Aquifers feel there pressure of increasing populations and farms; as a result, cities around the world get drastically close to running out of water. The solution in some places may have been under our noses the entire time: fog. In Lima they already have a system in place to capture water from fog to supplement existing sources, and other coastal cities are paying attention. The coolest part of the fog catching technology is that it comes from ancient techniques using tees!
In 2009, German conservationists Kai Tiedemann and Anne Lummerich planted 800 she-oak trees in Peru to create a natural fog-catching system that aimed to replicate this ancient technique. During their research they found that trees with vertical, needle-like leaves work as an organic net to which drops of water adhere. They later went on to develop artificial nets that could also capture water.
Marzol has been studying “the hidden precipitation” in fog for nearly 25 years now, partly because modern meteorological instruments struggle to measure its relationship with precipitation. During the course of her research she has witnessed the social transformation that can occur in communities that collect fog water.
When it rains cities should hold all the water. In the 20th century that idea would have been laughed out of the room; today, we know better. Urban water management is vital to a healthy city, ecosystem, and flood mediation. The old idea of building giant channels of concrete to force water out of their natural areas (the best example of this is in L.A.) is thankfully being replaced with better ideas.
One of those better water management ideas is to just soak it all up. Make the city a sponge.
The second is through the flow, where instead of trying to channel water away quickly in straight lines, meandering rivers with vegetation or wetlands slow water down – just like in the creek that saved his life.
This has the added benefit of creating green spaces, parks and animal habitats, and purifying the surface run-off with plants removing polluting toxins and nutrients.
The third is the sink, where the water empties out to a river, lake or sea. Prof Yu advocates relinquishing this land and avoiding construction in low-lying areas. “You cannot fight the water, you have to let it go,” he says.
Water scarcity is a real problem in Mexico City, and due to existing gender inequality women bare the brunt of the costs of a lack of water. This manifests itself in everything from laundry to buying potable water, both are time consuming endeavours in places with water scarcity. Mexico City launched a program a few years ago to naturalize rain water collection while also enhancing their rain barrel water collection for homes. These changes combined have had a very positive impact on water usage and gender equality in the city.
The program helps install rainwater harvesting systems, which capture the rain that falls on roofs of houses. Water is stored in a cistern, which can then be used for domestic purposes. It can also be used as drinking water if given additional treatment. These systems can provide a family with water forbetween five to eight monthsof the year.
Byprioritizing householdsheaded by women, single mothers, indigenous people, older adults and people with disabilities, the program aims to improve equity across the board. To date, more than 13,000 female heads of household have benefited â€” comprising around 65% of installed rainwater harvesting systems.
For years engineers tried to prevent flooding, then they realized they can’t stop nature. Now instead of trying to stop it, we try to mitigate flooding by creating spaces that can absorb a lot of water (parks along rivers are an example of this). Still, these attempts don’t always work and with increasing instability in our climate it’s getting harder to deal with more extreme flooding instances. This is where a new startup, Floodmapp, fits in. They are using machine learning and AI to improve how we understand flooding instead of the traditional physics-driven modelling.
The companyâ€™s premise is simple: We have the tools to build real-time flooding models today, but we just have chosen not to take advantage of them. Water follows gravity, which means that if you know the topology of a place, you can predict where the water will flow to. The challenge has been that calculating second-order differential equations at high resolution remains computationally expensive.
Murphy and Prosser decided to eschew the traditional physics-based approach that has been popular in hydrology for decades for a completely data-based approach that takes advantage of widely available techniques in machine learning to make those calculations much more palatable. â€œWe do top down what used to be bottoms up,â€ Murphy said. â€œWe have really sort of broken the speed barrier.â€ That work led to the creation ofDASH, the startupâ€™s real-time flood model.
Access to clean water is essentially for good health, yet many around the world lack access to save, clean, drinkable water. Researchers have found a way to clean water more efficiently than previous systems by essentially cleaning water at the source using a new catalyst. The catalyst cleans the water by creating hydrogen peroxide where it needs to be used by running electricity through special metals. This good because it requires less energy and resources to clean large amounts of water.
The catalyst-based method was shown to be 10,000,000 times more potent at killing the bacteria than an equivalent amount of the industrial hydrogen peroxide, and over 100,000,000 times more effective than chlorination, under equivalent conditions.
In addition to this, the catalyst-based method was shown to be more effective at killing the bacteria and viruses in a shorter space of time compared to the other two compounds.
â€œWe now have proven one-step process where, besides the catalyst, inputs of contaminated water and electricity are the only requirements to attain disinfection.