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Mesoscale Modelling for Air Pollution Applications (Meso-NET)

空气污染应用的中尺度建模 (Meso-NET)

基本信息

批准号：
NE/E002692/1
负责人：
Ranjeet Sokhi
金额：
$ 17.99万
依托单位：
University of Hertfordshire
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2007
资助国家：
英国
起止时间：
2007 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FE002692%2F1
关键词：
Mesoscale Modelling Air Pollution Applications

项目摘要

Meso-Net is a Network project over three years which brings together the science and user communities involved in air quality research and assessment. Mathematical models are a key tool for air quality research and policy support. Over the past few decades most models for air quality applications have been based on simpler approaches. Although these models require modest input data and computer performance, they include significantly simplified treatment of emissions, meteorology and atmospheric chemistry. However, a number of numerical models now exist that include a more complete treatment of atmospheric dynamics and chemistry for air quality applications on urban to regional scales. Although much effort has been devoted in this area internationally, UK on the whole has been slow to benefit from new modelling developments. Recently, research groups and users within the UK have started to adapt and use such models for air pollution research and assessment. Furthermore, initiatives are underway to further develop the Met Office's Unified Model for air quality and climate applications on a range of spatial scales. The overall aim of Meso-Net is to significantly improve the UK capability for developing and applying high resolution air quality mesoscale models to address the needs of policy, regulation and research. From the user perspective there is a need for integrated policies to reduce the impact of air pollution on different spatial and temporal scales. Meso-Net will encourage consistent and coherent approaches and will provide a framework to stimulate such work as well as carry out specific activities mentioned below. Meso-Net will establish robust communication and interaction mechanisms between the air quality, meteorological and climate research communities and policy, regulation and industrial users. It will strengthen knowledge transfer from the science community to users to provide new generation models to support policy and regulation needs. It will do this by establishing direct interaction between the science and user communities through workshops, working groups, seminars, exchange visits and training sessions. It will lead to practical frameworks for users and the research community to have access to the latest advanced models for solving air quality problems. Meso-Net will have a major impact in the following ways: (i) It will provide, for the first time, strategic coordination of a wide range of disparate activities in the UK on mesoscale modelling for air quality applications and a mechanism for users to derive maximum benefit from research developments in this area; (ii) It will coordinate the current support structures to address the needs of the growing advanced air quality modelling community; (iii) It will stimulate interaction between the different sections of the atmospheric science communities which hitherto have tended to work separately with separate goals; (iv) It will significantly enhance the international competitiveness of UK capabilities in high resolution modelling for air quality research and policy applications.

Meso-Net是一个为期三年的网络项目，汇集了参与空气质量研究和评估的科学界和用户群体。数学模型是空气质量研究和政策支持的重要工具。在过去的几十年里，大多数空气质量应用模型都是基于更简单的方法。虽然这些模型需要的输入数据和计算机性能不高，但它们包括对排放、气象学和大气化学的显著简化处理。然而，现在存在的一些数值模型，包括一个更完整的处理大气动力学和化学的空气质量应用在城市到区域尺度。尽管国际上在这一领域付出了很大努力，但英国总体上从新的建模发展中受益缓慢。最近，英国的研究小组和用户已经开始适应和使用这种模型进行空气污染研究和评估。此外，正在采取措施进一步开发气象局的统一模型，用于在一系列空间尺度上的空气质量和气候应用。Meso-Net的总体目标是大大提高联合王国开发和应用高分辨率空气质量中尺度模型的能力，以满足政策、监管和研究的需要。从用户的角度来看，需要采取综合政策，减少空气污染对不同空间和时间尺度的影响。Meso-Net将鼓励采取连贯一致的办法，并将提供一个框架，促进这类工作以及开展下述具体活动。Meso-Net将在空气质量、气象和气候研究界与政策、监管和工业用户之间建立强有力的沟通和互动机制。它将加强科学界向用户的知识转让，以提供新一代模型，支持政策和监管需求。为此，它将通过讲习班、工作组、研讨会、互访和培训班，在科学界和用户界之间建立直接互动。它将为用户和研究界提供实用框架，以获得解决空气质量问题的最新先进模型。Meso-Net将在以下方面产生重大影响：（一）它将首次为联合王国在空气质量应用中尺度模型方面的各种不同活动提供战略协调，并为用户提供一种机制，使其从这一领域的研究发展中获得最大利益; ㈡它将协调目前的支助结构，以满足日益增长的先进空气质量建模界的需要; ㈢它将促进大气科学界不同部门之间的互动，这些部门迄今往往为不同的目标而单独开展工作;（iv）这将大大提高英国在空气质量研究和政策应用高分辨率建模方面的国际竞争力。