Next Article in Journal
Development of an Integrated Approach for the Assessment of Climate Change Impacts on the Hydro-Meteorological Characteristics of the Mahaweli River Basin, Sri Lanka
Next Article in Special Issue
Development and Verification of the Available Number of Water Intake Days in Ungauged Local Water Source Using the SWAT Model and Flow Recession Curves
Previous Article in Journal
Unsupervised Machine Learning and Data Mining Procedures Reveal Short Term, Climate Driven Patterns Linking Physico-Chemical Features and Zooplankton Diversity in Small Ponds
Previous Article in Special Issue
Adsorption Performance of Modified Fly Ash for Copper Ion Removal from Aqueous Solution
Article

Simulation of Soil Water Dynamics in a Black Locust Plantation on the Loess Plateau, Western Shanxi Province, China

by 1, 1,2,3, 1,2, 1 and 1,2,3,*
1
College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2
Jixian National Forest Ecosystem Research Network Station, CNERN, Beijing Forestry University, Beijing 100083, China
3
Key Laboratory of Soil and Water Conservation & Desertification Combating, State Forestry and Grassland Administration, Beijing Forestry University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Academic Editor: José María Senciales-González
Water 2021, 13(9), 1213; https://doi.org/10.3390/w13091213
Received: 25 February 2021 / Revised: 9 April 2021 / Accepted: 19 April 2021 / Published: 28 April 2021
(This article belongs to the Special Issue River Basin Management and River Evolution Research)
Soil moisture plays an important role in vegetation restoration and ecosystem rehabilitation in fragile regions. Therefore, understanding the soil water dynamics and water budget in soil is a key target for vegetation restoration and watershed management. In this study, to quantitatively estimate the water budget of the GFGP forests in a dry year and a wet year and to explore the recharge in deep profiles, the vertical and temporal soil moisture variations in a black locust (Robinia pseudoacacia) plantation were simulated under typical rainfall events and two-year cycles in a loess area between April 2014 and March 2016. We calibrated and tested the HYDRUS-1D (Salinity Laboratory of the USDA, California, USA) model using the data collected during in situ field observations. The model’s performance was satisfactory, the R2, Nash efficiency coefficient (NSE), root mean square error (RMSE), and mean absolute error (MAE) were 0.82, 0.80, 0.021, and 0.030, respectively. For the four rainfall events of 9.1 mm, 25 mm, 71.1 mm, and 123.6 mm, the infiltration amounts were 8.1 mm, 19.3 mm, 65.2 mm, and 95.3 mm, respectively. Moreover, the maximum infiltration depths were 30 cm, 100 cm, 160 cm, and >200 cm, respectively. Additionally, in the two-year model cycles, the upward average water flux was 1.4 mm/d and the downward water flux was 1.69 mm/d in the first-year cycle; the upward average annual water flux was 1.0 mm/d and the downward water flux was 1.1 mm/d in the second-year cycle. The annual water consumption amounts in the two-year cycles were 524.6 mm and 374.2 mm, and the annual replenishment amounts were 616.8 mm and 401 mm. The amounts of percolation that recharged the deep soil were only 28.1 mm and 2.04 mm. A lower annual rainfall would cause a water deficit in the deep soil, which was not conducive to the growth of Robinia pseudoacacia vegetation. To ensure the high-quality sustainable development of the forest land, it is suggested to adjust the stand density in a timely manner and to implement horizontal terraces to increase the infiltration and supply of precipitation. Our study provides an improved understanding of the soil water movement in Robinia pseudoacacia plantations and a simulated temporal moisture variation under different time scales. The results of our study provide a feasible approach for the sustainable management of Robinia pseudoacacia plantations during vegetation restoration. View Full-Text
Keywords: Loess Plateau; soil water movement; HYDRUS-1D simulation; Grain-for-Green Project; black locust forests Loess Plateau; soil water movement; HYDRUS-1D simulation; Grain-for-Green Project; black locust forests
Show Figures

Figure 1

MDPI and ACS Style

Li, Y.; Yu, Y.; Sun, R.; Shen, M.; Zhang, J. Simulation of Soil Water Dynamics in a Black Locust Plantation on the Loess Plateau, Western Shanxi Province, China. Water 2021, 13, 1213. https://doi.org/10.3390/w13091213

AMA Style

Li Y, Yu Y, Sun R, Shen M, Zhang J. Simulation of Soil Water Dynamics in a Black Locust Plantation on the Loess Plateau, Western Shanxi Province, China. Water. 2021; 13(9):1213. https://doi.org/10.3390/w13091213

Chicago/Turabian Style

Li, Yuting; Yu, Yang; Sun, Ruoxiu; Shen, Mingshuang; Zhang, Jianjun. 2021. "Simulation of Soil Water Dynamics in a Black Locust Plantation on the Loess Plateau, Western Shanxi Province, China" Water 13, no. 9: 1213. https://doi.org/10.3390/w13091213

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop