Water efficiency in smart cities: optimising irrigation for public green spaces

被引:2
|
作者
Gasser, L. [1 ]
Le Gall, F. [1 ]
Abily, M. [2 ,3 ]
机构
[1] EGM, Valbonne, France
[2] Univ Cote Azur, Observ Cote Azur, CNRS, IRD,Geoazur, Nice, France
[3] Catalan Inst Water Res ICRA, Girona, Spain
关键词
IOT; NBS; urban planning; interoperability; FIWARE framework; MANAGEMENT;
D O I
10.1080/27678490.2023.2294076
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Greening initiatives are urban planning strategies that rely on the development of public green spaces supporting multiple urban system functions. In a global water scarcity context, however, green space irrigation is a key aspect. Dynamic optimisation of irrigation plans is one viable answer for water consumption mitigation, which is not widely implemented at municipal levels in the EU. Yet, hydroinformatics-based mature and market-ready methods and technologies can support its implementation and should allow its embedment within the smart-city concept. Here, a simple interoperable approach for optimisation of dynamic irrigation planning has been implemented in public green space parcels of a French Mediterranean coastal city. The approach relies on smart sensors, a water balance model, an optimisation algorithm, and weather forecast data integration, all encapsulated in the standardised and open-source FIWARE ecosystem. The results of the dynamic irrigation plan led to a 35% water saving during the dry season and to more than 60% water saving during the dry-wet season transition period. The used standard technologies and approach could fit a broad range of smart-city digital platforms without any technical challenge. {Graphical abstract}
引用
收藏
页数:10
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