刘钱威, 王金亮, 玉院和. 基于遥感数据的北回归线云南段旅游气候适宜性评价研究[J]. 云南大学学报(自然科学版), 2020, 42(5): 906-915. doi: 10.7540/j.ynu.20190701
引用本文: 刘钱威, 王金亮, 玉院和. 基于遥感数据的北回归线云南段旅游气候适宜性评价研究[J]. 云南大学学报(自然科学版), 2020, 42(5): 906-915. doi: 10.7540/j.ynu.20190701
LIU Qian-wei, WANG Jin-liang, YU Yuan-he. Evaluation of tourism climate suitability in the Tropic of Cancer area in Yunnan based on remote sensing data[J]. Journal of Yunnan University: Natural Sciences Edition, 2020, 42(5): 906-915. DOI: 10.7540/j.ynu.20190701
Citation: LIU Qian-wei, WANG Jin-liang, YU Yuan-he. Evaluation of tourism climate suitability in the Tropic of Cancer area in Yunnan based on remote sensing data[J]. Journal of Yunnan University: Natural Sciences Edition, 2020, 42(5): 906-915. DOI: 10.7540/j.ynu.20190701

基于遥感数据的北回归线云南段旅游气候适宜性评价研究

Evaluation of tourism climate suitability in the Tropic of Cancer area in Yunnan based on remote sensing data

  • 摘要: 以云南省北回归线地区为研究区,以MODIS遥感数据为基础,反演地表温度和归一化水汽指数(NDMI),并结合气象插值数据,改进温湿指数(MTHI)、风寒指数(WCImod)、风效指数(WEImod)和综合舒适度(CCImod),重新构建人体健康舒适指数(BHCI),进而分析评价2018年研究区旅游气候舒适度. 结果表明:①MTHI、WCImod、WEImod和CCImod均能较好地反映气候舒适情况,表明研究区具有寒暑短促、舒适长连的特点. ②BHCI和MTHI、WEImod具有相似的时空分布,能清晰地反映气候交替对人体健康带来的影响. ③研究区3—11月处于舒适期,其对应春季、夏季和秋季,均适合作为长期旅游的最佳时间,而1—2月和12月,研究区处于较舒适期,人们也可以考虑进行短期活动.

     

    Abstract: Based on MODIS remote sensing data, Land Surface Temperature (LST) and Normalized Vegetation Moisture Index (NDMI) were retrieved from the Tropic of Cancer in Yunnan Province; and by combining meteorological interpolation data, the Moisture Temperature-humidity Index (MTHI), Wind Chill Indexmod (WCImod), Wind Effect Indexmod (WEImod) and Comprehensive Comfort Indexmod (CCImod) was reconstructed into a new Body-Healthy Comfort of Index (BHCI), which will be used to analyze and evaluate the climate comfort degree of tourism of 2018 in the study area. The results show that: ① MTHI, WCImod, WEImod and CCImod can better reflect the climate comfort, indicating that the study area is comfortable for a long time, with fairly short cold and hot periods. ② BHCI has similar spatial and temporal distributions with MTHI and WEImod, which can clearly reflect the impacts of climate change on human health. ③ The study area is in a comfortable period from March to November, corresponding to spring, summer and autumn, which are suitable for long-term travels. In December, January and February, however, the study area is in a less comfortable period, so people can choose short-term travels.

     

/

返回文章
返回