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Dean C. J. Rice, Rupp Carriveau, David S. -K. Ting and Mo?tamad H. Bata
Forecasting crop water demand is a critical part of any greenhouse?s day-to-day operations. This study focuses on a region located in Essex County, Ontario Canada where water demand is dominated by commercial greenhouse operations (78% of capacity). Deve...
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Maria Fernanda Reyes, Nemanja Trifunovic, Saroj Sharma, Kourosh Behzadian, Zoran Kapelan and Maria D. Kennedy
Santa Cruz Island (Galápagos Archipelago), like many other tourist islands, is currently experiencing an exponential increase in tourism and local population growth, jeopardizing current and future water supply. An accurate assessment of the future water...
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Maria Fernanda Reyes, Nemanja Trifunovic, Saroj Sharma, Kourosh Behzadian, Zoran Kapelan, Maria D. Kennedy
Pág. 1 - 20
Santa Cruz Island (Galápagos Archipelago), like many other tourist islands, is currently experiencing an exponential increase in tourism and local population growth, jeopardizing current and future water supply. An accurate assessment of the future water...
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Yuebing Xu, Jing Zhang, Zuqiang Long, Hongzhong Tang and Xiaogang Zhang
Effective and accurate water demand prediction is an important part of the optimal scheduling of a city water supply system. A novel deep architecture model called the continuous deep belief echo state network (CDBESN) is proposed in this study for the p...
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
The stochastic nature of water consumption patterns during the day and week varies. Therefore, to continually provide water to consumers with appropriate quality, quantity and pressure, water utilities require accurate and appropriate short-term water de...
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Érico Soares Ascenção, Fernando Melo Marinangelo, Carlos Frederico Meschini Almeida, Nelson Kagan and Eduardo Mário Dias
Issues such as climate change, water scarcity, population growth, and distribution losses have stimulated the use of new technologies to manage water resources. This is how the concept of smart water management emerged as a subcategory of the concept of ...
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Donghyun Kim, Sijung Choi, Sungkyu Kang and Huiseong Noh
Drought has significant impacts on both society and the environment, but it is a gradual and comprehensive process that affects a region over time. Therefore, non-structural measures are necessary to prepare and respond to the damage caused by drought in...
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Salah L. Zubaidi, Sandra Ortega-Martorell, Hussein Al-Bugharbee, Ivan Olier, Khalid S. Hashim, Sadik Kamel Gharghan, Patryk Kot and Rafid Al-Khaddar
The proper management of a municipal water system is essential to sustain cities and support the water security of societies. Urban water estimating has always been a challenging task for managers of water utilities and policymakers. This paper applies a...
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Amos O. Anele, Ezio Todini, Yskandar Hamam and Adnan M. Abu-Mahfouz
In a previous paper, a number of potential models for short-term water demand (STWD) prediction have been analysed to find the ones with the best fit. The results obtained in Anele et al. (2017) showed that hybrid models may be considered as the accurate...
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Sadeq Khaleefah Hanoon, Ahmad Fikri Abdullah, Helmi Z. M. Shafri and Aimrun Wayayok
Climate change, population growth and urban sprawl have put a strain on water supplies across the world, making it difficult to meet water demand, especially in city regions where more than half of the world?s population now reside. Due to the complex ur...
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Biagio Saya and Carla Faraci
In the hydraulic construction field, approximated formulations have been widely used for calculating tank volumes. Identifying the proper water reservoir volumes is of crucial importance in order to not only satisfy water demand but also to avoid unneces...
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Yurui Zhang, Zhiyong Duan, Anzhe Yi, Jiaqi Hu and Yanhu Chen
This paper presents a soft measurement technique for COD (Chemical Oxygen Demand) based on the multiparameter coupling analysis method. First, through mechanism analysis and correlation analysis of historical data during the measurement process, water qu...
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Xiaoyu Gao, Meng Jia, Shanshan Cao and Chengying Qi
The refined control of heating substations is of great significance for on-demand heating provision and for the efficient operation of district heating systems (DHSs). This paper proposes an integrated control strategy for substations based on the predic...
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Eunjeong Lee and Taegeun Kim
The water quality of the Dongjin River deteriorates during the irrigation period because the supply of river maintenance water to the main river is cut off by the mass intake of agricultural weirs located in the midstream regions. A physics-based model a...
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Andrea Menapace, Ariele Zanfei and Maurizio Righetti
The evolution of smart water grids leads to new Big Data challenges boosting the development and application of Machine Learning techniques to support efficient and sustainable drinking water management. These powerful techniques rely on hyperparameters ...
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Tyler J. Carleton and Steven R. Fassnacht
Transbasin diversions and dams allow for water uses when and where there is high demand and low supply, but can come with an expense to the environment. This paper presents a linkage of hydrologic and hydraulic modeling and datasets to assess the hydrolo...
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Md Sahidul Islam
Pág. 22
Security measures of water resources are analysed in most countries in the Asia pacific region. The purpose of this study is to investigate and overview the water crisis in Asian countries, as well as predict the crisis in the following years. Numerical ...
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Siyu Chen, Guohua Fang, Xianfeng Huang and Yuhong Zhang
Prediction of water quality which can ensure the water supply and prevent water pollution is essential for a successful water transfer project. In recent years, with the development of artificial intelligence, the backpropagation (BP) neural network has ...
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Fan Zhang, Qian Tan, Chenglong Zhang, Shanshan Guo and Ping Guo
To optimize the water distribution of three industries based on the water demand prediction under multiple uncertainties, a fuzzy credibility-constrained interval two-stage stochastic programming (FCITSP) model base on the Cobb-Douglas production (CD) fu...
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