Abstract:
This research aimed to investigate the impact of climate change on the frequency and intensity of natural disasters, particularly floods, focusing on the village Banguldero in District Larkana, Sindh, Pakistan. With increasing evidence of climate-induced natural disasters worldwide, such as floods, this study attempted to examine their impact. It concentrated on how these events have evolved in northwestern Sindh, a region highly vulnerable to climate change. The statistical investigation assessed the trends in flood disaster frequency and intensity due to climate change. It focused on analyzing the recurrent occurrence of climate-induced natural disasters in Sindh. Another primary objective was to assess the intensity of their impacts on local communities and infrastructure. The research answered key questions regarding how the frequency of flood disasters has changed over recent years. It also addressed the severity of the damage caused by these events. The employment of cluster sampling ensured diversity within the population of UC Banguldero, District Larkana, with 120 survey questionnaires administered. Endorsing the ethical and moral values, this study rigorously utilized primary data collection to the existing body of knowledge. Quantitative data were analyzed using the Statistical Package for Social Sciences (SPSS). The study found a strong, statistically significant positive correlation between climate change and both the frequency and intensity of flood disasters in village Banguldero, District Larkana. Regression analysis confirmed that climate change significantly predicts increases in both the frequency and intensity of floods, strengthening the study's hypothesis. This study intended to contribute to the existing base of knowledge on climate change impacts in District Larkana of northwestern Sindh. It provides salient findings for policymakers and disaster management authorities such as National Disaster Management Authority (NDMA) to boost climate adaptation and disaster response strategies in the region.
