Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities
This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse...
Ausführliche Beschreibung
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| Autor*in: |
Kongboon, Ratchayuda [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:343 ; year:2022 ; day:1 ; month:04 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jclepro.2022.130711 |
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ELV057065160 |
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| 520 | |a This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. | ||
| 520 | |a This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. | ||
| 650 | 7 | |a Municipalities |2 Elsevier | |
| 650 | 7 | |a Low carbon city |2 Elsevier | |
| 650 | 7 | |a Sustainable city |2 Elsevier | |
| 650 | 7 | |a Greenhouse gas inventory |2 Elsevier | |
| 650 | 7 | |a Greenhouse gas emissions |2 Elsevier | |
| 700 | 1 | |a Gheewala, Shabbir H. |4 oth | |
| 700 | 1 | |a Sampattagul, Sate |4 oth | |
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10.1016/j.jclepro.2022.130711 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001924.pica (DE-627)ELV057065160 (ELSEVIER)S0959-6526(22)00350-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Kongboon, Ratchayuda verfasserin aut Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. Municipalities Elsevier Low carbon city Elsevier Sustainable city Elsevier Greenhouse gas inventory Elsevier Greenhouse gas emissions Elsevier Gheewala, Shabbir H. oth Sampattagul, Sate oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:343 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2022.130711 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 343 2022 1 0401 0 |
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10.1016/j.jclepro.2022.130711 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001924.pica (DE-627)ELV057065160 (ELSEVIER)S0959-6526(22)00350-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Kongboon, Ratchayuda verfasserin aut Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. Municipalities Elsevier Low carbon city Elsevier Sustainable city Elsevier Greenhouse gas inventory Elsevier Greenhouse gas emissions Elsevier Gheewala, Shabbir H. oth Sampattagul, Sate oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:343 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2022.130711 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 343 2022 1 0401 0 |
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10.1016/j.jclepro.2022.130711 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001924.pica (DE-627)ELV057065160 (ELSEVIER)S0959-6526(22)00350-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Kongboon, Ratchayuda verfasserin aut Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. Municipalities Elsevier Low carbon city Elsevier Sustainable city Elsevier Greenhouse gas inventory Elsevier Greenhouse gas emissions Elsevier Gheewala, Shabbir H. oth Sampattagul, Sate oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:343 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2022.130711 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 343 2022 1 0401 0 |
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10.1016/j.jclepro.2022.130711 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001924.pica (DE-627)ELV057065160 (ELSEVIER)S0959-6526(22)00350-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Kongboon, Ratchayuda verfasserin aut Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. Municipalities Elsevier Low carbon city Elsevier Sustainable city Elsevier Greenhouse gas inventory Elsevier Greenhouse gas emissions Elsevier Gheewala, Shabbir H. oth Sampattagul, Sate oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:343 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2022.130711 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 343 2022 1 0401 0 |
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10.1016/j.jclepro.2022.130711 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001924.pica (DE-627)ELV057065160 (ELSEVIER)S0959-6526(22)00350-X DE-627 ger DE-627 rakwb eng 540 VZ 35.18 bkl Kongboon, Ratchayuda verfasserin aut Greenhouse gas emissions inventory data acquisition and analytics for low carbon cities 2022transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. Municipalities Elsevier Low carbon city Elsevier Sustainable city Elsevier Greenhouse gas inventory Elsevier Greenhouse gas emissions Elsevier Gheewala, Shabbir H. oth Sampattagul, Sate oth Enthalten in Elsevier Science Rajendiran, Rajmohan ELSEVIER Self-assembled 3D hierarchical MnCO 2020 Amsterdam [u.a.] (DE-627)ELV003750353 volume:343 year:2022 day:1 month:04 pages:0 https://doi.org/10.1016/j.jclepro.2022.130711 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 35.18 Kolloidchemie Grenzflächenchemie VZ AR 343 2022 1 0401 0 |
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A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. 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This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. |
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This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. |
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This paper studied greenhouse gas inventory data acquisition and analytics for municipalities in Thailand. A complete and transparent GHG inventory of eight municipalities was developed to document the current situation, and to help decision-makers to clarify their priorities for reducing greenhouse gas emissions. The Global Protocol for Community-Scale Greenhouse Gas Emissions Inventories guidelines was used to investigate and calculate the greenhouse gas emissions and assess data accuracy. The results indicated that the data source, data format, and data collection of each municipality are relatively similar. Moreover, the activity data needed to be obtained from several authorities. The results showed that Nonthaburi Municipality had the highest greenhouse gas emissions at 2,286,838 tCO2e/yr and Buriram Municipality, the lowest at 239,795 tCO2e/yr. On a per-capita basis, Lamphun Municipality was the highest with 10.1 tCO2e/capita and Buriram Municipality the lowest with 3.8 tCO2e/capita. The results suggest that the municipalities should continually develop a GHG database by creating a routine procedure. An information management system should be produced in the shape of big data which can lead to state policies, plans, and actions for city development to ensure the reduction of greenhouse gas emissions. This in turn will lead to a low carbon city. |
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