It's hot in Houston — and according to a new report, there are only three other U.S. cities that are hotter than H-Town. Photo by Scott Halleran/Getty Images

A new report takes the temperature of urban heat islands across the U.S., and Houston lands in the hotter-than-you-know-what category.

The report, released July 14 by the nonprofit news organization Climate Central, ranks Houston the fourth worst place among the country's urban heat islands. Houston sits behind New Orleans, holding down the No. 1 spot, with Newark, New Jersey, at No. 2 and New York City at No. 3.

"Even for a Houstonian, it's easy to think first of flooding or hurricanes when it comes to regional climate impacts, but increases in daytime and nighttime temperatures at the rate we've seen since the 1970s can do as much — if not more — damage," the Nature Conservancy of Texas notes in a July 2020 news release.

Climate Central emphasizes that extreme urban heat is a public health threat. Texas, Arizona, and California accounted for 37 percent of the country's heat-related deaths between 2004 and 2018, according to U.S. Centers for Disease Control and Prevention (CDC) data released in 2020.

According to the Climate Central report, Houston scored so high because of the city's sizeable share of impermeable surfaces, such as asphalt, concrete, stone, and brick. Impermeable surfaces absorb heat and prevent water from penetrating them.

Climate Central describes urban heat islands as big urban locations that are hotter that outlying areas, especially during the summer. Neighborhoods in a highly developed city can experience peak temperatures that are 15 to 20 degrees above nearby places that have more trees and less pavement, the group says.

The nonprofit created an index to evaluate the intensity of urban heat islands and applied it to 159 cities across the U.S., with Houston claiming the No. 4 spot.

"Heat islands are heavily influenced by albedo, which measures whether a surface reflects sunlight or absorbs and retains the sun's heat," Climate Central says. "Other factors include the amount of impermeable surface, lack of greenery and trees, building height, and heat created by human activities."

Results of a one-day study carried out last August support Climate Central's conclusion about Houston.

The study mapped out heat islands across 320 square miles of Houston and Harris County. More than 80 community scientists fanned out to sample temperatures during three one-hour periods last August 7.

The hottest point measured during the heat-mapping day was 103.3 degrees just southwest of the Galleria on Richmond Avenue near Chimney Rock Road. At the same time, volunteers recorded a temperature of 86.2 degrees about 20 miles to the east on Woodforest Boulevard in Channelview. The result: a 17.1-degree temperature swing between Houston and Harris County's hottest and coolest areas at the same point in time.

The Houston Harris Heat Action Team — a collaboration among the Houston Advanced Research Center, the City of Houston, Harris County Public Health, and the Nature Conservancy of Texas — sponsored the heat-mapping exercise with financial support from Lowe's and Shell.

"The data has identified Houston's 'hot spots' and shows that some Houstonians are impacted by urban heat island effect more than others," Houston Mayor Sylvester Turner said in a January news release about the heat-mapping study. "We will work with partners to target our cooling and health strategies … to better help Houstonians beat the heat."

The heat-mapping event was conducted in conjunction with Resilient Houston, the city's campaign to make Houston neighborhoods greener and cooler. The City of Houston says data from the heat-mapping study will help with evaluation of health risks related to extreme heat, coordination of tree plantings, installation of shade-producing structures, establishment of cooling centers, and targeted design of parks, streets, housing, and other infrastructure.

"Science shows that there is real potential to reshape our built environment and cool our cities down where it's needed most," says Suzanne Scott, director of the Nature Conservancy of Texas. "And now, armed with this data, local planners, developers, and environmental groups like ours will be able to leverage smart, cooling urban design strategies that offer multiple benefits — including climate resilience — for all residents, both human and wildlife."

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”