DROVE: An algorithm for the disaggregation of on-road mobile source emission inventories

DROVE: An algorithm for the disaggregation of on-road

mobile source emission inventories

C a r l o s D . G ó m e z ,

C a r l o s M . G o n z á l e z

, F r a n c i s c o J . G a r c ía , B e a t r i z H . A r i s t i z á b a l

G r u p o d e Tr a b a j o A c a d é m ic o e n I n g e n i e r ía H i d r á u l ic a y A m b i e n t a l

U n i v e r s i d a d N a c i o n a l d e C o l o m b i a S e d e M a n i z a le s

Latin America and Caribbean region:

81%

of people living in urban areas

(

North America:

82%

.)

In

Colombia

,

90%

of people are going to live in urban areas to year

2050

(UN projection)

Mobile source emissions

:

Main problem in cities in terms of

air quality

It is necessary to improve

Air Quality

Management Plans (PGCA):

Identification and estimation of emissions

from pollutant sources.

MADS, 2010; SIAC, 2011.

Air Quality Management Plans

Vehicular emissions disaggregation in medium-sized cities

❑

Few studies in South America

=> Cities with

population less than 1 million

inhabitants

❑

In

Colombia:

studies have focused on principal cities (Bogotá, Medellín) and few

medium-sized areas (e.g. Manizales, Envigado, CAR Municipalities).

❑

Problems such as the

lack of available information

:

Road network distribution,

vehicular traffic data.

Peñaloza, 2010; Gómez et al., 2018; Dávila, 2015; Londoño et al., 2011.

DROVE (Disaggregation of on-ROad Vehicle Emissions)

DROVE model structure

Required input

Optional input

Defined by user

DROVE internal estimation

Final product

Road

Network

Grid

Based on a desired

domain, e.g. cells of

1 km x 1 km.

Additional

information

If available, road

classification, traffic

flows.

Splitted Road

Network

Split the road segments

using the grid

Gridded

emissions

Dissagregation

Factor

Total

Emissions

Outputs

- Graphical

- Text file

DROVE model structure

Required input

Optional input

Defined by user

DROVE internal estimation

Final product

Road

Network

Grid

Based on a desired

domain, e.g. cells of

1 km x 1 km.

Additional

information

If available, road

classification, traffic

flows.

Splitted Road

Network

Split the road segments

using the grid

Gridded

emissions

Dissagregation

Factor

Total

Emissions

Outputs

- Graphical

- Text file

DROVE model structure

Required input

Optional input

Defined by user

DROVE internal estimation

Final product

Road

Network

Grid

Based on a desired

domain, e.g. cells of

1 km x 1 km.

Additional

information

If available, road

classification, traffic

flows.

Splitted Road

Network

Split the road segments

using the grid

Gridded

emissions

Dissagregation

Factor

Total

Emissions

Outputs

- Graphical

- Text file

DROVE model structure

Disaggregation factor:

Normalized data for each grid-cell or road segment, which represents the

magnitude of emission.

𝐷𝐹

𝑗,𝑘,𝑚,𝑡

=

𝛾

𝑗,𝑘,𝑚,𝑡

∗ 𝑙

𝑖,𝑗,𝑚

σ

₀

𝑖

𝛾

𝑗,𝑘,𝑚,𝑡

∗ 𝑙

𝑗,𝑚

𝐷𝐹

: Disaggregation factor

𝑙

: Length of road segment

𝑗

: Road segment or grid-cell id

𝛾

: Weighting factor

𝑘

: Vehicular category

𝑡

: Time (hour of the day)

DROVE model structure

Disaggregation factor:

Normalized data for each grid-cell or road segment, which represents the

magnitude of emission.

𝐷𝐹

𝑗,𝑘,𝑚,𝑡

=

𝛾

𝑗,𝑘,𝑚,𝑡

∗ 𝑙

𝑖,𝑗,𝑚

σ

₀

𝑖

𝛾

𝑗,𝑘,𝑚,𝑡

∗ 𝑙

𝑗,𝑚

𝐷𝐹

: Disaggregation factor

𝑙

: Length of road segment

𝑗

: Road segment or grid-cell id

𝛾

: Weighting factor

𝑘

: Vehicular category

𝑡

: Time (hour of the day)

This first version of DROVE contains 3 approximations:.

✓

Length of road segments

✓

Length of road segments weighted by type of road

✓

Length of road segments weighted by vehicular flow

DROVE. Available types of code

Base model build in ArcGis using

ModelBuilder

R code

Phyton

Application in the Andean medium-sized Manizales city

Altitude (m.a.m.s.l.) 2150

54 km

urban area

400436 inhab.

44.1 vehicles/100 inhabitants

MODELING

Biogenic volatile organic compounds in Colombia: First specialized model and

determining emission factors

(GEC G2 / Thursday, August 15 / 11:30

– 11:45)

MONITORING

Concentrations

and

gas-particle

partition

of

polycyclic

aromatic

hydrocarbons.

(GEC G2 / Thursday,

August 15 / 10:15

– 10:30)

Exposure to particulate matter in

microenvironments

related

to

transportation in Manizales

(Poster

session)

Study of the historical behavior of

particulate matter in Manizales and

analysis

of

the

relationship

PM

/PM

(Poster session)

EMISSION

SOURCES

Update

of

the

atmospheric

emission inventory

– year 2017

(Auditorium / Thursday, August

15 / 16:00

– 16:15)

Estimation of PM

and Black

Carbon emissions from on-road

vehicular sources

(Auditorium /

Thursday, August 15 / 16:30

–

16:45)

Application in the Andean medium-sized Manizales city

Emissions per grid-cell

Some applications

✓

Emission hotspots

Application in the Andean medium-sized Manizales city

Emissions per grid-cell associated

with a lat-lon centroid

Some applications

✓

Input file for air quality models

Compatible with the emissions

preprocessor:

Another Assimilation

System for WRF-Chem (AAS4WRF)

Application in the Andean medium-sized Manizales city

Road level emissions

Some applications

✓

Emission hotspots

✓

Analysis with ambient air quality data

✓

Integration of environmental and

transport policies

Ongoing work

✓

Final tests of temporal disaggregation algorithm

✓

R and Phyton code with QGIS

✓

Official publication: Open source code

Acknowledgments

CONVENIO INTERADMINISTRATIVO 107-2018

Corporación Autónoma Regional de Caldas, CORPOCALDAS

Grupo de Trabajo Académico en Ingeniería Hidráulica y Ambiental

Universidad Nacional de Colombia Sede Manizales

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THANKS

GRACIAS

Carlos David Gómez

[email protected]

Carlos Mario González

[email protected]

[email protected]