An integrated optimization approach for weather stations network design: a case study

Accurate and reliable weather forecasting plays a crucial role in supporting decision-making and resource management across multiple sectors, particularly in agriculture and transportation. To enhance forecasting capabilities, this study develops an integrated and optimized meteorological station ne...

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Veröffentlicht in:Theoretical and applied climatology Jg. 156; H. 6; S. 334
Hauptverfasser: Sadeghi, Mohammad, Yaghoubi, Saeed, Nemati, Sajedeh, Arefi, Sara
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Vienna Springer Vienna 01.06.2025
Springer Nature B.V
Schlagworte:
Airports
Aquatic Pollution
Atmospheric conditions
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Case studies
climate
Climate change
Climate variations
Climatic conditions
Climatology
Data envelopment analysis
Decision making
Earth and Environmental Science
Earth Sciences
Efficiency
Fault lines
Integer programming
Iran
Linear programming
Mathematical analysis
Network design
Optimization models
Parameters
Resource management
topographic slope
transportation
Waste Water Technology
Water Management
Water Pollution Control
Weather
Weather forecasting
Weather stations
Iran
United States > US
Weather stations network design
Hierarchical maximum covering
ɛ-constraint
Lagrangian relaxation
Data envelopment analysis
ISSN:0177-798X, 1434-4483
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Zusammenfassung:Accurate and reliable weather forecasting plays a crucial role in supporting decision-making and resource management across multiple sectors, particularly in agriculture and transportation. To enhance forecasting capabilities, this study develops an integrated and optimized meteorological station network that simultaneously addresses optimal placement and comprehensive weather parameter monitoring and managerial aspects. In so doing, this paper develops a bi-objective integer linear programming model for designing a network of meteorological centers, which incorporates not only atmospheric conditions, but also integrates efficiency assessment of weather stations according to their locations, prevailing climatic conditions and need for different stations for each climate, climatic variations across provinces and managerial aspects, and device (sensor) allocation to station in order to measure required weather parameters. As this paper aims to contribute in providing a thorough framework and cover most of the weather station related decisions and considerations, the decision-making process is carried out through a two phase procedure. First phase is the efficiency assessment phase, which potential locations of stations are valuated using Data Envelopment Analysis (DEA) based on factors such as terrain slope, population, and distance from airports, fault lines, and industrial centers. A bi-objective mathematical optimization model which covers the other related considerations and decisions, is developed in second phase. This model balances system efficiency with cost considerations as the objectives beside providing the integrated station network. Due to model complexity, an ε-constrained method converts it into a single-objective form, and Lagrangian relaxation ensures scalability. Finally, to demonstrate the practical applicability of this model, a case study from Iran is presented. 
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ISSN:0177-798X
1434-4483
DOI:10.1007/s00704-025-05534-8