4.7 Article

Vertical Connectivity Regulates Water Transit Time and Chemical Weathering at the Hillslope Scale

期刊

WATER RESOURCES RESEARCH
卷 57, 期 8, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2020WR029207

关键词

hillslope reactive transport modeling; critical zone weathering; shallow and deep hypothesis; concentration discharge relationship; transit time distribution

资金

  1. National Science Foundation [EAR 13-31726]
  2. Penn State Earth and Environmental Systems Institute
  3. Penn State College of Agriculture Sciences
  4. Department of Ecosystem Science and Management

向作者/读者索取更多资源

The study shows that permeability variations in hillslope structure have significant effects on vertical connectivity, mean transit times, and chemical weathering rates. However, in arid climates, the influence of long transit times on weathering is less significant. Three hypotheses were proposed and it was highlighted that hillslope structure plays a crucial role in regulating the hydrogeochemical response of surface water to changing climate and human activities.
How does hillslope structure (e.g., hillslope shape and permeability variation) regulate its hydro-geochemical functioning (flow paths, solute export, chemical weathering)? Numerical reactive transport experiments and particle tracking were used to answer this question. Results underscore the first-order control of permeability variations (with depth) on vertical connectivity (VC), defined as the fraction of water flowing into streams from below the soil zone. Where permeability decreases sharply and VC is low, >95% of water flows through the top 6 m of the subsurface, barely interacting with reactive rock at depth. High VC also elongates mean transit times (MTTs) and weathering rates. VC however is less of an influence under arid climates where long transit times drive weathering to equilibrium. The results lead to three working hypotheses that can be further tested. H1: The permeability variations with depth influence MTTs of stream water more strongly than hillslope shapes; hillslope shapes instead influence the younger fraction of stream water more. H2: High VC arising from high permeability at depths enhances weathering by promoting deeper water penetration and water-rock interactions; the influence of VC weakens under arid climates and larger hillslopes with longer MTTs. H3: VC regulates chemical contrasts between shallow and deep waters (C-ratio) and solute export patterns encapsulated in the power law slope b of concentration-discharge (CQ) relationships. Higher VC leads to similar shallow versus deep water chemistry (C-ratio similar to 1) and more chemostatic CQ patterns. Although supporting data already exist, these hypotheses can be further tested with carefully designed, co-located modeling and measurements of soil, rock, and waters. Broadly, the importance of hillslope subsurface structure (e.g., permeability variation) indicate it is essential in regulating earth surface hydrogeochemical response to changing climate and human activities.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Geosciences, Multidisciplinary

Seismic Ambient Noise Analyses Reveal Changing Temperature and Water Signals to 10s of Meters Depth in the Critical Zone

David O. S. Oakley, Brandon Forsythe, Xin Gu, Andrew A. Nyblade, Susan L. Brantley

Summary: By analyzing high-frequency ambient seismic noise data, temporal changes in seismic velocities in the critical zone from 1 to tens of meters deep were detected, driven by variations at the land surface. Most velocity changes can be explained by variations in temperature, while some double minima in seismic velocity time-series were attributed to the effects of water infiltration.

JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE (2021)

Article Environmental Sciences

The Limits of Homogenization: What Hydrological Dynamics can a Simple Model Represent at the Catchment Scale?

Hang Wen, Susan L. Brantley, Kenneth J. Davis, Jonathan M. Duncan, Li Li

Summary: The study compared the performance of complex and simple models in simulating hydrological dynamics at Shale Hills watershed, finding that the simple model can reproduce some hydrological dynamics but has limitations in ignoring spatial details.

WATER RESOURCES RESEARCH (2021)

Article Environmental Sciences

Climate Controls on River Chemistry

Li Li, Bryn Stewart, Wei Zhi, Kayalvizhi Sadayappan, Shreya Ramesh, Devon Kerins, Gary Sterle, Adrian Harpold, Julia Perdrial

Summary: This study examines the patterns and drivers of river chemistry by analyzing chemistry data from 506 minimally impacted rivers in the United States. The results show a universal pattern of decreasing solute concentrations with increased discharge, indicating that climate plays a dominant role in regulating river chemistry compared to local characteristics. A watershed reactor model is used to understand the relationship between solute concentrations and discharge, revealing the competing processes of solute production and export. These findings have implications for water quality and aquatic ecosystems in a warming climate.

EARTHS FUTURE (2022)

Article Environmental Sciences

Soil CO2 Controls Short-Term Variation but Climate Regulates Long-Term Mean of Riverine Inorganic Carbon

Bryn Stewart, Wei Zhi, Kayalvizhi Sadayappan, Gary Sterle, Adrian Harpold, Li Li

Summary: The study investigates DIC concentrations in over 100 minimally-impacted rivers in the contiguous United States. The results show that instantaneous concentrations are strongly influenced by changes in river discharge, while mean concentrations are regulated by climate. The study highlights the significance of subsurface flow paths in land-river connectivity and emphasizes the importance of characterizing subsurface CO2 distribution.

GLOBAL BIOGEOCHEMICAL CYCLES (2022)

Article Water Resources

Hydrologic connectivity and source heterogeneity control concentration-discharge relationships

Julia L. A. Knapp, Li Li, Andreas Musolff

Summary: This study analyzes long-term low-frequency data from four UK catchments using antecedent catchment wetness as a proxy for lateral hydrologic connectivity. The results demonstrate that solute mobilization mechanisms can vary depending on catchment wetness, as different catchment areas become hydrologically connected to or disconnected from streams. It also shows that flow and streamwater chemistry are mostly decoupled under dry conditions, with solute sources having a stronger impact on mobilization patterns during dry conditions compared to wet conditions.

HYDROLOGICAL PROCESSES (2022)

Article Engineering, Environmental

High Dissolved Carbon Concentration in Arid Rocky Mountain Streams

Devon Kerins, Li Li

Summary: Warming in mountains leads to higher concentrations of dissolved carbon in streams, especially in arid mountain areas. This indicates deteriorating water quality and changes in soil carbon dynamics, which have significant implications for global water resources and environmental sustainability.

ENVIRONMENTAL SCIENCE & TECHNOLOGY (2023)

Article Environmental Sciences

Linking Stream Chemistry to Subsurface Redox Architecture

Andrew R. Shaughnessy, Michael J. Forgeng, Tao Wen, Xin Gu, Jordon D. Hemingway, Susan L. Brantley

Summary: With the growing scarcity of drinking water worldwide, it is important to improve predictions of water resources quantity and quality. A major problem for model improvement is the lack of detailed knowledge about the geological structure of aquifers. This research shows that mineral-water reactions leave imprints in the subsurface, affecting the flow and transport of chemical species. Understanding these patterns can help manage water resources in the future under accelerated land use and climate change.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

Machine-Learning Reveals Equifinality in Drivers of Stream DOC Concentration at Continental Scales

Kristen L. Underwood, Donna M. Rizzo, John P. Hanley, Gary Sterle, Adrian Harpold, Thomas Adler, Li Li, Hang Wen, Julia N. Perdrial

Summary: Research at long-term catchment monitoring sites has generated a great volume, variety, and velocity of data for analysis of stream water chemistry dynamics. Machine learning tools have advantages over traditional statistical methods in extracting patterns from big data, but they may struggle to identify multivariate factor interactions and equifinality, which are common in catchments.

WATER RESOURCES RESEARCH (2023)

Article Soil Science

Is macroporosity controlled by complexed clay and soil organic carbon?

Aaron N. Koop, Daniel R. Hirmas, Sharon A. Billings, Li Li, Alejandro Cueva, Xi Zhang, Hang Wen, Attila Nemes, Ligia F. T. Souza, Hoori Ajami, Alejandro N. Flores, Aoesta K. Rudick, Annalise Guthrie, Lola M. Klamm, Micah Unruh, Pamela L. Sullivan

Summary: Climate-induced soil structural changes are occurring rapidly at yearly to decadal timescales, making it important to understand the properties and mechanisms controlling soil structure and macroporosity. This study shows that the complexed fraction of soil organic carbon and clay strongly influence effective porosity in both surface and subsurface horizons. The relationship between effective porosity and complexed organic carbon and clay can help predict future changes in soil hydraulic properties.

GEODERMA (2023)

Article Soil Science

Root distributions, precipitation, and soil structure converge to govern soil organic carbon depth distributions

Ligia F. T. Souza, Daniel R. Hirmas, Pamela L. Sullivan, Daniel C. Reuman, Matthew F. Kirk, Li Li, Hoori Ajami, Hang Wen, Marcos V. M. Sarto, Terry D. Loecke, Aoesta K. Rudick, Charles W. Rice, Sharon A. Billings

Summary: The distribution of soil organic carbon (SOC) is influenced by various ecosystem features, such as differential carbon inputs in shallow and deep soils and carbon redistribution through water flow. This study investigates the impact of land use conversion on SOC loss and retention, focusing on Mollisols. The research uses both regional-scale and local-scale datasets to understand the mechanisms driving SOC depth distributions and reveals the importance of root abundances and water availability in shaping vertical water flow and carbon transport.

GEODERMA (2023)

Article Environmental Sciences

Leveraging Groundwater Dynamics to Improve Predictions of Summer Low-Flow Discharges

Keira Johnson, Adrian Harpold, Rosemary W. H. Carroll, Holly Barnard, Mark S. Raleigh, Catalina Segura, Li Li, Kenneth H. Williams, Wenming Dong, Pamela L. Sullivan

Summary: Summer streamflow predictions are crucial for water resource management, but shifts from snow to rain regimes and reductions in snowpack affect low-flow predictive models. Understanding the variability of groundwater contributions is important for predicting summer low flows. This study quantifies the groundwater contribution during the recession limb to predict summer low flows in three western US watersheds. The results show that recession limb groundwater is a strong predictor of low flows across all sites and significantly improves prediction compared to snow metrics at rain-dominated sites. The study suggests that the control of recession limb groundwater on summer low flows may be mediated by subsurface storage, with the proportion of dynamic storage being a key factor. Including recession limb groundwater improves low-flow prediction in diverse watersheds.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

Widespread deoxygenation in warming rivers

Wei Zhi, Christoph Klingler, Jiangtao Liu, Li Li

Summary: This study reconstructed daily water temperature and dissolved oxygen in rivers across the United States and Central Europe using a deep learning model. The results showed that a majority of the rivers experienced persistent warming and deoxygenation, with urban rivers exhibiting the most rapid warming and agricultural rivers experiencing the slowest warming but fastest deoxygenation.

NATURE CLIMATE CHANGE (2023)

Article Environmental Sciences

Differentiable modelling to unify machine learning and physical models for geosciences

Chaopeng Shen, Alison P. P. Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Li Li, Xiaofeng Liu, Wei Ren, Yi Zheng, Ciaran J. J. Harman, Martyn Clark, Matthew Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Yalan Song, Hylke E. E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Hoge, Chris Rackauckas, Binayak Mohanty, Tirthankar Roy, Chonggang Xu, Kathryn Lawson

Summary: Differentiable modelling integrates the learning ability of machine learning with the interpretability of process-based models. It improves representation of processes, parameter estimation, and predictive accuracy in the geosciences. By connecting prior physical knowledge to neural networks, differentiable modelling combines process-based modelling and machine learning, offering better interpretability, generalizability, and extrapolation capabilities. It requires less training data compared to purely data-driven machine learning and scales well with increasing data volumes. Under data-scarce scenarios, it outperforms machine-learning models in capturing short-term dynamics and decadal-scale trends due to the imposed physical constraints.

NATURE REVIEWS EARTH & ENVIRONMENT (2023)

Article Geosciences, Multidisciplinary

BioRT-Flux-PIHM v1.0: a biogeochemical reactive transport model at the watershed scale

Wei Zhi, Yuning Shi, Hang Wen, Leila Saberi, Gene-Hua Crystal Ng, Kayalvizhi Sadayappan, Devon Kerins, Bryn Stewart, Li Li

Summary: Watersheds are fundamental units that connect land to aquatic systems. This paper presents a watershed-scale biogeochemical reactive transport model that can simulate both hydrological and biogeochemical processes. The model has been applied in multiple watersheds and can help understand the coupled processes under different conditions.

GEOSCIENTIFIC MODEL DEVELOPMENT (2022)

暂无数据