Authors : Piyush Jagtap
Harsh Pandit
Hardik Kamble
Introduction to the problem:
Heat waves, characterized by prolonged periods of excessively high temperatures, have become a growing concern globally, especially during the summer months. These extreme weather events are often caused by climate change, urbanization, and other environmental factors. They disrupt ecosystems and pose significant challenges to public health, agriculture, infrastructure, and overall economic stability.
Objectives:
1. Safeguard public health
2. Raise community preparedness
Literature Review:
1. Impacts of the 2015 heat waves on mortality
This study aimed to assess the impacts of heat waves during the summer of 2015 on mortality in the Czech Republic and to compare them with those of heat waves back to the previous record-breaking summer of 1994. We analyze daily natural-cause mortality across the country’s entire population. A mortality baseline was determined using generalized additive models adjusted for long-term trends, seasonal and weekly cycles, and identified heat waves. ( Yulong et al,2023)
2. Increasing impact of summers
Extreme precipitation events (EPEs) and heatwaves (HWs) can trigger floods, droughts, and other natural disasters, resulting in severe socioeconomic losses in eastern China. However, the accurate links between EPEs and HWs and future changes in these extremes are not fully resolved, which potentially impedes disaster warning and preparedness efforts. This study examines historical and future changes in summer EPEs and HWs in eastern China based on observations and model outputs from
the Coupled Model Intercomparison Project Phase 6. The results show that EPEs and HWs in eastern China have increased in the past four decades and are projected to rise. ( ales Urban et al,2017)
Data Collection:
We designed five questions using a Likert scale to assess the impact of Heat waves in summer. A survey was conducted among 100 students from Kohinoor Business School through Google Forms. The response options included: Strongly Agree, Agree, Neutral, Disagree, and Strongly Disagree, which were assigned numerical values of 5, 4, 3, 2, and 1, respectively. For each question, we calculated the mean, standard deviation, standard error, and z-scores to analyze the responses. The five questions included in the survey were as follows:
1. I consume more water during summer
2. I avoid working outside between 12:00 pm and 4:00 pm
1. I consume more electricity in summer
2. I change my diet in the summer
3. My family plans a summer vacation
Data Analysis:
Survey responses from 100 students were analyzed using mean, standard deviation, standard error, and Z-scores.
|
Q1 |
Q2 |
Q3 |
Q4 |
Q5 |
|
|
Mean |
4.497080055 |
4.123988738 |
4.392179776 |
3.86084068 |
3.830657672 |
|
standard deviation |
0.92690469 |
1.170959657 |
0.958096905 |
1.222294805 |
1.305282176 |
|
standard error |
0.62690469 |
0.870959657 |
0.658096905 |
0.922294805 |
1.005282176 |
|
Z |
2.388050492 |
1.290517568 |
2.115463188 |
0.933368241 |
0.826293047 |
|
Result |
Positive |
Neutral |
Positive |
Neutral |
Neutral |
Conclusion :
1. People consume more water during summer
2. People are neutral towards avoid working outside between 12:00 pm and 4:00 pm
3. People consume more electricity in summer
4. People are neutral towards changing their diet in the summer
5. People are neutral towards family plans in summer vacation
Reference:
Yulong Yao & Wei Zhang & Ben Kirtman, 2023. “Increasing impacts of summer extreme precipitation and heatwaves in eastern China,” Climatic Change, Springer, vol. 176(10), pages 1-20, October.
Aleš Urban & Hana Hanzlíková & Jan Kyselý & Eva Plavcová, 2017. “Impacts of the 2015 Heat Waves on Mortality in the Czech Republic—A Comparison with Previous Heat Waves,” IJERPH, MDPI, vol. 14(12), pages 1-19, December.