Bhavna Arora

Lawrence Berkeley National Laboratory

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Dipankar Dwivedi

Lawrence Berkeley National Laboratory

Peter Nico

Lawrence Berkeley National Laboratory

Carl I. Steefel

Lawrence Berkeley National Laboratory

Susan S. Hubbard

Lawrence Berkeley National Laboratory

Kenneth H. Williams

Rocky Mountain Biological Laboratory

Haruko Wainwright

Massachusetts Institute of Technology

Nicolas Spycher

Lawrence Berkeley National Laboratory

Baptiste Dafflon

Lawrence Berkeley National Laboratory

Margaret Zimmer

University of Wisconsin–Madison

Boris Faybishenko

Lawrence Berkeley National Laboratory

Cooperative Institutions

Lawrence Berkeley National Laboratory

University of California, Berkeley

NASA Earth Science

Pacific Northwest National Laboratory

Lawrence Livermore National Laboratory

Berkeley College

United States Geological Survey

Centre National de la Recherche Scientifique

John Wiley & Sons (United States)

University of Wisconsin–Madison

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Hysteresis Patterns of Watershed Nitrogen Retention and Loss Over the Past 50 years in United States Hydrological Basins

Global Biogeochemical Cycles (2021)

Michelle Newcomer Nicholas Bouskill Haruko Wainwright Taylor Maavara Bhavna Arora

Abstract Patterns of watershed nitrogen (N) retention and loss are shaped by how watershed biogeochemical processes retain, biogeochemically transform, and lose incoming atmospheric deposition of N. Loss patterns represented by concentration, discharge, and their associated stream exports are important indicators of integrated watershed N retention behaviors. We examined continental United States (CONUS) scale N deposition (e.g., wet and dry atmospheric deposition), vegetation trends, and stream trends as potential indicators of watershed N‐saturation and retention conditions, and how watershed N retention and losses vary over space and time. By synthesizing changes and modalities in watershed nitrogen loss patterns based on stream data from 2200 U.S. watersheds over a 50 years record, our work revealed two patterns of watershed N‐retention and loss. One was a hysteresis pattern that reflects the integrated influence of hydrology, atmospheric inputs, land‐use, stream temperature, elevation, and vegetation. The other pattern was a one‐way transition to a new state. We found that regions with increasing atmospheric deposition and increasing vegetation health/biomass patterns have the highest N‐retention capacity, become increasingly N‐saturated over time, and are associated with the strongest declines in stream N exports—a pattern, that is, consistent across all land cover categories. We provide a conceptual model, validated at an unprecedented scale across the CONUS that links instream nitrogen signals to upstream mechanistic landscape processes. Our work can aid in the future interpretation of in‐stream concentrations of DOC and DIN as indicators of watershed N‐retention status and integrators of watershed hydrobiogeochemical processes.

Biogeochemical Cycle

10.1029/2020gb006777

Cite

Citations (36)

Adding our leaves: A community‐wide perspective on research directions in ecohydrology

Hydrological Processes (2020)

C. Tague S. A. Papuga Cynthia Gerlein‐Safdi Salli F. Dymond Ryan R. Morrison

Appendix Table S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Ecohydrology

Table of contents

Content (measure theory)

Table (database)

10.1002/hyp.13693

Cite

Citations (10)

Effect of sulphur fertilization on the nitrogen-sulphur relationships in alfalfa (Medicago sativa L. Pers.)

Plant and Soil (1976)

M. S. Aulakh G. Dev Bhavna Arora

Medicago sativa

Plant Physiology

10.1007/bf00011130

Cite

Citations (25)

Comparison of Electrostatic and Non‐Electrostatic Models for U( VI ) Sorption on Aquifer Sediments

Ground Water (2017)

Bhavna Arora James A. Davis Nicolas Spycher Wenming Dong Haruko Wainwright

A non-electrostatic generalized composite surface complexation model (SCM) was developed for U(VI) sorption on contaminated F-Area sediments from the U.S. Department of Energy Savannah River Site, South Carolina. The objective of this study was to test if a simpler, semi-empirical, non-electrostatic U(VI) sorption model (NEM) could achieve the same predictive performance as a SCM with electrostatic correction terms in describing U(VI) plume evolution and long-term mobility. One-dimensional reactive transport simulations considering key hydrodynamic processes, Al and Fe minerals, as well as H+ and U surface complexation, with and without electrostatic correction terms, were conducted. The NEM was first calibrated with laboratory batch H+ and U(VI) sorption data on F-Area sediments, and then the surface area of the NEM was adjusted to match field observations of dissolved U(VI). Modeling results indicate that the calibrated NEM was able to perform as well as the previously developed electrostatic model in predicting the long-term evolution of H+ and U(VI) at the site, given the variability of field-site data. The electrostatic and NEM models yield somewhat different results for the time period when basin discharge was active; however, it is not clear which modeling approach may be better to model this early time period because groundwater quality data during this period were not available. A key finding of this study is that the applicability of NEM (and thus robustness of its predictions) to the field system evolves with time and is strongly dependent on the pH range that was used to develop the model.

Electrostatics

10.1111/gwat.12551

Cite

Citations (19)

Statistical characterization of environmental hot spots and hot moments and applications in groundwater hydrology

Hydrology and earth system sciences (2021)

Jiancong Chen Bhavna Arora Alberto Bellin Yoram Rubin

Abstract. Environmental hot spots and hot moments (HSHMs) represent rare locations and events that exert disproportionate influence over the environment. While several mechanistic models have been used to characterize HSHM behavior at specific sites, a critical missing component of research on HSHMs has been the development of clear, conventional statistical models. In this paper, we introduced a novel stochastic framework for analyzing HSHMs and the uncertainties. This framework can easily incorporate heterogeneous features into the spatiotemporal domain and can offer inexpensive solutions for testing future scenarios. The proposed approach utilizes indicator random variables (RVs) to construct a statistical model for HSHMs. The HSHM indicator RVs are comprised of spatial and temporal components, which can be used to represent the unique characteristics of HSHMs. We identified three categories of HSHMs and demonstrated how our statistical framework is adjusted for each category. The three categories are (1) HSHMs defined only by spatial (static) components, (2) HSHMs defined by both spatial and temporal (dynamic) components, and (3) HSHMs defined by multiple dynamic components. The representation of an HSHM through its spatial and temporal components allows researchers to relate the HSHM's uncertainty to the uncertainty of its components. We illustrated the proposed statistical framework through several HSHM case studies covering a variety of surface, subsurface, and coupled systems.

Component (thermodynamics)

Representation

Temporal scales

10.5194/hess-25-4127-2021

Cite

Citations (8)

Climate Change Precipitation Impacts on Residual in situ Groundwater Contaminants

AGU Fall Meeting Abstracts (2020)

Rebecca Serata Zhongfeng Xu Haruko Wainwright Sergi Molins Bhavna Arora

Groundwater Contamination

Source

Cite

Citations (0)

Differential C-Q Analysis: A New Approach to Inferring Lateral Transport and Hydrologic Transients Within Multiple Reaches of a Mountainous Headwater Catchment

Frontiers in Water (2020)

Bhavna Arora Madison Burrus Michelle Newcomer Carl I. Steefel Rosemary Carroll

Concentration-discharge (C-Q) relationships have been widely used as "hydrochemical tracers" to determine the variability in riverine solute exports across event, seasonal, annual, and decadal time scales. However, these C-Q relationships are limited to investigating solute transport dynamics at individual sampling stations, such that they create an incomplete understanding of the solute behavior upstream or downstream of the sampling station. Therefore, the objective of this study is to develop, apply and assess a differential C-Q approach that can characterize spatial variability in solute behavior across stations, as well as investigate their controls, by following a different spatial scheme and organizing the river into multiple sections. The differential C-Q approach captures the difference in concentration in a river segment over the difference in discharge, thereby accounting for gains, losses or fractional solute turnover between sampling stations. Using water quality data collected over four water years (2014-18) in a mountainous headwater catchment of the East River, Colorado, this study compares traditional and differential C-Q relationships in predicting solute behavior between three sampling stations distributed throughout the river. Results from the differential C-Q analysis demonstrate significant differences in solute behavior within upstream versus downstream reaches of the East River watershed. In particular, the meandering downstream section is marked by significant gains in both groundwater and solute concentrations as opposed to the dilution and the declining trends observed in the high-relief, steep terrain upstream reach. Shale mineralogy was determined to have a major influence on in-stream concentrations pertaining to Ca, DIC, DOC, Mg, Mo, NO3 and SO4. The analyses further revealed that total P concentration in the downstream reach exceeded the U.S. Environmental Protection Agency's desired goal for control of eutrophication (110 ppb). Overall, differential C-Q metrics yield a better understanding of the lateral storage and interactions within catchments than traditional analyses, and holds potential for aiding water quality managers in the identification of critical stream reaches that assimilate harmful chemicals.

10.3389/frwa.2020.00024

Cite

Citations (36)

An integrated Markov chain Monte Carlo algorithm for upscaling hydrological and geochemical parameters from column to field scale

The Science of The Total Environment (2015)

Bhavna Arora Binayak P. Mohanty Jennifer T. McGuire

Biogeochemistry

10.1016/j.scitotenv.2015.01.048

Cite

Citations (14)

Volcanology, Geochemistry, and Petrology Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science

Earth and Space Science (2022)

Bhavna Arora Adriana Currin Dipankar Dwivedi Mary Immaculate Neh Fru Naresh Kumar

Abstract This article is composed of a commentary about the state of Integrated, Coordinated, Open, and Networked (ICON) principles (Goldman et al., 2021, https://doi.org/10.1029/2021ea002099 ) in Volcanology, Geochemistry, and Petrology (VGP), and discussion on the opportunities and challenges of adopting them. VGP encompasses a broad field that addresses volcanic, magmatic, hydrothermal, geomicrobial systems; process investigations that span the physical, geochemical and biological realms, including planetary geology; and one that is extensively supported by state‐of‐the‐art research facilities. We suggest that an open, inclusive, collaborative and evolving model of an international coordinated network is critical to answering the most pressing challenges in VGP. In this commentary piece, we begin to discuss the elements of, challenges to, and path forward in developing such a model. For this team, ICON means collaboration, equitable access to data for the entire scientific community, and forging of partnerships that potentially contribute to more innovative ways of coordinating and sharing research. It also means bringing more equity to science, by implementing effective measures which consider access to funding, analytical equipment, resources, and mentors. More importantly, ICON to us means having important conversations around what we value in the advancement of science, perhaps exploring outside the idea of meritocracy and evaluating what individual traits can contribute to science outside what has traditionally been considered the norm.

Icon

Complementarity (molecular biology)

10.1029/2021ea002120

Cite

Citations (3)

Open-source AI-ready data for prediction of coastal water and carbon budgets under a changing climate

Bhavna Arora Evan B. Goldstein John Garder Margaret Zimmer Haruko Wainwright

than 80% of the global burned area, and emit ~1.4 PgC y-1 into the atmosphere together with other dust and aerosols that strongly affect regional climate.

Open water

Carbon fibers

10.2172/1769758

Cite

Citations (0)