Data science approach for Climate Change in Saudi Arabia: Trend analysis

Faisal Turki; Fatma Masmoudi; Elham Kariri

doi:10.1109/WiDS-PSU57071.2023.00014

Data science approach for Climate Change in Saudi Arabia: Trend analysis

Faisal Turki
, Fatma Masmoudi
, Elham Kariri

Information Systems

Prince Sattam Bin Abdulaziz University

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

2 Scopus citations

Abstract

Climate change is among the most urgent issues of concern for global, national, and local societies in recent decades. Almost all scientists agree that sudden changes in climate and rising global temperatures are bad for our physical and ecological environments as well as the health and safety of our people, both now and in the future. Evidence suggests that heavy fuel use, urban development, changes in land use, and deforestation are the main causes of environmental anomalies like heat waves, storms, droughts, more rain, floods, and other types of extreme weather. In this paper, we are based on trend analysis to look at how the climate is changing in Saudi Arabia and figure out what is causing it.

Original language	English
Title of host publication	Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023
Editors	Amjad Rehman, Tanzila Saba, Nor Shahida Jamail, Rabia Latif
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781665477239
DOIs	https://doi.org/10.1109/WiDS-PSU57071.2023.00014
State	Published - 2023
Event	6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023 - Riyadh, Saudi Arabia Duration: 14 Mar 2023 → 15 Mar 2023

Publication series

Name	Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023

Conference

Conference	6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023
Country/Territory	Saudi Arabia
City	Riyadh
Period	14/03/23 → 15/03/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

analysis
climate change
correlation
humidity
linear regression
saudi arabia
temperature

Access to Document

10.1109/WiDS-PSU57071.2023.00014

Cite this

Turki, F., Masmoudi, F., & Kariri, E. (2023). Data science approach for Climate Change in Saudi Arabia: Trend analysis. In A. Rehman, T. Saba, N. S. Jamail, & R. Latif (Eds.), Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023 (pp. 1-6). (Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WiDS-PSU57071.2023.00014

Turki, Faisal ; Masmoudi, Fatma ; Kariri, Elham. / Data science approach for Climate Change in Saudi Arabia : Trend analysis. Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023. editor / Amjad Rehman ; Tanzila Saba ; Nor Shahida Jamail ; Rabia Latif. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1-6 (Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023).

@inproceedings{7888cab3ef7544b6a4619861bce932d2,

title = "Data science approach for Climate Change in Saudi Arabia: Trend analysis",

abstract = "Climate change is among the most urgent issues of concern for global, national, and local societies in recent decades. Almost all scientists agree that sudden changes in climate and rising global temperatures are bad for our physical and ecological environments as well as the health and safety of our people, both now and in the future. Evidence suggests that heavy fuel use, urban development, changes in land use, and deforestation are the main causes of environmental anomalies like heat waves, storms, droughts, more rain, floods, and other types of extreme weather. In this paper, we are based on trend analysis to look at how the climate is changing in Saudi Arabia and figure out what is causing it.",

keywords = "analysis, climate change, correlation, humidity, linear regression, saudi arabia, temperature",

author = "Faisal Turki and Fatma Masmoudi and Elham Kariri",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023 ; Conference date: 14-03-2023 Through 15-03-2023",

year = "2023",

doi = "10.1109/WiDS-PSU57071.2023.00014",

language = "English",

series = "Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--6",

editor = "Amjad Rehman and Tanzila Saba and Jamail, \{Nor Shahida\} and Rabia Latif",

booktitle = "Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023",

address = "United States",

}

Turki, F, Masmoudi, F & Kariri, E 2023, Data science approach for Climate Change in Saudi Arabia: Trend analysis. in A Rehman, T Saba, NS Jamail & R Latif (eds), Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023. Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023, Riyadh, Saudi Arabia, 14/03/23. https://doi.org/10.1109/WiDS-PSU57071.2023.00014

Data science approach for Climate Change in Saudi Arabia: Trend analysis. / Turki, Faisal; Masmoudi, Fatma ; Kariri, Elham.
Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023. ed. / Amjad Rehman; Tanzila Saba; Nor Shahida Jamail; Rabia Latif. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1-6 (Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023).

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

TY - GEN

T1 - Data science approach for Climate Change in Saudi Arabia

T2 - 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023

AU - Turki, Faisal

AU - Masmoudi, Fatma

AU - Kariri, Elham

PY - 2023

Y1 - 2023

N2 - Climate change is among the most urgent issues of concern for global, national, and local societies in recent decades. Almost all scientists agree that sudden changes in climate and rising global temperatures are bad for our physical and ecological environments as well as the health and safety of our people, both now and in the future. Evidence suggests that heavy fuel use, urban development, changes in land use, and deforestation are the main causes of environmental anomalies like heat waves, storms, droughts, more rain, floods, and other types of extreme weather. In this paper, we are based on trend analysis to look at how the climate is changing in Saudi Arabia and figure out what is causing it.

AB - Climate change is among the most urgent issues of concern for global, national, and local societies in recent decades. Almost all scientists agree that sudden changes in climate and rising global temperatures are bad for our physical and ecological environments as well as the health and safety of our people, both now and in the future. Evidence suggests that heavy fuel use, urban development, changes in land use, and deforestation are the main causes of environmental anomalies like heat waves, storms, droughts, more rain, floods, and other types of extreme weather. In this paper, we are based on trend analysis to look at how the climate is changing in Saudi Arabia and figure out what is causing it.

KW - analysis

KW - climate change

KW - correlation

KW - humidity

KW - linear regression

KW - saudi arabia

KW - temperature

UR - https://www.scopus.com/pages/publications/85163830466

U2 - 10.1109/WiDS-PSU57071.2023.00014

DO - 10.1109/WiDS-PSU57071.2023.00014

M3 - Conference contribution

AN - SCOPUS:85163830466

T3 - Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023

SP - 1

EP - 6

BT - Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023

A2 - Rehman, Amjad

A2 - Saba, Tanzila

A2 - Jamail, Nor Shahida

A2 - Latif, Rabia

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 14 March 2023 through 15 March 2023

ER -

Turki F, Masmoudi F , Kariri E. Data science approach for Climate Change in Saudi Arabia: Trend analysis. In Rehman A, Saba T, Jamail NS, Latif R, editors, Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1-6. (Proceedings - 2023 6th International Conference of Women in Data Science at Prince Sultan University, WiDS-PSU 2023). doi: 10.1109/WiDS-PSU57071.2023.00014

Data science approach for Climate Change in Saudi Arabia: Trend analysis

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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