Jinzhong Yang's research while affiliated with Wuhan University and other places
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Publications (84)
Many algorithms have been proposed to cope with groundwater numerical simulation associated with local grid refinements typically for subsurface flow driven by sources acting on diverse scales. In this context, we focus on establishing an efficient local grid refinement method with nonmatching grids for groundwater flow modelling. The new model is...
Balancing water allocations in river basins between upstream irrigated agriculture and downstream cities, industry and environments is a global challenge. The effects of changing allocations are exemplified in the arid Hetao Irrigation District on the Yellow River, one of China's three largest irrigation districts. Amongst the many challenges there...
Soil salinization is a major eco-environmental problem in irrigated agro-ecosystems. Understanding regional soil salinity spatial patterns and seasonal dynamics and their driving factors under changing environments is beneficial to managing soil salinity to maintain agricultural production in arid agricultural areas. To better investigate this topi...
Machine learning methods provide new perspective for more convenient and efficient prediction of groundwater flow. In this study, a deep learning method “GW-PINN” without labeled data for solving groundwater flow equations with wells was proposed. GW-PINN takes the physics inform neural network (PINN) as the backbone and uses either the hard or sof...
Accurate estimation of the spatial-temporal distribution of phreatic evapotranspiration (ET) is critical for managing water resources and preventing soil salinization in arid and semiarid agricultural areas where substantial water-saving efforts are needed. Traditional phreatic ET estimation approaches either are for small scales or cannot consider...
Irrigated agriculture in arid and semi-arid regions is seriously threatened by water shortage and soil salinization. The well-canal conjunctive irrigation scheme provides a stable groundwater resource for irrigation and can reduce surface salt accumulation by decreasing the groundwater levels, which makes it more suitable to alleviate the problems...
Irrigation plays an important role in agricultural production, especially in arid and semi-arid regions. However, the conflict between water supply and demand will become more serious with increasing population. This study was to evaluate the effects of limited irrigation on regional-scale water movement and salt accumulation processes in agricultu...
Subsurface drainage systems have been widely used to help manage soil salinization worldwide. However, designing a subsurface drainage system requires predictions of regional groundwater and salt dynamics. While these dynamics can be obtained using MODFLOW’s drain package (DRN), this package requires that the drain conductance be specified, which i...
Soil water and salt movement in freezing-thawing periods play an important role in the agricultural ecological environment. Field experiments show a non-synchronized movement of soil water and salt during the freezing-thawing period with no definite mechanism. In this study, the non-synchronization of water and salt movement in the frozen layer (0-...
Soil water in an unsaturated zone is the major source of groundwater recharge, and likewise soil contaminants are the major source of groundwater contamination. It is thus essential to jointly consider soil water movement and solute transport together with groundwater movement and solute transport, which is particularly important when addressing re...
Purpose
Monitoring and evaluating spatiotemporal dynamics of soil salinity over large areas for an extended period is important for keeping crop yield in salt-affected areas, but difficult due to its high variability. In this study, measurements of soil salinity with 68 sampling sites at different depth from top soil to 1.8 m were carried out in 20...
The suitable groundwater exploitation scheme in freezing-thawing agricultural areas under the well-canal conjunctive irrigation conditions is confronted with two major challenges, which are computationally expensive local grid refinements along wells, and the model suitability problem in the freezing-thawing period. In this study, an empirical meth...
Water storage in unsaturated and saturated zones during the crop non-growing season is one of the important supplementary water resources to meet crop water requirements in arid areas with shallow water table depth. It is necessary to analyze utilization of the soil-ground water storage during the crop growing season and its attribution to irrigati...
Soil salinization has become a widespread problem that seriously affects the sustainable development of agriculture. To deal with the salt accumulation and leaching problems in practical agricultural systems, a new soil water and solute transport model adopting the mass balance scheme is developed in this study. The soil water movement module is ba...
Soil environment and water quality face large pressure due to the rapid expansion of greenhouse cultivation in China. However, studies rarely provide the linkage between farmers’ practices and soil degradation in greenhouse cultivation field. In this study, a field survey and sampling of greenhouse cultivation soil were conducted in five regions of...
In arid agricultural areas with shallow water table depth, water exchange between vadose zone and groundwater is intensive during the freezing-thawing period, and thus has a significant impact on crop growth. This study is aimed to develop a one-dimensional model that couples heat and variably saturated water in seasonally freezing-thawing agricult...
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For computationally efficient modeling of unsaturated–saturated flow in regional scales, the quasi-three-dimensional (3-D) scheme that considers one-dimensional (1-D) soil water flow and 3-D groundwater flow is an alternative method. However, it is still practically challenging for regional-scale problems due to the highly nonlinear and intensive i...
Soil water movement has direct effects on environment, agriculture and
hydrology. Simulation of soil water movement requires accurate determination of model parameters as well as initial and boundary conditions. However, it is difficult to obtain the accurate initial soil moisture or matric potential profile at the beginning of simulation time, mak...
Modeling variably saturated flow in the vadose zone is of vital importance to many scientific fields and engineering applications. Richardson–Richards equation (RRE, which is conventionally known as Richards' equation) is often chosen to physically represent the fluxes in the vadose zone when the accurate characterization of the soil water dynamics...
Long-term and accurate predictions of regional groundwater hydrology are important for maintaining environmental sustainability in arid agricultural areas that experience seasonal freezing and thawing where serious water-saving measurements are used. In this study, we firstly developed a machine-learning method by integrating a multivariate time se...
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For computationally efficient modeling of unsaturated-saturated flow systems of regional scale, it is necessary to use Quasi three-dimensional (3-D) schemes that consider one-dimensional (1-D) soil water flow and 3-D groundwater flow. However, it is still practically challenging for regional-scale problems due to the high non-linear and intensive i...
A simple root zone salt balance model was developed for long-term soil salt prediction. A groundwater balance module was integrated to obtain the water flux at the bottom of the root zone, since groundwater level is easily and reliably measured data. An assumption that the net percolation at the bottom of root zone equals to the net recharge from r...
Accurately capturing the complex soil-water and groundwater interactions is
vital for describing the coupling between subsurface–surface–atmospheric
systems in regional-scale models. The nonlinearity of Richards' equation (RE)
for water flow, however, introduces numerical complexity to large
unsaturated–saturated modeling systems. An alternative is...
Greenhouse cultivation is expanding in China due to high production efficiency and greater economic benefits. Although the accumulation of soil salinity and nutrients has been observed in greenhouse cultivation areas, the linkage between soil salinity, soil major ions, and farm practices is not clear in China. Few studies have examined soil salinit...
Soil water movement has direct effects on environment, agriculture and hydrology. Simulation of soil 5 water movement requires accurate determination of model parameters as well as initial and boundary conditions. However, it is difficult to obtain the accurate initial soil moisture/matric potential profile at the beginning of simulation time, maki...
The high non-linearity in the hydraulic retention curve introduces potential numerical instability and mass balance error in the traditional unsaturated-saturated flow models, which subsequently increases the difficulty for solute transport simulation. This paper proposed a generalized equation switching scheme, which implicitly solves different go...
Simulation of variably saturated soil water flow requires the use of pressure head, or soil moisture, or a switching between the two, as the primary variable for solving Richards’ equation. Under unfavorable conditions, such as heterogeneity, rapidly changing atmospheric boundary, or sudden infiltration into dry soils, the traditional non-switching...
Nitrogen reactive transport modeling is subject to uncertainty in model parameters, structures, and scenarios. By using a new variance-based global sensitivity analysis method, this paper identifies important parameters for nitrogen reactive transport with simultaneous consideration of these three uncertainties. A combination of three scenarios of...
This study is focused on investigating the impacts of organic carbon on the denitrification process of nitrogen transformation and transport. A numerical model, Nitrogen-2D, is modified by considering the impact of organic carbon in the denitrification equation. The modified model is used to simulate the soil nitrogen (including nitrate and ammoniu...
Predicting water table depth over the long-term in agricultural areas presents great challenges because these areas have complex and heterogeneous hydrogeological characteristics, boundary conditions, and human activities; also, nonlinear interactions occur among these factors. Therefore, a new time series model based on Long Short-Term Memory (LST...
Long-term prediction of regional groundwater and salt dynamics is important for the agricultural sustainability in Hetao Irrigation District, where the water resources supply and demand contradiction is prominent. The mulched drip irrigation with the well-canal conjunctive irrigation will be applied to save water and control soil salinity. In this...
It is a long lasting cost-benefit issue to accurately simulate the complex groundwater flow phenomena with small-scale properties within a large-scale aquifer. This work proposes a three-dimensional coupling scheme for groundwater flow simulation with multi-scale spatial and temporal discretization to solve the large-scale model within the entire d...
Multi-scale modeling of the localized groundwater flow problems in a large-scale aquifer has been extensively investigated under the context of cost-benefit controversy. An alternative is to couple the parent and child models with different spatial and temporal scales, which may result in non-trivial sub-model errors in the local areas of interest....
Numerical models based on Richards' equation are often employed to simulate the soil water dynamics. Among them, those Picard iteration models which use the head as primary variable are widely adopted due to their simplicity and capability for handling partially saturated flow conditions. However, it is well-known that those models are prone to con...
Gradient based UCODE_2005 and data assimilation based on the Ensemble Kalman Filter (EnKF) are two different inverse methods. A synthetic two-dimensional flow case with four no-flow boundaries is used to compare the UCODE_2005 with the Ensemble Kalman Filter (EnKF) for their efficiency to inversely calculate and calibrate a hydraulic conductivity f...
Prevention of chemical transfer from soil to surface runoff, under condition of irrigation and subsurface drainage, would improve surface water quality. In this paper, a series of laboratory experiments were conducted to assess the effects of various soil and hydraulic factors on chemical transfer from soil to surface runoff. The factors include ma...
Irrigation water is an important but missing hydrological cycle component in the region with intensive agricultural irrigation, due to the lack of monitoring facilities. The Hebei Plain, suffering the most severe groundwater depletion in China for agriculture production, provides an ideal background to study historical agricultural water consumptio...
Accurate modeling of soil water content is required for a reasonable prediction of crop yield and of agrochemical leaching in the field. However, complex mathematical models faced the difficult-to-calibrate parameters and the distinct knowledge between the developers and users. In this study, a deterministic model is presented and is used to invest...
The mixing layer theory is not suitable for predicting solute transfer from initially saturated soil to surface runoff water under controlled drainage conditions. By coupling the mixing layer theory model with the numerical model Hydrus-1D, a hybrid solute transfer model has been proposed to predict soil solute transfer from an initially saturated...
Due to the high nonlinearity of the three-dimensional (3-D) unsaturated-saturated water flow equation, using a fully 3-D numerical model is computationally expensive for large scale applications. A new unsaturated-saturated water flow model is developed in this paper based on the vertical/horizontal splitting (VHS) concept to split the 3-D unsatura...
With the development of modern agriculture, large amount of fertilizer and pesticide outflow from farming land causes great waste and serious pollution to surface water and groundwater, and threatens ecological environment and even human life. In this paper, laboratory experiments are conducted to simulate adsorbed Cr(VI) transfer from soil into ru...
Core Ideas
Large‐scale equations have the same form as the Richards equation.
Large‐scale parameters are expressed by the mean parameters plus correction terms.
Mean parameters can substitute for the large‐scale parameters.
The spatial variability of soil properties hinders the mean unsaturated flow.
Based on the stochastic perturbation approach,...
As the amount of water resources that can be utilized for agricultural production is limited, the reuse of treated wastewater (TWW) for irrigation is a practical solution to alleviate the water crisis in China. The process-based models, which estimate nitrogen dynamics under irrigation, are widely used to investigate the best irrigation and fertili...
Through linearizing an implicit differencing scheme, several noniterative numerical solutions of Richards' equation in different forms are derived here. Paniconi et al. (Water Resources Research, 27(6), 1147– 1163, 1991) have developed a first-order accurate lineariza-tion of the head-based Richards' equation (RE) and a second-order accurate linear...
Usefulness of flux data for detecting flux
With growing importance of water resources in the world, remediations of anthropogenic contaminations due to reactive solute transport become even more important. A good understanding of reactive rate parameters such as kinetic parameters is the key to accurately predicting reactive solute transport processes and designing corresponding remediation...
This study evaluated three algorithms of the iterative ensemble Kalman filter (EnKF). They are Confirming EnKF, Restart EnKF, and modified Restart EnKF developed to resolve the inconsistency problem (i.e., updated model parameters and state variables do not follow the Richards equation) in vadose zone data assimilation due to model nonlinearity. Wh...
An ensemble Kalman filter (EnKF) is developed to identify a hydraulic conductivity distribution in a heterogeneous medium by assimilating solute concentration measurements of solute transport in the field with a steady-state flow. A synthetic case with the mixed Neumann/Dirichlet boundary conditions is designed to investigate the capacity of the da...
Solute transport prediction is always subject to uncertainty due to the scarcity of observation data. The data worth of limited measurements can be explored by conditional simulation. This paper presents an efficient approach for the conditional simulation of solute transport in a randomly heterogeneous aquifer. The conditioning conductivity field...
Changes in soil hydraulic properties with depth are common in field soils and need to be described in numerical simulations. Water content is undesirable to calculate Darcian flux since it is not continuous across boundaries between different soil layers. A general form of the one-dimensional water content based Richards equation, which was first d...
Field capacity is one of the most commonly used soil parameters in irrigation systems and agriculture. Methods for determining field capacity are either time, pressure, or model based. The numerical approach to estimate field capacity using a model-based definition is found to be effective in its ability to predict field capacities; however, this m...
:The non-linearity of unsaturated flow requests small time step and fine grid in the corresponding simulation，and the simulation often suffers from some unfavorable boundary conditions． Therefore，it is time-consuming to simulate the regional unsaturated-saturated flow by traditional numerical methods． In view of this issue，a 1D unsaturated model ba...
It is a long-lasting challenge in subsurface hydrologic modeling to develop numerically efficient algorithm for coupling unsaturated and saturated flow, especially in regional-scale modeling. In this study, a new scheme is developed for coupled numerical simulation of unsaturated-saturated water flow at the regional scale. The modeling domain is di...
In this paper, we propose an ensemble Kalman filter based on the mutiscale finite element method for the large-scale groundwater problem. The multiscale finite element method is employed to avoid the conventional fine-scale simulation during the forward prediction. The EnKF and the multiscale algorithm are integrated as independent components. They...
A localized ensemble Kalman filter (EnKF) method is developed to assimilate transient flow data to calibrate a heterogeneous conductivity field. To update conductivity value at a point in a study domain, instead of assimilating all the measurements in the study domain, only limited measurement data in an area around the point are used for the condu...
In this article, we discuss the application of multiscale finite element method (MsFEM) to groundwater flow in heterogeneous
porous media. We investigate the ability of MsFEM in qualifying the flow uncertainty. Monte Carlo simulation is employed to
implement the stochastic analysis, and MsFEM is used to avoid a full resolution to the spatial variab...
Abstract: In order to analyze the airflow pattern and crop evapotranspiration in the plastic greenhouse. Based on computational fluid dynamics simulation, the natural ventilation process in the common plastic greenhouse in East China was performed, and the relationship between the inside ventilation rate and outside wind rate was also established....
An approach was presented to estimate the soil hydraulic parameters based on van Genuchten
model and Darcy’s law by using soil moisture data. According to the basic idea of the Instantaneous Profile Method， the soil hydraulic parameters were estimated by the Nonlinear Least Squares Methods using
soil moisture data at different time and depths. The...
Abstract: The controlled drainage is beneficial to avoiding the secondary salinity in the greenhouse. In order to analysis the soil water and nitrogen dynamics in the greenhouse, the RZWQM (Root Zone Water Quality Model) model was calibrated and validated based on the field experiment and used to analyze the soil water and nitrogen distributions in...
A data assimilation method is developed to calibrate a heterogeneous hydraulic conductivity field conditioning on transient
pumping test data. The ensemble Kalman filter (EnKF) approach is used to update model parameters such as hydraulic conductivity
and model variables such as hydraulic head using available data. A synthetical two-dimensional flo...
Owing to the spatial variability of the media properties, uncertainty quantification for subsurface flow and solute transport usually requires high-resolution simulations. In this work, a multiscale probabilistic collocation method (MSPCM) is developed for solving such problems in a computationally efficient manner. The subsurface flow problem is c...
In risk analysis, a complete characterization of the concentration distribution is necessary to determine the probability
of exceeding a threshold value. The most popular method for predicting concentration distribution is Monte Carlo simulation,
which samples the cumulative distribution function with a large number of repeated operations. In this...
Australian irrigators are under considerable pressure to increase irrigation efficiency and reduce deep drainage, driven by environmental and economic imperatives. Capacitance probe sensors are relatively cheap and popular electromagnetic equipment to measure soil water content. A field experiment was performed with capacitance probe in Mallee area...
Environmental control programs are beginning to implement water resources control strategies based on transpiration models. Most transpiration studies of greenhouse crops have been undertaken under cold conditions in northern and central Europe. The ventilation process in a local plastic greenhouse was studied using three-dimensional computational...