Assignment 3 for ENVS 202 Summer 2013

Homework Upload Link

Questions:

Make sure you show all work/reasoning.

  1. a) The following table shows US average annual temperatures in three separate time periods 1950-1962, 1970-1982, 2000-2012. Using the Z-test determine if there is a significant difference in mean values between the 2000-2012 data set and the other two data sets.

    b)The year 2012 set a record for the highest annual average temperature for the US. Using 2000-2011 data is the value for 2012 significant?

    c) From this analysis, give an argument either for or against the assumption that the annual temperature of the US is increasing as a response to global climate change

    1950,51.43 1951,51.15 1952,52.33 1953,53.39 1954,53.34 1955,51.72 1956,52.35 1957,52.10 1958,51.97 1959,52.13 1960,51.45 1961,51.88 1962,51.90 1970,51.64 1971,51.71 1972,51.39 1973,52.31 1974,52.30 1975,51.53 1976,51.51 1977,52.58 1978,51.07 1979,50.92 1980,52.41 1981,53.15 1982,51.37 2000,53.27 2001,53.67 2002,53.21 2003,53.30 2004,53.12 2005,53.64 2006,54.32 2007,53.67 2008,52.31 2009,52.39 2010,53.02 2011,53.21 2012,55.34


  2. Do some research and summarize the reasons that some scientists think there is a likely chance that "Runaway Methane Global Warming" will actually happen. Also summarize some of the past geological evidence for past runaway events (e.g. methane burps). Finally, conclude whether or not, based on your research, you think this is a serious concern.



  3. A little reported but quite serious global infrastructure problem is the current rate of iron ore/steel usage. Research and report the growth of China's use of steel (since the year 2000) and the implication that this growth rate has on the exhaustion timescale of the world's steel supply. Find data to compare the growth rates from 2000 to 2008 to those for 2009-2014. Comment on whether or not this is the silver lining associated with global economic meltdown.

  4. The table at the bottom shows the population of Oregon counties from 1950 to 2010. You have just been giving a job as resource manager for the state of Oregon, and you need to examine the population growth for some selected counties as shown in the table below:

    Historical Population of Oregon Counties
    In units of thousands of people

    County 2010 2000 1990 1980 1970 1960 1950
    Clackamas 382 339 278 242 166 113 87
    Deschutes 172 117 75 62 30 23 22
    Jackson 208 182 146 132 95 74 59
    Lane 349 323 284 275 213 163 126
    Marion 321 285 228 205 151 121 101
    Washington 533 448 311 246 158 92 61
    Yamhill 96 85 65 55 40 32 33



    This is your first day on the job and your boss gives you a bunch of data to distill to answer the following questions. You should make use of the visual regression exponential growth tool as described and linked HERE




    Using that tool adjust the growth rate until the line seems to go through most of the point. Remember this is a growth rate per decade.

      a) Which county is growing fastest and what is that growth rate? (attach a screen shot of your result); If new schools are built for every new 5000 people, how many new schools would need to be built in this county by the year 2050?

      b) Enter the data for Lane country into the tool and attach a screen shot of it.

      • What do you think the best growth rate would be for the data?
      • What is the growth rate that you get if you just use the 1950-1980 data?
      • In 1980 a standard emerged that there should be 1 c0untry sheriff for every 3000 citizens of any county. Based on the 1950-1980 growth rate, what would be the population of Lane county in 2010 and how many county sherrifs should we have?
      • In the decade of the 1980s, population growth in Lane County was essentially flat - What event or events do you think happened (do some actual research here) to cause this very low lower growth rate.

      c) Now derive the growth rate for the 1990-2010 data for Lane County. Make a prediction for the population in the year 2040 for Lane county and state how reliable you feel that prediction is.