DETECTION OF DISCOMFORT INDEX WITH REMOTE SENSING TECHNOLOGY: THE CASE OF ANTALYA PROVINCE

Q2 Social Sciences
M. Şahingöz, S. Berberoglu
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Abstract

Abstract. Thermal adaptation and thermal comfort indices are critical in determining the thermal comfort of the outdoor environment. They also play an essential role in research on heat stress, an environmental threat that can affect individuals' productivity, health and even survival. Urban growth and the resulting expansion of impervious surfaces affect the thermal characteristics of a landscape by raising Land Surface Temperatures (LST). The resulting warming can lead to thermal discomfort, the prevalence of heat-related health problems, air pollution, increased water use and energy demand for air conditioning, among others. Recently, efforts to understand the effects of urbanization and landscape changes on indoor and outdoor temperatures have increased significantly. Together with remote sensing technology, this study aims to understand human heat stress, and geographic information system (GIS) is a tool used in the research. In the estimation of heat stress, besides temperature, physiological status, environmental impact and relative humidity factors are also important. The discomfort index (DI) is a heat stress indicator proposed by Thom (1959), which expresses the contribution of air temperature and relative humidity to human thermal comfort. The discomfort index proposed by Thom (1959) was calculated as DI=0.5Ta+0.5Tw (Ta: dry bulb temperature, Tw: wet bulb temperature) modified by SOHAR, Adar and Laky (1963). In the study, the dry bulb temperature, assumed to be equal to the air temperature, was taken monthly from MODIS LST data at 1km resolution. Relative humidity was produced by interpolating 73 meteorological data in the study area at 1km resolution. Wet bulb temperature is difficult to measure, so it was calculated from dry bulb temperature and relative humidity data so that the discomfort index as a measure of heat stress in the study area was calculated with a resolution of 1 km. The discomfort index was calculated monthly and annually and classified according to Thom's 4 comfort classes. According to the calculation results, Antalya's average discomfort index value for the whole year is 24.9 °C, indicating that Antalya is a moderately comfortable place. This value varies monthly, especially in April and October when the heat stress is the highest.
不适指数的遥感检测:以安塔利亚省为例
摘要热适应和热舒适指标是确定室外环境热舒适的关键。它们还在热应激研究中发挥着重要作用,热应激是一种会影响个人生产力、健康甚至生存的环境威胁。城市的发展和不透水表面的扩张通过提高地表温度(LST)来影响景观的热特性。由此产生的变暖可能导致热不适、与热有关的健康问题普遍存在、空气污染、用水和空调能源需求增加等。最近,了解城市化和景观变化对室内和室外温度影响的努力显著增加。本研究以地理信息系统(GIS)为研究工具,结合遥感技术了解人体热应激。在热应激的估计中,除温度外,生理状态、环境影响和相对湿度等因素也很重要。不适指数(DI)是Thom(1959)提出的一种热应激指标,表示空气温度和相对湿度对人体热舒适的贡献。Thom(1959)提出的不适指数计算公式为DI=0.5Ta+0.5Tw (Ta:干球温度,Tw:湿球温度),经SOHAR、Adar和Laky(1963)修正。在本研究中,假设干球温度等于空气温度,每月从分辨率为1km的MODIS LST数据中获取干球温度。相对湿度是通过插值研究区73份气象资料得到的,分辨率为1km。湿球温度难以测量,因此根据干球温度和相对湿度数据计算湿球温度,从而计算出作为研究区域热应力度量的不适指数,分辨率为1 km。每月和每年计算不适指数,并根据Thom的4个舒适等级进行分类。根据计算结果,安塔利亚全年的平均不适指数为24.9°C,表明安塔利亚是一个中等舒适的地方。这一数值逐月变化,特别是在4月和10月,热应力最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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