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An integrated budget calculation model for environmental geological mapping.

Gan Luo1, Mingqi Tao1, Wanyi Zhang1

  • 1Development and Research Center, China Geological Survey, Beijing, 100037, China.

Scientific Reports
|March 3, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a multidimensional budget model for environmental geological mapping, improving resource allocation and survey quality. The new model significantly reduces budget deviations, enhancing efficiency in geological surveys.

Keywords:
Budget standardCost modelEnvironmental geological mappingQuota calculation

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Area of Science:

  • Geological Sciences
  • Environmental Science
  • Resource Management

Background:

  • Environmental geological mapping is crucial for national geological surveys.
  • Current budgeting standards lack scientific rigor, impacting resource allocation and survey quality.
  • Efficient budgeting is essential for optimizing geological mapping endeavors.

Purpose of the Study:

  • To develop a multidimensional budget calculation model for 1:50,000 environmental geological mapping.
  • To integrate cost-quota theory and engineering economics principles for accurate budgeting.
  • To enhance resource allocation efficiency and ensure high survey quality in geological endeavors.

Main Methods:

  • Developed a four-phase methodology: data collection, quota determination, model development, and empirical validation.
  • Extracted productivity metrics (work efficiency, personnel, materials, equipment, transport) from 12,843 field logs.
  • Applied cost-quota theory and engineering economics (quantity-price-cost) with dual-dimensional adjustments for geological complexity and regional costs.

Main Results:

  • The proposed model computes theoretical budget values refined by geological complexity and regional cost coefficients.
  • Empirical validation demonstrated reduced budget deviations to below 3% (2.1%, 1.7%, 2.5%) across different geological settings.
  • The model significantly outperforms traditional budgeting approaches in accuracy and reliability.

Conclusions:

  • The study provides a scalable, scientifically grounded framework for budget management in geological surveys.
  • The model offers substantial practical implications for optimizing fiscal resource allocation.
  • Implementation promotes standardization and enhances overall efficiency within the geological survey industry.