Tag Archives: urban heat island

heat makes us crazy

Friday, February 25, 2022: resisting…urge…to…comment…on…current…events…I know…nothing…about… (just to pick a random example, the ongoing war in Ukraine)

Extreme heat not only affects our bodies, which we knew, but it exacerbates mental illness too, according to this study in JAMA.

Everybody knows shooting deaths go up when it is hot. I always assumed that people tended to be outside interacting more, especially if they don’t have air conditioning, and that young men in particular just have less to do in the summer months. But maybe there is more to it than that.

the urban cool island

Here’s an article on quantifying the urban cool island. Which, as you might expect, is the opposite of the urban heat island.

Quantifying the cool island effects of urban green spaces using remote sensing Data

Urban Heat Island (UHI) leads to increased energy consumption, aggravated pollution and threatened health of citizens. Urban green spaces mitigate UHI effects, however, it is still unclear how the green space characteristics and its surrounding environment affects the green space cool island (GCI). In this study, land surface temperature (LST) and land cover types within the outmost ring road of Shanghai, China were obtained from Landsat 8 data and high-resolution Google Earth data. The GCI effects were defined in three aspects: GCI range (GR), amplitude of temperature drop (TA) and temperature gradient (TG). Pearson correlation analysis was processed to get the relationship between the aspects and impact factors. The results indicated that the GCI principle could be explained by the thermal conduct theory. The efficient methods to decrease LST of green spaces include increasing green space area while staying below the threshold, adding complexity of green space shape, decreasing impervious surfaces and enlarging the area of water bodies. For the surrounding environment of the green spaces, increasing vegetation and water body fractions or decreasing impervious surfaces will help to strengthen GCI effects. The findings can help urban planners to understand GCI formation and design cool green spaces to mitigate UHI effects.

This is a subject where I’m out of my depth in terms of formal training, but certainly interested. There are at least two ways you can try to combat the urban heat island effect, which occurs when pavement and other man-made surfaces absorb heat during the day and release it slowly at night (and during the day). The first is to use light-colored materials to reflect sunlight back into space. Using white roof materials whenever practical seems like a no-brainer. Maybe we don’t want snow white paving materials everywhere at the ground level, because that could be displeasing and even painful to the eye, but certainly we could dispense with the asphalt. Even if asphalt didn’t absorb heat, it would still be a hideous, toxic, short-lived material. It’s better to use concrete or brick or stone or almost anything else – it may cost more up front but it will last longer and just generally make our urban areas better. Materials that are permeable to rain water are also available so let’s consider those where they make sense.

The other way is to maximize the use of soil and vegetated surfaces. Soil and vegetated surfaces also absorb heat, I think, but then dissipate much of it again through evaporation and transpiration. Then there is the simple process of tree canopy create shade at ground level (which I imagine satellite studies like the one above may have trouble picking up on). In very dry climates, this may not be practical because to state the obvious, you need water to have evaporation. In very, very wet climates, it might make sense to store rainwater and intentionally spray it on your paved surfaces to cool them down. This is assuming you want to get rid of the heat and water – if you are in a place where water is scarce and precious, you might not want to do that, and you might even want to think twice about having a lot of vegetated surface. Or maybe that is not the right place for large numbers of people to live. Unless you can create more or less a closed-loop water system, in which case it might be a good place, thinking in terms of ecological footprint and preparing for humanity’s possible future in space.

urban vegetation design for heat

When you see completely mangled English in a paper that has supposedly passed peer review, you have to wonder about the quality of the peer review. Nonetheless, I was interested in the results of this study that looked at trees, shrubs, and lawn to see which had the most effect on urban heat.

Numerical simulation of the impact of different vegetation species on the outdoor thermal environment

For air temperature at 1.5 m and thermal comfort and safety (PET and WBGT), the sequence is trees> lawn> shrubs, but for surface temperature, the sequence is lawn> shrubs> trees

I’m always interested in the idea of designing urban areas to maximize hydrologic function, ecological function, and human comfort simultaneously. There is so much that could be done, and so much closed-mindedness and poor communication among the various professions and disciplines that could be doing it.

I’ve always assumed trees are the gold standard, because you get both the evapotranspiration function and the shading function, whereas with lawn and shrubs you only get the former. Also, you only need a small area of soil to plant the tree (although often more than we allow in urban areas), and then its leaves can cover a large area of concrete or asphalt, which would otherwise be generating a lot of heat and polluted runoff. Also, grass provides very little ecological function (unless you let it grow taller and/or take a lenient approach to what some of your neighbors choose to define as “weeds”, which can be socially unacceptable), where trees and bushes provide ecological function. Bushes take up a lot of space, either in a sidewalk context or a small urban yard – paradoxically, once trees mature a little bit they take up less space because there is space under them. On the other hand, I’ve argued with purists that if people really want lawn in urban areas, it is a lot better than concrete in terms of hydrology, heat, and aesthetics. Although if you’re in a water-stressed area, that adds another factor to the hydrology equation that those of us in wetter areas have the luxury of not worrying about too much.

tree canopy volume

I had never thought about modeling tree canopy volume in 3D before. I’ve played around with simple algorithms to place trees on a map, assume a mature canopy area per tree, and estimate the total canopy area. This is useful because cities sometimes set targets and metrics in terms of number of trees, and sometimes in terms of tree canopy. The latter is better because it is more relatable to other goals a city might have related to the hydrologic cycle, carbon, heat, air quality, aesthetics and property values, biodiversity and habitat, and the financial cost to public offers of achieving these goals. Once you have an algorithm relating number of trees to canopy area, you can add more variables like type of tree, growth over time, and some assumed attrition rate or half life. Come to think of it, I have played around with leaf area index which is a quasi-3D concept. Anyway, without further ado here is the article that prompted my line of thought:

Local Impact of Tree Volume on Nocturnal Urban Heat Island: A Case Study in Amsterdam

The aim of this research is to quantify the local impacts of tree volumes on the nocturnal urban heat island intensity (UHI). Volume of each individual tree is estimated through a 3D tree model dataset derived from LIDAR data and modelled with geospatial technology. Air temperature is measured on 103 different locations of the city on a relatively warm summer night. We tested an empirical model, using multi-linear regression analysis, to explain the contribution of tree volume to UHI while also taking into account urbanization degree and sky view factor at each location. We also explored the scale effect by testing variant radii for the aggregated tree volume to uncover the highest impact on UHI. The results of this study indicate that, in our case study area, tree volume has the highest impact on UHI within 40 meters and that a one degree temperature reduction is predicted for an increase of 60,000 m3 tree canopy volume in this 40 meter buffer. In addition, we present how geospatial technology is used in automating data extraction procedures to enable scalability (data availability for large extents) for efficient analysis of the UHI relation with urban elements.

climate change impact reports

Here are a number of reports on climate change impacts on U.S. cities:

The common thread is that extreme weather is going to be more frequent and more damaging, and we need to be ready.