太湖流域下垫面改变与气候变化的响应关系
收稿日期: 2011-09-15
修回日期: 2012-05-04
网络出版日期: 2013-01-19
基金资助
"十一五"国家科技支撑计划重点项目"基于环境一号等国产卫星的环境遥感监测关键技术及软件研究"(2008BAC34B07-03,2008BAC34B01-2);国家水体污染控制与治理科技重大专项(2008ZX07528-005)。
The Response Relationship between Underlying Surface Changing and Climate Change in the Taihu Basin
Received date: 2011-09-15
Revised date: 2012-05-04
Online published: 2013-01-19
运用两种NDVI数据集(Pathfinder AVHRR和SPOT VEGETATION)和卫星遥感数据,采用3S技术,通过人机交互式目视方法解译出1979、1984、2000和2009年太湖流域的土地利用数据,结合1956—2007年太湖流域主要气象站点的气象资料,研究了太湖流域下垫面(NDVI和土地利用)变化与各主要气候因子的响应关系。结果表明:①近30 a太湖流域NDVI变化呈先增后减的趋势,空间上呈由东北向西南递增的趋势,浙江省区域植被覆盖较好,其次为苏锡常镇地区,上海植被较为稀少;②太湖流域耕地面积显著减少,城镇用地显著增加,林地与草地呈缓慢增长趋势,其中上海和苏州城市化进程速度最快,其次是无锡、常州,而杭州、嘉兴、湖州和镇江城市化进程较为缓慢;③20世纪80年代初期太湖流域出现显著的增温,并在近20 a增温幅度显著增加,平均相对湿度呈波动下降趋势,其下降速率为-1.25%/10 a,近50 a降水总量呈现小幅上升趋势,但近20 a降水量呈减少趋势,速率达到-37.31 mm/10 a,日照时数呈现下降趋势,其下降速率为-56.66 h/10 a;④与太湖流域NDVI变化响应最为显著的气候因子为气温,其次为平均相对湿度以及日照时数,降水总量与NDVI的相关性比较弱;⑤城市化进程迅速的地区相较于城市化缓慢的地区,其增温更快、相对湿度降幅更大、降水量增加更为缓慢,日照时数减少越快。
纪迪, 张慧, 沈渭寿, 王桥, 李海东, 林乃峰 . 太湖流域下垫面改变与气候变化的响应关系[J]. 自然资源学报, 2013 , 28(1) : 51 -62 . DOI: 10.11849/zrzyxb.2013.01.006
Based on the long-term vegetation index dataset of China-Pathfinder AVHRR NDVI(the data produced through funding from the Earth Observing System Pathfinder Program of NASA's Mission to Planet Earth in cooperation with National Oceanic and Atmospheric Administration, and were provided by EOSDIS, distributed Active Archive Center at Goddard Space Flight Center which archives, manages, and distributes this data set), long-term vegetation index dataset of China-SPOT VEGETATION NDVI(source for this dataset was VITO), the change of land use data which was analyzed by using the data of remote sensing image, including the interpretation of Multispectral Scanner(MSS) images in 1979, Thematic Mapper(TM) images in 1984, Enhanced Thematic Mapper Plus (ETM) images in 2000 and HJ-1 images in 2009, in combination with the meteorological data gathered from six weather stations in Taihu Basin, variation of vegetation in Taihu Basin and its NDVI in the period of 1956-2007, as well as their relations with major climate factors(temperature, relative humidity, precipitation, sunshine duration),were analyzed. The results show that: 1)The annual mean NDVI in Taihu Basin demonstrated a decreasing trend during the 26 years, with an increase rate of -0.02/10 a. The most significant NDVI decrease occurred in Changzhou area and Shanghai. It remarkably decreased by -0.017 to -0.049/10 a in those two areas. 2)The cultivated area shows significant reducing trend and the urban area shows significant increasing trend, and area of forest land, grassland and water area shows a slow increasing trend during the recent 30 years. 3)Because of the global warming and the increasingly rapid urbanization process, the annual mean temperature in Taihu Basin demonstrated an increasing trend during the 52 years, with a significant rising rate of 0.38 ℃/10 a, which caused the precipitation demonstrating an increasing trend during the 52 years with the increase rate at 1.09 mm/10 a and also caused the average relative humidity demonstrating a declining trend that decreased at a rate of -1.25%/10 a, and sunshine duration presented an decreasing trend, with the decrease rate at -56.66 h/10 a. 4)The analysis of the interrelationship between climate factor and NDVI by adopting the path coefficient shows that the temperature and the relative humidity are highly related with the NDVI(P<0.01). The correlation coefficient was -0.55 to -0.61 for NDVI and temperature, and 0.59 for NDVI and relative humidity. And the sunshine duration is also related with NDVI(P<0.05). The correlation coefficient was 0.49 for NDVI and the sunshine duration. However, no significant statistical relationship was found between NDVI and precipitation(P>0.05). This is because there's no remarkable increasing or decreasing trend found for this climate factors. The correlation coefficient was 0.23 for NDVI and precipitation.
Key words： underlying surface changing; land use changing; NDVI; climate change; Taihu Basin
[1] 黄奕龙, 陈利顶, 傅伯杰, 等. 黄土丘陵小流域生态用水试验研究——气候和土地利用变化的影响[J]. 水科学进展, 2006, 17(1): 14-19.[HUANG Yi-long, CHEN Li-ding, FU Bo-jie, et al. Experimental study on ecological water use in a gully catchment of the loess plateau: Effects of climate and land use change. Advances in Water Science, 2006, 17(1): 14-19.]
[2] 杨续超, 张镱锂, 刘林山, 等. 中国地表气温变化对土地利用/覆被类型的敏感性[J]. 中国科学D辑, 2009, 39(5): 638-646.[YANG Xu-chao, ZHANG Yi-li, LIU Lin-shan, et al. Sensitivity of surface air temperature change to land types in China. Science in China Series D: Earth Sciences, 2009, 39(5): 638-646.]
[3] 周淑贞. 上海城市发展对气温的影响[J]. 地理学报, 1983, 38(4): 397-405.[ZHOU Shu-zhen. The influence of Shanghai urban development on temperature. Acta Geographica Sinica, 1983, 38(4): 397-405.]
[4] 刘娇妹, 杨志峰. 北京市冬季不同景观下垫面温湿度变化特征[J]. 生态学报, 2009, 29(6): 3241-3252.[LIU Jiao-mei, YANG Zhi-feng. Dynamics of temperature and humidity in underlaying surface of different landscape type in winter in Beijing City, China. Acta Ecologica Sinica, 2009, 29(6): 3241-3252.]
[5] Jusuf S K, Wong N H, Hagen E, et al. The influence of land use on the urban heat island in Singapore [J]. Habitat International, 2007(31): 232-242.]
[6] Weiss J L, Gutzler D S, Allred Coonrod J E, et al. Seasonal and inter-annual relationships between vegetation and climate in central New Mexico [J]. Journal of Arid Environments, 2004, 57(4): 507-534.
[7] Fabricante I, Oesterheld M, Paruelo J M. Annual and seasonal variation of NDVI explained by current and previous precipitation across northern Patagonia [J]. Journal of Arid Environments, 2009, 73(8): 745-753.
[8] 宋怡, 马明国. 基于GIMMS AVHRR NDVI数据的中国寒旱区植被动态及其与气候因子的关系[J]. 遥感学报, 2008, 12(3): 499-505.[SONG Yi, MA Ming-guo. Variation of AVHRR NDVI and its relationship with climate in Chinese arid and cold regions. Journal of Remote Sensing, 2008, 12(3): 499-505.]
[9] 丁明军, 张镱锂, 刘林山, 等. 1982—2009年青藏高原草地覆盖度时空变化特征[J]. 自然资源学报, 2010, 25(12): 2114-2122.[DING Ming-jun, ZHANG Yi-li, LIU Lin-shan, et al. Temporal and spatial distribution of grassland coverage change in Tibetan Plateau since 1982. Journal of Natural Resources, 2010, 25(12): 2114-2122.]
[10] Chen X Q, Tan Z J, Schwartz M D, et al. Determining the growing season of land vegetation on the basis of plant phenology and satellite data in Northern China [J]. International Journal of Biometeorology, 2004, 44: 97-101.
[11] 刘高焕, 刘庆生, 叶庆华, 等. 黄河三角洲土地利用动态监测与海岸带综合管理[J]. 资源科学, 2006, 28(5): 171-175.[LIU Gao-huan, LIU Qing-sheng, YE Qing-hua, et al. Monitoring ecosystem change and land resources utilization in the Yellow River Delta. Resources Science, 2006, 28(5): 171-175.]
[12] 魏凤英. 现代气候统计诊断预测技术[M]. 北京: 气象出版社, 1999: 62-76.[WEI Feng-ying. Statistic Diagnose and Foreshadow Technology in Present Climate. Beijing: Meteorological Press, 1999: 62-79.]
[13] Xu Z X, Takeuchi K, Ishidaira H. Long-term trends of annual temperature and precipitation time series in Japan [J]. Journal of Hydroscienee and Hydraulic Engineering, 2002, 20(2): 11-26.
[14] Ercan K, Serdar K. Trend analysis of stream flow in Turkey [J]. Journal of Hydrology, 2004, 289: 128-144.
[15] 姜彤, 苏布达, 王艳君, 等. 四十年来长江流域气温、 降水与径流变化趋势[J]. 气候变化研究进展, 2005, 1(2): 65-68.[JIANG Tong, SU Bu-da, WANG Yan-jun, et al. Trends of temperature, precipitation and runoff in the Yangtze River Basin from 1961 to 2000. Advances in Climate Change Research, 2005, 1(2): 65-68.]
[16] IPCC. Climate Change 2001: Impacts, Adaptation, and Vulnerability [M]. Summary for Policymakers. A Report of Working Group Ⅱ of the Intergovernmental Panel on Climate Change. Geneva, Switzerland, 2001.
[17] IPCC. IPCC Fourth Assessment Report(AR4) [M]. Cambridge: Cambridge University Press, 2007.
[18] IPCC. Climate Change 2007: Synthesis Report [M]. Oslo: Intergovernmental Panel on Climate Change, 2007.
[19] 林学椿, 于淑秋, 唐国利. 中国近百年温度序列[J]. 大气科学, 1995, 19(5): 525-534.[LIN Xue-chun, YU Shu-qiu, TANG Guo-li. Series of average air temperature over China for the last 100-year period. Scientia Atmospherica Sinica, 1995, 19(5): 525-534.]
[20] 秦大河. 中国西部环境演变评估综合报告[M]. 北京: 科学出版社, 2002: 2-10.[QIN Da-he. Colligate Report of Assessment in Environment Evolvement of West at China. Beijing: Science Press, 2002: 2-10.]
[21] 闫冠华, 李巧萍, 邢超. 不同温室气体排放情景下未来中国地面气温变化特征[J]. 南京信息工程大学学报: 自然科学版, 2011, 3(1): 36-46.[YAN Guan-hua, LI Qiao-ping, XING Chao. Future surface air temperature changes in China under different greenhouse gas emission scenarios. Journal of Nanjing University of Information Science & Technology: Natural Science Edition, 2011, 3(1): 36-46.]
[22] 黄俊雄, 徐宗学. 太湖流域1954-2006年气候变化及其演变趋势[J]. 长江流域资源与环境, 2009, 18(1): 33-40.[HUANG Jun-xiong, XU Zong-xue. Spatial-temporal characteristics of long-term trends for climate change in the TAIHU Basin during 1954 to 2006. Resources and Environment in the Yangtze Basin, 2009, 18(1): 33-40.]
[23] 陈碧辉, 张平, 郝克俊, 等. 近50年成都市日照时数变化规律[J]. 气象科技, 2008, 36(6): 84-87.[CHEN Bi-hui, ZHANG Ping, HAO Ke-jun, et al. Variation characteristics of sunshine duration in Chengdu in recent 50 years. Meteorological Science and Technology, 2008, 36(6): 84-87.]
[24] 左洪超, 吕世华, 胡隐樵. 中国近50年气温及降水的变化趋势分析[J]. 高原气象, 2004, 23(2): 238-244.[ZUO Hong-chao, LüShi-hua, HU Yin-qiao. Variations trend of yearly mean air temperature and precipitation in China in the last 50 years. Plateau Meteorology, 2004, 23(2): 238-244.]
[25] 朱西存, 赵庚星. 局地不同下垫面对气象要素的影响及其气候效应[J], 中国农业生态学报, 2009, 17(4): 760-764.[ZHU Xi-cun, ZHAO Geng-xing. Local influence of underlying surface on meteorological elements and associated climatic effect. Chinese Journal of Eco-Agriculture, 2009, 17(4): 760-764.]
[26] 王连喜, 闵庆文, 李凤霞, 等. 宁夏南部山区不同下垫面的小气候特征分析[J]. 资源科学, 2005, 27(4): 18-21.[WANG Lian-xi, MING Qing-wen, LI feng-xia, et al. Microclimatic characteristics of different underlying surfaces in South Ningxia mountains. Resources Science, 2005, 27(4): 18-21.]
[27] 娄德君, 李治民, 孙卫国. 夏季不同下垫面气象要素的对比分析[J]. 气象科技, 2006, 34(2): 166-169.[LOU De-jun, LI Zhi-ming, SUN Wei-guo. Contrast analysis of meteorological factors at different underlying surfaces in summer. Meteorological Science and Technology, 2006, 34(2): 166-169.]
[28] 龙红, 谢国清, 李蒙, 等. 近46年来昆明市日照变化特征分析[J]. 云南地理环境研究, 2009, 21(4): 101-105.[LONG Hong, XIE Guo-qing, LI Meng, et al. The analysis of variation characteristics of sunshine in the recent 46 years in Kunming. Yunnan Geographic Environment Research, 2009, 21(4): 101-105.]
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