Robert Hill

About

Professor Robert L. Hill is an expert in Environmental Science & Technology at the University of Maryland. His research focuses on the parameterization of tillage effects on soil hydraulic properties and agrichemical losses, as well as the development of nutrient management planning and environmental risk assessment software. His work aims to improve understanding of soil and environmental interactions related to agricultural practices, contributing to sustainable land use and environmental protection.

Research topics

• Environmental science
• Soil science
• Biology
• Agronomy
• Ecology
• Animal science
• Atmospheric sciences
• Geotechnical engineering
• Geology
• Meteorology

Selected publications

• Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe

  Geoderma · 2023 · 126 citations

  Assessing root sources of three uncertainties – parameterization of soil hydraulic characteristics, boundary conditions, and estimation of source/sink terms – is a significant challenge in soil water transport modeling. This study aims to evaluate the uncertainty of three each widely-used parameter estimation methods affecting plot-scale water dynamics. The study employs HYDRUS, a process-based hydrologic model, to incorporate these uncertainties and compare model predictions to measured values…

  PublisherDOI

• Effect of grazing exclusion on nitrous oxide emissions during freeze-thaw cycles in a typical steppe of Inner Mongolia

  Agriculture Ecosystems & Environment · 2020 · 64 citations

  Senior authorCorresponding
  DOI

• Dimensionality and scales of preferential flow in soils of Shale Hills hillslope simulated using HYDRUS

  Vadose Zone Journal · 2024-07-01 · 54 citations

  articleOpen access

  Abstract Preferential flow (PF) processes are governed by subsurface soil structures at various scales. Still, model validation and mechanistic understanding of PF are very lacking. We hypothesize that PF at hillslope and larger scales cannot be described and quantified when neglecting small‐scaled spatially variable processes and simplifying the model dimensionality. The objective was to learn from comparing simulation results of multidimensional (1D, 2D, and 3D) and multiscale (pedon, catena,…

  PublisherOA PDFDOI

• Effects of partial organic fertilizer replacement combined with rainwater collection system on soil water, nitrate-nitrogen and apple yield of rainfed apple orchard in the Loess Plateau of China: A 3-year field experiment

  Agricultural Water Management · 2021 · 35 citations

  DOI

• Comparative efficiency of the SWAT model and a deep learning model in estimating nitrate loads at the Tuckahoe creek watershed, Maryland

  The Science of The Total Environment · 2024-09-20 · 13 citations

  article
  PublisherDOI

Recent grants

• NIH Grant R37GM025766

  NIH · $4.9M · 1998

• NIH Grant R01GM025766

  NIH · $2.3M · 2003

Frequent coauthors

• Thomas Vanaman

  University of Kentucky

  64 shared

• J. Evan Sadler

  62 shared

• Thomas A. Beyer

  61 shared

• James C. Paulson

  Scripps Research Institute

  58 shared

• Jean‐Paul Prieels

  GlaxoSmithKline (Belgium)

  53 shared

• Keith Brew

  51 shared

• James I. Rearick

  A.T. Still University

  49 shared

• Ying Zhao

  University of Saskatchewan

  43 shared

Similar researchers at University of Maryland, College Park

• Ray Weilh-42
• Gurpal Toorh-41
• Marty Rabenhorsth-33