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Title: 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. This study analyzed sediment and particulate organic carbon yield (CY) data from 1081 and 38 small catchments (0.1-200 km27 ), 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 landmore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2];  [1];  [3];  [4];  [1]; ORCiD logo [5]; ORCiD logo [6]
  1. Pacific Northwest National Laboratory, Richland WA USA
  2. Montana State University, Bozeman MT USA
  3. Département de Géographie, Université de Liège, Liege Belgium
  4. Department of Earth and Environmental Sciences, Division of Geography, KU Leuven, Leuven Belgium
  5. Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing China
  6. Institute for Geology, Center for Earth System Research and Sustainability, Universität Hamburg, Hamburg Germany
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1421352
Report Number(s):
PNNL-SA-130974
Journal ID: ISSN 0043-1397; KP1703020
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Water Resources Research; Journal Volume: 53; Journal Issue: 12
Country of Publication:
United States
Language:
English
Subject:
sediment; global carbon cycle; erosion; water

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. doi:10.1002/2017WR020806.
Tan, Zeli, Leung, L. Ruby, Li, Hongyi, Tesfa, Teklu, Vanmaercke, Matthias, Poesen, Jean, Zhang, Xuesong, Lu, Hui, and Hartmann, Jens. Fri . "A Global Data Analysis for Representing Sediment and Particulate Organic Carbon Yield in Earth System Models". United States. doi:10.1002/2017WR020806.
@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. This study analyzed sediment and particulate organic carbon yield (CY) data from 1081 and 38 small catchments (0.1-200 km27 ), 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 = {Fri Dec 01 00:00:00 EST 2017},
month = {Fri Dec 01 00:00:00 EST 2017}
}