City Water Design

Welcome to OCEAN 

OCEAN is an experiment to use Silkapp to connect : 'big water data' with 'local water rights' AND 'water innovation design' solutions. The goal is for a data journalist / student in urban innovation to fast make a page to show what could be a design solution for water problem A, with people B and innovation C. 

Context

Each minute 42 people enter a city looking for a bed. 

Each minute a family of 4 : "Hello receptionist, do you have a room available?"

This means 15.120 new rooms a day need to be build on the planet, 

in the 366 fastest growing cities between 2006 and 2020.

Below a map on how many NEW beds in India Region need to be installed :

Human Water Right

To respect the Human Drinking Water right for the next 10 years, the 366 world growth cities have to find together every day a DESIGN giving 302.400 liters off fresh water a day, just for the newcomers.  

We collected from 366 cities the data and on average they have to find 1.1 billion liters EXTRA water a year. For Drinking, Cooking, Washing and Flushing. 

We don't talk about food. 

Below the India region where DAILY NEW fresh water needs to be found; 

Approach

On the internet you can find huge numbers on what governments need to negotiate for and systems to be planned. We take a different approach, hopefully one day they resonate. 

On purpose we take the daily liters to be extra found, as we cannot wrap our mind around huge numbers to act upon. Our water data is simply based on how many people enter a city and the right the have on water. This is where the water 'design adventure' starts.

Meet Tymus, he is a water design graduate. 

Tymus lives in Nagpur and wakes up every day with the purpose to find a way to get 871 liters off new drinking water in the city. Every day the same routine. Every day he has to come up with a solution which is both fast and affordable. He has to think off a solution and give it to the daily newcomers so they can get every day for as long as they live 871 liters off fresh drinking water just for them. 

Plan like human culture

Our designer in Nagpur doesn't know what to do. How to design a system which will give 871 liters of water every day, at no labor costs. He is thinking about scale, a huge system, which takes care of 1.160.170.750 liters water a year, which he can build one on the edge off the city every year. Than the city can keep up with the demand. 

Document
washing water (l)
flushing water (l)
cooking water (l)
extra drinking water needed on top off previous day (liters)
Nagpur261334831742871

Design like nature

"No", says a voice in Tymus sleep, "You can design one, you just do not know how yet". There are a zillion water innovations on the planet, you 'just' have to connect the dots to once show it is possible to... 

Catch 8709 liters of rain water and the ability to keep on generating from that 871 liters of Drinking water, 1742 liters Cooking water, 2613 liters of Washing water and 3483 liters of Flushing water. 

"Now... where are those innovations?"

Acknowledgement : 

This article is a test, yet the data is sourced from official data bodies. Many more articles can be made based on the data. 

The amount of water is based on the right to water, not what people in reality have access too, this is done on purpose. We have to design from human rights, if that is under control, than we can design for human plans.

Some other data we connected :

366 fastest growing places on the planet

Population growth from 2006 to 2020

Document
14 years growth
Document
Aachen10000Aachen
Abidjan1490000Abidjan
Accra1020000Accra
Adana350000Adana
Addis Ababa1780000Addis Ababa
Adelaide100000Adelaide
Agra780000Agra
Ahmadabad2440000Ahmadabad
Aleppo1020000Aleppo
Alexandria, eg960000Alexandria, eg
Algiers1560000Algiers
Allahabad400000Allahabad
Amman430000Amman
Amritsar580000Amritsar
Amsterdam100000Amsterdam
Ankara1160000Ankara
Anshan60000Anshan
Antananarivo1250000Antananarivo
Asansol700000Asansol
Asunción990000Asunción
Athens140000Athens
Atlanta1970000Atlanta
Auckland220000Auckland
Austin520000Austin
Baghdad2350000Baghdad
Baixada Santista450000Baixada Santista
Baku160000Baku
Baltimore290000Baltimore
Bamako1210000Bamako
Bandung2040000Bandung
Bangalore3170000Bangalore
Bangkok1110000Bangkok
Baotou170000Baotou
Barcelona90000Barcelona
Barranquilla670000Barranquilla
Basra380000Basra
Beihai4400000Beihai
Beijing300000Beijing
Beirut600000Beirut
Belém1020000Belém
Belo Horizonte1730000Belo Horizonte
Bhopal770000Bhopal
Bielefeld20000Bielefeld
Bogotá2280000Bogotá
Boston710000Boston
Brasília1770000Brasília
Brazzaville680000Brazzaville
Brisbane380000Brisbane
Bucaramanga390000Bucaramanga
Buenos Aires1960000Buenos Aires
Bursa700000Bursa
Cairo2730000Cairo
Calcutta3970000Calcutta
Calgary410000Calgary
Cali990000Cali
Campinas1050000Campinas
Cape Town710000Cape Town
Caracas460000Caracas
Casablanca1260000Casablanca
Changchun710000Changchun
Changde370000Changde
Changsha990000Changsha
Chengdu620000Chengdu
Chennai (Madras)1840000Chennai (Madras)
Chicago1040000Chicago
Chifeng190000Chifeng
Chittagong3500000Chittagong
Chongqing1140000Chongqing
Cincinnati210000Cincinnati
Ciudad Juárez630000Ciudad Juárez
Cleveland170000Cleveland
Coimbatore690000Coimbatore
Cologne, Bonn50000Cologne, Bonn
Columbus, Ohio230000Columbus, Ohio
Conakry970000Conakry
Copenhagen30000Copenhagen
Córdoba410000Córdoba
Curitiba1040000Curitiba
Dakar1260000Dakar
Dalian290000Dalian
Dallas, Fort Worth1110000Dallas, Fort Worth
Damascus750000Damascus
Daqing140000Daqing
Dar es Salaam2310000Dar es Salaam
Davao580000Davao
Delhi9830000Delhi
Denver-Aurora580000Denver-Aurora
Detroit300000Detroit
Dhaka8950000Dhaka
Dhanbad500000Dhanbad
Dortmund, Bochum40000Dortmund, Bochum
Douala930000Douala
Dublin150000Dublin
Durban470000Durban
Düsseldorf, Essen130000Düsseldorf, Essen
East Rand (Ekurhuleni)1590000East Rand (Ekurhuleni)
Esfahan540000Esfahan
Faisalabad1510000Faisalabad
Faridabad1180000Faridabad
Fortaleza1040000Fortaleza
Frankfurt, Wiesbaden50000Frankfurt, Wiesbaden
Fukuoka, Kitakyushu200000Fukuoka, Kitakyushu
Fushun70000Fushun
Fuyu150000Fuyu
Fuzhou, Fujian40000Fuzhou, Fujian
Ghaziabad1400000Ghaziabad
Goiânia770000Goiânia
Grande Vitória560000Grande Vitória
Guadalajara610000Guadalajara
Guangzhou90000Guangzhou
Guayaquil950000Guayaquil
Guiyang560000Guiyang
Gujranwala930000Gujranwala
Hai Phong610000Hai Phong
Hamburg30000Hamburg
Handan410000Handan
Hangzhou600000Hangzhou
Hannover10000Hannover
Hanoi1560000Hanoi
Harare420000Harare
Harbin40000Harbin
Havana10000Havana
Hefei260000Hefei
Helsinki130000Helsinki
Heze890000Heze
Ho Chi Minh City1690000Ho Chi Minh City
Hong Kong1050000Hong Kong
Houston1100000Houston
Huaian220000Huaian
Huainan230000Huainan
Huzhou100000Huzhou
Hyderabad700000Hyderabad
Ibadan860000Ibadan
Inch'on360000Inch'on
Indianapolis390000Indianapolis
Indore1190000Indore
Istanbul2760000Istanbul
Izmir810000Izmir
Jabalpur450000Jabalpur
Jaipur1870000Jaipur
Jakarta7100000Jakarta
Jamshedpur550000Jamshedpur
Jidda1980000Jidda
Jilin210000Jilin
Jinan310000Jinan
Jingmen260000Jingmen
Jining, Shandong280000Jining, Shandong
Jinxi420000Jinxi
Johannesburg1230000Johannesburg
Kabul3130000Kabul
Kaduna530000Kaduna
Kampala1030000Kampala
Kano1130000Kano
Kanpur1310000Kanpur
Kansas City180000Kansas City
Kaohsiung160000Kaohsiung
Karachi6740000Karachi
Karaj550000Karaj
Khartoum1830000Khartoum
Khulna870000Khulna
Kinshasa4150000Kinshasa
Kochi (Cochin)410000Kochi (Cochin)
Kuala Lumpur330000Kuala Lumpur
Kunming170000Kunming
Kuwait City210000Kuwait City
Kwangju220000Kwangju
La Paz450000La Paz
Lagos9810000Lagos
Lahore3530000Lahore
Lanzhou210000Lanzhou
Las Vegas1100000Las Vegas
León400000León
Leshan130000Leshan
Lille60000Lille
Lima1970000Lima
Linyi350000Linyi
Lisbon110000Lisbon
Liuan, cn670000Liuan, cn
Liupanshui330000Liupanshui
Los Angeles1030000Los Angeles
Luanda2120000Luanda
Lubumbashi850000Lubumbashi
Lucknow1220000Lucknow
Ludhiana710000Ludhiana
Luoyang490000Luoyang
Lusaka510000Lusaka
Lyon110000Lyon
Maceió540000Maceió
Madrid220000Madrid
Madurai220000Madurai
Managua520000Managua
Manaus830000Manaus
Mannheim, Heidelberg20000Mannheim, Heidelberg
Maputo850000Maputo
Maracaibo790000Maracaibo
Maracay360000Maracay
Marseille, Aix-en-Provence70000Marseille, Aix-en-Provence
Mashhad550000Mashhad
Mecca670000Mecca
Medan820000Medan

Another one : From the 366, the cities off which will DOUBLE or more in population between 2006 and 2020 : 

Note 1 : As the data is from a reliable source, I think some places also double in population because smaller cities merging into the mother city. 

Note 2 : First seeing this map I thought there is something wrong with the data; no balloons on China... And a zillion on India. However in retrospect, China has birth control, so maybe the cities really are not doubling in size till 2020. 

Last one, 9 European Continent cities growing more than 10% until 2020

( Below percentages are intrinsic to the 9 division, not the growth % )

FOR THE CURIOUS : When you look at the top right corner off a map, you see "EXPLORE". Clicking on it opens the Silk Visualization box. 

- Change the range 49-101 percent to see other growth rates

- pick a different tag to visualize that tag, refine/filter what you like.

- choose a different data template to see a circle diagram or others. 

Background

Global data and local data need to come together. As these maps do not exist, I started to mash some online data from UN etc together.

I am trying out Silkapp for this, as the toolset looks promising! In the future I want to be able to work also with locals to go from Macro maps to micro (even nano) maps collaboration. Useful for neighborhood co-creation development. 

Above a first experiment, water is the focus.


Reset page Delete page
Are you sure you want to reset the homepage?Are you sure you want to delete this page ? Cancel ResetDelete