[1]ZHU Meng,ZHOU Zhongfa,JIANG Yi,et al.Spatial and Temporal Heterogeneity of Precipitation Based on the Landforms of Guizhou Plateau[J].Research of Soil and Water Conservation,2020,27(03):181-189.
Copy
Spatial and Temporal Heterogeneity of Precipitation Based on the Landforms of Guizhou Plateau
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
27
Number of periods:
2020 03
Page number:
181-189
Column:
目次
Public date:
2020-04-20
- Title:
- Spatial and Temporal Heterogeneity of Precipitation Based on the Landforms of Guizhou Plateau
- CLC:
- P426.6
- DOI:
- -
- Abstract:
- In order to explore the spatial and temporal heterogeneity of precipitation and the influencing factors in areas with different geomorphic types, the 68-year data of the precipitation, temperature and humidity in 19 meteorological stations in Guizhou Province were taken as data sources. Taking into account different elevations, longitudes and latitudes for the influence of precipitation, we used Mann-Kendall nonparametric mutation detection, sliding average and anomaly cumulative analysis trend, and inverse distance weight interpolation method to express the precipitation of different geomorphological types and the spatial distribution characteristics of each impact factor. The results show that:(1)the precipitation in Guizhou Province has been generally declining, the temperature has been rising in the long time series, the relative humidity decline rate is greater than the precipitation decline rate;(2)the precipitation is positively correlated with the temperature, and the precipitation in the non-karst landform shows a slight upward trend, the a downward trend for the peak cluster depressions, karst troughs, karst fault basins, karst plateaus and karst gorges, and the rates of decline are different. The rates decrease in the order: karst fault basin>karst plateau>karst canyon>karst trough>peak cluster depression;(3)in non-karst, peak cluster depression, karst trough, karst fault basin and karst plateau, two wet periods were found in the periods of 1967—1980 and 1993—2000, three dry seasons occurred in the periods of 1951—1960, 1985—1992 and 2005—2018, while the precipitation in the karst gorge area is greater than the average, the precipitation is abundant, there is no obvious dry period;(4)except peak cluster depression, the mutation points in non-karst, karst troughs, karst fault basins, karst plateaus, and karst gorges occurred in 2013, 1984, 1986, 1980, and 1986, respectively, there is a significant mutation in annual precipitation;(5)precipitation is positively correlated with longitude in terms of the spatial characteristics, and negatively correlated with latitude and altitude; with respect to the spatial distribution characteristics of precipitation on different geomorphic units, the volumes of precipitation increase in the order: karst plateau <karst gorge <karst trough <non-K< peak cluster depression <karst fault basin. Understanding the temporal and spatial characteristics of precipitation in different geomorphological areas and their changing patterns can provide the scientific basis for natural disaster warning caused by precipitation.
- References:
-
[1] 凡非得,王克林,熊鹰,等.西南喀斯特区域水土流失敏感性评价及其空间分异特征[J].生态学报,2011,31(21):6353-6362.
[2] 侯文娟,高江波,彭韬,等.结构—功能—生境框架下的西南喀斯特生态系统脆弱性研究进展[J].地理科学进展,2016,35(3):320-330.
[3] 杨江州,周旭,程东亚,等.贵州省不同地貌类型区的MOD16蒸散发变化特征[J].水土保持研究,2019,26(2):216-222.
[4] 时光训,刘建,马力,等.1970—2014年长江流域极端降水过程的时空变化研究[J].水文,2017,37(4):7-85.
[5] 刘占明,陈子燊.韶关市极端降水变化趋势分析[J].人民珠江,2017,38(6):6-10.
[6] 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.
[7] 白淑英,莫婷,史建桥,等.近50年贵州不同强度降水日数时空变化分析[J].南水北调与水利科技,2015,13(2):220-224.
[8] 张勇荣,马士彬,闫利会.贵州省近55年降水事件变化特征[J].长江科学院院报,2017,34(1):40-44.
[9] 洪美玲,何士华.1961—2010年怒江流域降雨时空变化[J].水土保持研究,2019,45(7):7-25210,54.
[10] 宗天韵,周玮莹,周平.南岭山地1968到2015年降雨的时空变化特征研究[J].生态科学,2019,38(2):182-190.
[11] 覃平阳,吴国灿.1951—2015年潍坊市降水特征分析[J].现代农业科技,2019(10):158-161[2019-06-14].
[12] 张雪琴,刘树林,冯坤,等.毛乌素沙区1961—2016年降水特征[J].中国沙漠,2019(6):1-10[2019-06-14].
[13] 郜红娟,蔡广鹏,张朝琼,等.基于InVEST模型的贵州山区不同地貌区生境退化程度评估[J].西部林业科学,2016,45(4):90-94,106.
[14] Wang Huan, Gao Jiangbo, Hou Wenjuan. Quantitative attribution analysis of soil erosion indifferent geomorphological types in karst areas:Based on the geodetector method[J]. Journal of Geographical Sciences, 2019,29(2):271-286.
[15] Gao Xiaoyu, Cheng Weiming, Ma Ting, et al. Spatial-temporal distribution of cropland in China based on geomorphologic regionalization during 1990—2015[J]. Journal of Geographical Sciences, 2019,29(2):180-196.
[16] 于越男,谢在刚,汪天祥,等.碧流河水库近30年气温与降水变化特征分析[J].东北水利水电,2019,37(3):38-41.
[17] 苗运玲,秦榕,张云惠,等.东天山北坡气温与降水时空变化特征[J].水土保持研究,2019,26(3):219-223,231.
[18] 刘卫林,刘丽娜,朱圣男,等.基于SDSM的赣江流域未来降水与气温的时空变化分析[J].水力发电,2019,45(7):7-10,54.
[19] 陆福志,鹿化煜.秦岭—大巴山高分辨率气温和降水格点数据集的建立及其对区域气候的指示[J].地理学报,2019,74(5):875-888.
[20] 周德宏,王英,赵奕兵,等.羊毛湾水库流域气温和降水变化特征分析[J].中国农学通报,2019(17):81-89.
[21] 刘濛濛,隆永兰.巴音布鲁克近58年气候变化特征分析[J].干旱区地理,2019,42(4):715-723.
[22] 毛列尼?阿依提看,玉素甫?木沙,郭品文.近10 a新疆短时强降水湿度层结及大气能量结构特征分析[J].沙漠与绿洲象,2017,11(2):43-49.
[23] 曾波,王钦.我国南方地区50 a冬季降水和相对湿度特征分析[J].长江流域资源与环境,2018,27(4):828-839.
[24] 赵志龙,罗娅,余军林,等.贵州高原1960—2016年降水变化特征及重心转移分析[J].地球信息科学学报,2018,20(10):1432-1442.
[25] Tong X, Wang K, Yue Y, et al. Quantifying the effective-ness of ecological restoration projectsOn longtenn vegetation dynamics in the karst regions of Southwest China[J]. International Journal of Applied Earth Observation&Geoinformation.2017.54.105-113.
[26] Mannhb. Non-parametric Test Against Trend[J]. Economet-rica, 1945,13:245-259.
[27] Kendallmg, Mauriceg. Rank correlation methods[M]. London, Griffin, 1948.
[28] 刘吉余,张靖.应用加权滑动平均法定量预测砂体[J].石油地质与工程,1997(4):6-7.
[29] 穆兴民,李靖,王飞,等.黄河天然径流量年际变化过程分析[J].干旱区资源与环境,2003(2):1-5.
[30] 朱求安,张万昌,余钧辉.基于GIS的空间插值方法研究[J].江西师范大学学报:自然科学版,2004,28(2):183-188.
- Similar References:
Memo
-
Last Update:
2020-04-30