نتایج جستجو برای: smart water

تعداد نتایج: 623093  

2013
Saeed Hajebi Hui Song Stephen Barrett Aidan Clarke Siobhán Clarke

Information and Communication Technology (ICT) provides two-way communication, data storing and analysis, sensing and system monitoring, and intelligence such as historical and predictive analytics. Today’s Energy Smart Grid initiative proposes a highly decentralized and flexible energy supply and distribution by taking advantage of ICT infrastructures. In contrast, many water utilities do not ...

Journal: :مدیریت آب و آبیاری 0
جواد رحمانی ثقیه کارشناس ارشد، گروه مهندسی آب، دانشکدۀ کشاورزی، دانشگاه شیراز، شیراز – ایران. علی قائمی دانشیار، گروه مهندسی آب، دانشکدۀ کشاورزی، دانشگاه شیراز، شیراز - ایران

the accuracy and effectiveness of precision agriculture is highly depending on accuracy and time analysis of the soil moisture conditions. monitoring of the soil water status is a proper method for optimizing the agricultural irrigation. automation irrigation, based on soil moisture measurement by smart sensors has the potential to provide maximum water use efficiency by maintaining soil moistu...

Journal: :Journal of Environmental Economics and Management 2021

Understanding the effectiveness of alternative approaches to water conservation is imperative for ensuring security and reliability services urban residents. We analyze data from one longest-running “cash grass” policies – Southern Nevada Water Authority's Smart Landscapes program where homeowners are paid replace grass with desert landscaping. use a sixteen year long panel dataset monthly cons...

Journal: :CoRR 2017
Matthew Bartos Brandon P. Wong Branko Kerkez

Leveraging recent advances in technologies surrounding the Internet of Things, “smart” water systems are poised to transform water resources management by enabling ubiquitous real-time sensing and control. Recent applications have demonstrated the potential to improve flood forecasting, enhance rainwater harvesting, and prevent combined sewer overflows. However, adoption of smart water systems ...

Journal: :international journal of environmental research 2010
k.s. jeong d.k. kim h.s. shin h.w. kim h. cao

in this study a machine learning algorithm was applied in order to develop a predictive model for the changes in phytoplankton biomass (chlorophyll a) in the lower nakdong river, south korea. we used a “hybrid evolutionary algorithm (hea)” which generated model consists of three functions ‘if-thenelse’ on the basis of a 15-year, weekly monitored ecological database. we used the average ...

Journal: :International Journal for Research in Applied Science and Engineering Technology 2019

Journal: :International Journal of Recent Technology and Applied Science 2020

Journal: :Smart Water 2016

Journal: :Journal of Hydroinformatics 2021

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