Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability

K. M. Tahsin Kabir; Asif Aman Jihad; Mahin Montasir Afif; Md Mortuza Ahmmed; M. Mostafizur Rahman; Mufti Mahmud; Md Ashraful Babu

doi:10.1007/978-3-032-14772-1_10

Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability

K. M. Tahsin Kabir^*
, Asif Aman Jihad
, Mahin Montasir Afif
, Md Mortuza Ahmmed
, M. Mostafizur Rahman
, Mufti Mahmud
, Md Ashraful Babu

^*Corresponding author for this work

Department of Information and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Bangladesh faces major environmental challenges due to rapid industrialization and urbanization, which have increased greenhouse gas (GHG) emissions. This study analyzes the relationships between climate change indicators–such as temperature changes, rainfall patterns–and emissions of CO₂, CH₄, and SO₂. Using secondary data from government and private sources, we applied correlation and regression analyses to explore these links. Results reveal strong correlations: CO₂ emissions are closely tied to rising temperatures, while CH₄ and SO₂ emissions significantly affect precipitation and extreme weather events. Historical emission trends were used to project future climate scenarios. The findings emphasize the urgent need for policy reforms to reduce GHG emissions and support sustainable urban development. This research aids policymakers, urban planners, and stakeholders in advancing sustainable energy, environmental protection, and green technologies. Ultimately, it advocates for a low-carbon economy and resilient urban infrastructure to mitigate climate change impacts in Bangladesh.

Original language	English
Title of host publication	Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025
Editors	Nabendu Chaki, Papiya Debnath, Nabanita Das, Xin-She Yang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	107-117
Number of pages	11
ISBN (Print)	9783032147714
DOIs	https://doi.org/10.1007/978-3-032-14772-1_10
State	Published - 2026
Event	3rd International Conference on Data Analytics and Insights, ICDAI 2025 - Kolkata, India Duration: 28 Aug 2025 → 30 Aug 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1787 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	3rd International Conference on Data Analytics and Insights, ICDAI 2025
Country/Territory	India
City	Kolkata
Period	28/08/25 → 30/08/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Climate change
Correlation
GHG
Low-carbon economics
Regression

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-032-14772-1_10

Cite this

Tahsin Kabir, K. M., Jihad, A. A., Afif, M. M., Mortuza Ahmmed, M., Mostafizur Rahman, M., Mahmud, M., & Ashraful Babu, M. (2026). Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability. In N. Chaki, P. Debnath, N. Das, & X.-S. Yang (Eds.), Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025 (pp. 107-117). (Lecture Notes in Networks and Systems; Vol. 1787 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-14772-1_10

Tahsin Kabir, K. M. ; Jihad, Asif Aman ; Afif, Mahin Montasir et al. / Analyzing Climate Change and GHG Emissions in Bangladesh : A Statistical Approach to Environmental Sustainability. Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025. editor / Nabendu Chaki ; Papiya Debnath ; Nabanita Das ; Xin-She Yang. Springer Science and Business Media Deutschland GmbH, 2026. pp. 107-117 (Lecture Notes in Networks and Systems).

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abstract = "Bangladesh faces major environmental challenges due to rapid industrialization and urbanization, which have increased greenhouse gas (GHG) emissions. This study analyzes the relationships between climate change indicators–such as temperature changes, rainfall patterns–and emissions of CO2, CH4, and SO2. Using secondary data from government and private sources, we applied correlation and regression analyses to explore these links. Results reveal strong correlations: CO2 emissions are closely tied to rising temperatures, while CH4 and SO2 emissions significantly affect precipitation and extreme weather events. Historical emission trends were used to project future climate scenarios. The findings emphasize the urgent need for policy reforms to reduce GHG emissions and support sustainable urban development. This research aids policymakers, urban planners, and stakeholders in advancing sustainable energy, environmental protection, and green technologies. Ultimately, it advocates for a low-carbon economy and resilient urban infrastructure to mitigate climate change impacts in Bangladesh.",

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Tahsin Kabir, KM, Jihad, AA, Afif, MM, Mortuza Ahmmed, M, Mostafizur Rahman, M, Mahmud, M & Ashraful Babu, M 2026, Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability. in N Chaki, P Debnath, N Das & X-S Yang (eds), Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025. Lecture Notes in Networks and Systems, vol. 1787 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 107-117, 3rd International Conference on Data Analytics and Insights, ICDAI 2025, Kolkata, India, 28/08/25. https://doi.org/10.1007/978-3-032-14772-1_10

Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability. / Tahsin Kabir, K. M.; Jihad, Asif Aman; Afif, Mahin Montasir et al.
Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025. ed. / Nabendu Chaki; Papiya Debnath; Nabanita Das; Xin-She Yang. Springer Science and Business Media Deutschland GmbH, 2026. p. 107-117 (Lecture Notes in Networks and Systems; Vol. 1787 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tahsin Kabir, K. M.

AU - Jihad, Asif Aman

AU - Afif, Mahin Montasir

AU - Mortuza Ahmmed, Md

AU - Mostafizur Rahman, M.

AU - Mahmud, Mufti

AU - Ashraful Babu, Md

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Bangladesh faces major environmental challenges due to rapid industrialization and urbanization, which have increased greenhouse gas (GHG) emissions. This study analyzes the relationships between climate change indicators–such as temperature changes, rainfall patterns–and emissions of CO2, CH4, and SO2. Using secondary data from government and private sources, we applied correlation and regression analyses to explore these links. Results reveal strong correlations: CO2 emissions are closely tied to rising temperatures, while CH4 and SO2 emissions significantly affect precipitation and extreme weather events. Historical emission trends were used to project future climate scenarios. The findings emphasize the urgent need for policy reforms to reduce GHG emissions and support sustainable urban development. This research aids policymakers, urban planners, and stakeholders in advancing sustainable energy, environmental protection, and green technologies. Ultimately, it advocates for a low-carbon economy and resilient urban infrastructure to mitigate climate change impacts in Bangladesh.

AB - Bangladesh faces major environmental challenges due to rapid industrialization and urbanization, which have increased greenhouse gas (GHG) emissions. This study analyzes the relationships between climate change indicators–such as temperature changes, rainfall patterns–and emissions of CO2, CH4, and SO2. Using secondary data from government and private sources, we applied correlation and regression analyses to explore these links. Results reveal strong correlations: CO2 emissions are closely tied to rising temperatures, while CH4 and SO2 emissions significantly affect precipitation and extreme weather events. Historical emission trends were used to project future climate scenarios. The findings emphasize the urgent need for policy reforms to reduce GHG emissions and support sustainable urban development. This research aids policymakers, urban planners, and stakeholders in advancing sustainable energy, environmental protection, and green technologies. Ultimately, it advocates for a low-carbon economy and resilient urban infrastructure to mitigate climate change impacts in Bangladesh.

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KW - Low-carbon economics

KW - Regression

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SN - 9783032147714

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BT - Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025

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A2 - Debnath, Papiya

A2 - Das, Nabanita

A2 - Yang, Xin-She

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 28 August 2025 through 30 August 2025

ER -

Tahsin Kabir KM, Jihad AA, Afif MM, Mortuza Ahmmed M, Mostafizur Rahman M, Mahmud M et al. Analyzing Climate Change and GHG Emissions in Bangladesh: A Statistical Approach to Environmental Sustainability. In Chaki N, Debnath P, Das N, Yang XS, editors, Proceedings of International Conference on Data Analytics and Insights - ICDAI 2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 107-117. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-032-14772-1_10