Variation Characteristics of Precipitation in Different Geomorphic Types in Guizhou Province in the Recent 59 Years

MO Yueshuang; SUO Huiying; ZHAO Zongquan; JIAO Shulin; ZHANG Jie; ZHAO Meng; LIU Wei; LI Yinjiu

doi:10.13870/j.cnki.stbcxb.2020.06.007

您当前的位置：

首页 >

文章列表页 >

Variation Characteristics of Precipitation in Different Geomorphic Types in Guizhou Province in the Recent 59 Years

更新时间：2025-03-12

- Variation Characteristics of Precipitation in Different Geomorphic Types in Guizhou Province in the Recent 59 Years
- Vol. 34, Issue 6, Pages: 46-52(2020)
- 作者机构：
  
  贵州师范大学地理与环境科学学院,贵阳,550025
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2020.06.007
  CLC： P426.6
- Published：2020
- 稿件说明：
移动端阅览
MO Yueshuang, SUO Huiying, ZHAO Zongquan, et al. Variation Characteristics of Precipitation in Different Geomorphic Types in Guizhou Province in the Recent 59 Years[J]. 2020, 34(6): 46-52.
DOI：

MO Yueshuang, SUO Huiying, ZHAO Zongquan, et al. Variation Characteristics of Precipitation in Different Geomorphic Types in Guizhou Province in the Recent 59 Years[J]. 2020, 34(6): 46-52. DOI： 10.13870/j.cnki.stbcxb.2020.06.007.

摘要

为了解和分析贵州省气候变化的特征，以期为当地的生态旅游发展规划、环境保护和灾害防治提供参考，根据1960—2018年贵州省17个气象站的月降水数据，运用线性倾向估计法、滑动平均法及反距离权重插值的方法，对贵州省59年不同地貌类型降水的时空变化进行研究，并采用有序聚类法和Mann—Kendall法对降水量进行突变性检验。结果表明：贵州省59年降水趋势系数为-0.102，表明全省降水量总体呈下降趋势。岩溶峡谷和非喀斯特区的年均降水量虽递增，但增加的趋势并不显著。其他4个地貌区（岩溶槽谷、峰丛洼地、岩溶高原和岩溶盆地）的年降水量均呈下降趋势，其中下降趋势最显著的是岩溶盆地，其递减速率为-37.57 mm/10 a，是其他3个地区的1.37~2.25倍。全年降水倾向率为-16.50 mm/10 a，降水倾向率在空间上呈现由东北向西南逐渐减小的趋势。全省秋季、冬季的降水量呈波动上升，而春季、夏季的降水量呈下降趋势，年降水日数和最大日降水量均呈递减趋势，在20世纪80年代以后，平均最大日降水量下降至60年代的1/10左右。此外，非喀斯特区和岩溶高原年均降水量在1985—1986年左右发生突变，岩溶峡谷、岩溶槽谷、峰丛洼地的年平均降水量无突变现象，岩溶盆地约在2001年发生突变。

Abstract

Analyzing the temporal and spatial trends of climate change in Guizhou Province is of great significance for planning ecotourism development

environmental protection and disaster prevention in the region. Based on the monthly precipitation data from 17 sites in Guizhou Province during 1960 to 2018

methods of linear regression

moving average

ordered clustering

Mann—Kendall mutation test

and inverse distance weight interpolation were applied to analyze spatial and temporal characteristic of precipitation in Guizhou. The study showed that: In the past 59 years

Guizhou had a downward trend in precipitation

with a precipitation coefficient of -0.102. Although the annual precipitation in Karst valleys and non-karst areas was increasing

the trend was not significant. While other areas (karst troughs

peak-cluster depressions

Karst Plateau

and karst basins) showed all downtrend of precipitation

and the karst basin’s deceleration rate was -37.57 mm/10 a

which downtrend was the most significant

and it was 1.37~2.25 times of the other three regions. The annual precipitation descended at a rate of -16.50 mm/10 a

and annual precipitation tended to decrease from northeast to southwest in the space. The increase of precipitation in autumn and winter contributed the most to annual precipitation

while in spring and summer the precipitation showed a downtrend. Meanwhile the annual precipitation days and the maximum daily precipitation also showed a decreasing trend

the latter trend was most obvious after the 1980s so that the average maximum daily precipitation decreased to about 1/10 of that in the 1960s. In addition

the annual precipitation in non-karst areas and Karst Plateau changed abruptly from 1985 to 1986

and in karst basins the annual precipitation had a change in 2001 abruptly. There was no abrupt change in the annual precipitation in Karst troughs and peak-cluster depressions and Karst valleys.

关键词

Keywords

references

IPCC. Climate Change 2013:The physical science basis contribution of working group one to the fifth assessment report of the intergovernmental panel on climate change.Cambridge:Cambridge University Press,2013:1-1552.

Fischer T, Menz C, Su B, et al. Simulated and projected climate extremes in the Zhujiang River Basin, South China, using the regional climate model COSMO-CLM[J].International Journal of Climatology,2013,33(14):2988-3001.

徐利岗,周宏飞,梁川,等.中国北方荒漠区降水多时间尺度变异性研究[J].水利学报,2009,40(8):1002-1011.

Ji F, Wu Z H, Huang J P, et al. Evolution of land surface air temperature trend[J].Nature Climate Change,2014,4(6):462-466.

Klein Tank A M G, Konnen G P. Trends in indices of daily temperature and precipitation extremes in Europe, 1946-1999[J].Journal of Climate,2003,16(22):3665-3680.

Liu X M, Zhang M J, Wang S J, et al. Assessment of diurnal variation of summer precipitation over the Qilian Mountains based on an hourly merged dataset from 2008 to 2014[J].Journal of Geographical Sciences,2017,27:326-336.

赖成光,陈晓宏,王兆礼,等.珠江流域1960-2012年降雨侵蚀力时空变化特征[J].农业工程学报,2015,31(8):159-167.

杨振华,周秋文,郭跃,等.基于SPA-MC模型的岩溶地区水资源安全动态评价:以贵阳市为例[J].中国环境科学,2017,37(4):1589-1600.

董旭光,顾伟宗,孟祥新,等.山东省近50年来降水事件变化特征[J].地理学报,2014,69(5):661-671.

李加顺,刘丽.1951-2015年昆明地区降水变化规律分析[J].人民长江,2017,48(增刊1):120-122.

叶柏生,李翀,杨大庆,等.我国过去50 a来降水变化趋势及其对水资源的影响(Ⅰ):年系列[J].冰川冻土,2004,26(5):587-594.

彭睿文,罗娅,余军林,等.中国西南地区2009-2015年植被覆盖度变化及其与降雨的关系[J].贵州师范大学学报(自然科学版),2017,35(5):15-23.

余祝媛,贺中华,梁虹,等.贵州省近55年降水量时空变化分析[J].江苏农业科学,2019,47(6):208-215.

金建德,严小冬,雷云,等.西北太平洋海温变化对贵州夏季降水的影响[J].热带气象学报,2006,22(2):192-197.

武文博,游庆龙,王岱.基于均一化降水资料的中国极端降水特征分析[J].自然资源学报,2016,31(6):1015-1026.

张志才,陈喜,王文,等.贵州降雨变化趋势与极值特征分析[J].地球与环境,2007,35(4):351-356.

张波,谷晓平,古书鸿.贵州省最大日降雨量时空分布及重现期估算[J].水土保持研究,2017,24(1):167-172.

Tong X, Wang K, Yue Y, et al. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China[J].International Journal of Applied Earth Observation and Geo Information,2017,54:105-113.

莫跃爽,周秋文.贵州省1960-2014年不同地貌类型的气温变化特征[J].水土保持研究,2019,26(4):166-170,176.

陆文秀,刘丙军,陈俊凡,等.近50 a来珠江流域降水变化趋势分析[J].自然资源学报,2014,29(1):80-90.

魏凤英.现代气候统计诊断与预测技术[M].北京:北京气象出版社,1999.

刘稳,刘国东,夏菁.近57年云南降水量时空格局及周期特性研究[J].人民长江,2018,49(增刊2):80-85,123.

李斌,解建仓,胡彦华,等.西安市近60年降水量和气温变化趋势及突变分析[J].南水北调与水利科技,2016,14(2):55-61.

谢亚玲,袁德福,岑剑,等.平塘县48 a降水气候特征分析[J].贵州气象,2012,36(6):43-44.

徐建新,陈学凯,黄鑫,等.贵州省近50年降水量时空分布及变化特征[J].水电能源科学,2015,33(2):10-14.

吴绍洪,潘韬,曹杰,等.西南纵向岭谷地形对季风的"通道-阻隔"作用[J].地理研究,2012,31(1):1-13.

闫星光,吴琳娜,宋具兰,等.1951-2013年贵州省降水时空分布研究[J].科技通报,2019,35(2):20-25.

艳艳.强降水对相关气象要素的依赖性研究[D].北京:中国气象科学研究院,2019.

曹永强,刘佳佳,王学凤,等.黄淮海流域旱涝周期、突变点和趋势分析研究[J].干旱区地理,2016,39(2):275-284.

刘江涛,徐宗学,赵焕,等.1973-2016年雅鲁藏布江流域极端降水事件时空变化特征[J].山地学报,2018,36(5):750-764.

王乐,刘德地,李天元,等.基于多变量M-K检验的北江流域降水趋势分析[J].水文,2015,35(4):85-90.

梅静,王建,何亮,等.川西甘孜州1961-2015年气温和降水时空变化特征研究[J].山地学报,2019,37(2):161-172.

Views

1446

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Comparison of Spatial Interpolation Methods for Potential Soil Erosion in Guizhou Province Based on Census Sampling Units

Impulse Response Mechanism of Agricultural Drought to Local Climate Factor at Different Time Scales in Karst Region

The Relationship Between Rainfall Erosivity and ENSO in Fujian Province During 1956—2013

Effects of Climate Change and Human Activities on Vegetation Change in Guizhou Province from 2001 to 2020

Synergistic Evolution and Interaction of Soil Erosion and Rocky Desertification in Karst Area

Related Author

YANG Qinke

ZHANG Keli

YUAN Ruilin

YU Huan

HE Zhonghua

GU Xiaolin

XU Mingjin

TAN Hongmei

Related Institution

College of Urban and Environmental Sciences， Northwest University

State Key Laboratory of Earth Surface Processes and Resource Ecology

Faculty of Geographical Science， Beijing Normal University

Guizhou Bureau of Hydrology and Water Resources

Guizhou Provincial Key Laboratory of Remote Sensing Application of Mountain Resources and Environment

⁰