Numerical solution of the inverse problem of identifying methane consumption rate in soil

Subject of research: a mathematical model of methane consumption in soils. Purpose of research: to develop an algorithm for the numerical solution of the inverse problem of identifying the methane consumption rate in soils. Methods and objects of research: this work addresses the issue of recovering the methane consumption rate in soil based on measured methane concentration data at a set of points. The mathematical model is a second-order ordinary differential equation, and the sought coefficient is the lower-order coefficient in the equation. This equation is based on the MeMo v1.0 model. It is noteworthy that the inverse problem posed had not been theoretically investigated before, and the proposed methods for its solution previously required rather large data sets, unlike the current work. Main results of research: an algorithm for the numerical solution of the problem was obtained, based on the method of steepest descent, which demonstrated good convergence for a set of synthetic data. The error in recovering the methane consumption rate by depth does not exceed 19 %, averaging 16 %. The error in recovering the methane concentration by depth, for a twofold increase in the number of measurement points, is 2.3 %.

Authors

Publication Details

Journal
Yugra State University Bulletin
Published
2024-12-26
DOI
https://doi.org/10.18822/byusu20240474-81
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical solution of the inverse problem of identifying methane consumption rate in soil

S. G. Pyatkov, Julia A. Tukmacheva
Yugra State University Bulletin
Atmospheric and Environmental Gas Dynamics
article

Numerical solution of the inverse problem of identifying methane consumption rate in soil

S. G. Pyatkov, Julia A. Tukmacheva
article en

Abstract

Subject of research: a mathematical model of methane consumption in soils. Purpose of research: to develop an algorithm for the numerical solution of the inverse problem of identifying the methane consumption rate in soils. Methods and objects of research: this work addresses the issue of recovering the methane consumption rate in soil based on measured methane concentration data at a set of points. The mathematical model is a second-order ordinary differential equation, and the sought coefficient is the lower-order coefficient in the equation. This equation is based on the MeMo v1.0 model. It is noteworthy that the inverse problem posed had not been theoretically investigated before, and the proposed methods for its solution previously required rather large data sets, unlike the current work. Main results of research: an algorithm for the numerical solution of the problem was obtained, based on the method of steepest descent, which demonstrated good convergence for a set of synthetic data. The error in recovering the methane consumption rate by depth does not exceed 19 %, averaging 16 %. The error in recovering the methane concentration by depth, for a twofold increase in the number of measurement points, is 2.3 %.

Yugra State University BulletinVol. 20(4)
Life in Land
Openalex Percentile: Top 79%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.