CLEEN's MMEA program organised an international seminar on cleaner air - Outdoor and indoor air quality together with Zhejiang University and assistant organizer Insigma group.
This is one of the keynote presentations in the seminar.
More info in www.mmea.fi
The cleantech field is expanding rapidly and Finnish companies are committed to working for a better environment in the fields of energy efficiency, air quality and monitoring. The world-class Cleantech know-how from Finland and the cooperation with Chinese partners and the results were highlighted in the MMEA seminar. Some of the leading Finnish cleantech companies together with Finnish and Chinese research institutions were present at the event. The seminars focused on cooperation between Finland and China concerning indoor and outdoor air quality and solutions to make them better.
Similar a Solutions for vehicular emission control and evaluation for urban aq attainment. 城市机动车污染控制措施与空气 质量改善效果评估技术与方法. Keynote from Prof. Mao Hongun (20)
Hexachlorocyclohexanes in tree bark across chinese agricultural regions spati...
Solutions for vehicular emission control and evaluation for urban aq attainment. 城市机动车污染控制措施与空气 质量改善效果评估技术与方法. Keynote from Prof. Mao Hongun
1. 城市交通污染防治研究中⼼心
毛洪钧
2015年5月15日杭州
城市机动车污染控制措施与空气
质量改善效果评估技术与方法
Interna,onal
seminar
on
cleaner
air
Outdoor
and
indoor
air
quality
Solu,ons
for
Vehicular
Emission
Control
and
Evalua,on
for
Urban
AQ
ACainment
3. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
1)开展机动车排放控制技术的科研工作;
Scien,fic
Research
on
Vehicle
Emission
Control
2)组织、参加国家、京津冀地区大气污染防治的重大项目;
Na,onal
Projects
on
air
Pollu,on
Control
in
Beijing-‐Tianjin-‐Hebei
Region
3)协助天津市机动车排污检控中心开展地方标准制修订等工作;
Coopera,on
with
Vehicle
Emission
Control
Center
in
related
work
Main
Work
南开⼤大学城市机动⻋车污染防治研究中⼼心主要⼯工作
天津市环保局机动车排放控制联合实验室
4. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
研究领域
Research
Fields
1)移动源污染防治措施效果评估研究;
Effects
Evalua,on
on
Controls
of
Mobile
Source
Pollu,on
2)高时空分辨率大气污染源排放清单;
High
Temporal-‐
spa,al
Resolu,on
Emissions
Inventory
3)智能交通与空气质量改善;
Improvement
of
Intelligent
Traffic
and
Air
Quality
4)城市及街区尺度大气环境数值模拟;
Numerical
Modeling
for
Atmospheric
Environment
in
Street
Scale
5)高精度道路交通排放源解析研究;
High
Resolu,on
Source
Appor,onment
for
Traffic
Emissions
6)机动车尾气排放污染物检测技术。
Technologies
for
Vehicle
Emission
Measurement
5. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
国家重⼤大专项
State
Main
Research
Program
• 973:“气溶胶-云-辐射数值模拟系统中排放源清单的建立”(2013-2015);
• 973:“空气颗粒物来源与人体暴露表征研究”(2013-2015);
• 863:“基于物联网的城市空气环境调控技术研究与应用”(2012-2014);
• 国家科技支撑:“京津冀区域大气污染物动态排放特征及更新机制研究(2015-2017)”;
• 科技基础性工作专项:“典型工业源和机动车排放PM2.5源谱库的编研(2013-2018)”。
• 科 技 部 中 欧 中 小 企 业 专 项 : “ 车 载 机 动 车 尾 气 排 放 快 速 测 量 系 统 的 合 作 研 发
(2013-2015);
• Na4onal
Basic
Research
Program
of
China
(973
Program):
Study
on
air
par4culate
maCer
source
and
human
exposure
characteris4cs(2013-‐2015)
• Na4onal
Basic
Research
Program
of
China
(973
Program):
Establishment
of
Emission
inventory
in
Aerosol-‐Cloud-‐Radia4on
Numerical
Simula4on
System
(2013-‐2015)
• Na4onal
High-‐tech
R&D
Program
of
China
(863
Program):
Research
and
applica4on
of
city
air
environmental
control
technology
based
on
internet
of
things
(2012-‐2014)
• Na4onal
Key
Technology
Research
and
Development
Program
of
the
Ministry
of
Science
and
Technology
of
China:
Study
on
air
pollutants
dynamic
emission
characteris4cs
and
update
mechanism
in
Beijing-‐Tianjin-‐Hebei
region
(2015-‐2017)
• Basic
Technology
Working
Project:
Emission
source
spectrum
edi4ng
and
research
on
PM2.5
discharged
by
typical
industry
and
vehicle.(2013-‐2018)
承担项⺫⽬目 Program
32. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
Pegasor PUAQ 泰华恒越
绿林Sensor 泰华恒越
NEXT: comparison test among different instruments
(since Mar 15th, 2015)
And Shanghai Kangbai
Science, Japan Fujitsu.
After the comparison test
of these instruments, the
tender offering of PALM
will begin soon.
35. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
输入参数:
1、AQI和污染物浓度
2、活动规律
3、气象数据(未来考虑引入)
输出参数:
呼吸道疾病患者就诊人数
Input
parameters:
1.
AQI
and
pollutant
concentra4ons
2.
Personal
regime
3.
Meteorological
data
(considered
in
future)
Output
parameters:
The
number
of
outpa4ent
who
suffered
respiratory
diseases
基于人工神经网络的健康预报模型
Health
model
based
on
ar,ficial
neural
networks
The
number
of
outpa4ent
who
suffered
respiratory
diseases;
X
and
Y
axis
represent
observa4on
and
predic4on
respec4vely
案例成果
Case
study
37. 城市交通污染防治研究中⼼心
背
景
介
绍
系
统
构
成
技
术
方
法
成
果
案
例
37
未来开展的⼯工作
Future
Work
1)机动车排放及道路扬尘源成分谱及清单建立;
Vehicular
emission
and
road
dust
source
profiles
and
inventory
2)基于监测和模拟的排放清单验证;
Verifica,on
of
emission
inventory
based
on
monitor
and
simula,on
3)基于大涡模拟的高分辨率空气质量模拟系统;
High
resolu,on
air
quality
simula,on
system
based
on
large
eddy
simula,on
4)交通排放污染物的排放与暴露人群健康研究;
Traffic
emission
vs
human
exposure
and
their
healthy
effect;
5)机动车排放模型与交通模型的在线耦合技术研究;
Vehicular
emission
modelling
online
integra,on
with
transport
modelling;
……