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Updated: Sep 12, 2025

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Modeling urban land surface dynamics using Arizona single-layer urban canopy model in Python (ASLUM-Py).

Negar Rahmatollahi1, Yihang Wang1, Ting Sun2

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Journal of Environmental Management
|August 7, 2025
PubMed
Summary

A new urban land surface model, ASLUM-Py, helps test heat mitigation strategies. Urban trees with irrigation are most effective for reducing urban heat and improving ecosystem health.

Keywords:
Climate changeEnvironmental sustainabilityHeat mitigation strategiesLand-atmosphere interactionsUrban canopy models

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Area of Science:

  • Urban ecology
  • Environmental modeling
  • Climate change adaptation

Background:

  • Urban ecosystems face significant environmental challenges due to global climate change.
  • Effective sustainable urban planning requires understanding and managing urban land surface dynamics.

Purpose of the Study:

  • To develop and validate a novel urban land surface model, the Arizona Single-Layer Urban Canopy Model (ASLUM-Py), on the Python platform.
  • To evaluate the efficacy of different heat mitigation strategies in urban environments using the developed model.
  • To identify optimal nature-based solutions for reducing urban heat island effects.

Main Methods:

  • Development of the Arizona Single-Layer Urban Canopy Model (ASLUM) on a Python platform (ASLUM-Py).
  • Simulation of complex urban environmental interactions with user-friendly graphical interfaces.
  • Evaluation of heat mitigation strategies including white roofs, irrigation, and urban trees in Phoenix, Arizona.

Main Results:

  • All tested heat mitigation strategies (white roofs, irrigation, urban trees) effectively reduced land surface temperature.
  • Urban trees, combined with strategic irrigation, emerged as a preferred nature-based solution.
  • The ASLUM-Py model demonstrated its utility in assessing and improving urban heat mitigation strategies.

Conclusions:

  • Strategic urban greening initiatives, particularly urban trees and irrigation, are crucial for combating excessive heat in cities.
  • The ASLUM-Py model provides a valuable tool for urban planners to develop effective strategies for climate change adaptation.
  • Promoting ecological well-being through nature-based solutions enhances the resilience of fast-growing urban areas.