Method to measure soil matrix infiltration in forest soil

Zhang, Jing; Lei, Tingwu; Qu, Liqin; Chen, Ping; Gao, Xiaosheng; Chen, Chao; Yuan, Lili; Zhang, Manliang; Su, Guangxu

doi:10.1016/j.jhydrol.2017.06.032

Cited by 48 publications

(14 citation statements)

References 42 publications

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“…The research of soil moisture infiltration has been developed so far, and many soil infiltration measurement methods have been produced in experiments. In the early stage, it can be divided into field test and indoor measurement, including water injection method, double loop method, single loop method, artificial rainfall method, hydrology method and time domain reflectometer (TDR) method [20][21]. Due to the different principles and operating methods of different infiltration methods, the measurement results and their accuracy are often different.…”

Section: Soil Moisture Infiltration Test Methodsmentioning

confidence: 99%

Research Progress of Soil Water Infiltration

et al. 2020

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Soil water is an important link in the transformation of the “five waters”, which determines the growth and production of crops. Mastering the scientific infiltration law is a key link to promote agricultural development. Based on the existing research results, this paper systematically summarizes the basic theories, test methods, influencing factors, simulation equations, prediction models and other results of soil water infiltration research at home and abroad so far, and discusses the future research development direction.

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Section: Soil Moisture Infiltration Test Methodsmentioning

confidence: 99%

Research Progress of Soil Water Infiltration

et al. 2020

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“…Water flow in soil matrix is important for redistributing the precipitation input and enhancing water storage in soils in arid and semi-arid areas (Wu et al 2017 ). Water flow in soil matrix is controlled by the soil matrix capillary actions and is addressed with Philips sorptivity concept (Zhang et al 2017a ). Quantifying water flow in soil matrix is highly important in partitioning water infiltrating through the soil matrix.…”

Section: Hydrological Connectivity At Multiscales and Its Effects On Ecohydrologymentioning

confidence: 99%

The concept, approach, and future research of hydrological connectivity and its assessment at multiscales

Zhang

Huang

Zhang

et al. 2021

Environ Sci Pollut Res

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In this review, we explore the concept, approach, and future research of hydrological connectivity and its assessment at multiscales, because according to the literature, an integrated review upon hydrological connectivity is lack. Systematic studies illustrate the effects of (i) human activities (i.e., dam construction, groundwater extraction, water flow regulation and diversion, and land management) and (ii) natural factors (i.e., climate, soil characteristics, vegetation, and topography) on hydrological connectivity. Approaches (i.e., soil water content patterns, runoff patterns and processes, numerical models, and index of hydrological connectivity) applied to evaluate hydrological connectivity are examined in detail. Lastly, hydrological connectivity at multiscales is indicated. This review concludes with a discussion of potential research trends that can improve understanding of hydrological connectivity. Reported records showed that few studies were published on hydrological connectivity from 1980 to 2003, whereas the evolution of these studies is temporally promising since 2003. We cannot define a standard concept of hydrological connectivity that works in all environments. We desire to show different concepts of hydrological connectivity in different environments. The degree and nature of hydrological connectivity are not static due to the influences of human activities and changes of natural factors. The index of hydrological connectivity and numerical models are the most significant approaches to assess the changes in hydrological connectivity. This study showed that considering hydrological connectivity in social-economical-ecological-hydrological frameworks can prevent its negative effects on surface or subsurface water quantity and quality and is beneficial for sound water sources management.

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“…Con los datos de campo se calculó la velocidad de infiltración (Zhang et al, 2017; Yáñez-Díaz et al, 2019) mediante la ecuación: La infiltración acumulada (Fa) se determinó mediante la suma total de los volúmenes de agua infiltrada, considerada como la integral de la velocidad de infiltración en esos periodos:…”

Section: Velocidad De Infiltraciónunclassified

Ajuste de modelos empíricos de infiltración en un Umbrisol bajo diferentes tratamientos silvícolas

Robles

Silva

Díaz

et al. 2020

RMCF

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La presente investigación tuvo como objetivo modelar el proceso de infiltración a partir de los resultados de mediciones in situ en diferentes rodales silvícolas en un suelo Umbrisol, localizados en el ejido La Ciudad, Pueblo Nuevo, Durango, México. La infiltración se realizó mediante el método del infiltrómetro de doble anillo, por un tiempo de 270 minutos con recargas variables. Se analizaron rodales silvícolas después de las cortas de regeneración (Árboles Padre, Matarrasa y Selección) y se compararon con un área regenerada (posincendio) y un rodal de Referencia (testigo). Se hizo el ajuste de los datos de 15 pruebas de infiltración a los modelos Kostiakov, Horton y Lewis-Kostiakov. Los resultados mostraron un decremento medio de 45 % en la infiltración inicial (Fi), respecto al rodal de Referencia, la infiltración básica (Fb) incrementos ligeros en Árboles Padre y Selección; mientras que Matarrasa y Posincendio presentaron reducciones de 28 y 23 %, respectivamente. En relación con la infiltración acumulada (Fa), solamente, el tratamiento de Árboles Padre registró 4.7 % por arriba del rodal de Referencia. El análisis de varianza evidenció diferencias significativas para Fi; la prueba de las demostró para Fb y Fa. Los ajustes de los modelos, basados en el coeficiente de determinación (R2), mostraron que el de Lewis-Kostiakov estima mejor la infiltración para las áreas de Selección y Referencia, la cual es menos afectada en comparación con los rodales de Árboles Padre, Matarrasa y posincendio forestal, los que fueron mejor descritos por el modelo tipo Kostiakov.

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Method to measure soil matrix infiltration in forest soil

Cited by 48 publications

References 42 publications

Research Progress of Soil Water Infiltration

Research Progress of Soil Water Infiltration

The concept, approach, and future research of hydrological connectivity and its assessment at multiscales

Ajuste de modelos empíricos de infiltración en un Umbrisol bajo diferentes tratamientos silvícolas

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