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山西省2000—2016年降雨侵蚀力时空分布特征

Spatial and temporal distribution characteristics of rainfall erosivity during 2000-2016 in Shanxi province

  • 摘要: 降雨侵蚀力(R)反映降雨引发土壤侵蚀的潜在能力,研究其时空变化特征对区域土壤侵蚀监测、评估、预报和治理等工作具有重要意义。利用山西省109个气象站2000—2016年日降雨量资料,根据半月降雨侵蚀力估算模型,采用考虑高程的协同克里金法进行空间内插,得到全省多年平均降雨侵蚀力并分析其时空分布特征。结果表明:山西省R值在663.05~2 810.32 MJ·mm/(hm2·h·a)之间,平均为1 628.71 MJ·mm/(hm2·h·a)。空间分布上,研究区R值总体呈现由西北向东南递增的规律:北部地区<中部地区<南部地区<东南部地区。同一地区随海拔的增加,R值呈增加趋势。时间变化上,研究区R值年内分配不均,总体呈现先上升后下降的变化趋势。全年90%以上的降雨侵蚀力集中在暖季(5—9月)。山西省R值与年降雨量(P)、年侵蚀性降雨量(Py12)存在极显著相关关系,可分别用幂函数R=0.006 8P1.99R=0.34Py121.48进行简易估算。7—9月是全省水土流失防控的关键时期。

     

    Abstract:
    Background  Rainfall erosivity (R-factor) reflects the potential of soil erosion caused by rainfall. It is of great practical significance to study the temporal and spatial distribution characteristics of R-factor. Shanxi is one of the most serious soil erosion provinces in China. In order to reveal the influencing factors of soil erosion and their contribution rates in Shanxi, it is necessary to study the R-factor in the province. There are many R-factor estimation models at home and abroad, among which the semi-monthly model proposed by Chinese scholar ZHANG Wenbo is widely used.
    Methods  Based on the daily rainfall data of 109 weather stations in Shanxi province from 2000 to 2016, this paper estimated the R-factor by using the mentioned semi-monthly model and co-Kriging interpolation method. Then it analyzed the temporal and spatial distribution characteristics of R-factor.
    Results  There were about 12 erosive rainfalls per year in Shanxi, with an average rainfall of 24.59 mm. The average annual erosive rainfall (Py12) of 109 weather stations was significantly correlated with the average annual erosive rainfall (P). The relationship between the two was expressed by Py12=0.80P-96.86. The R-factor in the study area was from 663.05 to 2 810.32 MJ·mm/(hm2·h·a) with an average of 1 628.71 MJ·mm/(hm2·h·a). Moreover, the R-factor in the three-quarters of the study area was 1 200-2 000 MJ·mm/(hm2·h·a). In terms of spatial distribution, the R-factor generally showed an increasing trend from northwest to southeast. To be specific, the Southeastern region had the highest R-factor followed by the Southern region, the Middle region again, and the Northern region with the lowest. In terms of temporal distribution, the R-factor was unevenly distributed within the year, showing a trend of first rising and then decreasing, and the highest value usually appeared in the second half of July. Affected by the monsoon climate, more than 90% of annual rainfall erosivity was concentrated in the warm season (from May to September).
    Conclusions  The frequency of erosive rainfall in Shanxi province is relatively high. The R-factor is significantly correlated with annual average rainfall (P) and annual average erosive rainfall (Py12), which are estimated by R=0.006 8P1.99 and R=0.34Py121.48 respectively. Most of erosive rainfall occur from July to September, thus this period is particularly critical for soil erosion prevention and control in the entire province.

     

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