[1]罗梦琦,刘霞,郭红丽,等.江苏省水土流失动态监测降雨侵蚀力因子站点密度优化研究[J].江苏水利,2024,(03):7-11.
 LUO Mengqi,LIU Xia,GUO Hongli,et al.Study on optimization of site density of rainfall erosivity factor for dynamic monitoring of soil erosion in Jiangsu Province[J].JIANGSU WATER RESOURCES,2024,(03):7-11.
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江苏省水土流失动态监测降雨侵蚀力因子站点密度优化研究()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年03期
页码:
7-11
栏目:
农村水利
出版日期:
2024-03-15

文章信息/Info

Title:
Study on optimization of site density of rainfall erosivity factor for dynamic monitoring of soil erosion in Jiangsu Province
文章编号:
1007-7839(2024)03-0007-0005
作者:
罗梦琦1刘霞3郭红丽2蒋丹丹1吴芳2姚露露2
(1. 江苏省水利工程科技咨询股份有限公司,江苏 南京 210029;2. 江苏省水文水资源勘测局,江苏 南京 210029;3. 南京林业大学 水土保持学院,江苏 南京 210037)
Author(s):
LUO Mengqi1 LIU Xia3 GUO Hongli2 JIANG Dandan1 WU Fang2 YAO Lulu2
(1. Jiangsu Water Conservancy Engineering Technology Consulting Co., Ltd., Nanjing 210029, China;2. Jiangsu Province Hydrology and Water Resources Investigation Bureau, Nanjing 210029, China;3. School of Soil and Water Conservation, Nanjing Forestry University, Nanjing 210037, China)
关键词:
降雨侵蚀力站点密度动态监测水土流失江苏省
Keywords:
rainfall erosivity site density dynamic monitoring soil erosion Jiangsu Province
分类号:
S157
文献标志码:
B
摘要:
为进一步提高水土流失动态监测精度,基于江苏省水土流失动态监测现设的74个站点和江苏省水文站网399个降雨监测站点的降雨参数计算降雨侵蚀力,采用克里金插值法获取其空间分布特征,并通过分层抽样、误差对比等方法分析不同站点密度对降雨侵蚀力计算结果的影响,进而探讨研究区的最优站点密度。结果表明:①基于现用水土流失动态监测站点数据计算的降雨侵蚀力(R动)与基于全省总站点数据计算的降雨侵蚀力(R真)在空间分布上大体一致,总体呈从南到北的递减趋势,主要在极值区域存在较大差异;②随着站点密度增加,R动与R真的结果差异减小,降雨侵蚀力计算精度增加,在站点数从200增加为300时,差异显著减小;③基于优化站点(287个)计算的降雨侵蚀力(R287)与基于全省总站点数据计算的降雨侵蚀力(R真)的空间分布趋势基本一致,差异较小。根据研究区降雨量数理特征,采用样本量公式计算得到最优站点数量为287个。
Abstract:
In order to further improve the dynamic monitoring accuracy of soil erosion,the rainfall erosivity was calculated based on the rainfall parameters of 74 existing sites of dynamic monitoring in Jiangsu Province and 399 monitoring stations in Jiangsu hydrology network, kriging interpolation method was used to obtain its spatial distribution characteristics, the influence of different site densities of rainfall erosivity was analyzed by the methods of stratified sampling and error comparison, then the optimal site density in the study area is discussed. The result shows that:①Rainfall erosivity calculated based on the data of current soil erosion dynamic monitoring station(Rdynamic) and rainfall erosivity calculated based on total site data of the whole province(Rreal), their spatial distributions are generally consistent, there is a decreasing trend from south to north, and there are great differences mainly in the extreme value region.②As site density increases, the difference between Rdynamic and Rreal decreases, the computational accuracy of rainfall erosivity increases, and the difference decreases significantly when the number of stations increases from 200 to 300.③ The spatial distribution trend of rainfall erosivity calculated based on the(287) optimized sites(R287) is basically the same as that of rainfall erosivity calculated based on the total sites of the whole province(Rreal), with little difference. According to the mathematical characteristics of rainfall in the study area, the optimal number of stations is calculated as 287 by using the sample size formula.

参考文献/References:

[1]邓攀攀,秦蓓蕾,都利亚. 广东省1960—2018年间降雨侵蚀力时空变化特征分析[J]. 人民珠江,2022,43(12):61-66.
[2]赵子萌,曹永强,常志冬,等. 黄河沿线9省区水土资源生态承载力耦合协调分析[J]. 水资源保护,2023,39(6):121-129.
[3]刘宝元,郭索彦,李智广,等. 中国水力侵蚀抽样调查[J]. 中国水土保持,2013(10):26-34.
[4]王万中,焦菊英,郝小品,等. 中国降雨侵蚀力R值的计算与分布(Ⅰ)[J]. 水土保持学报,1995(4):5-18.
[5]RENARD K G,FOSTER G R,WEESIES G A,et al. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation(RUSLE)[J]. Agricultural Handbook,1997.
[6]吴素业. 安徽大别山区降雨侵蚀力指标的研究[J]. 中国水土保持,1992(2):36-37.
[7]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(1):35-41.
[8]李璐. 江苏省降雨侵蚀力研究[D]. 南京:南京农业大学,2011.
[9]杨韶洋,刘霞,姚孝友,等. 沂蒙山区降雨侵蚀力空间分布推算方法[J]. 中国水土保持科学,2015,13(2):1-10.
[10] 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(1):33-40.

相似文献/References:

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备注/Memo

备注/Memo:
收稿日期:2023-12-14
基金项目:江苏省水利科技项目(2022045)
作者简介:罗梦琦(1996—),女,硕士,研究方向为水土保持监测、信息化监管等。E-mail:975079422@qq.com
更新日期/Last Update: 2024-03-15