喀斯特区与非喀斯特区的地表温度与近地表气温差异分析

廖梦垚; 罗娅; 余军林; 王青; 石春茂; 徐雪

doi:10.11988/ckyyb.20221605

PDF(8492 KB)

长江科学院院报 ›› 2024, Vol. 41 ›› Issue (3) : 54-61. DOI: 10.11988/ckyyb.20221605

水土保持与生态修复

喀斯特区与非喀斯特区的地表温度与近地表气温差异分析

廖梦垚¹, 罗娅^1,2, 余军林³, 王青¹, 石春茂¹, 徐雪¹

作者信息 +

Differential Analysis of the Relationship between Land Surface Temperature and Near-surface Air Temperature in Karst Area and Non-karst Area

LIAO Meng-yao¹, LUO Ya^1,2, YU Jun-lin³, WANG Qing¹, SHI Chun-mao¹, XU Xue¹

Author information +

文章历史 +

摘要

地表温度与近地表气温的关系是识别下垫面与近地表大气相互作用的重要依据,对维持能量良好循环与改善气候环境具有重要意义。喀斯特区的自然背景与非喀斯特区有明显差异,陆地-大气间能量传输的规律在两类地区具有差异。基于近邻成对像元选择,获取贵州西南紫云、望谟两县2000—2018年的地表温度和近地表气温,并对比分析它们在喀斯特区与非喀斯特区的差异。结果表明:①就年平均状况而言,喀斯特区地表温度与近地表气温的差异及其波动性比非喀斯特区大,陆地-大气之间能量传输的稳定性为非喀斯特区大于喀斯特区。②从季节状况看,地表温度与近地表气温的差异在春、夏、秋三季为喀斯特区比非喀斯特区明显,冬季无明显差异;地表温度与近地表气温差异的波动性在冬季为喀斯特区大于非喀斯特区;喀斯特区陆地-大气之间能量传输的稳定性在4个季节均大于非喀斯特区。③从各月看,喀斯特区地表温度与近地表气温差异在各月均比非喀斯特区明显,差异波动性在4月份大于非喀斯特区,其余月份基本一致;除去3月份和4月份,其余各月的非喀斯特区陆地-大气之间能量传输均比喀斯特区稳定。结果可为研究气候变化、解析地表环境模式和保护生态环境等方面提供参考。

Abstract

The relationship between land surface temperature and near-surface air temperature serves as a critical foundation for understanding the interaction between subsurface and near-surface atmosphere, and is also vital for maintaining efficient energy circulation and enhancing climate environment. The natural characteristics of karst areas substantially differ from those of non-karst areas, resulting in divergent patterns of energy transfer between land and atmosphere in these distinct environments. Based on pairwise nearest-neighbor pixel selection, we acquired land surface temperature and near-surface air temperature data for Ziyun and Wangmu counties in southwest Guizhou from 2000 to 2018. Subsequently, we compared and analyzed the discrepancies between karst and non-karst areas. Our findings indicate that: 1) The disparities and fluctuations between land surface temperature and near-surface air temperature are more pronounced in karst area than in non-karst area on an annual average basis, with greater energy transfer stability observed in non-karst area. 2) In seasonal scale, the difference between land surface temperature and near-surface air temperature is more prominent in karst area than non-karst area during spring, summer, and autumn, albeit not in winter. Additionally, the fluctuation of the difference is greater in winter in karst area, with greater energy transfer stability in karst area throughout all four seasons. 3) As for individual months, the difference between land surface temperature and near-surface air temperature is more evident in the karst area compared to the non-karst area in each month, with greater fluctuations observed in April in the karst area. However, excluding March and April, energy transfer between land and atmosphere is more stable in non-karst area throughout the other months. The results can serve as a valuable reference for analyzing surface environmental patterns, studying climate change, and safeguarding the ecological environment.

导出引用

廖梦垚, 罗娅, 余军林, 王青, 石春茂, 徐雪. 喀斯特区与非喀斯特区的地表温度与近地表气温差异分析[J]. 长江科学院院报. 2024, 41(3): 54-61 https://doi.org/10.11988/ckyyb.20221605

LIAO Meng-yao, LUO Ya, YU Jun-lin, WANG Qing, SHI Chun-mao, XU Xue. Differential Analysis of the Relationship between Land Surface Temperature and Near-surface Air Temperature in Karst Area and Non-karst Area[J]. Journal of Changjiang River Scientific Research Institute. 2024, 41(3): 54-61 https://doi.org/10.11988/ckyyb.20221605

中图分类号： K903

参考文献

[1] HE Y, WANG K. Contrast Patterns and Trends of Lapse Rates Calculated from Near-surface Air and Land Surface Temperatures in China from 1961 to 2014[J]. Science Bulletin, 2020, 65(14): 1217-1224.
[2] AHMAD ROMSHOO S,RAFIQ M,RASHID I.Spatio-temporal Variation of Land Surface Temperature and Temperature Lapse Rate over Mountainous Kashmir Himalaya[J].Journal of Mountain Science,2018,15(3):563-576.
[3] LUO D,JIN H,MARCHENKO S S,et al.Difference between Near-surface Air, Land Surface and Ground Surface Temperatures and Their Influences on the Frozen Ground on the Qinghai-Tibet Plateau[J].Geoderma,2018,312:74-85.
[4] SHI L, LIU P, KLOOG I, et al. Estimating Daily Air Temperature across the Southeastern United States Using High-resolution Satellite Data: A Statistical Modeling Study[J]. Environmental Research, 2016, 146: 51-58.
[5] RAJA REDDY K,HODGES H F,MCKINION J M.Crop Modeling and Applications: A Cotton Example[M]//Advances in Agronomy.Amsterdam:Elsevier,1997:225-290.
[6] KRÜGER E, EMMANUEL R. Accounting for Atmospheric Stability Conditions in Urban Heat Island Studies: The Case of Glasgow, UK[J]. Landscape and Urban Planning, 2013, 117: 112-121.
[7] SHAMIR E, GEORGAKAKOS K P. MODIS Land Surface Temperature as an Index of Surface Air Temperature for Operational Snowpack Estimation[J]. Remote Sensing of Environment, 2014, 152: 83-98.
[8] ALKAMA R, CESCATTI A. Biophysical Climate Impacts of Recent Changes in Global Forest Cover[J]. Science, 2016, 351(6273): 600-604.
[9] BATHIANY S, DAKOS V, SCHEFFER M, et al. Climate Models Predict Increasing Temperature Variability in Poor Countries[J]. Science Advances, 2018, Doi: 10.1126/sciadv.aar58.
[10] SINGH S, BHARDWAJ A, SINGH A, et al. Quantifying the Congruence between Air and Land Surface Temperatures for Various Climatic and Elevation Zones of Western Himalaya[J]. Remote Sensing, 2019, 11(24): 2889.
[11] FLORIO E N, LELE S R, CHANG Y C, et al. Integrating AVHRR Satellite Data and NOAA Ground Observations to Predict Surface Air Temperature: a Statistical Approach[J]. International Journal of Remote Sensing, 2004, 25(15): 2979-2994.
[12] BENALI A,CARVALHO A C,NUNES J P,et al.Estimating Air Surface Temperature in Portugal Using MODIS LST Data[J].Remote Sensing of Environment,2012,124:108-121.
[13] PRINCE S D, GOETZ S J, DUBAYAH R O, et al. Inference of Surface and Air Temperature, Atmospheric Precipitable Water and Vapor Pressure Deficit Using Advanced very High-resolution Radiometer Satellite Observations: Comparison with Field Observations[J]. Journal of Hydrology, 1998, 212/213: 230-249.
[14] STISEN S, SANDHOLT I, NØRGAARD A, et al. Estimation of Diurnal Air Temperature Using MSG SEVIRI Data in West Africa[J]. Remote Sensing of Environment, 2007, 110(2): 262-274.
[15] VANCUTSEM C,CECCATO P,DINKU T,et al.Evaluation of MODIS Land Surface Temperature Data to Estimate Air Temperature in Different Ecosystems over Africa[J].Remote Sensing of Environment,2010,114(2):449-465.
[16] MILDREXLER D J, ZHAO M, RUNNING S W. A Global Comparison between Station Air Temperatures and MODIS Land Surface Temperatures Reveals the Cooling Role of Forests[J]. Journal of Geophysical Research (Biogeosciences), 2011, 116(G3): G03025.
[17] JIN M, DICKINSON R E. Land Surface Skin Temperature Climatology: Benefitting from the Strengths of Satellite Observations[J]. Environmental Research Letters, 2010, 5(4): 044004.
[18] SUN T, SUN R, CHEN L. The Trend Inconsistency between Land Surface Temperature and near Surface Air Temperature in Assessing Urban Heat Island Effects[J]. Remote Sensing, 2020, 12(8): 1271.
[19] SCHWARZ N, SCHLINK U, FRANCK U, et al. Relationship of Land Surface and Air Temperatures and Its Implications for Quantifying Urban Heat Island Indicators—An Application for the City of Leipzig (Germany)[J]. Ecological Indicators, 2012, 18: 693-704.
[20] MUTIIBWA D, STRACHAN S, ALBRIGHT T. Land Surface Temperature and Surface Air Temperature in Complex Terrain[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(10): 4762-4774.
[21] DENG Y, WANG S, BAI X, et al. Relationship among Land Surface Temperature and LUCC, NDVI in Typical Karst Area[J]. Scientific Reports, 2018, 8: 641.
[22] LI Y,BAI X Y,WANG S J,et al.Evaluating of the Spatial Heterogeneity of Soil Loss Tolerance and Its Effects on Erosion Risk in the Carbonate Areas of Southern China[J]. Solid Earth,2017,8(3):661-669.
[23] 马俊飞, 李炜, 史雯. 山东省地表温度变化与地震活动关系探讨[J]. 地震地磁观测与研究, 2017, 38(5): 121-126.(MA Jun-fei, LI Wei, SHI Wen. Study on Relationship between Land Surface Temperature Variation and Seismic Activity of Shandong Province[J]. Seismological and Geomagnetic Observation and Research, 2017, 38(5): 121-126.(in Chinese))
[24] 应奎, 李旭东. 贵阳市人口老龄化的乡镇空间格局变化研究[J]. 贵州师范大学学报(自然科学版), 2020, 38(5): 64-72.(YING Kui, LI Xu-dong. The Spatial Pattern Changes of Population Aging in Township in Guiyang City[J]. Journal of Guizhou Normal University (Natural Sciences), 2020, 38(5): 64-72.(in Chinese))
[25] 张晓东, 周纪, 唐文彬, 等. 中国陆域及周边逐日1km全天候地表温度数据集[DB/OL].(2021-04-09)[2022-11-20].http://data.tpdc.ac.cn (ZHANG Xiao-dong, ZHOU Ji, TANG Wen-bin, et al. Daily 1-km All-Weather Land Surface Temperature Dataset for the Chinese Landmass and Its Surrounding Areas[DB/OL].(2021-04-09)[2022-11-20].http://data.tpdc.ac.cn.(in Chinese))
[26] ZHANG X, ZHOU J, LIANG S, et al. A Practical Reanalysis Data and Thermal Infrared Remote Sensing Data Merging (RTM) Method for Reconstruction of a 1-km All-weather Land Surface Temperature[J]. Remote Sensing of Environment, 2021, 260: 112437.
[27] FANG S,MAO K,XIA X,et al.Dataset of daily near-surface air temperature in China from 1979 to 2018[J].Earth System Science Data,Doi:10.5194/ESSD-2021-309.
[28] FENG H, ZOU B. A Greening World Enhances the Surface-air Temperature Difference[J]. Science of the Total Environment, 2019, 658: 385-394.
[29] 韩秀珍, 李三妹, 窦芳丽. 气象卫星遥感地表温度推算近地表气温方法研究[J]. 气象学报, 2012, 70(5): 1107-1118.(HAN Xiu-zhen, LI San-mei, DOU Fang-li. Study of Obtaining High Resolution Near-surface Atmosphere Temperature by Using the Land Surface Temperature from Meteorological Satellite Data[J]. Acta Meteorologica Sinica, 2012, 70(5): 1107-1118.(in Chinese))
[30] JIANG K, PAN Z, PAN F, et al. Influence Patterns of Soil Moisture Change on Surface-air Temperature Difference under Different Climatic Background[J]. Science of the Total Environment, 2022, 822: 153607.
[31] LIAN X, ZENG Z, YAO Y, et al. Spatiotemporal Variations in the Difference between Satellite-observed Daily Maximum Land Surface Temperature and Station-based Daily Maximum Near-surface Air Temperature[J]. Journal of Geophysical Research: Atmospheres, 2017, 122(4): 2254-2268.
[32] CHEN X, LIU L, SU Y, et al. Quantitative Association between the Water Yield Impacts of Forest Cover Changes and the Biophysical Effects of Forest Cover on Temperatures[J]. Journal of Hydrology, 2021, 600: 126529.
[33] JIANG K, PAN Z, PAN F, et al. The Global Spatiotemporal Heterogeneity of Land Surface-air Temperature Difference and Its Influencing Factors[J]. Science of the Total Environment, 2022, 838: 156214.
[34] 倪隆康,顾大形,何文,等.岩溶区植物生态适应性研究进展[J].生态学杂志,2019,38(7):2210-2217.(NI Long-kang,GU Da-xing,HE Wen,et al.Research Advances in Plant Ecological Adaptability in Karst Area[J]. Chinese Journal of Ecology,2019,38(7):2210-2217.(in Chinese))
[35] 姜勇祥, 蓝家程, 龙家辉. 喀斯特石漠化地区退耕模式对土壤团聚体组成和稳定性的影响[J]. 贵州师范大学学报(自然科学版), 2020, 38(4): 10-17.(JIANG Yong-xiang, LAN Jia-cheng, LONG Jia-hui. Effects of De-farming Patterns on the Composition and Stability of Soil Aggregates in Karst Rocky Desertification Area[J]. Journal of Guizhou Normal University (Natural Sciences), 2020, 38(4): 10-17.(in Chinese))
[36] 张继. 中国西南喀斯特地区遥感蒸散发变化研究[D]. 贵阳: 贵州师范大学, 2020.(ZHANG Ji. Study on the Changes of Remote Sensing Evapotranspiration in Karst Regions of Southwest China[D].Guiyang: Guizhou Normal University, 2020.(in Chinese))
[37] GEVAERT A I, MIRALLES D G, DE JEU R A M, et al. Soil Moisture-temperature Coupling in a Set of Land Surface Models[J]. Journal of Geophysical Research: Atmospheres, 2018, 123(3): 1481-1498.
[38] 彭大为, 周秋文, 韦小茶, 等. 中国西南岩溶区水分利用效率变化及其对气象要素的响应[J]. 生态学报, 2021, 41(23): 9470-9480.(PENG Da-wei, ZHOU Qiu-wen, WEI Xiao-cha, et al. Change of Water Use Efficiency and Its Response to Meteorological Factors in Karst Area of Southwest China[J]. Acta Ecologica Sinica, 2021, 41(23): 9470-9480.(in Chinese))
[39] JIANG K, PAN Z, PAN F, et al. The Global Spatiotemporal Heterogeneity of Land Surface-air Temperature Difference and Its Influencing Factors[J]. Science of the Total Environment, 2022, 838: 156214.
[40] 甄英, 季薇, 李传辉, 等. 四川省地表温度变化特征及气象因素影响分析[J]. 内江师范学院学报, 2021, 36(6): 44-49.(ZHEN Ying, JI Wei, LI Chuan-hui, et al. Spatio-temporal Variation Characteristics of Land Surface Temperature and Analysis of Meteorological Factors in Sichuan Province[J]. Journal of Neijiang Normal University, 2021, 36(6): 44-49.(in Chinese))
[41] HUI Y, ZHANG Q, XU C Y, et al. Vegetation’s Role in Controlling Long-term Response of near Ground Air Temperature to Precipitation Change in a Semi-arid Region[J]. Journal of Arid Environments, 2018, 152: 83-86.
[42] 姜艳丰. 2018年通古淖尔气象站地表温度、气温和降水的关系[J]. 现代农业, 2020(7): 94-96.(JIANG Yan-feng. Relationship between Surface Temperature, Air Temperature and Precipitation at Tonggunuoer Meteorological Station in 2018[J]. Modern Agriculture, 2020(7): 94-96.(in Chinese))
[43] 黄双庆,唐超礼,黄友锐.中国可降水量时空分布及其变化趋势分析[J].长江科学院院报,2023,40(4):37-43.(HUANG Shuang-qing, TANG Chao-li, HUANG You-rui. Spatial and Temporal Distribution and Variation Trend of Available Precipitation in China[J]. Journal of Changjiang River Scientific Research Institute, 2023, 40(4): 37-43.(in Chinese))
[44] STALEY D O, JURICA G M. Effective Atmospheric Emissivity under Clear Skies[J]. Journal of Applied Meteorology, 1972, 11(2): 349-356.
[45] EVAN A T, FLAMANT C, LAVAYSSE C, et al. Water Vapor-Forced Greenhouse Warming over the Sahara Desert and the Recent Recovery from the Sahelian Drought[J]. Journal of Climate, 2015, 28(1): 108-123.