Merge pull request #29 from jessicalundquist/main

update to module 3 and labs
Mountain-Hydrology-Research-Group · Mar 28, 2024 · 2e64dda · 2e64dda
2 parents ae05eb5 + 77ddfea
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diff --git a/modules/.ipynb_checkpoints/module3-checkpoint.md b/modules/.ipynb_checkpoints/module3-checkpoint.md
@@ -21,13 +21,13 @@ Download the lab and data files to your computer. Then, upload them to your Jupy
 
 ### Problem 1
 
-On an overcast day with class C stability, the wind velocity at 10 m is 4 m/s.  The emission rate of NO is 60 g/s from a stack having an effective height of 100 m.  Assume rural conditions.  (You will want to use the lab python notebooks to solve this problem.)
+On an overcast day with class C stability, the wind velocity at 10 m is 5 m/s.  The emission rate of an atmospheric pollutant is 65 g/s from a stack having an effective height of 100 m.  Assume rural conditions.  (You will want to use the lab python notebooks to solve this problem.)
 
-* Estimate the center-line, ground-level concentration 18 km downwind from the stack, in micrograms per cubic meter. 
-* Estimate the ground-level concentration 18 km downwind and 800 m from the stack center line, in micrograms per cubic meter.
+* Estimate the center-line, ground-level concentration 22 km downwind from the stack, in micrograms per cubic meter. 
+* Estimate the ground-level concentration 22 km downwind and 650 m from the stack center line, in micrograms per cubic meter.
 * Calculate and plot the centerline ground level concentration versus distance from the stack (C(x)). 
 * From the plot, estimate the magnitude and location of the peak ground concentration.
-* How would the location and magnitude of the peak ground concentration change if the stack height was 150 𝑚? (Plot on the same axes)
+* How would the location and magnitude of the peak ground concentration change if the stack height was 120 𝑚? (Plot on the same axes)
 
 
 ### Problem 2
@@ -36,25 +36,24 @@ You are asked to assess the air quality in two cities A and B. The temperature p
 
 * What is the mixing height (H) over each city?
 * Based on the observed temperature profiles, estimate the stability class (A-F) for each city.
-* Determine the vertically averaged velocity between z=0 and z=H. You are told that the wind speed 10 𝑚 above the surface is 𝑢=4 𝑚/𝑠. Note: the velocity profile follows the power law and the vertical average is given by:
+* Determine the vertically averaged velocity between z=0 and z=H. You are told that the wind speed 10 𝑚 above the surface is 𝑢=5 𝑚/𝑠. Note: the velocity profile follows the power law and the vertical average is given by:
 
-
-<img src="https://render.githubusercontent.com/render/math?math=U_{AVG} = \frac{1}{H}\int_0^H u(z)dz">
+![Uavg_equation](data/Uavg_equation.png)
 
 * What is the Dilution Rate (or ventilation coefficient) for each city? 
 * Which city is likely to have better air quality on this day?
-* If both cities are 15 𝑘𝑚 across, what is the residence time over each?
+* If both cities are 25 𝑘𝑚 across, what is the residence time over each?
 
 ![CityACityB](data/CityACityB.png)
 
 
 ### Problem 3
 
-Consider an area-source box model for air pollution above a peninsula of land (see figure below).  The length of the box is 20 km, its width is 90 km, and a radiation inversion restricts mixing to 20 m.  Wind is blowing clean air into the long dimension of the box at 0.5 m/s.  Between 4 and 6 pm there are 300,000 vehicles on the road, each being driven 45 km, and each emitting 4 g/km of CO. 
+Consider an area-source box model for air pollution above a peninsula of land (see figure below).  The length of the box is 30 km, its width is 100 km, and a radiation inversion restricts mixing to 100 m.  Wind is blowing clean air into the long dimension of the box at 0.7 m/s.  Between 4 and 6 pm there are 300,000 vehicles on the road, each being driven 25 km, and each emitting 5 g/km of CO. 
 
 ![BoxModel](data/BoxModel.png)
 
-W = 90 km, L = 20 km, H=20 m, u = 0.5 m/s
+W = 100 km, L = 30 km, H=100 m, u = 0.7 m/s
 
 *  Find the average rate of CO emissions during this two-hour period (g CO/s per m^2 of land).
 * Estimate the concentration of CO at 6 pm if there was no CO in the air at 4 pm.  Assume that CO is conservative (does not decay or change) and that there is instantaneous and complete mixing in the box.

diff --git a/modules/data/.ipynb_checkpoints/Uavg_equation-checkpoint.png b/modules/data/.ipynb_checkpoints/Uavg_equation-checkpoint.png
diff --git a/modules/data/Uavg_equation.png b/modules/data/Uavg_equation.png
diff --git a/modules/lab2/.ipynb_checkpoints/lab2-3-checkpoint.ipynb b/modules/lab2/.ipynb_checkpoints/lab2-3-checkpoint.ipynb
diff --git a/modules/lab2/lab2-3.ipynb b/modules/lab2/lab2-3.ipynb
diff --git a/modules/lab3/.ipynb_checkpoints/lab3-1-answer-checkpoint.ipynb b/modules/lab3/.ipynb_checkpoints/lab3-1-answer-checkpoint.ipynb
diff --git a/modules/lab3/.ipynb_checkpoints/lab3-1-checkpoint.ipynb b/modules/lab3/.ipynb_checkpoints/lab3-1-checkpoint.ipynb
diff --git a/modules/lab3/.ipynb_checkpoints/lab3-2-checkpoint.ipynb b/modules/lab3/.ipynb_checkpoints/lab3-2-checkpoint.ipynb
diff --git a/modules/lab3/.ipynb_checkpoints/lab3-3-checkpoint.ipynb b/modules/lab3/.ipynb_checkpoints/lab3-3-checkpoint.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## lab 3-3:  Stability classes"
+    "## Lab 3-3:  Stability classes"
    ]
   },
   {
@@ -299,7 +299,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/modules/lab3/lab3-1-answer.ipynb b/modules/lab3/lab3-1-answer.ipynb
diff --git a/modules/lab3/lab3-1.ipynb b/modules/lab3/lab3-1.ipynb
diff --git a/modules/lab3/lab3-2.ipynb b/modules/lab3/lab3-2.ipynb
diff --git a/modules/lab3/lab3-3.ipynb b/modules/lab3/lab3-3.ipynb
diff --git a/modules/lab3/lab3-4.ipynb b/modules/lab3/lab3-4.ipynb
@@ -118,7 +118,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.13"
   }
  },
  "nbformat": 4,

diff --git a/modules/module3.md b/modules/module3.md
@@ -21,13 +21,13 @@ Download the lab and data files to your computer. Then, upload them to your Jupy
 
 ### Problem 1
 
-On an overcast day with class C stability, the wind velocity at 10 m is 4 m/s.  The emission rate of NO is 60 g/s from a stack having an effective height of 100 m.  Assume rural conditions.  (You will want to use the lab python notebooks to solve this problem.)
+On an overcast day with class C stability, the wind velocity at 10 m is 5 m/s.  The emission rate of an atmospheric pollutant is 65 g/s from a stack having an effective height of 100 m.  Assume rural conditions.  (You will want to use the lab python notebooks to solve this problem.)
 
-* Estimate the center-line, ground-level concentration 18 km downwind from the stack, in micrograms per cubic meter. 
-* Estimate the ground-level concentration 18 km downwind and 800 m from the stack center line, in micrograms per cubic meter.
+* Estimate the center-line, ground-level concentration 22 km downwind from the stack, in micrograms per cubic meter. 
+* Estimate the ground-level concentration 22 km downwind and 650 m from the stack center line, in micrograms per cubic meter.
 * Calculate and plot the centerline ground level concentration versus distance from the stack (C(x)). 
 * From the plot, estimate the magnitude and location of the peak ground concentration.
-* How would the location and magnitude of the peak ground concentration change if the stack height was 150 𝑚? (Plot on the same axes)
+* How would the location and magnitude of the peak ground concentration change if the stack height was 120 𝑚? (Plot on the same axes)
 
 
 ### Problem 2
@@ -36,25 +36,24 @@ You are asked to assess the air quality in two cities A and B. The temperature p
 
 * What is the mixing height (H) over each city?
 * Based on the observed temperature profiles, estimate the stability class (A-F) for each city.
-* Determine the vertically averaged velocity between z=0 and z=H. You are told that the wind speed 10 𝑚 above the surface is 𝑢=4 𝑚/𝑠. Note: the velocity profile follows the power law and the vertical average is given by:
+* Determine the vertically averaged velocity between z=0 and z=H. You are told that the wind speed 10 𝑚 above the surface is 𝑢=5 𝑚/𝑠. Note: the velocity profile follows the power law and the vertical average is given by:
 
-
-<img src="https://render.githubusercontent.com/render/math?math=U_{AVG} = \frac{1}{H}\int_0^H u(z)dz">
+![Uavg_equation](data/Uavg_equation.png)
 
 * What is the Dilution Rate (or ventilation coefficient) for each city? 
 * Which city is likely to have better air quality on this day?
-* If both cities are 15 𝑘𝑚 across, what is the residence time over each?
+* If both cities are 25 𝑘𝑚 across, what is the residence time over each?
 
 ![CityACityB](data/CityACityB.png)
 
 
 ### Problem 3
 
-Consider an area-source box model for air pollution above a peninsula of land (see figure below).  The length of the box is 20 km, its width is 90 km, and a radiation inversion restricts mixing to 20 m.  Wind is blowing clean air into the long dimension of the box at 0.5 m/s.  Between 4 and 6 pm there are 300,000 vehicles on the road, each being driven 45 km, and each emitting 4 g/km of CO. 
+Consider an area-source box model for air pollution above a peninsula of land (see figure below).  The length of the box is 30 km, its width is 100 km, and a radiation inversion restricts mixing to 100 m.  Wind is blowing clean air into the long dimension of the box at 0.7 m/s.  Between 4 and 6 pm there are 300,000 vehicles on the road, each being driven 25 km, and each emitting 5 g/km of CO. 
 
 ![BoxModel](data/BoxModel.png)
 
-W = 90 km, L = 20 km, H=20 m, u = 0.5 m/s
+W = 100 km, L = 30 km, H=100 m, u = 0.7 m/s
 
 *  Find the average rate of CO emissions during this two-hour period (g CO/s per m^2 of land).
 * Estimate the concentration of CO at 6 pm if there was no CO in the air at 4 pm.  Assume that CO is conservative (does not decay or change) and that there is instantaneous and complete mixing in the box.

diff --git a/overview/.ipynb_checkpoints/README-checkpoint.md b/overview/.ipynb_checkpoints/README-checkpoint.md
@@ -0,0 +1,7 @@
+---
+sort: 1
+---
+
+# Overview
+
+{% include list.liquid all=true %}
diff --git a/resources/.ipynb_checkpoints/b-learning-jupyter-checkpoint.md b/resources/.ipynb_checkpoints/b-learning-jupyter-checkpoint.md
@@ -18,7 +18,7 @@ While it is possible to [run Jupyter Notebooks locally on your own computer](#),
 
 ### Getting started on our JupyterHub
 
-1. Open a web browser and go to this URL: [https://rttl.axdd.s.uw.edu/2021-autumn-cee-465-a/](https://rttl.axdd.s.uw.edu/2021-autumn-cee-465-a) (bookmark the page for easier access).
+1. Open a web browser and go to this URL: [https://jupyter.rttl.uw.edu/2024-spring-cee-348-a](https://jupyter.rttl.uw.edu/2024-spring-cee-348-a) (bookmark the page for easier access).
 
 2. Click on *Sign in with University of Washingotn NetID*, enter your username and password:
 ![jupyter startup 1](images/jupyter-help/jupyter1.JPG)

diff --git a/resources/b-learning-jupyter.md b/resources/b-learning-jupyter.md
@@ -18,7 +18,7 @@ While it is possible to [run Jupyter Notebooks locally on your own computer](#),
 
 ### Getting started on our JupyterHub
 
-1. Open a web browser and go to this URL: [https://rttl.axdd.s.uw.edu/2021-autumn-cee-465-a/](https://rttl.axdd.s.uw.edu/2021-autumn-cee-465-a) (bookmark the page for easier access).
+1. Open a web browser and go to this URL: [https://jupyter.rttl.uw.edu/2024-spring-cee-348-a](https://jupyter.rttl.uw.edu/2024-spring-cee-348-a) (bookmark the page for easier access).
 
 2. Click on *Sign in with University of Washingotn NetID*, enter your username and password:
 ![jupyter startup 1](images/jupyter-help/jupyter1.JPG)