Environmental Hydrology 342 Final Report Fall 2012 The first hypothesis to test for your final report will relate to the physical hydrology … Formulate a hypothesis to test to answer this question:...

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Environmental Hydrology 342 Final Report


Fall 2012


The first hypothesis to test for your final report will relate to the physical hydrology …


Formulate a hypothesis to test to answer this question:
What explains the differences in stream flow between watersheds?
e.g. If stream flow depends on the watershed’s _____(area? land slope? amount of forest? other?)_____, then streams in watersheds having ____(larger area? etc.)______ will have _____(higher? lower?)___ flow.

The second set of hypotheses to test for your term project will combine physical and chemical hydrology …


Formulate a set of hypotheses to test to answer these questions:
What explains the relationship between stream flow and ___ (X) ___ observed in the data?
Where X =
a) pH
b) Turbidity
c) TDS
d) Alkalinity and the non-buffering ions comprising TDS (i.e. TDS – Alkalinity)
In your hypothesis and then data presentation and discussion, you must address the characteristics of the individual watersheds and the processes which you believe are causing the relationships observed.

Future Project:
Based upon what you learned in this class, suggest a project design scenario for a specific hypothesis that you might like to test concerning processes within the campus watershed as an independent study project. So state your hypothesis, and then your means to test it. What data would you have to collect to be able to test your hypothesis? Where? How often?


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Environmental Hydrology 342 Final Report Fall 2012 The first hypothesis to test for your final report will relate to the physical hydrology … Formulate a hypothesis to test to answer this question: What explains the differences in stream flow between watersheds? e.g. If stream flow depends on the watershed’s _____(area? land slope? amount of forest? other?)_____, then streams in watersheds having ____(larger area? etc.)______ will have _____(higher? lower?)___ flow. The second set of hypotheses to test for your term project will combine physical and chemical hydrology … Formulate a set of hypotheses to test to answer these questions: What explains the relationship between stream flow and ___ (X) ___ observed in the data? Where X = a) pH b) Turbidity c)TDS d)Alkalinity and the non-buffering ions comprising TDS (i.e. TDS – Alkalinity) In your hypothesis and then data presentation and discussion, you must address the characteristics of the individual watersheds and the processes which you believe are causing the relationships observed. Future Project: Based upon what you learned in this class, suggest a project design scenario for a specific hypothesis that you might like to test concerning processes within the campus watershed as an independent study project. So state your hypothesis, and then your means to test it. What data would you have to collect to be able to test your hypothesis? Where? How often?



Answered Same DayDec 21, 2021

Answer To: Environmental Hydrology 342 Final Report Fall 2012 The first hypothesis to test for your final...

Robert answered on Dec 21 2021
116 Votes
Q1. a) Using naïve forecasting the value forecast for month 11 = 18.
b) Using the Forecasting Method that uses the aver
age of all the data available until that
period as the forecast for the next period, the forecast for month 11 = 18.8
c) The following Table shows the Mean Absolute Deviation (MAD) and Mean Absolute
Percentage Error (MAPE) for both the forecasting methods:

Naïve
Forecast
Average
Forecast
MAD 6 3.40
MAPE 34% 18%
From the above table we can see that both MAD and MAPE are smaller in case of Average
Forecasting Method. Therefore this method has a better forecasting accuracy than the Naïve
forecast. Therefore, the Average Forecasting Method appears to provide a better forecast.
Q2. The following table shows the 2 months and 4 months Moving Average:
a.
Week
Time
Series
Value
2 week
MA
4 week
MA
1 17
2 21
3 19 21
4 23 20
5 18 21 21
6 16 20.5 20.25
7 20 17 19
8 18 18 19.25
9 22 19 18
10 20 20 19
11 15 21 20
12 22 17.5 18.75
b. Here we use Mean Squared Error (MSE) as the forecast accuracy measures. The following
table shows the MSE for all the three methods:
2 week MA 3 week MA
4 week
MA...
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