Prediction of Irrigation Water Demandby Green Spaces in Resource-based Water Scarce Cities:A Case Study of Green Spaces in the City Core of Tianjin
In order to estimate the green spaces'demand for irrigation water in resources-based water scarce city and provide science-based guidance on future planning for green spaces,water resources management and water security in urban areas,the paper takes Tianjin,a city much challenged by particularly prominent contradictions between the water demand of green spaces and the water supply,as the case study,to evaluate the irrigation water demand of green spaces using climatological methods and analyze the impact of climate change and the proportion of plants in green spaces on irrigation water demand using the scenario simulation method.The results show that the green spaces in Tianjin pose the largest demand for water from May to July,accounting for 46%of the annual water demand,and the difference between water demand and precipitation in April and May is large,which needs the artificial water replenishment.The annual water demand of green spaces in the built-up areas of Tianjin has been increasing year by year.The water demand in 2020 is 806,000 m3,and it is predicted that the water demand in 2030 will be almost doubled to 1.55 million m3,which will aggravate the water pressure in Tianjin.Among the typical types of green spaces in Tianjin,park green spaces have the largest demand for irrigation water,and arbor-shrub dominated green spaces have obviously less demand for water than turf dominated green spaces.Hence,to address the water shortage in cities,the turf landscape should be avoided in the landscape configuration design for urban green spaces,and the irrigation water demand of green spaces under different plant configuration models should be estimated before the irrigation.
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