在全球都市高度開發以及都市化過程，人口急遽成長使都市範圍不斷往外擴，土地使用方式不斷的改變，導致都市熱壓力的上升，影響到人體熱舒適性和居住生活空間等品質。面對日益嚴重的熱壓力問題，使都市氣候議題更加受到重視，因此取得更細緻的都市監測資料成為許多研究上不可或缺的重要項目，其中都市氣候監測網的規模和覆蓋範圍取決於城市之空間範圍和形態，其規模與範圍將影響到人力及時間成本，尤其在於數據蒐集與處理上。因此本研究將帶入IoT物聯網應用於高密度都市環境監測網內，以便於未來智慧化城市上的發展。
回顧過往臺灣的都市氣候之研究，臺灣南部區域的都市包括臺南、嘉義、高雄已有建置環境溫度監測網，其中本研究挑選高雄作為研究對象，因高雄市為臺灣第二大都市，為南臺灣重要的工業重鎮，且具有多樣貌的自然地貌與都市型態。而過去已有相關氣候文獻於探討高雄的都市熱島環境，從既有的中央氣象站或者建立環境溫度量測網取得氣候資料，然而其研究範圍僅限於舊高雄市(高雄縣市行政區合併前之高雄市)，因此本研究將擴增研究範圍至高雄都會區，藉由高密度環境溫度監測網(Smart Temperature and Environment Observation Network in Kaohsiung, STONK)蒐集近一年的氣溫資料進行分析，透過GIS地理資訊軟體呈現都市氣候地圖，並找出各季日夜間的熱島現象。
本研究根據高雄的都市熱環境分布情形，從風環境在各季風速、風向上的表現，以及藉由Landsat衛星熱影像資料反演出地表溫度，並呈現都市不同地貌的溫度分布情形，以此評估高雄環境背景氣候下與都市熱環境之關聯性，其中地表溫度較能細緻呈現出高低溫分布樣貌，因此本研究將進一步探討高雄多樣化的土地利用特性。
在高雄的密集監測網收集的氣溫資料分析中，顯示高低溫的表現與日夜交替有關，並存在四種典型的溫度特徵組，分別為「日高夜高組」、「日低夜低組」、「日高夜低組」、「日低夜高組」，而在這四組溫度特徵分類中與環境因子最有相關性的為地理位置與土地利用。因此本研究藉由觀測資料之各逐時的溫度表現，結合空間資料如監測點的地理位置和法定土地使用分區及現況街廓調查，分析該地區影響溫度日夜間表現之因素，進而提出相對應的改善熱環境之對策與未來都市規劃上的建議。另外本研究將此研究分類方式應用於高雄市府近期積極開發地區之亞洲新灣區計畫，藉由鄰近該地區監測點之氣溫資料與空間資料如土地利用，評估各區中影響微氣候變化的因素，建議地方政府在未來都市規劃上的調適策略，亦有助於建立及各不同區域性的環境評估之參考。

In the process of global urban development, the growth of the population makes the urban scope continue to expand, land use changes, resulting in the rise of urban heat pressure, affecting the human thermal comfort and living space. Therefore, urban monitoring data has become an important project in many researches. The scale and coverage of urban climate monitoring network depends on the spatial scope and form of the city, and its scale and scope will affect human and time costs, especially in data collection and processing. So in this study will using Internet of things (IoT) into the high-density monitoring network to facilitate the future development of smart cities.
In the past studies of urban climate in Taiwan, the cities in southern Taiwan include Tainan, Chiayi, and Kaohsiung. In this study, Kaohsiung was selected as the research object, because it an important industrial town in southern Taiwan and the second largest city in Taiwan, with multiple natural landforms and urban forms. There have been environmental documents on Kaohsiung's urban heat island, obtaining climate data from existing central weather stations or setting up high-density measurement network, but the scope of its research is limited to the old Kaohsiung City (Kaohsiung City before the merger of the administrative districts of Kaohsiung County), so this study will expand the scope of research to Kaohsiung Metropolitan Area, by Smart Temperature and Environment Observation Network in Kaohsiung, (STONK) collected nearly a year's temperature data for analysis, presented urban climate maps through GIS tools, and identified heat island phenomena on various days and nights.
In the temperature data analysis collected by Kaohsiung's dense monitoring network, it is shown that the performance of high and low temperature is related to the day and night alternating, and there are four typical temperature characteristic groups, namely, "Day high and Night high group", "Day and Night low group", "Day high and Night low group", "Day low and Night hight group" and the most relevant with geographical location and land use.

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