In-situ infiltration-runoff characterization of slopes under the influences of different rainfall patterns and slope gradients

IF 5.4 1区农林科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Catena Pub Date : 2024-11-05 DOI:10.1016/j.catena.2024.108519

Ruimin Chen , Hongqiang Dou , Yunzhao Lin , Qingling Liu , Wenbin Jian

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引用次数: 0

Abstract

The infiltration-runoff process plays a crucial role in hydrological studies. The influences of rainfall patterns and slope gradients on the infiltration-runoff process are not yet fully understood, particularly under field conditions. In-situ monitoring and experiments were conducted to investigate the effects of a uniform rainfall pattern (UR, q = 17.5 mm h⁻¹ and q = 35 mm h⁻¹), the Chicago rainfall pattern (CR), and different slopes (β = 5° and 25°) on the infiltration, runoff, and sediment yield. The CR pattern is a mathematical model used to simulate natural rainfall based on historical rainfall data for a specific region. The results show that the response times of both the volumetric water content (VWC) and matric suction are directly proportional to depth, whereas their magnitudes are inversely proportional. The soil water characteristic curve (SWCC) obtained using the van Genuchten (vG) model can be established based on monitoring data for the drying path. The rainwater transformation is altered by the CR pattern, prolonging the initial runoff time and reducing rainfall infiltration. The infiltration and runoff rate curves, which mirror the rainfall pattern, exhibit peak values that increase both the cumulative runoff and sediment yield. The runoff rate, shear stress, and hydraulic power are significantly increased by increasing the slope angle. This positively contributes to the runoff and sediment yield and reduces the rainfall infiltration. The soil water profile during infiltration can be qualitatively divided into three stages. A time correction parameter, which is highly related to the initial runoff time, is incorporated into the Kostiakov model to more precisely predict the infiltration process. This paper presents a novel approach for applying the CR pattern to hillslope hydrology. Our findings improve the understanding of the effects of rainfall patterns and gradients on rainwater transformation and sediment yield and provide a scientific reference for hydrological modelling.

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不同降雨模式和坡度影响下的斜坡原位渗透-径流特征描述

渗透-径流过程在水文研究中起着至关重要的作用。降雨模式和坡度对入渗-径流过程的影响尚未得到充分了解，尤其是在实地条件下。我们通过现场监测和实验研究了均匀降雨模式（UR，q = 17.5 mm h-1 和 q = 35 mm h-1）、芝加哥降雨模式（CR）和不同坡度（β = 5° 和 25°）对入渗、径流和泥沙产量的影响。芝加哥降雨模式是一种数学模型，用于根据特定地区的历史降雨数据模拟自然降雨。结果表明，体积含水量（VWC）和母吸力的响应时间与深度成正比，而它们的大小成反比。使用 van Genuchten（vG）模型得到的土壤水分特征曲线（SWCC）可以根据干燥路径的监测数据确定。CR 模式改变了雨水转化，延长了初始径流时间，降低了降雨入渗率。反映降雨模式的下渗和径流速率曲线显示出峰值，增加了累积径流量和泥沙产量。增加坡角可显著提高径流量、剪应力和水力。这对径流量和泥沙量都有积极影响，并降低了降雨的渗透率。渗透过程中的土壤水剖面可定性地分为三个阶段。在 Kostiakov 模型中加入了与初始径流时间高度相关的时间校正参数，以更精确地预测渗透过程。本文提出了一种将 CR 模式应用于山坡水文的新方法。我们的研究结果加深了人们对降雨模式和梯度对雨水转化和泥沙产量影响的理解，为水文建模提供了科学参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Catena 环境科学-地球科学综合

CiteScore

10.50

自引率

9.70%

发文量

816

审稿时长

54 days

期刊介绍： Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment. Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.