An adaptive discretization algorithm for the design of water usage and treatment networks

2018 ◽  
Vol 20 (2) ◽  
pp. 497-542 ◽  
Author(s):  
Arie M. C. A. Koster ◽  
Sascha Kuhnke
Networks ◽  
1995 ◽  
Vol 26 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Andrew B. Philpott ◽  
Mark Craddock

2014 ◽  
Vol 38 (11) ◽  
pp. 1214-1225 ◽  
Author(s):  
DAI Yue ◽  
◽  
ZHENG Xin-Jun ◽  
TANG Li-Song ◽  
and LI Yan

2016 ◽  
Vol 2016 (12) ◽  
pp. 5788-5815
Author(s):  
Eliza Jane Whitman ◽  
Flor Burrola ◽  
Edward Arrington ◽  
Ray Soloman ◽  
Lenise Marrero
Keyword(s):  

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Trey Dronyk-Trosper ◽  
Brandli Stitzel

AbstractAs water rights and water usage become an ever more important part of municipalities’ and states’ way of life, it becomes important to understand what policies can be effective for encouraging conservation of water. One method that has been employed at various times and throughout numerous communities is to limit outdoor watering days. We use a dataset with over 3 million property-month observations during the 2007–2015 period in Norman, Oklahoma, to identify whether the periodic implementation of mandatory water restrictions reduces water usage. Our data allow us to exploit variance in the timing of these water restriction programs. Our findings indicate that this policy reduces water consumption by 0.7 % of total water consumption. Additionally, we use home assessment prices to identify heterogeneity in this response, finding that high priced homes are more responsive to water use restrictions.


Author(s):  
Tamaryn Menneer ◽  
Zening Qi ◽  
Timothy Taylor ◽  
Cheryl Paterson ◽  
Gengyang Tu ◽  
...  

In response to the COVID-19 outbreak, the UK Government provided public health advice to stay at home from 16 March 2020, followed by instruction to stay at home (full lockdown) from 24 March 2020. We use data with high temporal resolution from utility sensors installed in 280 homes across social housing in Cornwall, UK, to test for changes in domestic electricity, gas and water usage in response to government guidance. Gas usage increased by 20% following advice to stay at home, the week before full lockdown, although no difference was seen during full lockdown itself. During full lockdown, morning electricity usage shifted to later in the day, decreasing at 6 a.m. and increasing at midday. These changes in energy were echoed in water usage, with a 17% increase and a one-hour delay in peak morning usage. Changes were consistent with people getting up later, spending more time at home and washing more during full lockdown. Evidence for these changes was also observed in later lockdowns, but not between lockdowns. Our findings suggest more compliance with an enforced stay-at-home message than with advice. We discuss implications for socioeconomically disadvantaged households given the indication of inability to achieve increased energy needs during the pandemic.


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