喻家山土壤含水率对次降雨事件的响应及影响因素

孙蓉琳; 王梦迪; 陈阳; 马倩芳

doi:10.19509/j.cnki.dzkq.tb20230104

喻家山土壤含水率对次降雨事件的响应及影响因素

doi: 10.19509/j.cnki.dzkq.tb20230104

中国地质大学(武汉)环境学院, 武汉 430078

基金项目:

国家自然科学基金项目 42172286

精密重力测量研究设施国家重大科技基础设施 PGMF

详细信息

作者简介:
孙蓉琳(1979—), 女, 副教授, 主要从事水文地质参数反演和水流系统研究工作。E-mail: sunronglin@cug.edu.cn

中图分类号: S152.7
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- 文章访问数: 465
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- 被引次数: 0
出版历程
- 收稿日期: 2023-03-01
- 录用日期: 2023-07-13
- 修回日期: 2023-07-05

Responses of soil moisture content to rainfall events and its influencing factors at Yujia Mountain

School of Environmental Studies, China University of Geosciences(Wuhan), Wuhan 430078, China

摘要

摘要:
研究武汉市喻家山试验区次降雨事件下土壤含水率的响应特征和影响因素, 为后续包气带和饱水带地下水储量变化研究提供科学依据。基于野外降雨、地下水位和土壤含水率的连续监测数据, 分析4个典型剖面土壤含水率的动态变化及其对6次降雨事件的响应特征; 以S4剖面为例采用灰色关联度法分析影响土壤含水率响应幅度的主导因子。结果表明: 相对于喻家山山体较高位置, 南坡和北坡坡脚的地形高程低, 地下水位埋深小, 土壤颗粒细, 分选好, 土壤剖面的含水率平均值较大, 变异系数较小; 4个剖面的土壤含水率大小和初始响应时间随埋深增加并不是系统地增加, 反映研究区土壤剖面非均质性较强; 平均降雨强度和最大降雨强度与含水率响应幅度间的关联度最大, 是控制试验区含水率响应的主导因子。位于喻家山南坡坡脚实验大楼内的2个土壤剖面受人类建筑活动、周围绿化和浇水影响较大, 后期应结合长期监测资料综合分析土壤含水率的响应特征和主控因素。
- 次降雨事件 /
- 土壤含水率 /
- 灰色关联度法 /
- 降雨强度 /
- 主导因子
Abstract: Objective
The response characteristics and influencing factors of soil moisture content under individual rainfall events at the test site of Yujia Mountain in Wuhan, China, were studied to provide a scientific basis for subsequent studies on groundwater storage changes in the unsaturated and saturated zones.
Methods
Based on the continuous field monitoring data of rainfall, groundwater level and soil moisture content, the dynamic changes in soil moisture content in four typical profiles and their response characteristics to six rainfall events were analysed. Taking the S4 profile as an example, the dominant factors of the response amplitude of soil moisture content were identified using the grey correlation method.
Results
Compared with the higher position of Yujia Mountain, the foot of the southern and northern slopes is lower, with a shallow water table, fine soil particles, and good sorting. As a result, the mean value of the soil moisture content was larger, and the coefficient of variation was smaller. The soil moisture content and initial response time of the four profiles did not increase systematically with increasing burial depth, reflecting the strong heterogeneity of the soil profiles in the study area. The correlation analysis between the response amplitude of soil moisture content and the four influencing factors showed that the average and maximum rainfall intensities were the dominant factors.
Conclusion
The two soil profiles located in the experimental building at the foot of the southern slope are strongly affected by human construction activities, surrounding greening and watering. The response characteristics and main influencing factors of soil moisture content should be comprehensively analysed based on long-term monitoring data in the future.
- rainfall events /
- soil moisture content /
- grey correlation method /
- rainfall intensity /
- dominant factor
注释:

(所有作者声明不存在利益冲突)

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图 1 研究区地形和监测仪器布设图

Figure 1. Map showing topography and layout of monitoring instruments of the study area

下载: 全尺寸图片幻灯片

图 2 降雨量和地下水位埋深动态变化图

Figure 2. Dynamics of rainfall and depth to groundwater

下载: 全尺寸图片幻灯片

图 3 4个剖面不同深度土壤含水率初始响应时间变化特征

Figure 3. Variation characteristics of the initial response time of soil moisture content at different depths in the four soil profiles

下载: 全尺寸图片幻灯片

图 4 S4剖面土壤含水率的动态变化曲线

Figure 4. Dynamic curve of soil moisture content in the S4 profile

下载: 全尺寸图片幻灯片

图 5 S4剖面土壤含水率对不同等级降雨事件的响应曲线

Figure 5. Response curve of soil moisture content in the S4 profile to different levels of rainfall events

下载: 全尺寸图片幻灯片

表 1 所选6次降雨事件的降雨特征

Table 1. Characteristics of the six selected rainfall events

降雨事件	开始时间	总降雨量/mm	降雨持续时间/h	平均降雨强度/(mm·h^-1)	最大降雨强度/(mm·h^-1)	等级(24 h降雨量)/mm
1	2022/01/04	26.4	12	2.2	6.2	大雨(25~50)
2	2022/03/16	68.8	15	4.6	19.4	暴雨(>50)
3	2022/03/24	102.0	23	4.4	11.2	暴雨(>50)
4	2022/03/30	16.8	10	1.7	4.8	中雨(10~25)
5	2022/04/25	45.8	8	5.7	17.6	大雨(25~50)
6	2022/04/28	16.6	6	2.8	5.8	中雨(10~25)

下载: 导出CSV

表 2 不同埋深土壤含水率平均值和变异系数

Table 2. Mean values and coefficient of variation of soil moisture content at different depths

深度/cm	平均值/%				变异系数C_V/%
深度/cm	S1剖面	S2剖面	S3剖面	S4剖面	S1剖面	S2剖面	S3剖面	S4剖面
30	32.3	28.3	14.6	29.4	12.3	2.8	13.1	7.6
50	28.6	37.8	18.2	33.2	5.1	6.9	23.3	12.2
70	32.6	38.8	23.2	32.8	18.7	3.5	17.3	9.6
90	32.3	32.0	16.5	39.8	2.9	4.1	22.4	9.7
110	40.1	30.9	22.7	28.7	8.7	12.6	15.4	6.9
130	40.1	30.0	26.0	36.1	11.5	6.4	24.0	14.8

下载: 导出CSV

表 3 S4剖面灰色关联度计算结果

Table 3. Calculated grey correlation degree for the S4 profile

埋深/cm	降雨量 X₁	平均降雨强度X₂	最大降雨强度X₃	土壤前期湿润情况X₄
30	0.600	0.865	0.751	0.745
50	0.622	0.899	0.827	0.695
70	0.632	0.767	0.752	0.433
90	0.623	0.736	0.765	0.515
110	0.591	0.683	0.638	0.567
130	0.769	0.743	0.776	0.708

下载: 导出CSV

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