Why New York and other cities still aren’t prepared for floods – Warungku Teknologi

New York City came to a grinding halt Friday as floods shut down roads and subways and inundated schools in one of the biggest storm-related emergencies since the remnants of Hurricane Ida hit in 2021.

It isn’t a problem that’s unique to New York. Flood risk is rising across the US with worsening weather disasters and growing strain on outdated infrastructure.

“The water has nowhere to go”

What should a flood-proof city look like? warungku asked Samuel Brody, Director of the Institute for a Disaster Resilient Texas and a professor in the Department of Marine and Coastal Environmental Science at Texas A&M University at Galveston.

This interview has been lightly edited for length and clarity.

Are cities uniquely vulnerable to flooding? And if so, how? 

Absolutely. Cities have more impervious surfaces and are sprawling outward with roadways, rooftops, and parking lots. The water has nowhere to go but downstream and sometimes into people’s homes and businesses. 

One of the trends we’re seeing nationwide is that flooding is occurring in places that we never thought would be the case, and that’s because of the role the human-built environment plays in exacerbating and sometimes entirely creating these flooding events. Some of that’s playing out in New York City today. If you look in the paper any given week, you’re going to see some kind of flood event in a developed area somewhere in the United States.

So it becomes very important for cities to think about their drainage infrastructure, and not just put appropriate size and effective drainage infrastructure in place, but monitor, maintain, renew, update those systems over time. Historically, in the United States, we’ve done a very bad job of that.

That stood out to me in the report you and other researchers published in 2018 that found that “Many of the urban wastewater and stormwater systems that provide the backbone of urban flood mitigation are in poor condition.” How did that happen? 

In Houston, where I live, say the stormwater system was put in place in the 1950s. Well, all the development that’s occurred since then is putting more volume and velocity of water into that system so that the system is just under capacity.

Even the systems that are designed today, they’re only designed for, for example, a five-year storm event. In the United States, the baseline of risk is a 100-year event. A 100-year event is a 1 percent chance, in any given year, that an area will be inundated by floodwaters. That doesn’t mean you get a 100-year storm and then you can feel like you’ll be safe for another 100 years. It just means every year, there’s a 1 percent chance.

New York City and most major cities are underdesigned because it would be so expensive to allow a storm drain system to handle a 100-year event. But that’s what we’re seeing. New York today has gotten about one, possibly two inches of rain an hour. A 100-year storm event in New York City is about 3.5 inches per hour. That’s not even near a 100-year event, yet everyone’s flooding because the storm drain system is old and under capacity. There’s not enough money to keep it up to date and accommodate the expanding development that’s taking place. We’re just starting to see some of the impacts of climate change, which result in many places in more intense episodes of rainfall. 

How is flood risk changing with climate change? New York City’s commissioner of the Department of Environmental Protection, Rohit Aggarwala, said in a press conference today, “The sad reality is our climate is changing faster than our infrastructure can respond.”

That may be true, but I would challenge that statement by saying a much quicker, more powerful vector of risk, in that case, is that human development is changing much more quickly than our drainage systems and our infrastructure can accommodate — much more quickly than climate change, which is real, which is fundamental, which is happening.

The human-built environment has been a noted problem for decades. And to ignore that as the major cause of the problem right now, I think, would be missing the total picture. What’s overwhelming our infrastructure right now is more so our development decisions and our overall patterns of human impact on the landscape than it is rising sea level rise, changing rainfall patterns — which is happening, but it’s a much longer, slow variable of influence.

So what would a more flood-proof city look like?

There are four dimensions of what would be a flood-resilient city. The first is avoidance, getting out of the way. It means building higher in some cases; it means pulling away from vulnerable areas or letting remaining ecological infrastructure like naturally occurring wetlands do their job, act as a sponge, and not necessarily pave them over.

The second dimension is to accommodate. There are some places where we want to let it flood. Whether that’s creating areas of retention and detention or that’s, again, letting these naturally occurring wetlands alone. We’re so used to fighting water. Accommodation and about living with water and understanding that in these landscapes, both urban and non-urban, there are places where we want to let it flood.

“We’re so used to fighting water.”

The third component is resistance, which is all about the history of flood management in the United States: fighting the flood. That’s barriers, sea walls, levees, different ways to hold the water back. We know that doing that alone as our main strategy doesn’t work over time. That’s why I’m mentioning that as a third component, not the first.

The last component is communication, telling the story of risk. That’s providing information in a way that’s interpretable and actionable to those decision-makers but also individual residents to have them better understand what their risk will be so that they can take action.

We’re finding that there’s such a lack of awareness and a distortion of communication around floods that people are caught off guard. Even today, in New York City, they’re surprised.

Officials have said this is the wettest day in NYC since Hurricane Ida hit in 2021. Flooding then killed more than a dozen people in basement apartments, many of whom were low-income immigrants. What might make certain pockets of a city more vulnerable than others? And what can be done to fix those disparities?

Basement flooding is a huge problem in Houston, which is the epicenter for urban flooding in the country. Wealthy homes are the ones that are elevated really high and have all kinds of expensive systems in place to withstand floodwaters. 

One of the problems with our system in the US of flood risk reduction and management is that it tends to favor wealthy populations. More expensive parcels tend to be less flood-prone. More expensive structures and households have more capacity to deal with flood waters. Lower-income neighborhoods tend to have fewer drainage resources.

That stands in contrast to other countries like the Netherlands, where they put a precedent on protecting the socially vulnerable first. It’s not just income — it’s age, education; those are the populations that need to be protected first.

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Techno-fixes to climate change aren’t living up to the hype – Warungku Teknologi

An updated road map for combating climate change pours cold water on the idea that unproven technologies can play a major role in averting disaster.

Today, the International Energy Agency (IEA) updated its road map for the energy sector to reach net-zero greenhouse gas emissions by 2050. It doubles down on the need to swiftly switch to renewable energy while minimizing the use of technologies that are still largely in demonstration and prototype phase today, including carbon capture and hydrogen fuels.

The IEA, initially created to safeguard the world’s oil supply, debuted its landmark road map in 2021 with a stark forecast for fossil fuels: calling for no more investment in new oil, gas, and coal projects. It laid out steps every country on Earth needs to take in order to meet the goals of the Paris climate accord, which seeks to limit global warming to roughly 1.5 degrees Celsius by reaching net-zero emissions. But the planet is still heating up, reaching 1.2 degrees Celsius — triggering more extreme weather and climate disasters and pushing the IEA to revise its global road map to address new realities.

“I think that some realism has kicked in”

The biggest difference in this new report is that emerging technologies that have gotten a lot of hype as high-tech fixes to climate change now play a significantly smaller role than expected in 2021. Those technologies, which include hydrogen fuel cells for heavy vehicles and devices that filter CO2 emissions from smokestacks or ambient air, now account for 35 percent of emissions reductions rather than nearly 50 percent.

Why? They just haven’t lived up to the hype, the report says pretty plainly.

“I think that some realism has kicked in from this, and I wonder how that realism from this report will kind of perforate through those industries,” says Dave Jones, global insights lead at energy think tank Ember.

Today, “hydrogen production is more of a climate problem than a climate solution,” the report says. Hydrogen as a fuel is nothing new, but most of it is still made using gas. Some countries, including the US, are investing in ways to make hydrogen more sustainable by using renewable energy or fossil fuels paired with carbon capture. If it takes off, it could create cleaner fuel for planes, ships, or trucks.

But building out the infrastructure to transport hydrogen is proving to be a bigger barrier than anticipated, Jones says. On the other hand, electric charging infrastructure, while still limited, is growing much more rapidly. The IEA’s updated road map shrinks the share of fuel cell electric heavy-duty vehicles on the road in 2050 by up to 40 percent compared to its initial 2021 forecast.

The road map similarly cuts down the role of carbon capture technologies by around 40 percent in emissions reductions from power generation. “So far, the history of [carbon capture] has largely been one of unmet expectations,” the IEA’s new report says. The US Department of Energy (DOE) has wasted hundreds of millions of dollars on failed carbon capture projects mostly because of “factors affecting their economic viability,” according to a 2021 report by the Government Accountability Office.

“Removing carbon from the atmosphere is very costly. We must do everything possible to stop putting it there in the first place,” IEA executive director Fatih Birol said in a press release. If pollution doesn’t fall fast enough and the planet warms beyond 1.5 degrees, countries can attempt to use carbon capture technologies that are “expensive and unproven at scale” to try to reverse some of that warming, the press release says. But relying on those technologies would come with heightened climate risks.

Renewable power capacity globally needs to triple by 2030 in order to stop generating planet-heating pollution in the first place, the report says. Spending on clean energy would need to more than double from $1.8 trillion this year to $4.5 trillion by early next decade. Energy efficiency also has to double within the same timeframe, and the world’s wealthiest countries need to reach net-zero emissions years ahead of the global 2050 target.

The timing of this updated road map is important. It follows the United Nations’ first global report card on how well countries are tackling climate change. In short, they’ve fallen behind, as emissions continue to rise despite the need to limit warming to 1.5 degrees.

The UN held a climate summit in New York last week to push countries to ramp up their clean energy commitments, but heads of state from the countries with the biggest carbon footprints — China and the US — didn’t participate. They’ll have another shot during a larger UN climate conference that starts in Dubai in November.

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Zoom rewrites its policies to make clear that your videos aren’t used to train AI tools – Warungku Teknologi

Zoom has updated its terms of service and reworded a blog post explaining recent terms of service changes referencing its generative AI tools. The company now explicitly states that “communications-like” customer data isn’t being used to train artificial intelligence models for Zoom or third parties. What is covered by communications-like? Basically, the content of your videoconferencing on Zoom.

Zoom does not use any of your audio, video, chat, screen sharing, attachments or other communications-like Customer Content (such as poll results, whiteboard and reactions) to train Zoom or third-party artificial intelligence models.

Zoom has come under scrutiny over terms of service language that people interpreted as giving the company broad control and copyrights of customer data, including potentially anything they showed or discussed during a call, with the intention of using that content to train the AI models that power features like its meeting summaries.

Section 10 of the terms of service, where the previous language had been, has also been rewritten to more clearly differentiate between “customer content” and “service generated data.”

According to Zoom, the refreshed policy is just reiterating its position more definitively after the company already revised the terms earlier this week to try and assuage customers. Before Friday’s revision, the most recent version said, “Zoom will not use audio, video or chat Customer Content to train our artificial intelligence models without your consent,” without as clearly laying out what it would use or how consent is given.

On Monday, Zoom’s chief product officer Smita Hashim updated her blog post about these changes to state that “our customers continue to own and control their content.” The older version of Hashim’s blog post has more examples of how Zoom uses customer data to “provide value-added services,” that doesn’t include training its own models, like having a license to deliver the recording of a meeting and use an automated scanner that detects fraud or spam messages.

Still, this wasn’t the first time people raised concerns over seemingly-broad terms of service changes, and I think there’s more Zoom could have done here initially to clarify this for users. With growing fears about how companies are using data to train AI models, it definitely won’t be the last.

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Zoom says its new AI tools aren’t stealing ownership of your content – Warungku Teknologi

Zoom doesn’t train its artificial intelligence models on audio, video, or text chats from the app “without customer consent,” according to a Monday blog post from Zoom’s chief product officer, Smita Hashim. She also writes that “our customers continue to own and control their content.”

The company’s handling of customer data for AI training has come under scrutiny after a Stack Diary article reported changes to the company’s terms of service that took effect in late July and appeared to give the company broad control over user data for AI work.

The new sections appear to merge descriptions of Zoom’s license to show the content users want to have streamed without somehow giving the service ownership over it with the sections concerning AI tools. Long before the generative AI boom, this same approach has raised the ire of users reading the terms of service for services like Instagram and Twitter, as well as cloud storage sites like Dropbox and Google Drive.

Hashim writes that “our intention was to make clear that customers create and own their own video, audio, and chat content. We have permission to use this customer content to provide value-added services based on this content, but our customers continue to own and control their content.”

The Stack Diary report specifically highlighted two sections in Zoom’s terms of service, 10.2 and 10.4, that discuss how Zoom can handle user data.

Zoom, like many other companies, has been marketing new AI-powered features as of late, including a tool to help people catch up on meetings they’ve missed and one that helps people compose messages in its Slack-like Team Chat app.

In Monday’s blog post, Hashim says that account owners and administrators can choose if they want to turn on the features, which are still available on a trial basis, and that people who turn them on will “be presented with a transparent consent process for training our AI models using your customer content.”

Here’s what Zoom’s in-meeting notification looks like when it’s using data for its meeting summaries feature.
Image: Zoom

Hashim adds that user content is “used solely to improve the performance and accuracy of these AI services” and that any shared data “will not be used for training of any third-party models.” Hashim also says that when AI services are in use, it tells meeting participants.

In Section 10.4, our intention was to make sure that if we provided value-added services (such as a meeting recording), we would have the ability to do so without questions of usage rights. The meeting recording is still owned by the customer, and we have a license to that content in order to deliver the service of recording. An example of a machine learning service for which we need license and usage rights is our automated scanning of webinar invites / reminders to make sure that we aren’t unwittingly being used to spam or defraud participants. The customer owns the underlying webinar invite, and we are licensed to provide the service on top of that content.

Zoom isn’t the only company making AI-related terms of service updates that have caught some attention. Google recently updated its privacy policy to note that its AI-powered tools like Google Translate and Google Bard might be trained using data scraped from public sources on the internet.

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