Skip to main content

Are floods getting worse?

Climate change has far reaching impacts beyond the gradual warming of the earth. The ocean is becoming more acidic, coral reefs are dying, and species are going extinct at alarming rates. In particular, extreme weather events appear to be becoming more common in recent years. Evidence suggests that severe floods and droughts have increased in certain regions of the United States. Anecdotally, just in the past few years, we've seen historic floods in Houston, the worst natural disaster in recorded history to hit Puerto Rico (Hurricane Maria), and devastating wildfires in Australia, just to name a few. I'm going to take a closer look and see if we can empirically show that flooding has gotten worse in frequency and magnitude in the Southern U.S. Interestingly, I found little scientific research on the subject. So basically. You heard it here first.

Flooding Down South

The Model

I obtained data from the United States Geological Survey (USGS) for the stream/river network for the American South. Particularly, I was interested in daily discharge, which is the quantity of water passing a location along a stream. A stream or river is only capable of handling so much discharge before overflow occurs, which results in flooding. As a result, discharge can be used as a metric of flooding severity. I restricted the streams I analyzed to the top 25th quartile by average yearly discharge, with the rationale that I was not interested in the "flooding" patterns of a small creek in rural Georgia. Note that because we only have data on streams, we cannot measure coastal flooding. So we are more specifically measuring stream flooding. 

I then created a statistical model for each stream that modeled the average discharge trend over time, accounting for seasonal and yearly trends. In that way, I was able to account for the normal seasonal ebbs and flows that every river experiences (post-winter thaws, spring rains, etc.), as well as yearly trends (rivers growing or shrinking over time due to natural or human activity), or even the moderate flooding that is natural with some rivers, and zero in on truly extraordinary events -- abnormal, or extreme floods. Below, you can see the result for the Mississippi River in Vicksburg, Mississippi from 2008 to 2011. Note that the model predicts some yearly spring flooding and that is taken into account in our "cutoff" so that the "regular floods" aren't captured when we are counting extreme floods:

Notice that we appear to have some extreme flooding in 2011. Let's zero in on that year:

Indeed, based on our cutoff, our model tells us there was a period of extreme flooding from May 8th until May 30th. Lo and behold if we look back in the news, there were major floods along the Mississippi River during April and May of 2011, substantiating our model! 

Results

I used my model to check whether extreme floods were getting more frequent, as well as whether they were getting worse. There was statistically significant evidence that extreme floods got more frequent throughout the South, and results can be summarized below. If you live in a Southern state, you can select your state to see individualized results!



The picture is less clear for flood intensity. Although not statistically significant, in aggregate, there appears to be a slight positive trend in flood intensity over time (see above for the picture). 




A heat map helps see where the increases are concentrated geographically -- gray states have weak relationships between time and flood frequency and/or magnitude. 
I'm obviously not a climatologist, so I can't draw any conclusions as to why these increases are occurring. All I can say is that there is compelling statistical evidence that extreme flooding events are getting worse in the Southern United States. I'll leave it up to you to draw your own conclusions as to why its happening. 


Comments

  1. "Any and all weather events are used by the GLOBAL WARMING HOAXSTERS to justify higher taxes to save our planet! They don't believe it $$$$!"
    -Donald Trump, 2014

    ReplyDelete
  2. Very interesting, particularly the charted breakdowns by state!

    ReplyDelete

Post a Comment

Popular posts from this blog

Why isn't Robinhood letting me trade? (hint: there's probably not a conspiracy against you)

Today's been a big day in the stock market . Lots of people have lost a lot of money, and a lot of people are understandably really upset . Here's a quick breakdown of what's happened so far A subreddit called /r/wallstreetbets  (visit at your own peril), which has exploded in popularity recently and has over 5 million subscribers (and counting) got really excited about three stocks: GME (Gamestop), AMC (the movie theater place), and BB (Blackberry). Gamestop was the main stock.  Yes, I know all three companies are doing terribly in the real world. I won't go into why they got excited about the stocks here.  They convinced a lot of other people to buy the stocks and they did well. Really well. Take a look at their Yahoo Finance pages and look at their 1 month price charts (then ignore the past two days). GME , BB , AMC Everyone got in on it, and I mean it. When a lot of people buy a single stock, the price rises. It turns out, this was hurting a lot of Hedge Funds and I...

Determining NFL Quarterback Archetypes (with stats!)

We're obsessed with grouping things together. We self-select each other into groups based on which political candidate we support, which sports team we root for, and which arbitrary country we're born in. People also spend hours on the internet arguing over "tiers", or groupings, of their favorite athletes and sports teams. For example, which NBA players are "elite" vs. "great" vs. just "good"? Did Carmelo Anthony belong  on the Banana Boat ? When engaging in these arguments, we typically use statistics like points or rebounds per game to back up our points, but at the end of the day, the groups are more or less kind of arbitrary.  But what if there was a way to algorithmically sort observations into groups based on shared characteristics using machine learning methods? Enter clustering , which is the methodology of grouping similar observations into groups, or "clusters", using a mathematical distance metric derived from a set ...

The Minimum Wage, the Living Wage, and the Wardrobe

The Senate is currently in intense debate regarding raising the federal minimum wage. Several potential wages have been proposed, including a $10/hour plan from Senators Romney and Cotton  and a more generous $15/hour plan from the progressive Democrats. Right now the current federal minimum wage stands at $7.25 per hour, which 21 states (including my notably Blue home state of Virginia) adhere to. While the debate rages on, I wanted to take a closer look at the history of the minimum wage, the concept of a "living wage", and how these two terms invariably tie together across the United States.  More importantly, at some point, there are diminishing returns and increasing costs to increasing the minimum wage. So where should we settle? The History of the Minimum Wage This isn't a history blog, so I'll be brief. The minimum wage was established under the Fair Labor Standards Act in 1938 and set at $0.25/hour, which is worth around $4.60/hour today. Since then, it has ...