摘要
为了解贵州省极端气候时空变化及其对植被NDVI的影响,结合箱型图、相关分析、Sen+MK等方法对1961—2020年贵州省极端气候指数进行分析。结果表明:(1)贵州省夜指数的变化幅度大于昼指数的变幅,极端高温指数呈上升趋势,极端低温指数在下降,气候整体呈变暖趋势。除赤水河流域SU25(夏日日数)以-0.08 d/a显著下降外,其余流域高温指数均显著上升,而低温指数均显著下降。(2)量级指数的变化幅度大于强度指数的变幅,年总降水量在减少,但强降水和极强降水事件呈增加趋势;强度指数中南盘江流域均未通过显著性检验,量级指数在沅江流域的变化速率最大。(3)气温及降水持续指数中,低值集中在牛栏江横江流域;其中CSDI(冷持续指数)、WSDI(热持续指数)、CDD(持续干燥指数)未通过显著性检验;GSL(作物成长期)以0.26 d/a显著上升。(4)近21年,极端高温指数对植被生长以促进作用为主,且受TN90P(暖夜日数)的影响最大;极端低温指数以抑制为主,且受TN10P(冷夜日数)的影响最大;气温持续指数以促进为主,且受WSDI的影响最大。极端降水指数中,降水强度、量级指数以促进为主,且受R25 mm(大雨以上日数)和R99P(极强降水量)的影响最大,降水持续指数以抑制为主且,受CDD(持续干燥指数)的影响较大。
In order to understand the temporal and spatial changes of extreme climate in Guizhou Province and its impact on NDVI of vegetation, the extreme climate index of Guizhou Province from 1961 to 2020 was analyzed by combining box chart, correlation analysis, Sen+MK and other methods. The results show that:(1) The change range of night index is larger than that of day index, the extreme high temperature index is increasing, the extreme low temperature index is decreasing, and the climate is warming as a whole. Except that the SU25(summer days) in Chishui River Basin decreased significantly by-0.08 d/a, the high temperature index increased significantly in other basins, while the low temperature index decreased significantly.(2) The change range of magnitude index is larger than that of intensity index. The annual total precipitation is decreasing, but the heavy precipitation and extremely heavy precipitation events are increasing;The intensity index in the central and southern Panjiang River Basin failed to pass the significance test, and the magnitude index had the largest change rate in the Yuanjiang River Basin.(3) The low values of temperature and precipitation persistence index are concentrated in Niulan River and Hengjiang River Basin;CSDI(cold duration index), WSDI(heat duration index) and CDD(continuous drying index) failed to pass the significance test;GSL(crop growth period) increased significantly at 0.26 d/a.(4) In recent 21 years, extreme high temperature index mainly promoted vegetation growth and was most affected by TN90 P(warm night days);The extreme low temperature index was mainly inhibited and was most affected by TN10 P(cold night days);The temperature persistence index is mainly promoted and is most affected by WSDI. Among the extreme precipitation indexes, the precipitation intensity and magnitude indexes are mainly promoted and are most affected by R25 mm(days above heavy rain) and R99 P(extremely strong precipitation). The precipitation persistence index is mainly inhibited and is greatly affected by CDD(continuous drying index).
作者
刘炜
焦树林
LIU Wei;JIAO Shulin(College of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025)
出处
《水土保持学报》
CSCD
北大核心
2022年第5期220-232,共13页
Journal of Soil and Water Conservation
基金
贵州省国内一流学科建设项目“贵州师范大学地理学”(黔教科研发[2017]85号)
黔科合基础[2020]1Y252
贵州省水利厅科技专项(KT201602)。
