Developing an integrated model relating substrate water content to indoor temperature reduction for irrigation-decision support of a green roof

Urban Farm DB summary

This study analyzes how evapotranspiration and substrate moisture variations affect indoor temperature reduction from a green roof, developing two multiple linear regression models: an operation-stage model based on field observations and an integrated planning-stage model combining hydrological and building energy simulations. The operation model achieved RMSE 0.64C and adjusted R2 0.55, the planning model RMSE 1.02C and adjusted R2 0.80, with maximum summer indoor temperature reduction reaching 10.65C and an average of 5-6C.

Only numbers and their conditions are stored, as structured data — never the source's own sentences. Metric and condition names stay in English, as coded.

• 10.65 degC↓ Decrease

  max summer indoor temperature reduction(green roof)

  ClimateControl: 非緑化屋上との比較(モデル推定)

  method

  統合モデル(水文・建築エネルギーシミュレーション)

• 5–6 degC↓ Decrease

  average summer indoor temperature reduction(green roof)

  ClimateControl: 非緑化屋上との比較(モデル推定)
• 0.8

  planning stage model adjusted r2(green roof)

  Climate

  method

  計画段階向け統合モデル

• 0.64 degC

  operation stage model rmse(green roof)

  Climate

  method

  運用段階向け実測ベースモデル

Direction of conclusions

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• Heat islandSupportsWith caveats