Water wise – a digital water solution for smart cities and water management entities

Figueiredo, Inês; Esteves, Paulo Augusto; Cabrita, Paulo

doi:10.1016/j.procs.2021.01.245

Cited by 22 publications

(5 citation statements)

References 2 publications

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“…Furthermore, the consistent presence of Machine-Learning (ML) applications in various research works underlines the rise of these techniques in the digital transformation of urban planning. For example, in [157], the efficient management of water distribution networks is enhanced by predictive analyses supported by ML techniques. These approaches not only provide valuable insights but also demonstrate the ability to anticipate complex challenges and shape the future of sustainable urban management.…”

Section: Reviewing Data-driven Smart-city Approachesmentioning

confidence: 99%

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Costa,

Bittencourt,

Oliveira

et al. 2024

Sustainability

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In recent years, the concept of smart cities has become increasingly important in the pursuit of sustainable development goals. In general, common urban challenges have been addressed through smart-city services, and new perspectives for more sustainable cities have emerged. To realize the full potential of such smart urban environments, geospatial approaches have been used as a focal point, offering a plethora of applications that contribute to a better understanding of urban challenges and innovation potentials. Nevertheless, although significant progress has been made, different problems may arise when the available technologies and resources are not understood or even when their potentialities are not properly capitalized. This article reviews the state of the art in the field, highlighting success cases and remaining challenges in exploiting geospatial data-driven strategies, particularly when leveraging geographic information systems, satellites, and distributed sensors to produce and process geospatial data and datasets in urban scenarios. Moreover, a more organized perspective of the area is provided in this article, as well as future development trends, supporting new research efforts in this area when empowering smart cities for a more sustainable future.

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Section: Reviewing Data-driven Smart-city Approachesmentioning

confidence: 99%

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Costa,

Bittencourt,

Oliveira

et al. 2024

Sustainability

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“…Some of the research that has been discussed in this category includes [2], [3], [29], [42], [45], as well as additional research conducted by [21], [47]. This research has successfully developed the intelligent city concept by adopting Information Technology (IT), especially the Internet of Things (IoT), as a key technology.…”

Section: Internet Of Things (Iot) On Smart Citiesmentioning

confidence: 99%

Mapping Information Technology Adoption in Smart Cities: A Literature Review and Research Themes

Hadian

2023

jiko

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In the growing digital era, Information Technology (IT) has created major breakthroughs in various fields, before finally playing a significant role in the Smart City (SC) concept as has been proven in many studies. Previous studies have shown that IT implementation in SC varies greatly as it has to be customized to the SC domain. Thus, it is necessary to map the feasible IT adoption for each SC domain. Here, we conducted a literature review and found several research themes of IT adoption in SC. Our findings include: (i) IT adoption in SC, and (ii) SC domains. In this study, a literature review was conducted manually on journals that examined IT adoption in SC and SC domains. The extraction and synthesis process results identified several research themes, including Geographic Information Systems, Internet of Things (IoT), Big Data Analytics, and Wireless Sensor Networks. Research questions are posed in each theme, which can be helpful to insights for future research.

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“…In [63], the authors presented a model for monitoring and controlling a remote water distribution system in a smart city by deploying a WaterWise digital water solution. The proposed model consists of several phases ranging from acquiring the data and application management.…”

Section: Usage Of Iot and Artificial Intelligence For Effective Water...mentioning

confidence: 99%

Smart Water Resource Management Using Artificial Intelligence—A Review

Somayaji

Nallakaruppan²,

Chengoden³

et al. 2022

Sustainability

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Water management is one of the crucial topics discussed in most of the international forums. Water harvesting and recycling are the major requirements to meet the global upcoming demand of the water crisis, which is prevalent. To achieve this, we need more emphasis on water management techniques that are applied across various categories of the applications. Keeping in mind the population density index, there is a dire need to implement intelligent water management mechanisms for effective distribution, conservation and to maintain the water quality standards for various purposes. The prescribed work discusses about few major areas of applications that are required for efficient water management. Those are recent trends in wastewater recycle, water distribution, rainwater harvesting and irrigation management using various Artificial Intelligence (AI) models. The data acquired for these applications are purely unique and also differs by type. Hence, there is a dire need to use a model or algorithm that can be applied to provide solutions across all these applications. Artificial Intelligence (AI) and Deep Learning (DL) techniques along with the Internet of things (IoT) framework can facilitate in designing a smart water management system for sustainable water usage from natural resources. This work surveys various water management techniques and the use of AI/DL along with the IoT network and case studies, sample statistical analysis to develop an efficient water management framework.

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Water wise – a digital water solution for smart cities and water management entities

Cited by 22 publications

References 2 publications

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Achieving Sustainable Smart Cities through Geospatial Data-Driven Approaches

Mapping Information Technology Adoption in Smart Cities: A Literature Review and Research Themes

Smart Water Resource Management Using Artificial Intelligence—A Review

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