Back to results

Virginia Polytechnic Institute and State University

Stochastic dynamic optimization approach for revegetation of reclaimed mine soils under uncertain weather regime

Abstract

dc:description.abstract

This study presents a comprehensive physically based stochastic dynamic optimization model to assist planners in making decisions concerning mine soil depths and soil mixture ratios required to achieve successful revegetation of mined lands at different probability levels of success, subject to an uncertain weather regime. A perennial grass growth model was modified and validated for predicting vegetation growth in reclaimed mine soils. The plant growth model is based on continuous relationships between plant growth, air temperature, day length, leaf area, photoperiod and plant-soil-moisture stresses. A plant available soil moisture model was adopted to estimate daily soil moisture for mine soils. A general probability model was developed to estimate the probability of successful revegetation in a 5-year bond release period. The probability model considers five possible bond release criteria ir1 mine soil reclamation planning. A stochastic dynamic optimization model (SDOM) was developed to find the optimum combination of soil depth and soil mixture ratios that met the successful vegetation standard under non-irrigated conditions with weather as the only random element of the system. The SDOM was applied for Wise County, Virginia, and the model found that 2:1 sandstone/siltstone soil mixture required the minimum soil depth to achieve successful revegetation. These results were also supported by field data. The developed model allows the planners to better manage lands drastically disturbed by surface mining.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Agricultural Engineering
Department dc:contributor.department
Agricultural Engineering
Grantor dc:publisher
Virginia Polytechnic Institute and State University
Year dc:date.issued
1989

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mustafa, Golam
Chair dc:contributor.committeechair
  • Dillaha, Theo A. III
Committee members dc:contributor.committeemember
  • Daniels, W. Lee
  • Sarin, Subhash C.
  • Mostaghimi, Saied
  • Parker, John C.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/54394
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/54394

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Mustafa, Golam. Stochastic dynamic optimization approach for revegetation of reclaimed mine soils under uncertain weather regime. doctoral thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54394