A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models
Abstract
Although sediment yield (SY) from water erosion is ubiquitous and its environmental consequences are well recognized, its impacts on the global carbon cycle remain largely uncertain. This knowledge gap is partly due to the lack of soil erosion modeling in Earth System Models (ESMs), which are important tools used to understand the global carbon cycle and explore its changes. As such, this study analyzed sediment and particulate organic carbon yield (CY) data from 1081 and 38 small catchments (0.1-200 km2), respectively, in different environments across the globe. Using multiple statistical analysis techniques, we explored environmental factors and hydrological processes important for SY and CY modeling in ESMs. Our results show clear correlations of high SY with traditional agriculture, seismicity and heavy storms, as well as strong correlations between SY and annual peak runoff. These highlight the potential limitation of SY models that represent only interrill and rill erosion because shallow overland flow and rill flow have limited transport capacity due to their hydraulic geometry to produce high SY. Further, our results suggest that SY modeling in ESMs should be implemented at the event scale to produce the catastrophic mass transport during episodic events. Several environmental factors such as seismicity andmore »
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Montana State Univ., Bozeman, MT (United States)
- Univ. de Liège (Belgium)
- Katholieke Univ. (KU) Leuven (Belgium)
- Tsinghua Univ., Beijing (China)
- Univ. of Hamburg (Germany)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); German Science Foundation (DFG)
- OSTI Identifier:
- 1421352
- Alternate Identifier(s):
- OSTI ID: 1414505
- Report Number(s):
- PNNL-SA-130974
Journal ID: ISSN 0043-1397; KP1703020
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Water Resources Research
- Additional Journal Information:
- Journal Volume: 53; Journal Issue: 12; Journal ID: ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; sediment; global carbon cycle; erosion; water; sediment yield; POC yield; data analysis; Earth System Models; river biogeochemistry
Citation Formats
Tan, Zeli, Leung, L. Ruby, Li, Hongyi, Tesfa, Teklu, Vanmaercke, Matthias, Poesen, Jean, Zhang, Xuesong, Lu, Hui, and Hartmann, Jens. A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models. United States: N. p., 2017.
Web. doi:10.1002/2017WR020806.
Tan, Zeli, Leung, L. Ruby, Li, Hongyi, Tesfa, Teklu, Vanmaercke, Matthias, Poesen, Jean, Zhang, Xuesong, Lu, Hui, & Hartmann, Jens. A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models. United States. https://doi.org/10.1002/2017WR020806
Tan, Zeli, Leung, L. Ruby, Li, Hongyi, Tesfa, Teklu, Vanmaercke, Matthias, Poesen, Jean, Zhang, Xuesong, Lu, Hui, and Hartmann, Jens. Thu .
"A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models". United States. https://doi.org/10.1002/2017WR020806. https://www.osti.gov/servlets/purl/1421352.
@article{osti_1421352,
title = {A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models},
author = {Tan, Zeli and Leung, L. Ruby and Li, Hongyi and Tesfa, Teklu and Vanmaercke, Matthias and Poesen, Jean and Zhang, Xuesong and Lu, Hui and Hartmann, Jens},
abstractNote = {Although sediment yield (SY) from water erosion is ubiquitous and its environmental consequences are well recognized, its impacts on the global carbon cycle remain largely uncertain. This knowledge gap is partly due to the lack of soil erosion modeling in Earth System Models (ESMs), which are important tools used to understand the global carbon cycle and explore its changes. As such, this study analyzed sediment and particulate organic carbon yield (CY) data from 1081 and 38 small catchments (0.1-200 km2), respectively, in different environments across the globe. Using multiple statistical analysis techniques, we explored environmental factors and hydrological processes important for SY and CY modeling in ESMs. Our results show clear correlations of high SY with traditional agriculture, seismicity and heavy storms, as well as strong correlations between SY and annual peak runoff. These highlight the potential limitation of SY models that represent only interrill and rill erosion because shallow overland flow and rill flow have limited transport capacity due to their hydraulic geometry to produce high SY. Further, our results suggest that SY modeling in ESMs should be implemented at the event scale to produce the catastrophic mass transport during episodic events. Several environmental factors such as seismicity and land management that are often not considered in current catchment-scale SY models can be important in controlling global SY. Our analyses show that SY is likely the primary control on CY in small catchments and a statistically significant empirical relationship is established to calculate SY and CY jointly in ESMs.},
doi = {10.1002/2017WR020806},
journal = {Water Resources Research},
number = 12,
volume = 53,
place = {United States},
year = {Thu Dec 21 00:00:00 EST 2017},
month = {Thu Dec 21 00:00:00 EST 2017}
}
Web of Science
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