CH4MN - Rice Paddy Methane Emission Model

Input Parameters

Environmental Parameters

Soil Temperature (°C)

Air Temperature (°C)

Soil pH

Redox Potential (mV)

Soil Moisture (%)

Soil Composition

Nitrogen Content (mg/kg)

Nitrogen Application (g·m⁻²)

Microbial Count (10⁷ copies/g)

Carbon Content

Plant Parameters

Root Biomass (g·m⁻²)

Rice Biomass

Simulation Days

Model Parameters

α₀ (Substrate Supply 1)

0.001 0.027 0.1

α₁ (Substrate Supply 2)

0.0001 0.002 0.01

Oxidation Coefficient

0.2 0.55 0.9

Transport Coefficient

0.3 0.7 1.0

Redox Coefficient

1.0 1.7 3.0

Nitrogen Exponent

0.1 0.3 0.5

Model Calibration

Calibration Settings

Population Size

Max Iterations

Strategy

Use Default Parameter Bounds

Calibration Progress

Calibration not yet run

Calibration Results

Results will appear here after calibration

Simulation Results

Methane Emission Over Time

Emission Summary

Daily Average Emission: -

Total Emission (30 days): -

Peak Emission: -

Day of Peak: -

Model Performance

R² Score: -

NSE Score: -

RMSE: -

MAE: -

Detailed Results

Day	Emission (mg·m⁻²·d⁻¹)	Production	Oxidation	Transport
No results available

About CH4MN Model

Model Description

The CH4MN model is a comprehensive process-based model for predicting methane (CH₄) emissions from rice paddies. It incorporates the key biogeochemical processes governing CH₄ production, oxidation, and transport in flooded rice fields.

The model simulates daily CH₄ emissions based on environmental conditions (temperature, pH, redox potential), soil properties (organic matter, moisture), and crop characteristics (root biomass, rice growth stage).

CH4MN has been validated against field measurements from multiple rice-growing regions and shows good performance in capturing seasonal emission patterns and responses to management practices.

Key Processes

Methane production from organic matter decomposition
Methane oxidation in aerobic zones
Plant-mediated transport through aerenchyma
Ebullition and diffusion

Input Requirements

Daily soil and air temperature
Soil pH and redox potential
Soil moisture and organic carbon
Rice growth parameters

References

Zhang, G., et al. (2020). "A process-based model for methane emissions from rice paddies: Model development and validation." Agricultural and Forest Meteorology, 280, 107812.

Li, T., et al. (2018). "Modeling methane emissions from rice fields: A comparison of existing approaches." Global Change Biology, 24(3), 1358-1374.

Wang, Y., et al. (2019). "Improving process-based models of methane emissions from rice paddies with field observations." Biogeosciences, 16(5), 1023-1041.

CH4MN Model

Model Status

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