Search Results for: map glenmont
Glenmont 1960
Delmar 1953 Before the Bypass
Following Glenmont Road which is now no longer marked as a touring route.
Bethlehem Center, 1995 – 2017
Development in the area known often as Glenmont.
Kenwood 1893
After hiking in the Normans Kill Gorge, I was curious about the old routing of Glenmont Road and South Pearl Street.
Municipal Trash Incinerators in Upstate NY (Google Maps)
These incinerators are sorted by their size, with the largest ones up top, and smallest ones below. These numbers are converted from the yearly numbers of the DEC, to average tons per day, as calculated in standard format for landfills (21-day months).
Incinerators normally are rated by 31-day months, as they typically burn trash year round, unlike landfills which are closed on Sundays and all Major Holidays, and also work only half days on Saturdays. For the sake of comparison, 31-day incinerator tonnages where converted to 21-day landfill tonnages. Tonnages can vary per day, as incinerators are not rated on the tonnage of waste they may accept, but how many BTUs of energy are produced by burning the waste. Incinerators burning larger volumes highly combustable wastes, such as tires or roofing material, must reduce their tonnage to comply with air quality permits.
Incinerated waste produces bottom (unburnable stuff) and fly ash (toxic by-products of combustion captured in various smoke stack filters), which must be disposed at a landfill, so for example, the 1,266 tons per day incinerator in Ondononga County still produces an average of 316 tons per day of ash that is currently sent to the Seneca Falls Landfill off of NY 414.
Also, it should be noted the minimal electricity protection of these facilities. The largest incinerator in Upstate NY, produces only 67 MW of electricity, compared to even modest new power plants such as the new 635 MW Besicorp Natural Gas Plant in Rennselear or the 750 MW Bethlehem Steam Station Natural Gas Plant in Glenmont. All of the incinerators in Upstate NY, produce far less electricity (124 MW) then this one power plant.
Niagara Falls.
MSW Processed: 3,869 tpd – Ash Generated: 906 tpd – Reduction in Tonnage: 24% – Average Electricity Sold: 24 MW/hr + steam
Westchester County.
MSW Processed: 2,778 tpd – Ash Generated: 665 tpd – Reduction in Tonnage: 24% – Average Electricity Sold: 67 MW/hr
Onondaga County.
MSW Processed: 1,266 tpd – Ash Generated: 316 tpd – Reduction in Tonnage: 25% – Average Electricity Sold: 23 MW/hr
Hudson Falls.
MSW Processed: 688 tpd – Ash Generated: 215 tpd – Reduction in Tonnage: 31% – Average Electricity Sold: 10 MW/hr
Dutchess County.
MSW Processed: 599 tpd – Ash Generated: 177 tpd – Reduction in Tonnage: 30% – Average Electricity Sold: 5 MW/hr
Oswego County.
MSW Processed: 290 tpd – Ash Generated: 87 tpd – Reduction in Tonnage: 36% – Average Electricity Sold: 0.6 MW/hr + stream
Town of Bethlehem Divided Into Four Equal Population Districts
Like most towns in New York State, Bethlehem doesn't have Wards. All elected officials are elected at-large.
But could you draw equal population districts that represent actual communities of interest? Not looking a demographics or political competitiveness, but actual communities of interest based on my knowledge of the town -- like Slingerlands, Delmar, Elsmere, Glenmont or South Bethlehem, and have them come out to be equal population? I tried, and here was the results.
There are different ways to look at this problem. One could use an algorithm to draw districts, although I've yet to find one that does a particularly good job. Turns out it's hard to automate district drawing, as often different demographics live next to one and another, and you get stuck with pockets of similar demographics living on opposite ends of the town. You end up packing and cracking or splitting similar demographics, unintentionally. It always seems like equal population is enemy of building communities of interest.
Drawing districts is a fascinating GIS question. But often the best districts are still drawn by humans, watching the totals add up in redistricting plugin, and then looking at maps of demographics. And that involves a lot of acceptance of the fact that districts you have drawn still have a lot of problems with packing and cracking. I don't like how this ultimately came out, but the equal population constraint really causes a lot of problems. Having more districts, might help solve the problem.
The qgis plugin I used for this was the Statto Software Redistricter, using a PL 94-171 Census Data joined against the block-level files. I didn't load any political or demographic graphics, just raw population along with my knowledge of what the neighborhoods look like from a map and having explored them in person, with a goal of grouping highly dense and very rural neighborhoods separately. A goal that was largely a failure in this effort! But it is a fun thought experiment.