of support from public, private and NGO partners towards a larger scale programme to improve water quality diagnostics and monitoring of UK rivers, with specific focus on the Lower River Thames. The Pathfinder project will: 1. identify the most pertinent stakeholders for whom outputs from predictive river quality models for an improved and timely information on river water quality would be of value.2. define the optimal combination of new sensor technologies and community scientist participation to improve model output and build local support for an improved catchment management3. explore online platforms and new tools to allow stakeholders real-time access to forecasting results and information for decision support. The project will focus on building support for the ongoing activities of all three partners arising from the POLLCURB project, exploring the impacts of long term changes in urban extent on water flows and quality in the lower Thames catchment. For the Pathfinder, CEH researchers and partners will optimise POLLCURB project products for use by potential private, public and NGO end users. This will require interactions with the partners (workshops), additional data collection through an expanded network and optimisation of sensor and online technologies. The workplan has a 6 month period of execution.