新疆维吾尔自治区1981-2018年降雨侵蚀力的空间变化特征

伊力哈木·; 伊马木

doi:10.13961/j.cnki.stbctb.2020.04.001

您当前的位置：

首页 >

文章列表页 >

新疆维吾尔自治区1981-2018年降雨侵蚀力的空间变化特征

试验研究

- 新疆维吾尔自治区1981-2018年降雨侵蚀力的空间变化特征
- Spatial Variation of Rainfall Erosivity in Xinjiang Uygur Autonomous Region from 1981 to 2018
- 水土保持通报 2020年40卷第4期页码：1-9
- 作者机构：
  
  新疆维吾尔自治区水土保持生态环境监测总站,新疆,乌鲁木齐,830000
- 作者简介：
- 基金信息：
  
  新疆维吾尔自治区财政专项“天山北坡典型区水土流失与经济发展关系研究”（213031002）
- DOI：10.13961/j.cnki.stbctb.2020.04.001
  中图分类号： S157.1;TV125
- 纸质出版：2020
- 稿件说明：
移动端阅览
伊力哈木·, 伊马木. 新疆维吾尔自治区1981-2018年降雨侵蚀力的空间变化特征[J]. 水土保持通报, 2020,40(4):1-9.

Yilihamu·, Yimamu. Spatial Variation of Rainfall Erosivity in Xinjiang Uygur Autonomous Region from 1981 to 2018[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 1-9.
伊力哈木·, 伊马木. 新疆维吾尔自治区1981-2018年降雨侵蚀力的空间变化特征[J]. 水土保持通报, 2020,40(4):1-9. DOI： 10.13961/j.cnki.stbctb.2020.04.001.

Yilihamu·, Yimamu. Spatial Variation of Rainfall Erosivity in Xinjiang Uygur Autonomous Region from 1981 to 2018[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 1-9. DOI： 10.13961/j.cnki.stbctb.2020.04.001.

摘要

[目的

]

分析1981—2018年新疆维吾尔自治区降雨侵蚀力空间变化特征，为该区土壤水力侵蚀理论研究和开展水土保持相关实践工作提供科学参考。[方法

]

以1981—2018年新疆38个气象站的逐日降雨资料为基础，采用半月降雨侵蚀力算法模型计算降雨侵蚀力因子R，进而反映降雨对土壤侵蚀的内在作用，并采用倾向率和Kriging插值方法分析新疆降雨侵蚀力的空间变化特征。[结果

]

①新疆多年平均降雨侵蚀力和降雨量空间格局相似，呈西高东低，中部高南北低的格局。近40 a新疆年降雨侵蚀力总体上处于波动增加趋势，其平均增速为15.6[MJ·mm/（hm

·h·a）

]

/10 a，但因区域不同而有差异，其倾向率天山北部多呈正值，南部多为负值或持平，且北部高于南部。②降雨侵蚀力最大倾向率多出现在夏季（6—8月），但不同区域四季分配格局不同，北部大部分区域春、夏季较高，南部大部分区域夏、秋季较高，多年平均降雨侵蚀力年内分配呈集中在“春夏”格局，但不同区域集中程度不同，其年内集中程度均为降雨侵蚀力高于降雨量，说明能够产生土壤侵蚀的大降雨事件多出现在5—8月。[结论

]

气候和海拔高度是影响降雨侵蚀力格局的关键要素，在气候变化背景下，春夏季的大降水事件对新疆天山山区土壤水力侵蚀不容忽视。

Abstract

[Objective] The spatial variation characteristics of rainfall erosivity in Xinjiang Uygur Autonomous Region from 1981 to 2018 were analyzed in order to provide a scientific reference for the theoretical study of soil hydraulic erosion

and for the practical work related to soil and water conservation in the region. [Methods] Based on the daily rainfall data of 38 meteorological stations in Xinjiang region from 1981 to 2018

the half-month rainfall erosion algorithm model was used to calculate the rainfall erosivity factor R

which reflected the intrinsic effect of rainfall on soil erosion. The ratios of multi-year average half monthly rainfall erosivity were calculated

and Kriging interpolation method was used to analyze the spatial variation characteristics of rainfall erosion in Xinjiang region. [Results] ① The spatial variation of rainfall erosivity was similar with the spatial variation of precipitation in Xinjiang region

showing a pattern of higher in the west and lower in the east

higher in the middle and lower in the south and north. As a whole

the annual rainfall erosivity showed an increasing trend with a growth rate of 15.6[MJ·mm/(hm2·h·a)]/10 a

although it varied among regions. The trend rate was positive in most areas of the Northern Tianshan while negative or zero in most areas of the Southern Tianshan

and which was higher in the northern part than in the southern part. ② Higher trend rate of rainfall erosivity appeared mostly in summer (from June to August)

however the seasonal distribution pattern was different in various regions. The higher tendency rate occurred in spring and summer across most of the north part

meanwhile it occurred in summer and autumn across most of the south part. The distribution of multi-year average rainfall erosivity concentrated in spring and summer

but different in various regions. The distribution of rainfall erosivity was more concentrated than rainfall. These indicated that the erosive rainfall events mostly occurred from May to August. [Conclusion] Climate and altitude are key factors affecting the patterns of rainfall erosivity. In the context of climate change

the heavy rainfall events in spring and summer should not be ignored for soil hydraulic erosion in Tianshan Mountain of Xinjiang region.

关键词

Keywords

references

Panagos P, Borrelli P, Meusburger K, et al. Global rainfall erosivity assessment based on high-temporal resolution rainfall records[J]. Scientific Reports, 2017,7(1):1-12.

章文波,谢云,刘宝元.中国降雨侵蚀力空间变化特征[J].山地学报,2003,21(1):33-40.

郑粉莉,王占礼,杨勤科.我国水蚀预报模型研究的现状、挑战与任务[J].中国水土保持科学,2005,3(1):7-14.

章文波,付金生.不同类型雨量资料估算降雨侵蚀力[J].资源科学,2003,25(1):35-41.

章文波,谢云,刘宝元.利用日雨量计算降雨侵蚀力的方法研究[J].地理科学,2002,22(6):705-711.

殷水清,谢云,王春刚.用小时降雨资料估算降雨侵蚀力的方法[J].地理研究,2007,26(3):541-547.

Angulo-Martínez M, Beguería S. Estimating rainfall erosivity from daily precipitation records:A comparison among methods using data from the Ebro Basin(NE Spain)[J]. Journal of Hydrology, 2009,379(1):111-121.

王万忠,焦菊英.中国降雨侵蚀力

值的计算与分布(Ⅱ)[J].土壤侵蚀与水土保持学报,1996,2(1):29-39.

Ferro V, Porto P, Yu B. A comparative study of rainfall erosivity estimation for Southern Italy and Southeastern Australia[J]. Hydrological Sciences Journal, 1999,44(1):3-24.

姬翠翠,李晓松,曾源,等.基于遥感和GIS的宣化县水土流失定量空间特征分析[J].国土资源遥感,2010(2):107-112,117.

Lee J H, Heo J H. Evaluation of estimation methods for rainfall erosivity based on annual precipitation in Korea[J]. Journal of Hydrology, 2011,409(1/2):30-48.

杨孟豪,曹连海,夏帆,等.河南省许昌市降雨侵蚀力演变特征研究[J].江苏农业科学,2019,47(17):281-288.

章文波,谢云,刘宝元.降雨侵蚀力研究进展[J].水土保持学报,2002,16(5):43-46.

刘斌涛,陶和平,宋春风,等.我国西南山区降雨侵蚀力时空变化趋势研究[J].地球科学进展,2012,27(5):499-509.

Zhu Zhongli, Yu Bofu. Validation of rainfall erosivity estimators for mainland China[J]. Transactions of the ASABE, 2015,58(1):61-71.

何绍浪,郭小君,李凤英,等.中国南方地区近60年来降雨量与降雨侵蚀力时空变化研究[J].长江流域资源与环境,2017,26(9):1406-1416.

Keos,何洪鸣,赵宏飞,等.黄土高原50余年来降雨侵蚀力变化及其对土壤侵蚀的影响[J].水土保持研究,2018,25(2):1-7.

Capolongo D, Diodato N, Mannaerts C M, et al. Analyzing temporal changes in climate erosivity using a simplified rainfall erosivity model in Basilicata (Southern Italy)[J]. Journal of Hydrology, 2008,356(1/2):119-130.

Xie Yun, Yin Shui qing, Liu Baoyuan, et al. Models for estimating daily rainfall erosivity in China[J]. Journal of Hydrology, 2016,535:547-558.

刘斌涛,陶和平,宋春风,等.1960-2009年中国降雨侵蚀力的时空变化趋势[J].地理研究,2013,32(2):245-256.

马良,姜广辉,左长清,等.江西省50余年来降雨侵蚀力变化的时空分布特征[J].农业工程学报,2009,25(10):61-68.

刘燕玲.黑龙江省降雨侵蚀力的变化规律[D].黑龙江哈尔滨:东北林业大学,2010.

刘春利,杨勤科,谢红霞.延河流域降雨侵蚀力时空分布特征[J].环境科学,2010,31(4):850-857.

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.

Huang Jin, Zhang Jinchi, Zhang Zengxin, et al. Spatial and temporal variations in rainfall erosivity during 1960-2005 in the Yangtze River basin[J]. Stochastic Environmental Research and Risk Assessment, 2013,27(2):337-351.

刘斌涛,陶和平,宋春风,等.我国西南山区降雨侵蚀力时空变化趋势研究[J].地球科学进展,2012,27(5):499-攵挰椹瀮椼瑢慲琾楛漲渷??瑨攏淺瀬旄犎憌琮疏狺攁?懨溵撀?爇椇瘼敩爾?爼甯湩漾昼晛?楝渮?土??敦溥琬爱愹氹‵?猹椨愱?携由爳椭渱朸?琼桢敲￣灛愲猸瑝?㈩?????礥攬慨犪獰嬮?崜?※?泙澹才懨沵???僴氆愃滄斋琔慶牛祊??棭愦渰朆攬?‰日?????????????????br>[29] 殷水清,谢云.黄土高原降雨侵蚀力时空分布[J].水土保持通报,2005,25(4):29-33.

陈浩.黄土高原退耕还林前后流域土壤侵蚀时空变化及驱动因素研究[D].陕西杨凌:西北农林科技大学,2019.

康婷,胡锡健,张辉国.基于新疆地区降水量与气温的空间异质性的空间展开模型分析[J].山东理工大学学报(自然科学版),2015,29(2):36-39,43.

江远安,刘精,邵伟玲,等.1961-2013年新疆不同时间尺度降水量的气候特征及其历史演变规律[J].冰川冻土,2014,36(6):1363-1375.

杨光华,包安明,陈曦,等.1998-2007年新疆植被覆盖变化及其驱动因素分析[J].冰川冻土,2009,31(3),436-445.

王让会,张慧芝,卢新民.新疆绿洲空间结构特征分析[J].干旱地区农业研究,2002,20(3):109-133.

颜安.新疆土壤有机碳/无机碳空间分布特征及储量估算[D].北京:中国农业大学,2015.

李炳元,潘保田,程维明,等.中国地貌区划新论[J].地理学报,2013,68(3):291-306.

孙丽丽,査轩.海南省60多年来降雨量及降雨侵蚀力变化趋势[J].亚热带水土保持,2019,1(3):23-24.

Lioubimtseva E, Henebry G M. Climate and environmental change in arid Central Asia:Impacts, vulnerability, and adaptations[J]. Journal of Arid Environments, 2009,73(11):963-977.

陈冬冬,戴永久.近五十年我国西北地区降水强度变化特征[J].大气科学,2009,33(5):923-935.

慈晖,张强,张江辉,等.1961-2010年新疆极端降水过程时空特征[J].地理研究,2014,33(10):1881-1891.

张正勇,何新林,刘琳,等.中国天山山区降水空间分布模拟及成因分析[J].水科学进展,2015,26(4):500-508.

Chen F H, Chen J H, Holmes J, et al. Moisture changes over the last millennium in arid Central Asia:A review, synthesis and comparison with monsoon region[J]. Quaternary Science Reviews, 2010,29(7/8):1055-1068.

Wang J, Chen F, Jin L, et al. Characteristics of the dry/wet trend over arid Central Asia over the past 100 years[J]. Climate Research, 2010,41(1):51-59.

Gessner U, Naeimi V, Klein I, et al. The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia[J]. Global & Planetary Change, 2013,110(S):74-87.

王新军,赵成义,杨瑞红,等.基于像元二分法的沙地植被景观格局特征变化分析[J].农业工程学报,2016,32(3):285-294.

Zhang Xingchang, Shao Mingan. Effects of vegetation coverage and management practice on soil nitrogen loss by erosion in a hilly region of the Loess Plateau in China[J]. Acta Botanica Sinica, 2003,45(10):1195-1203.

Grygar T. Variability in pr

浏览量

1034

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

元谋县小黄瓜园水土保持监测站降雨侵蚀力特征及日降雨侵蚀力模型浅析

嘉陵江流域降雨侵蚀力时空变化分析

1991—2023年陕西省榆林市降雨侵蚀力时空变化

嘉陵江典型小流域降雨特征对不同土地利用类型产流产沙的影响

黄土高原丘陵沟壑区降雨侵蚀力的时空分布与变化趋势