Genetic Optimisation Urban Influence

The widespread problem of water pollution is jeopardizing our health. Unsafe water kills more people each year than war and all other forms of violence combined. Meanwhile, our drinkable water sources are finite: Less than 1 percent of the earth’s freshwater is actually accessible to us. Without action, the challenges will only increase by 2050, when global demand for freshwater is expected to be one-third greater than it is now.


Drip.Drop is positioned in the interstice here as the future for localising the water filtration systems in our community, bringing water to forefront of pollution discussions.

The process of genetic optimisation gives us a great opportunity to use the existing datasets available with the Barcelona municipality and involve those scenarios into the construction of the Chitosan Filtration Tower.

CartoBCN was the source of the data set.

The concept is to organise the city into zones which have their very water filtration tower, which will help in decentralising the water infrastructure of the city. These zones will be determined by locations where effectively the density is zero and then an area of influence around it. This are of influence will be the sum of densities of different households within this zone.

Evolutionary Optimization Algorithms like Galapagos help here in maximising this density of people within the perimeter. It is drawn from the assumption that higher the density higher the water consumption within that zone.





Computational Design, IAAC 2019-2020

Faculty: Rodrigo Aguirre

Students: Abhishek Sharma, İbrahim Kükner