1. 长安大学 土地工程学院,陕西,西安,710054
2. 陕西省土地整治重点实验室,陕西,西安,710054
纸质出版:2023
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张悦, 张艳, 史飞航, 等. 基于不同模型的黄河中游降雨侵蚀力时空变化分析[J]. 水土保持通报, 2023,43(2):220-229.
Zhang Yue, Zhang Yan, Shi Feihang, et al. Temporal and Spatial Variation of Rainfall Erosivity in Middle Reaches of Yellow River Based on Different Models[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 220-229.
张悦, 张艳, 史飞航, 等. 基于不同模型的黄河中游降雨侵蚀力时空变化分析[J]. 水土保持通报, 2023,43(2):220-229. DOI: 10.13961/j.cnki.stbctb.2023.02.026.
Zhang Yue, Zhang Yan, Shi Feihang, et al. Temporal and Spatial Variation of Rainfall Erosivity in Middle Reaches of Yellow River Based on Different Models[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 220-229. DOI: 10.13961/j.cnki.stbctb.2023.02.026.
[目的
]
基于不同模型探究黄河中游地区降雨侵蚀力的时空演变特征,为该地区水土流失危害评估、水土保持措施规划提供参考依据。[方法
]
采用黄河中游1981—2020年日降雨量数据集,基于两种降雨侵蚀力模型探究了降雨和降雨侵蚀性的时空变化特征。 [结果
]
黄河中游年均降雨量为349.90~699.90 mm,空间上自东南向西北呈波浪形递减趋势,时间上呈多峰状不显著的波动上升趋势特征,存在2 a主周期变化特征。黄河中游两种模型的降雨侵蚀力年际变化趋势特征和周期性相似,但降雨量越大的地区,两模型估算的降雨侵蚀力结果相差越大。谢云模型估算的降雨侵蚀力结果与降雨量相对更拟合。黄河中游年均降雨侵蚀力为767.00~3 003.40 MJ·mm/(hm
2
·h),具有高度月度集中性,集中于7—8月,呈单峰型。 [结论
]
黄河中游年均降雨侵蚀力具有显著的垂直空间差异,且在地形和地貌影响下空间差异会发生变化,高海拔地区的变化系数通常高于低海拔地区。在东南部秦岭山区和关中平原等地区,随海拔升高,降雨侵蚀力迅速减少,在西北部黄土高原区,随海拔升高而逐渐增加。因此在黄河中游降雨侵蚀性增加的地区,应采取适当措施,减少土壤侵蚀的潜在风险,确保区域生态安全的可持续发展。
[Objective] Based on different models
the spatiotemporal evolution characteristics of rainfall erosivity in the middle reaches of the Yellow River were explored
in order to providing a reference basis for the assessment of soil erosion hazards and planning of soil and water conservation measures in this area. [Methods] Daily rainfall data from 1981 to 2020 for the middle reaches of the Yellow River was used to explore the temporal and spatial variation characteristics of rainfall and rainfall erosivity based on two rainfall erosivity models. [Results] Average annual rainfall in the middle reaches of the Yellow River was between 349.90 mm and 699.90 mm. Spatial variation followed a fluctuating decreasing trend from southeast to northwest. Temporal variation exhibited a multi-peak insignificant upward fluctuation that had a 2-year main cycle change feature. There were some similarities between the two models of rainfall erosivity from the interannual trend characteristics and periodicity in the middle reaches of the Yellow River. However
areas with greater rainfall exhibited greater differences in rainfall erosivity estimated by the two models. The average annual rainfall erosivity in the middle reaches of the Yellow River was 767.00~3 003.40 MJ·mm/(hm2·h)
exhibiting a high monthly concentration (concentrated in July-August) and showing a single peak shape. [Conclusion] There were significant vertical spatial differences from annual average rainfall erosivity in the middle reaches of the Yellow River
and there were spatial differences resulting from the influence of topography and landforms. The coefficient of variation in high-altitude areas was generally greater than in low-altitude areas. In the Qinling Mountains and the Guanzhong Plain in the southeast
the erosivity of rainfall decreased rapidly with increasing altitude. In in the northwest of the Loess Plateau region
the erosivity of rainfall increased gradually with increasing altitude. Therefore
in areas where erosivity of rainfall increases in the middle reaches of the Yellow River
appropriate measures should be taken to reduce the potential risk of soil erosion and to ensure the sustainable development of regional ecological security.
章文波,谢云,刘宝元.用雨量和雨强计算次降雨侵蚀力[J].地理研究,2002(03):384-390.
高歌,殷水清,陈涛,等.长江流域降雨侵蚀力时空变化及成因分析[J].农业工程学报,2022,38(3):84-92.
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.
Wischmeier W H, Johnson C B, Cross B V. A soil erodibility nomograph for farmland and construction sites [J]. Journal of Soil and Water Conservation, 1971,26(5):189-193.
Renard K G, Foster G R, Weesies G, et al. Predicting Soil Erosion by Water:A Guide to Conservation Planning with the Revised Universal Soil Loss Equation(RUSLE) [M]. Washington USA: Department of Agriculture, 1997.
范建容,严冬,郭祥.GIS支持下的长江上游降雨侵蚀力时空分布特征分析[J].水土保持研究,2010,17(1):92-96.
殷水清,薛筱婵,岳天雨,等.中国降雨侵蚀力的时空分布及重现期研究[J].农业工程学报,2019,35(9):105-113.
李维杰,王建力.太行山脉不同量级降雨侵蚀力时空变化特征[J].自然资源学报,2019,34(4):785-801.
Zhang Yan, Chao Yang, Fan Ruirui, et al. Spatial-temporal trends of rainfall erosivity and its implication for sustainable agriculture in the Wei River basin of China [J]. Agricultural Water Management, 2021,245:106557.
陈剑南,刘益麟,李朋飞,等.1901—2016年黄土高原降雨侵蚀力时空变化[J].水土保持研究,2022,29(4):39-46.
Yu B, Rosewell C J. An assessment of a daily rainfall erosivity model for New South Wales[J]. Soil Research, 1996, 34(1): 139-152.
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(06):705-711.
Xie Yun, Yin Shuiqing, Liu Baoyuan, et al. Models for estimating daily rainfall erosivity in China [J]. Journal of Hydrology, 2016,535:547-558.
祝艳波,兰恒星,彭建兵,等.黄河中游地区水土灾害机理与灾害链效应研究进展[J].人民黄河,2021,43(8):108-116,147.
杨义,舒和平,马金珠,等.基于Mann-Kendall法和小波分析中小尺度多年气候变化特征研究:以甘肃省白银市近50年气候变化为例[J].干旱区资源与环境,2017,31(5):126-131.
邵晓梅,许月卿,严昌荣.黄河流域降水序列变化的小波分析[J].北京大学学报(自然科学版),2006,42(4):503-509.
钟科元,郑粉莉.1960—2014年松花江流域降雨侵蚀力时空变化研究[J].自然资源学报,2017,32(2):278-291.
Chen Yuhong, Xu Menghua, Wang Zhaoli, et al. Reexamination of the Xie model and spatiotemporal variability in rainfall erosivity in Mainland China from 1960 to 2018[J]. Catena, 2020,195(1):104-837.
陈剑南,刘益麟,李朋飞,等.1901—2016年黄土高原降雨侵蚀力时空变化[J].水土保持研究,2022,29(4):39-46.
李大伟,段克勤,石培宏,等.秦岭中部山地降水的垂直变化研究[J].地理学报,2022,77(7):1762-1774.
高歌,韩振宇,殷水清,等.黄河流域1961—2017年降雨侵蚀力特征与未来变化预估[J].应用基础与工程科学学报,2021,29(3):575-590.
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