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Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Soil environmental carrying capacity and its spatial high-precision accounting framework
Mingkai Qu1, Xu Guang1, Jian Chen1
1State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China; University of Chinese Academy of Sciences, Nanjing, 211135, China.
Controlling human activity intensity within soil environmental carrying capacity (SECC) is vital for sustainability. This study introduces a high-precision spatial accounting framework for SECC, improving early warnings for human activity impacts.
Area of Science:
- Environmental Science
- Soil Science
- Environmental Engineering
Background:
- Soil environmental carrying capacity (SECC) assessment is crucial for environmental sustainability but often overlooks human activity intensity and pollutant emissions.
- Existing methods lack spatial precision and effective early warning systems for human activity intensity.
- Assessing SECC requires integrating pollutant thresholds, input/output fluxes, and human activity impacts.
Purpose of the Study:
- To develop a spatial high-precision accounting framework for Soil Environmental Carrying Capacity (SECC).
- To establish a quantitative relationship between human activity intensity and pollutant emissions for improved SECC assessment.
- To provide an effective tool for early warning of human activity intensity in soil units.
Main Methods:
- Established a spatial Soil Environmental Capacity (SEC) model using pollutant thresholds and protection targets.
- Developed a spatial net-input flux model to quantify soil pollutant input/output.
- Integrated human activity intensity with pollutant emissions into the SECC model for spatial accounting.
- Applied the framework to assess SECC for copper production in a Chinese smelting area.
Main Results:
- Calculated average SECs for Cu, Cd, Pb, Zn, As, and Cr (e.g., Cu: 427.89 kg hm⁻²).
- Identified heavy metal concentrations and land-use types as key factors influencing SEC spatial distribution.
- Determined atmospheric deposition as the primary heavy metal input pathway, with high net-input fluxes in the southeast.
- Projected reduced average SECs under 50 years of current human activity intensity (e.g., Cu: 202.31 kg hm⁻²).
- Quantified the SECC for increased copper production capacity at 1.53 × 10⁶ t to maintain acceptable risk levels.
Conclusions:
- The proposed spatial SECC accounting framework offers high precision and effective early warning capabilities.
- Understanding the interplay between human activity, pollutant emissions, and soil capacity is essential for sustainable land management.
- The methodology provides a robust tool for managing industrial activities and their environmental impacts in vulnerable areas.
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