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成都市降雨量及降雨侵蚀力年内分布特征研究

吴明洋   

  • 出版日期:2019-04-28 发布日期:2019-04-28

Characteristics of annual spatial and temporal distribution of rainfall andrainfall erosivity in Chengdu

WU Mingyang   

  • Online:2019-04-28 Published:2019-04-28

摘要: 〗根据成都市1991~2010年逐日降雨数据,分析降雨量和降雨侵蚀力的分布特征。结果表明:成都市多年平均降雨量先增大再减小,8月份降雨量为245.79 mm,占全年降雨量的27.76%。7,8月份侵蚀性降雨量为169.4 mm和211.4 mm,分别占多年平均降雨量的19.14%和23.89%,发生侵蚀性降雨天数为7.8 d和5.1 d。成都市多年平均降雨侵蚀力年内分布呈单峰式分布型,多年平均降雨侵蚀力为2 921.57 MJ·mm/(hm2·h),7,8月份为1 000.65 MJ·mm/(hm2·h)和1 008.97 MJ·mm/(hm2·h)。降雨侵蚀力具有明显的季节性分布特征,春季、夏季、秋季、冬季的降雨侵蚀力分别为262.85,2297.46,350.06,11.2 MJ·mm/(hm2·h),夏季占全年的78.64%。降雨侵蚀力与侵蚀性降雨量的相关性优于降雨侵蚀力与降雨量的相关性。研究结果可为成都市土壤侵蚀预报与评价提供科学依据。

关键词: 降雨侵蚀力, 降雨量, 侵蚀性降雨, 季节分布, 成都市

Abstract: Based on the daily rainfall data from 1991 to 2010 in Chengdu, Sichuan, the distribution characteristics of rainfall and rainfall erosivity were analyzed. The results indicated that the annual average rainfall has increased first and then decreased in Chengdu. The rainfall in August was 245.79 mm, accounting for 27.76% of the annual rainfall. The erosive rainfall was 169.4 mm and 211.4 mm in July and August accounting for 19.14% and 23.89% of the average annual rainfall, respectively. The erosive rainfall days were 7.8 d and 5.1 d in July and August. The annual distribution of annual mean rainfall erosivity in Chengdu showed a single peak distribution pattern. The annual average rainfall erosivity was a single peak distribution pattern with erosivity of 2921.57 MJ·mm/(hm2·h). The average rainfall erosivity of July and August were 1000.65 MJ·mm/(hm2·h) and 1008.97 MJ·mm/(hm2·h), respectively, showing obvious seasonal distribution characteristic. The rainfall erosivity of spring, summer, autumn and winter were 262.85, 2297.46, 350.06, 11.2 MJ·mm/(hm2·h), and summer accounting for 78.64% of the whole year. The correlation between rainfall erosivity and erosive rainfall was better than that between rainfall erosivity and rainfall, and the coefficient of determination is 0.7109. The results could provide scientific basis for prediction and evaluation of soil erosion in Chengdu.

Key words: rainfall erosivity, rainfall, erosive rainfall, seasonal distribution, Chengdu