Greening cities is of considerable significance to creating sustainable cities. Cost-benefit analyses have shown that urban green is not only ecologically and socially desirable but also economically advantageous. However, maintaining this urban green is becoming challenging due to changing climatic conditions. With frequent heat-waves, droughts and increasing water scarcity in many regions, it is crucial to establish systematic approaches to economise the available water used for irrigation. Currently, cities rely on rough approximations to assess irrigation demand. To address this gap, a linear time series model was developed based on soil water balance and Water Use Classifications of Landscape Species approach. The model uses publicly available data regarding trees, soil, and current and forecasted weather to estimate the irrigation demand of urban street trees on a weekly time scale. The developed model is applied in a case study of a metropolis in a moderate continental climate. The results show more distributed irrigation demand than the currently implemented soil moisture based model of the case study city. Accordingly, the model can support the decision-makers to not only assess the irrigation demand of existing trees but also help in water budgeting of new plantation under varying climatic conditions.

绿化城市对于创建可持续发展的城市具有重要意义。成本效益分析表明，城市绿化不仅在生态和社会方面具有可取性，而且在经济上也具有优势。然而，由于气候条件的变化，保持这种城市绿化变得越来越具有挑战性。由于许多地区经常发生热浪、干旱和日益严重的水资源短缺，因此建立系统的方法来节约用于灌溉的可用水资源至关重要。目前，城市依靠粗略估计来评估灌溉需求。为了解决这一差距，基于土壤水分平衡和景观物种用水分类方法开发了一个线性时间序列模型。该模型使用有关树木、土壤、以及当前和预报的天气，以估计每周时间尺度的城市行道树的灌溉需求。开发的模型应用于温和大陆性气候下的大都市案例研究。结果表明，与案例研究城市目前实施的基于土壤水分的模型相比，分布式灌溉需求更多。因此，该模型不仅可以支持决策者评估现有树木的灌溉需求，还可以帮助在不同的气候条件下对新种植园进行水资源预算。