Abstract:
Climate Change is an alarming threat to human health and the earth's ecosystem. It increases the intensity, duration and frequency of hot weather in south Asia, the occurrence of heat waves has increased in Pakistan. A noticeable increase in the heat index has been observed throughout Pakistan, including the North West region. Peshawar, the capital of Khyber Pakhtunkhwa, has also witnessed rise in the heat index, ultimately effecting citizens lives. This study instigated the factors that contributed to the increased or decreased of the heat index in Peshawar. This research collected weather data, satellite images and vehicular data from the Environmental Protection Agency of Pakistan (EPA).This study is performing in three phases. In the first phase, multiple combinations of months and years are assessed to determine if any changes have occurred in the heat index. The second phase focuses on finding the attributes (monthly maximum) temperature (Temp), Rainfall (RF) and minimum Relative Humidity (RH) that are causing variations in the heat index. Machine learning models like Linear Regression, simple linear Regression, support vector machine regression, Multilayer Perception and Linear correlation are utilized to identify the facts. In the last phase, satellite images of landsat-5&8 are being utilized to determine factors causing variations in the heat index. Additionally we have evaluated the impact of air quality in the number of register vehicles in Peshawar district data. The result show that the highest heat index increase record is to 2.9374C. While in the second phase the maximum accuracy was 99.7%, it was concluded that relative humidity increases the heat index. In the third phase, the highest percentage of greenery was 70.67%, whereas the highest rate of barren land was 63.50%. It is observed that the increasing percentage of barren land is having a positive effect on the increase of relative humidity; besides, the rising number of vehicles in the region is deteriorating the air quality of Peshawar.
Page(s):
1-1
DOI:
DOI not available
Published:
Journal: Second International Conference on Computing Technologies, Tools and Applications (ICTAPP-24), June 4-6,2024 (Abstract Book), Volume: 0, Issue: 0, Year: 2024
Keywords:
Accuracy
,
Linear regression
,
Head Index
,
multilayer perceptron