Chen Xinru,Liu Huiying,Zhang Jiaxin,et al.Modeling and application of daily rainfall erosivity in Jinjiang River Basin, a tributary of the Ganjiang River[J].Research of Soil and Water Conservation,2025,32(03):1-7.[doi:10.13869/j.cnki.rswc.2025.03.016]
赣江支流锦江流域日降雨侵蚀力模型建立及应用
- Title:
- Modeling and application of daily rainfall erosivity in Jinjiang River Basin, a tributary of the Ganjiang River
- 文章编号:
- 1005-3409（2025）03-0001-07
- Keywords:
- rainfall erosivity; single rainfall; estimation model
- 分类号:
- S157.1
- 文献标志码:
- A
- 摘要:
- [目的]探究影响赣江支流锦江流域降雨侵蚀力的主导雨型，构建日降雨侵蚀力的估算模型，寻找降雨侵蚀力时空分布特征，为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提供数据支撑。[方法]基于2021年的5min雨量数据，揭示锦江流域在特定年份的降雨特征，构建针对研究区的日降雨侵蚀力模型，并与其他模型进行评估并量化偏差，随后，应用长时间序列的数据分析了R因子在流域内的时空异质性。[结果]（1）研究区2021年降雨多以小中雨为主，但大雨和暴雨是降雨量的主要来源，降雨侵蚀力集中在3—8月，与强降雨事件的分布时间一致；（2）模型率定指标MAPE值为0.07~0.21，RMSE为170.55~689.38，MBE为-191.02~136.62，NSE为0.47~0.90，各月指标均是构建模型结果最佳，验证了模型在研究区的优越性；（3）流域R因子在7000MJ·mm/（hm2·h·a）以上，标志着该区域的降雨条件对土壤侵蚀具有显著的潜在影响，其中大雨和暴雨所产生的侵蚀力贡献了57%~70%。[结论]流域强降雨是造成降雨侵蚀力高值的主要原因，多年平均降雨侵蚀力集中在西北部，在设计和实施水土保护措施时，需要特别考虑这类降雨事件的应对方案。
- Abstract:
- [Objective] This study aims to explore the dominant rainfall patterns influencing the rainfall erosivity in the Jinjiang River Basin, a tributary of the Ganjiang River, and construct an estimation model for daily rainfall erosivity to identify its spatiotemporal distribution characteristics, providing data support for mitigating potential soil erosion risks and ensuring sustainable development of regional ecological security. [Methods] Based on the 5 minutes rainfall data from 2021, the rainfall characteristics of the Jinjiang River Basin for that year were revealed. A daily rainfall erosivity model tailored to the study area was constructed, evaluated against other models, and deviations were quantified. Subsequently, long-term data series were applied to analyze the spatial and temporal heterogeneity of the R-factor in the basin. [Results] (1) In 2021, rainfall in the study area was mainly light to moderate, but heavy rainfall and storms were the primary sources of total rainfall. Rainfall erosivity was concentrated from March to August, aligning with the distribution time of intense rainfall events； (2) The model calibration indicators showed that the MAPE values ranged from 0.07 to 0.21, RMSE ranged from 170.55 to 689.38, MBE ranged from -191.02 to 136.62, and NSE ranged from 0.47 to 0.90. The indicators for each month showed the best results, verifying the superiority of the model in the study area； (3) The R-factor in the basin was above 7 000 MJ·mm/(hm2·h·a), indicating that the rainfall conditions in the region have a significant potential impact on soil erosion. Erosive forces generated by heavy rainfall and storms contributed 57% to 70% of the total erosivity. [Conclusion] Intense rainfall within the basin was the primary cause of high rainfall erosivity. The multi-year average rainfall erosivity was concentrated in the northwestern part of the region. When designing and implementing soil and water conservation measures, special consideration must be given to response plans for such rainfall events.
参考文献/References:
[1] Alewell C，Borrelli P，Meusburger K，et al. Using the USLE:chances，challenges and limitations of soil erosion modelling[J]. International Soil and Water Conservation Research，2019，7（3）:203-225.
[2] Li C D，Li Z B，Yang M Y，et al. Grid-Scale impact of climate change and human influence on soil erosion within East African Highlands（Kagera Basin）[J]. International Journal of Environmental Research and Public Health，2021，18（5）:2775.
[3] Pal S C，Chakrabortty R，Roy P，et al. Changing climate and land use of 21st century influences soil erosion in India[J]. Gondwana Research，2021，94:164-185.
[4] Wischmeier W H. A rainfall erosion index for a Universal Soil-Loss Equation[J]. Soil Science Society of America Journal，1959，23（3）:246-249.
[5] Liu Y，Zhao W W，Liu Y X，et al. Global rainfall erosivity changes between 1980 and 2017 based on an erosivity model using daily precipitation data[J]. Catena，2020，194:104768.
[6] 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）:4175.
[7] Lu S J，Chen Y L，Duan X W，et al. Rainfall erosivity estimation models for the Tibetan Plateau[J]. Catena，2023，229:107186.
[8] Yue T Y，Yin S Q，Xie Y，et al. Rainfall erosivity mapping over mainland China based on high-density hourly rainfall records[J]. Earth System Science Data，2022，14（2）:665-682.
[9] Chen Y，Xie Y，Duan X W，et al. Rainfall erosivity mapping in mainland China using 1-minute precipitation data from densely distributed weather stations[J]. Earth Sys-tem Science Data，2024，10.5194/essd-2024-195.
[10] Chen Y L，Duan X，Ding M H，et al. New gridded dataset of rainfall erosivity（1950—2020） on the Tibetan Plateau[J]. Earth System Science Data，2022，14（6）:2681-2695.
[11] Li X H，Ye X C. Variability of rainfall erosivity and erosivity density in the Ganjiang River Catchment，China:characteristics and influences of climate change [J]. Atmosphere，2018，9（2）:48.
[12] 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. Zhang W B，Xie Y，Liu B Y. Rainfall erosivity estimation using daily rainfall amounts[J]. Scientia Geographica Sinica，2002，22（6）:705-711.
[13] 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.
[14] Hernando D，Romana M G. Estimating the rainfall erosivity factor from monthly precipitation data in the Madrid Region（Spain）[J]. Journal of Hydrology and Hydromechanics，2015，63（1）:55-62.
[15] Alves G J，Mello C R，Guo L，et al. Natural disaster in the mountainous region of Rio de Janeiro state，Brazil:assessment of the daily rainfall erosivity as an early warning index[J]. International Soil and Water Conservation Research，2022，10（4）:547-556.
[16] Zhu Q G Z，Yang X H，Yu B F，et al. Estimation of event-based rainfall erosivity from radar after wildfire[J]. Land Degradation & Development，2019，30（1）:33-48.
[17] Richardson C W，Foster G R，Wright D A. Estimation of erosion index from daily rainfall amount[J]. Transactions of the Asae，1983，26（1）:153-156.
[18] Yu B，Rosewell C J. An assessment of a daily rainfall erosivity model for New South Wales[J]. Australian Journal of Soil Research，1996，34（1）:139-152.
[19] Yin S Q，Nearing M A，Borrelli P，et al. Rainfall erosivity:an overview of methodologies and applications [J]. Vadose Zone Journal，2017，16（12）:1-16.
[20] Guan Y H，Zheng F L，Zhang X C，et al. Trends and variability of daily precipitation and extremes during 1960—2012 in the Yangtze River Basin，China[J]. International Journal of Climatology，2017，37（3）:1282-1298.
[21] 黄旭华，王永文，李喻鑫.江西省锦江流域降水变化特征研究[J].中国农村水利水电，2020（1）:100-105. Huang X H，Wang Y W，Li Y X. Research on the precipitation variation characteristics of Jinjiang River Basin in Jiangxi Province[J]. China Rural Water and Hydropower，2020（1）:100-105.
[22] Xie Y，Yin S Q，Liu B Y，et al. Models for estimating daily rainfall erosivity in China[J]. Journal of Hydrology，2016，535:547-558.
[23] 国家质量监督检验检疫总局，中国国家标准化管理委员会.降水量等级[S].北京:中国标准出版社，GB/T 28592—2012，2012. General Administration of Quality Supervision，Inspection and Quarantine of the People′s Republic of China，National Standardization Administration of the People′s Republic of China. Grade of precipitation[S]. Beijing:Standards Press of China，GB/T 28592—2012，2012.
相似文献/References:
[1]胡续礼,姜小三,杨树江,等.利用日雨量模型进行伏牛山区降雨侵蚀力的初步研究[J].水土保持研究,2006,13(03):195.
HU Xu-li,JIANG Xiao-san,YANG Shu-jiang,et al.Study on Rainfall Erosivity in Funiu Mountainous Region Using Daily Rainfall Amounts Models[J].Research of Soil and Water Conservation,2006,13(03):195.
[2]张革,刘德富,宋林旭,等.香溪河流域降雨侵蚀力特征及简易算法初步研究[J].水土保持研究,2013,20(05):7.
ZHANG Ge,LIU De-fu,SONG Lin-xu,et al.Rainfall Erosivity Characteristics and Simple Estimation Method in Xiangxi River Watershed[J].Research of Soil and Water Conservation,2013,20(03):7.
[3]吴明作,申冲,杨喜田,等.河南省降雨侵蚀力时空变异与不同算法比较研究[J].水土保持研究,2011,18(02):10.
WU Ming-zuo,SHEN Chong,YANG Xi-tian,et al.A Study on Spatial and Temporal Variation of Rainfall Erosivity in He’nan Province and Comparison of Its Calculation Methods[J].Research of Soil and Water Conservation,2011,18(03):10.
[4]辜世贤,王小丹,刘淑珍.西藏高原东部横断山区降雨侵蚀力初步研究[J].水土保持研究,2011,18(03):28.
GU Shi-xian,WANG Xiao-dan,LIU Shu-zhen.The Preliminary Research on Rainfall Erosivity Based on Simple Estimation Method in the Hengduan Mountainous Region of the Eastern Tibet[J].Research of Soil and Water Conservation,2011,18(03):28.
[5]张坤,丁新新,洪伟,等.BP神经网络在降雨侵蚀力预测预报中的应用研究[J].水土保持研究,2009,16(01):43.
ZHANG Kun,DING Xin-xin,HONG Wei,et al.Application of Prediction for Rainfall Erosivity Based on BP Neural Network[J].Research of Soil and Water Conservation,2009,16(03):43.
[6]贾莲莲,高海东,樊冰,等.中国北方风蚀水蚀侵蚀动力时空分布特征[J].水土保持研究,2017,24(03):19.
JIA Lianlian,GAO Haidong,FAN Bing,et al.Spatiotemporal Characteristics of Water-Wind Erosion Dynamics Over Northern China[J].Research of Soil and Water Conservation,2017,24(03):19.
[7]柴雪柯,高鹏,蒋观滔,等.渭河流域降雨侵蚀力时空变化研究[J].水土保持研究,2016,23(03):25.
CHAI Xueke,GAO Peng,JIANG Guantao,et al.Spatiotemporal Variability of Rainfall Erosivity in Weihe River Basin[J].Research of Soil and Water Conservation,2016,23(03):25.
[8]温天福,张范平,胡建民,等.1958-2014年赣江流域降雨侵蚀力时空变化特征[J].水土保持研究,2020,27(01):7.
WEN Tianfu,ZHANG Fanping,HU Jianmin,et al.Spatiotemporal Variation of Rainfall Erosivity During the Period 1958-2014 in Ganjiang River Basin[J].Research of Soil and Water Conservation,2020,27(03):7.
[9]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(01):92.
FAN Jian-rong,YAN Dong,GUO Xiang.Spatial and Temporal Distribution of Rainfall Erosivity Based on GIS in the Upper Yangtze River Basin[J].Research of Soil and Water Conservation,2010,17(03):92.
[10]马良,左长清,孙勐,等.山东省降雨侵蚀力空间分布特征及简易方程的研究[J].水土保持研究,2010,17(02):28.
MA Liang,ZUO Chang-qing,SUN Meng,et al.Spatial Characteristics and Simplified Empirical Models of Annual Rainfall Erosivity in Shandong Province[J].Research of Soil and Water Conservation,2010,17(03):28.
备注/Memo
收稿日期：2024-05-26 修回日期：2024-08-16 接受日期：2024-08-27
资助项目：国家自然科学基金项目“植被结构影响下的坡面流挟沙力动力机制研究”（52279056）
第一作者：贺元（1998—），女，山东烟台人，硕士，主要从事侵蚀动力过程研究。E-mail：doublehy1998@163.com
通信作者：张会兰（1984—），女，河北保定人，博士，教授，主要从事水文与水沙动力过程研究。E-mail：zhanghl@bjfu.edu.cn