A5081412929- Hydrology and Watershed Management Studies
- Groundwater flow and contamination studies
- Soil and Water Nutrient Dynamics
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Groundwater and Isotope Geochemistry
- Meteorological Phenomena and Simulations
- Soil Carbon and Nitrogen Dynamics
- Cryospheric studies and observations
- Hydrocarbon exploration and reservoir analysis
- Climate change impacts on agriculture
- Heat Transfer Mechanisms
- Scientific Computing and Data Management
- Hydrology and Sediment Transport Processes
- Hydrological Forecasting Using AI
- Water-Energy-Food Nexus Studies
- Fluid Dynamics and Turbulent Flows
- Crop Yield and Soil Fertility
- Water resources management and optimization
- Marine and coastal ecosystems
- Pesticide and Herbicide Environmental Studies
- Electronic Packaging and Soldering Technologies
Pennsylvania State University
2016-2025
China Pharmaceutical University
2023-2024
Northeastern University
2024
Huazhong Agricultural University
2022-2023
Abstract A fully coupled land surface hydrologic model, Flux-PIHM, is developed by incorporating a scheme into the Penn State Integrated Hydrologic Model (PIHM). The adapted from Noah model. Because PIHM capable of simulating lateral water flow and deep groundwater at spatial resolutions sufficient to resolve upland stream networks, Flux-PIHM able represent heterogeneities due topography soils high resolution, including structure in link between energy balance (SEB). has been implemented...
Abstract Why do solute concentrations in streams remain largely constant while discharge varies by orders of magnitude? We used a new hydrological land surface and reactive transport code, RT‐Flux‐PIHM, to understand this long‐standing puzzle. focus on the nonreactive chloride (Cl) magnesium (Mg) Susquehanna Shale Hills Critical Zone Observatory (SSHCZO). Simulation results show that stream comes from runoff (Q s ), soil lateral flow L deeper groundwater G with Q contributing >70%. In...
Abstract Model development in hydrology and geochemistry has been advancing separately with limited integration. We developed a watershed hydrogeochemical code RT‐Flux‐PIHM to understand complex interactions between hydrological processes (PIHM), land‐surface (FLUX—Noah Land Surface Model), multicomponent subsurface reactive transport (RT). The RT module simulates geochemical including aqueous complexation, surface mineral dissolution precipitation, cation exchange. is verified against the...
[1] This paper presents multiple parameter estimation using multivariate observations via the ensemble Kalman filter (EnKF) for a physically based land surface hydrologic model. A data assimilation system is developed coupled model (Flux-PIHM) by incorporating EnKF and state estimation. Synthetic experiments are performed at first-order watershed, Shale Hills watershed (0.08 km2). Six parameters estimated. Observations of discharge, water table depth, soil moisture, temperature, sensible...
Abstract Despite a multitude of small catchment studies, we lack deep understanding how variations in critical zone architecture lead to hydrologic states and fluxes. This study characterizes dynamics 15 catchments the U.S. Critical Zone Observatory (CZO) network where hypothesized that our subsurface structure would illuminate patterns partitioning. The CZOs collect data sets characterize physical, chemical, biological subsurface, while also monitoring fluxes such as streamflow,...
Major societal and environmental challenges involve complex systems that have diverse multi-scale interacting processes. Consider, for example, how droughts water reserves affect crop production agriculture industrial needs quality availability. Preventive measures, such as delaying planting dates adopting new agricultural practices in response to changing weather patterns, can reduce the damage caused by natural Understanding these human processes one another allows forecasting effects of...
Abstract. Many scientists have begun to refer the earth surface environment from upper canopy depths of bedrock as critical zone (CZ). Identification CZ an integral object worthy study implicitly posits that whole will provide benefits do not arise when studying individual parts. To CZ, however, requires prioritizing among measurements can be made – and we generally agree on priorities. Currently, Susquehanna Shale Hills Critical Zone Observatory (SSHCZO) is expanding a small original focus...
Core Ideas Studying the critical zone requires targeted research on water, energy, gas, solutes, and sediments. The SSHCZO targets a 165‐km 2 watershed sedimentary rocks in northeastern United States. One subcatchment, Shale Hills, provides extraordinary data describing shale CZ. Susquehanna Hills Critical Zone Observatory (SSHCZO) was established to investigate form, function, dynamics of developed Appalachian Mountains central Pennsylvania. When first established, encompassed only...
Abstract Understanding streamflow generation and its dependence on catchment characteristics requires large spatial data sets is often limited by convoluted effects of multiple variables. Here we address this knowledge gap using data‐informed, physics‐based hydrologic modeling in two catchments with similar vegetation climate but different lithology (Shale Hills [SH], shale, 0.08 km 2 , Garner Run [GR], sandstone, 1.34 ), which influences topography soil properties. The sandstone catchment,...
The Critical Zone (CZ) incorporates all aspects of the earth's environment from vegetation canopy to bottom groundwater. CZ researchers target processes that cross timescales water fluxes (milliseconds decades) evolution landforms (thousands tens millions years). Conceptual and numerical models are used investigate important fluxes: water, energy, solutes, carbon, nitrogen, sediments. Depending upon questions addressed, these must calculate distribution landforms, regolith structure...
Abstract Climate change is expected to impact vegetation in the western United States, leading shifts dominant Plant Functional Types and carbon storage. Here, we used a biogeographic model integrated with biogeochemical predict changes Type by 2070−2100. Results show that under Representative Concentration Pathway 4.5 scenario, 40% of originally forested areas will transition shrubland (7%) or grassland (32%), while 8.5 58% shift (18%) (40%). These result net overall loss storage equal −60...
Abstract Following a nuclear war, destruction would extend well beyond the blast zones due to onset of winter that can devastate biosphere, including agriculture. Understanding damage magnitude and preparing for folly its occurrence is critical given current geopolitical tensions. We developed applied framework simulate global crop production under using Cycles agroecosystem model, incorporating UV-B radiation effects on plant growth adaptive selection maturity types (shorter cycle lower...
Abstract Soil moisture is a critical variable in the water and energy cycles. The prediction of soil patterns, especially at high spatial resolution, challenging. This study tests ability land surface hydrologic model (Flux‐PIHM) to simulate high‐resolution patterns Shale Hills watershed (0.08 km 2 ) central Pennsylvania. Locally measured variables including map, parameters, tree lidar topographic data, all have been synthesized into Flux‐PIHM provide inputs. predicted 10‐cm for 15...
Abstract Projections of future conditions within the critical zone—earthcasts—can be used to understand potential effects changes in climate on processes affecting landscapes. We are developing an approach earthcast how weathering will change using scenarios change. As a first step here, we use earthcasting model aspect‐related soil water chemistry and hillsides well‐studied east‐west trending watershed (Shale Hills, Pennsylvania, USA). completed simulations solute with without effect aspect...
Abstract. Watersheds are the fundamental Earth surface functioning units that connect land to aquatic systems. Many watershed-scale models represent hydrological processes but not biogeochemical reactive transport processes. This has limited our capability understand and predict solute export, water chemistry quality, system response changing climate anthropogenic conditions. Here we present a recently developed BioRT-Flux-PIHM (BioRT hereafter) v1.0, model. The model augments previously...
Abstract Reactive Transport Models (RTMs) are essential tools for understanding and predicting intertwined ecohydrological biogeochemical processes on land in rivers. While traditional RTMs have focused primarily subsurface processes, recent watershed‐scale integrated interactions between surface subsurface. These emergent, often spatially explicit require extensive data, computational power, expertise. There is however a pressing need to create parsimonious models that minimal data...
Abstract Land surface models (LSMs) and hydrologic are parameterized models. The number of involved parameters is often large. Sensitivity analysis (SA) a key step to understand the complex relationships between state variables parameters. SA also critical system dynamics examine parameter identifiability. In this paper, for fully coupled, physically based, distributed land model, namely, Flux–Penn State Integrated Hydrologic Model (Flux–PIHM), performed. Multiparameter single-parameter...