本研究擬以自行開發智慧防災盒之懸浮微粒感測器連續監測鹿谷之北勢溪上游集水區測站之懸浮微粒及氣象資料，使用有效月份資料繪製等值圖探討懸浮微粒之空間變化趨勢，為臺灣地區進行山區懸浮微粒空間分佈之嘗試研究。研究中利用所開發之懸浮微粒感測器竹山管理處測站與環保署竹山站所搜集之PM2.5與PM10資料進行比較。結果顯示兩者之數值呈現一致性，顯示具有一定之代表性。此外，研究結果發現粗（細）懸浮微粒除自身相關性外，與其他氣象要素之相關係數多低於0.4。由所架設之12測站於2019年5至12月監測結果，以地理統計之一般克利金法繪製月均值等值圖，除8月與9月外，大抵呈現由溪頭谷地東南側往西北方遞增之趨勢，6月份濃度最低而10月份濃度最高，粗（細）懸浮微粒濃度與高程之相關係數介於0.067與0.1889間，其相關性並不明顯。由於目前監測站之整體資料獲取率受限電源與無線傳輸等因素，仍有改進之空間，未來仍需透過長期監測以獲得更具代表性之結果。

This study aims on analyzing the spatial distribution of the particulate matter (PM) at upstreams of the Bei-Shih River region in the Lugu Township using twelve self-developed sensors of Smart-Box of Disaster Prevention (SBDP). The effective monthly data of PM were used to delineate the contour for evaluation of the variation of spatial trend as a preliminary research at mountainous area of Taiwan. The data collected by the air pollutant sensor at Zhushan Station were compared with those by the Environmental Protection Agency (EPA) at Zhushan Station. Trends of PM and PM values were consistent between the two stations, showing data collected 2.5 10 by SBDP were as representative as those by EPA's. Results indicated that the correlation coefficient between coarse and fine PM with other meteorological factors were lower than 0.4 except for themselves. From the contour map of the monthly average PM in 2019 using Ordinary Kriging of Geostatistics, the coarse and fine PM increased from southeast to northwest of Xitou Valley between May and December except for August and September. Average in June was the lowest among all the data collected, while October was the highest. The correlation coefficient between the coarse and fine particle with the elevation was not significant with values between 0.067 and 0.1889. Under the constraints of overall data acquisition such as power, transmission by 4G-LTE and Wi-Fi, the instruments of SBDP requires some improvement to provide more representative result for long-term monitoring.