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Tracking and tracing water consumption for informed water sensitive intervention through machine learning approach

To develop a water conscious strategy, it is critical to track and trace water from its source to the end users, understand water conservation behaviors, and identify the factors that influence water consumption. However, in developing nations, little research has been done to provide a quantitative picture of how water is consumed and transformed in urban households, as well as the water sensitive interventions needed to improve access to clean water. Hence, the main objective of the study was to determine the most significant residential water consumption variables and to predict residential water consumption in a way that can generate water consumption information for water sensitive intervention decision making using the case study of Adama city in Ethiopia. A combination of top down and bottom up data collection techniques were employed as the data collection instrument. Machine learning was integrated with spatial and socioeconomic analytic techniques to estimate daily household water consumption and identify the factors that significantly influence household water consumption. The results show that there is only “one source option” for the city’s clean water supply and that different water harvesting methods are not likely to be developed. The average daily water consumption per person is 69 liters which falls below the national standard of 80 liters allocated per person per day. The result reveals that the water distribution network covers only 45% of the city master plan. About 38% of the water demand is unmet and 30% of households only receive water once every three days or fewer. This shows that the city is experiencing physical and economic water scarcity. The results demonstrated that family size, housing quality, income, number of rooms, legal status of the parcel, supply reliability, climate, and topographical features are the most important factors in predicting residential water consumption. This study further demonstrates how well supervised machine learning models, such as the Random Forest Regression algorithm, can predict the household’s daily water consumption. The findings also showed that there is a need for significant improvements in water saving habits of the households. Another conclusion that can be drawn is that as long as the city’s business as usual water consumption practice doesn’t change, the water supply problem will worsen over time.

Wallonia , Waals-gewest , Belgium , Malawi , New-york , United-states , Alharsha , Libya-general- , Libya , South-africa , Ethiopia , Qatar

NAB Show to attract attendees from 160 countries from around the globe

With 160 countries represented, NAB Show April 13 to 17, 2024, at the Las Vegas Convention Center, is set to be a global destination for all things

South-korea , Belgium , Nepal , Czech-republic , Mexico , India , Brazil , Germany , China , Egypt , Indonesia , Paris

NAB Show Touts International Impact

Representatives from more than 155 countries are expected to attend the event, April 13-17 in Las Vegas

Indonesia , Czech-republic , South-korea , Mongolia , Mexico , Oman , Canada , United-kingdom , Nepal , Kenya , Costa-rica , Egypt

Taste Trends: Q&A With Sodexo Live!'s Molly Crouch on Sustainable Menus

Taste Trends: Q&A With Sodexo Live!'s Molly Crouch on Sustainable Menus
tsnn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tsnn.com Daily Mail and Mail on Sunday newspapers.

Vietnam , Republic-of , Mexico , Mexican , Vietnamese , Stephan-blaser , Molly-crouch , Orange-county-convention-center , Green-team , Humane-society-international , Earth-month , County-convention-center

Taste Trends: Q&A With Sodexo Live!'s Molly Crouch on Sustainable Menus

Taste Trends: Q&A With Sodexo Live!'s Molly Crouch on Sustainable Menus
tsnn.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from tsnn.com Daily Mail and Mail on Sunday newspapers.

Vietnam , Republic-of , Mexico , Mexican , Vietnamese , Molly-crouch , Stephan-blaser , Humane-society-international , Orange-county-convention-center , Green-team , Earth-month , County-convention-center

Shark spotted just metres from shore at popular Aussie beach

Shark spotted just metres from shore at popular Aussie beach
yahoo.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from yahoo.com Daily Mail and Mail on Sunday newspapers.

Sydney-harbour , New-south-wales , Australia , Sydney , Aussies , Aussie , Lawrence-chlebeck , Lauren-oneill , Gavin-naylor , Yahoo , Florida-museum-of-natural-history , Humane-society-international

Fashion Weak: (Courtney) Love is all you need Womenswear

Fashion Weak: (Courtney) Love is all you need Womenswear
dazeddigital.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from dazeddigital.com Daily Mail and Mail on Sunday newspapers.

China , Mexico-city , Distrito-federal , Mexico , Williamsburg , New-york , United-states , Coachella , California , Hollywood , Brooklyn , West-village

Urgent action required in India to address the widespread stray dog menace!

Only community awareness has the capacity to address the issue in its entirety By Arun Kumar Shrivastav A 55-year-old teacher, Paresh Doshi, filed an FIR against himself after his wife lost her life in a car crash caused by an attempt to save a stray dog. Paresh Doshi and his wife Amita were returning from

Panvel , Maharashtra , India , Banaskantha , Gujarat , Bombay , Mumbai , Vishakha-thakur , Paresh-doshi , Arun-kumar-shrivastav , Ambaji-temple , Youth-organisation-in-defence-of-animals

South Korea's parliament passes ban on production and sales of dog meat | National

South Korea’s parliament has passed a landmark ban on production and sales of dog meat, as public calls for a prohibition have grown sharply over concerns about animal rights and

South-korea , Seoul , Soult-ukpyolsi , China , Indonesia , Vietnam , Republic-of , North-korea , Korea , South-koreans , Jeong-yoon-hee , Kim-keon-hee