Fonseka Panchali U, Zhang Hongsheng, Premasiri Ranjith, Samarasuriya Chaminda, Rathnayake Upaka
Department of Earth Resource Engineering, Faculty of the Engineering, University of Moratuwa, Katubedda, 10400, Sri Lanka.
Arthur C Clarke Institute for Modern Technologies, Katubedda, 10400, Moratuwa, Sri Lanka.
Environ Monit Assess. 2025 Jan 27;197(2):199. doi: 10.1007/s10661-025-13648-9.
Climate change has become an emerging topic, leading to widespread damage. However, when considering climate, attention is drawn to various scales, and urban microclimate has emerged as a trending subject due to its direct relevance to human living environments. Among the microclimatic factors, temperature and precipitation are utilized in order to identify trends. The identification of changes in precipitation and temperature from ground stations poses difficulties due to the lack of well-distributed stations; thus, satellite-based products are gaining popularity. The satellite products were validated against ground data, following which time-series and spatial analyses were conducted. The rainfall anomaly index, seasonality index, heat wave magnitude index, and mean temperature differ in the Colombo Metropolitan Area compared to the entire country. Each index is calculated decadal-wise to identify trends. By utilizing four climate indices, the analysis endeavors to investigate the microclimate identification in Colombo Metropolitan Area compared to its surrounding areas such as the Western Province and the entire country. This study aids local authorities in mitigating climate change by enhancing city resilience. These findings underscore the importance of understanding and addressing the impacts of climate change on temperature extremes to mitigate potential adverse effects on human activities and the environment. Understanding the specific reasons for spatial changes in rainfall anomalies often necessitates extensive climate modeling and data analysis.
气候变化已成为一个新兴话题，造成了广泛破坏。然而，在考虑气候时，人们关注到各种尺度，城市微气候因其与人类居住环境直接相关而成为一个热门话题。在微气候因素中，温度和降水被用于识别趋势。由于地面观测站分布不均，从地面观测站识别降水和温度变化存在困难；因此，基于卫星的产品越来越受欢迎。这些卫星产品与地面数据进行了验证，随后进行了时间序列和空间分析。与整个国家相比，科伦坡大都市区的降雨异常指数、季节性指数、热浪强度指数和平均温度有所不同。每个指数按十年计算以识别趋势。通过利用四个气候指数，该分析旨在研究科伦坡大都市区与其周边地区（如西部省份和整个国家）相比的微气候识别情况。本研究有助于地方当局通过增强城市复原力来缓解气候变化。这些发现强调了理解和应对气候变化对极端温度的影响以减轻对人类活动和环境潜在不利影响的重要性。了解降雨异常空间变化的具体原因通常需要广泛的气候建模和数据分析。
