Effect of soil-rock structures on the characteristics of rainfall-runoff responses in epikarst zones
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摘要: 碳酸盐岩在溶蚀作用下形成的表层岩溶带，其上层土壤特性和厚度以及下覆裂隙大小和分布控制降雨入渗、蒸散发和地下径流过程。而不同土岩结构对水文过程的影响尚不明晰。文章构建3种典型土岩结构（薄层石灰土—石灰岩块型、薄层石灰土—白云岩碎石型、厚层土壤—石灰岩碎石型）土柱试验装置并进行观测，通过对比分析，揭示不同土岩结构的产流能力和径流响应特征的差异。结果表明：土岩结构对水平衡有显著影响。厚层土壤（85 cm）极大增加了蒸发量，其产流能力较小，表现为形成地下径流所需的降雨阈值大和形成的径流总量小。相比之下，薄层土壤（20 cm）具有较大的产流能力。当薄层土壤下覆为白云岩碎石时，相比于下覆为石灰岩岩块，碎石表面滞留水分能力较强，导致蒸发损失增加和径流量减少。此外，土岩结构还显著影响降雨—径流响应特征：对于厚层土壤，其对径流的调蓄能力强，洪峰流量显著减小，初始径流和洪峰流量的响应时间延长，但这种延长的幅度随着降雨事件的雨量和强度的增加而减小；对于薄层土壤，其对径流的调蓄能力较弱，其中对于下覆石灰岩岩块结构，裂隙率低、导水性强，在小降雨下容易入渗并形成较大的洪峰；而下覆白云岩碎石结构储水能力较大，在大降雨下，有利于入渗水积蓄，从而形成较大的洪峰。Abstract:
This study was conducted at the Puding Karst Ecosystem Research Station, Chinese Academy of Sciences. Three square columns were set up in the experiment to simulate different soil-rock structures. Each column has a cross-sectional area of 1 square meter and a height of 2 meters. The station is located in a warm, humid mid-subtropical monsoon climate zone, with an average annual rainfall of 1,315 mm and an average annual temperature of 15.1 ℃. The soil-rock structures in this area are diverse, mainly comprising limestone, dolomite, and associated soils. This study aims to reveal the impact of complex soil-rock structures on hydrological processes in the karst areas of Southwest China. In this study, physical models of three typical soil-rock structures (Column a: thin limestone soil over limestone blocks; Column b: thin limestone soil over dolomite gravel; Column c: thick soil over limestone gravel) were constructed, the underground runoff processes formed by natural rainfall were observed, and the water balance and runoff response characteristics under different soil-rock structures were compared. The research findings provide scientific insights into better understanding of the transformation and effective utilization of water resources in karst areas. Three square columns were used as experimental devices in this study to simulate different types of soil-rock structures (combinations of limestone, dolomite, overlying lime soil, and yellow soil). During natural rainfall events, evaporation and runoff of the soil columns with different soil-rock structures were compared and analyzed. Various methods of statistical analysis were employed to quantitatively assess the impact of these structures, revealing the hydrological processes of the complex soil-rock structures in epikarst zones. The main results are as follows. (1) Water Balance: As soil thickness increased (20 cm, 23 cm, 85 cm), evaporation increased and runoff decreased. Dolomite gravel (Column b) retained more water than limestone blocks (Column a), leading to higher evaporation and lower runoff. Seasonal runoff variability was significant in areas covered with thinner soil, in which flood and drought are prone to occur. (2) Rainfall-Runoff Relationship: Linear regression revealed a threshold-linear two-stage pattern. Runoff started after reaching a threshold, becoming linear beyond that. The increase of soil thickness raised the rainfall threshold for runoff formation. Column a had the highest runoff efficiency, while Column c had the lowest. The specific surface area of the gravel in Column b is larger, so its evaporation is twice as much as that of Column a, and the regression slope is lower. (3) Impact of Rainfall Patterns: Small-event rainfall (Patterns B and D) caused higher peaks in Column a, while large-event rainfall (Patterns A and C) caused higher peaks in Column b. Thicker soil in Column c delayed initial runoff and peak flow, especially in small events. Additionally, the initial runoff response time of soil-rock structures with thin soil layers depends on the rainfall process, while the initial runoff response time of soil-rock structures with thick soil layers is negatively correlated with soil moisture content. This study reveals the significant impact of different soil-rock structures on hydrological processes in the karst areas of Southwest China. The physical properties of soil-rock structures (e.g., soil thickness and characteristics of underlying rocks) not only affect the water balance but also determine the rainfall-runoff relationship and runoff characteristics under different rainfall patterns. Firstly, the soil layer thickness is a key factor influencing water balance and underground runoff response. Thicker soil can significantly delay the response time of underground runoff, reduce peak flow, and increase the rainfall threshold required for runoff generation. Additionally, the physical properties of rock fractures affect the water balance, with dolomite gravel under the soil having a higher water retention capacity than limestone blocks, leading to higher evaporation losses and lower runoff. Lastly, the response of water balance and underground runoff to different rainfall patterns varies significantly with soil-rock structures. Low-fracture limestone blocks beneath the soil (fracture porosity of 8%) have high water conductivity, allowing small rainfall to easily infiltrate and form substantial peak flows. In contrast, dolomite gravel beneath the soil, with a higher water storage capacity (fracture porosity of 40%), facilitates the accumulation of infiltrated water during heavy rainfall, leading to larger peak flows. -
Key words:
- karst /
- soil-rock structure /
- subsurface stormflow /
- water balance /
- runoff response characteristics
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图 2 2020年6月21日−10月21日降雨−径流过程
Figure 2. Rainfall-runoff process during 21 June–21 October, 2020
图 3 次降雨及径流响应特征示意图
Figure 3. Schematic diagram of rainfall-runoff response characteristics
图 4 23场自然降雨事件降雨—径流关系
Figure 4. Relationship between rainfall and runoff in 23 natural rainfall events
图 5 不同降雨类型下土岩结构径流特征平均值
Figure 5. Average runoff characteristics of soil-rock structures under four rainfall types
表 1 土柱中土壤质地
Table 1. Soil textures in soil columns
土壤类型 土壤质地 颗粒组成/% 砂粒 粉粒 黏粒 黄壤土 壤土 28.2 45.6 26.2 白云岩上发育石灰土 壤土 36.7 49.1 14.2 石灰岩上发育石灰土 粉壤土 26.1 57.6 16.3 注：砂、粉、黏粒粒径分别为0.05~2 mm、0.002~0.05 mm、<0.002 mm；土壤质地分类按照美国农业部（United States Department of Agriculture, USDA）的土壤质地分类标准进行。
Note: The particle sizes of sand, powder and clay are 0.05–2 mm, 0.002–0.05 mm and <0.002 mm, respectively. Soil textures are classified according to the soil texture classification standards of United States Department of Agriculture.
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表 2 土柱基本结构及特征参数
Table 2. Basic structures and physical properties of soil columns
土柱 分层特征 土壤占比/% 土壤容重/g·cm−3 岩石裂隙率/% 渗透系数(10−3) cm/·s−1 a ① 0~23 cm （石灰岩上发育）石灰土 100 1.34 − 0.815 ② 23~38 cm 石灰土—岩块 20 1.34 − 13.7* ③ 38~83 cm 黄壤土—岩块 20 1.25 − 13.7* ④ 83~133 cm 岩块 − − 8 18.9 ⑤ 133~143 cm 反滤层（碎石） − − 25 4.79 b ① 0~20 cm （白云岩上发育）石灰土 100 1.00 − 3.14 ② 20~150 cm 白云岩（碎石） − − 40 17.8 c ① 0~15 cm （石灰岩上发育）石灰土 100 1.34 − 0.815 ② 15~85 cm 黄壤土 100 1.25 − 0.0221 ③ 85~148 cm 石灰岩（碎石） − − 12.1 21.3 注：*23~83 cm层在注水实验中测出的渗透系数值。
Note: * Permeability coefficient of the layers from 23 cm to 83 cm measured in water injection experiment.
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表 3 次降雨、径流特征及变化范围
Table 3. Characteristics and variation range of rainfall and runoff
统计指标 指标符号 单位 变化范围 次降雨量 $ P $ mm 10.0~69.4 降雨历时 $ T $ h 2~40 降雨强度 $ I $ mmh−1 0.43~8.50 最大1 h雨量 $ {P}_{m} $ mm 0.6~16.8 土壤初始含水率 $ {S}_{w} $ − 0.178~0.365 径流深 $ R $ mm 0.33~67.37 洪峰流量 $ {Q}_{m} $ mm 0.04~9.26 初始径流响应时间 $ {T}_{0} $ h 0.1~18.0 洪峰响应时间 $ {T}_{m} $ h 0.1~25.0
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表 4 不同降雨类型特征指标均值
Table 4. Average value of characteristic indexes under different rainfall types
降雨
类型次降雨量
$ P $/mm降雨历时
$ T $/h降雨强度
$ I $/mmh−11小时最大雨强
$ {P}_{m} $/mmA 34.5 11.8 3.2 10.8 B 15.8 28.0 0.6 2.9 C 52.9 31.0 1.7 12.3 D 16.3 6.3 3.6 8.7
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表 5 水量平衡计算表
Table 5. Annual and rainy season water balance
土柱a 土柱b 土柱c 全年 雨季 全年 雨季 全年 雨季 降雨总量$ P $/mm 1294 850 1294 850 1294 850 径流总量$ R $/mm 1136 817 1016 771 717 499 土壤水蓄量差$ \Delta W $/mm 10.7 10.0 1.2 3.5 −32.0 8.3 实际蒸发量$ E $/mm 146.7 22.6 276.0 75.5 608.4 342.6 径流系数$ R/P $ 0.88 0.96 0.79 0.91 0.55 0.59
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表 6 降雨径流特征统计量Spearman秩相关系数表
Table 6. Spearman correlation coefficient between rainfall and runoff statistical features
次径流深/mm 次洪峰流量/mm 次初始径流响应时间/h 次洪峰响应时间/h $ {R}_{a} $ $ {R}_{b} $ $ {R}_{c} $ $ {Q}_{m,a} $ $ {Q}_{m,b} $ $ {Q}_{m,c} $ $ {T}_{0,a} $ $ {T}_{0,b} $ $ {T}_{0,c} $ $ {T}_{m,a} $ $ {T}_{m,b} $ $ {T}_{m,c} $ $ P $ 0.873** 0.871** 0.817** 0.686** 0.683** 0.684** −0.201 −0.043 −0.115 −0.160 −0.324 −0.615** $ T $ 0.322 0.265 0.194 0.085 −0.009 −0.040 0.530** 0.690** 0.409 0.213 0.325 0.384 $ I $ 0.140 0.186 0.239 0.243 0.396 0.281 −0.676** −0.685** −0.318 −0.302 −0.484* −0.590** $ {P}_{m} $ 0.375 0.516* 0.458* 0.339 0.557* 0.378 −0.523** −0.438** −0.356 −0.334 −0.570* −0.794** $ {S}_{w,a} $ 0.283 0.558* −0.150 −0.137 $ {S}_{w,b} $ 0.118 0.355 0.083 0.072 $ {S}_{w,c} $ 0.247 0.447 −0.626* 0.004 注：**表示在0.01水平（双侧）上显著相关；*表示在0.05水平（双侧）上显著相关。
Note: ** indicates a significant correlation at the level of 0.01 (bilateral); * indicates a significant correlation at the level of 0.05 (bilateral).
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