The document discusses the Keetch-Byram Drought Index (KBDI), which estimates wildfire risk based on precipitation and temperature data. It provides instructions for using an online KBDI calculation tool. The tool allows users to input daily weather data, select calculation options like output frequency and field capacity, generate KBDI outputs, and export results or plot them in graphs. Charts can be generated in linear, boxplot, or column styles and exported as image files. The tool automates the KBDI calculations and allows visualization of drought trends over time.
Carbon viz – a web based data visualization for carbon dioxide emissionAman Tewary
CarbonViz is a web-based data visualization for monitoring CO2 Emissions, Emissions Per Capita and Emissions Per Dollar of GDP from year 1990 to 2011 and to provide its user with a comprehensive understanding of the change occurred across the globe.
Creating different calculated fields in Tableau.
Data set link : https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/India_Life_Expectancy.xlsx
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
Contents:
Surface Area Calculation by Observing Points
Remote Elevation Measurement (REM):
Out Putting JOB Data.
Point Processing
How to Import text Data file to Excel .
-Survey Work.
-Outputting JOB Data to Host Computer PROCEDURE.
3.USING USB MEMORY DEVICE
Storing JOB Data to USB Memory device.
-When S type is selected.
PROCEDURE Reading Known
Point Data.
-Point Processing
-How to Import text Data file to Excel.
Thanks for all
Asst. Prof. Salar K.Hussein
Mr. Kamal Y.Abdullah
Asst.Lecturer. Dilveen H. Omar
Erbil Polytechnic University
Technical Engineering College
Civil Engineering Department
WinEst As 1. Es2. Tassignment stInfo (Esti.docxalanfhall8953
WinEst As
1. Es
2. Ta
ssignment
stInfo (Estim
a. Name
b. Due:
c. Estima
d. Start
e. Estima
f. Rate
i.
ii.
ake Off (Ite
mate Inform
e: Driveway
1 month fro
ate Type: B
Date: Toda
ate Status:
Tables:
Sample L
Sample E
ems)
P
C
mation)
y Proposal
om today
udgetary
ay
Submitted
abor Rates
quipment R
Page 1 of 2
COMPU
Rates
TERS FO
Engi
OR CONS
TEC
neering Tec
Un
Colleg
STRUCTI
CHNOLO
hnology Pro
niversity of To
ge of Engine
ON
OGY
gram
oledo
eering
Page 2 of 2
3. Adding Markups
a. Add Net Markup
i. Name: Overhead and Profit
ii. Type: 15%
b. Add Sales Tax
i. Name: Sales Tax
ii. Type: 6.5%
iii. Restrict this Tax Markup to: Material
4. Print Report
a. Report 1:
i. Sheet View, set Filter to “’95 Div Details”
ii. File -> Print Preview -> Style
1. Layout: Landscape
2. Header/Footer -> Custom Header
a. Left Text (Use Field Tags…)
i. Est Info – Project Name
ii. Est Info – Start Date
iii. Est Info – Due Date
b. Center Text (Use Field Tags…)
i. Est Info – Type
ii. Est Info – Status
c. Right Text
i. Name
ii. Professor Name
iii. Class
iv. Date
b. Report 2:
i. Totals View
ii. File -> Print Preview
1. Ensure the Layout and Headers match Report 1
5. DUE: Monday, April 7, 2014 by 5:00 pm
1
Getting Started with WinEst
Sample Exercise v10.1
Professional Cost Estimating and Budgeting
Things you need to know about WinEst
Pull Down Menus & Tool Bars
There are different ways to view your toolbar in WinEst. Here are 2 examples. If you prefer large toolbar buttons,
select ‘Preferences’ from the ‘Tools’ menu option. Now select the Toolbars option from the displayed list of
preferences. To the right, under ‘Style’, change the Images to ‘Large’. Click OK.
Toolbar - Small Images with Short Text
Toolbar - Large Images with Text
WinEst has pull down menus for each of the following - File, Edit, View, Filters, Tables, Tools, Database, Reports,
Custom, Window and Help. When the mouse is clicked on one of these menu items, a list drops down and the
available commands display for that menu. Scan the menus to see the features available in the WinEst program.
Help
Help is always available. You can select the Contents command on the Help menu or press the F1 key to view
help.
2
Navigating in WinEst
WinEst has three main views. These enable you to follow a structured method for building and reviewing your
estimates. You can move from view to view at any time by clicking one of the corresponding toolbar buttons
(‘Takeoff’, ‘Sheet’ and ‘Totals’) or by making selections from the ‘View’ Menu.
Takeoff View
This view is for adding items to your estimate from the price book Database. From here you can:
• Lookup items in the database
• Perform takeoff calculations
• Assign Work Breakdown Structures (WBS) to items
• Analyze the Item takeoff audit trail
• Enter unique, “one time” items
• Add notes to it.
CSMT 442: Cost and Estimating II
Reflection Paper (5%): 1-2 pages-Single space
Critically think, analyze, and present a review of what is covered throughout the semester. State
the importance of what you have learned and how you can/plan to incorporate them in your
career in the construction industry. Additionally, you can rate on 1-10 point scale your
understanding of the various aspects of the course covered and/or how you feel confident with
them in application and beyond. Be sincere and detailed as much as possible in your discussion,
including the online/virtual portion of the second part of the semester (5% of your course
grade).
6210 Week 11 Discussion: How To Complete The Discussion Requirement
Review the Week 11 Course Materials.
Use the General Social Survey (GSS) dataset for this Discussion
Identify a categorical (nominal or ordinal) independent variable and a categorical dependent variable.
Write a research question for a Chi-Square Test of Independence. Use this format:
- What is the relationship between (state the IV) and (state the DV)?
Write the null hypothesis. Use this format:
-There is no relationship between (state the IV) and (state the DV).
State the research design. Here are your choices:
-Descriptive
-Correlational
-Causal-Comparative/Quasi-Experimental
-Experimental
Use SPSS to answer the research question. Here’s how:
-Open the GSS data set, select Analyze, select Descriptive Statistics, select Crosstabs, drag your IV into the Rows box, drag your DV into the Columns box, Click on Statistics, select Chi-square and Phi and Cramer’s V, select Continue, select Cells, select Observed, Rows, Columns and Totals, select Continue and OK.
-Review the Asymptotic Significance value in the Pearson Chi-Square row of the Chi-Squared Tests SPSS Output and decide to reject or fail to reject the null hypothesis.
Remember, if the Sig. value is less than .05, reject the null and if the Sig. value is greater than .05, fail to reject the null.
-If you reject the null and determine that the Chi-Square is statistically significant, report and explain (weak, medium, strong) the effect size. Use the Cramer’s V value in the Symmetric Measures box for effect size
If you fail to reject the null and find that the Chi-Square is not statistically significant, then there is no need to report or explain the effect size.
3/2/2021
1
Site works-Excavation
Lecture 7
2
Division 2 – Existing
Conditions
Surveys
Geotechnical Investigation
Site Demolition
Transportation and Disposal of Hazardous
Materials
Asbestos Remediation
Lead Remediation
Mold Remediation
3/2/2021
2
3
BCN 5618 4
3/2/2021
3
5
Division 31 - Earthwork
Site Clearing
Earth Stripping & Stockpiling
Excavation and Fill
Erosion and Sedimentation Control
Dewatering
Excavation Support/Protection
6
Earthwork
Specifications
Exces ...
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Carbon viz – a web based data visualization for carbon dioxide emissionAman Tewary
CarbonViz is a web-based data visualization for monitoring CO2 Emissions, Emissions Per Capita and Emissions Per Dollar of GDP from year 1990 to 2011 and to provide its user with a comprehensive understanding of the change occurred across the globe.
Creating different calculated fields in Tableau.
Data set link : https://github.com/kanikanagpal257/Tableau-Datasets/blob/master/India_Life_Expectancy.xlsx
Training materials developed with peers at Columbia University for Google, Inc. These materials illustrate methods to incorporate JavaScript into Google Earth Engine to generate relevant products for stakeholders using climate data.
Contents:
Surface Area Calculation by Observing Points
Remote Elevation Measurement (REM):
Out Putting JOB Data.
Point Processing
How to Import text Data file to Excel .
-Survey Work.
-Outputting JOB Data to Host Computer PROCEDURE.
3.USING USB MEMORY DEVICE
Storing JOB Data to USB Memory device.
-When S type is selected.
PROCEDURE Reading Known
Point Data.
-Point Processing
-How to Import text Data file to Excel.
Thanks for all
Asst. Prof. Salar K.Hussein
Mr. Kamal Y.Abdullah
Asst.Lecturer. Dilveen H. Omar
Erbil Polytechnic University
Technical Engineering College
Civil Engineering Department
WinEst As 1. Es2. Tassignment stInfo (Esti.docxalanfhall8953
WinEst As
1. Es
2. Ta
ssignment
stInfo (Estim
a. Name
b. Due:
c. Estima
d. Start
e. Estima
f. Rate
i.
ii.
ake Off (Ite
mate Inform
e: Driveway
1 month fro
ate Type: B
Date: Toda
ate Status:
Tables:
Sample L
Sample E
ems)
P
C
mation)
y Proposal
om today
udgetary
ay
Submitted
abor Rates
quipment R
Page 1 of 2
COMPU
Rates
TERS FO
Engi
OR CONS
TEC
neering Tec
Un
Colleg
STRUCTI
CHNOLO
hnology Pro
niversity of To
ge of Engine
ON
OGY
gram
oledo
eering
Page 2 of 2
3. Adding Markups
a. Add Net Markup
i. Name: Overhead and Profit
ii. Type: 15%
b. Add Sales Tax
i. Name: Sales Tax
ii. Type: 6.5%
iii. Restrict this Tax Markup to: Material
4. Print Report
a. Report 1:
i. Sheet View, set Filter to “’95 Div Details”
ii. File -> Print Preview -> Style
1. Layout: Landscape
2. Header/Footer -> Custom Header
a. Left Text (Use Field Tags…)
i. Est Info – Project Name
ii. Est Info – Start Date
iii. Est Info – Due Date
b. Center Text (Use Field Tags…)
i. Est Info – Type
ii. Est Info – Status
c. Right Text
i. Name
ii. Professor Name
iii. Class
iv. Date
b. Report 2:
i. Totals View
ii. File -> Print Preview
1. Ensure the Layout and Headers match Report 1
5. DUE: Monday, April 7, 2014 by 5:00 pm
1
Getting Started with WinEst
Sample Exercise v10.1
Professional Cost Estimating and Budgeting
Things you need to know about WinEst
Pull Down Menus & Tool Bars
There are different ways to view your toolbar in WinEst. Here are 2 examples. If you prefer large toolbar buttons,
select ‘Preferences’ from the ‘Tools’ menu option. Now select the Toolbars option from the displayed list of
preferences. To the right, under ‘Style’, change the Images to ‘Large’. Click OK.
Toolbar - Small Images with Short Text
Toolbar - Large Images with Text
WinEst has pull down menus for each of the following - File, Edit, View, Filters, Tables, Tools, Database, Reports,
Custom, Window and Help. When the mouse is clicked on one of these menu items, a list drops down and the
available commands display for that menu. Scan the menus to see the features available in the WinEst program.
Help
Help is always available. You can select the Contents command on the Help menu or press the F1 key to view
help.
2
Navigating in WinEst
WinEst has three main views. These enable you to follow a structured method for building and reviewing your
estimates. You can move from view to view at any time by clicking one of the corresponding toolbar buttons
(‘Takeoff’, ‘Sheet’ and ‘Totals’) or by making selections from the ‘View’ Menu.
Takeoff View
This view is for adding items to your estimate from the price book Database. From here you can:
• Lookup items in the database
• Perform takeoff calculations
• Assign Work Breakdown Structures (WBS) to items
• Analyze the Item takeoff audit trail
• Enter unique, “one time” items
• Add notes to it.
CSMT 442: Cost and Estimating II
Reflection Paper (5%): 1-2 pages-Single space
Critically think, analyze, and present a review of what is covered throughout the semester. State
the importance of what you have learned and how you can/plan to incorporate them in your
career in the construction industry. Additionally, you can rate on 1-10 point scale your
understanding of the various aspects of the course covered and/or how you feel confident with
them in application and beyond. Be sincere and detailed as much as possible in your discussion,
including the online/virtual portion of the second part of the semester (5% of your course
grade).
6210 Week 11 Discussion: How To Complete The Discussion Requirement
Review the Week 11 Course Materials.
Use the General Social Survey (GSS) dataset for this Discussion
Identify a categorical (nominal or ordinal) independent variable and a categorical dependent variable.
Write a research question for a Chi-Square Test of Independence. Use this format:
- What is the relationship between (state the IV) and (state the DV)?
Write the null hypothesis. Use this format:
-There is no relationship between (state the IV) and (state the DV).
State the research design. Here are your choices:
-Descriptive
-Correlational
-Causal-Comparative/Quasi-Experimental
-Experimental
Use SPSS to answer the research question. Here’s how:
-Open the GSS data set, select Analyze, select Descriptive Statistics, select Crosstabs, drag your IV into the Rows box, drag your DV into the Columns box, Click on Statistics, select Chi-square and Phi and Cramer’s V, select Continue, select Cells, select Observed, Rows, Columns and Totals, select Continue and OK.
-Review the Asymptotic Significance value in the Pearson Chi-Square row of the Chi-Squared Tests SPSS Output and decide to reject or fail to reject the null hypothesis.
Remember, if the Sig. value is less than .05, reject the null and if the Sig. value is greater than .05, fail to reject the null.
-If you reject the null and determine that the Chi-Square is statistically significant, report and explain (weak, medium, strong) the effect size. Use the Cramer’s V value in the Symmetric Measures box for effect size
If you fail to reject the null and find that the Chi-Square is not statistically significant, then there is no need to report or explain the effect size.
3/2/2021
1
Site works-Excavation
Lecture 7
2
Division 2 – Existing
Conditions
Surveys
Geotechnical Investigation
Site Demolition
Transportation and Disposal of Hazardous
Materials
Asbestos Remediation
Lead Remediation
Mold Remediation
3/2/2021
2
3
BCN 5618 4
3/2/2021
3
5
Division 31 - Earthwork
Site Clearing
Earth Stripping & Stockpiling
Excavation and Fill
Erosion and Sedimentation Control
Dewatering
Excavation Support/Protection
6
Earthwork
Specifications
Exces ...
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
1. 1
What is the KBDI index?
In order to estimate flammability in forest and wild land areas of USA, Keetch and Byram
(1968) developed a drought index namely Keetch-Byram drought index (KBDI).
Conceptually, using daily precipitation and daily maximum temperature, KBDI has the
potential to describe moisture deficiency in upper soil layer (Keetch and Byram 1968). KBDI
that use minimum number of meteorological parameters (precipitation, maximum
temperature), was originally developed for the southeastern forest of the United States and has
been extensively used for fire potential assessment in the U.S. (Keetch and Byram 1968). This
index, which conceptually describes the soil moisture (Dolling et al. 2005) with several simple
criteria, is based on the amount of daily precipitation, daily maximum temperature and mean
annual precipitation. The output varies from 0 to 800, where 0 represents the soil saturation
and 800 indicates the most severe drought. Generally, the output is categorized into four classes
with 200 intervals. Each class represents a particular concept. More detailed explanation for
the calculations of this index can be found in Keetch and Byram (1968) and Janis et al. (2002).
How can we run KBDIS Tool?
For running this tool, please track following steps, and if you have further
questions do not hesitate to contact us with the email: kolsoumi57@gmail.com
Step 1. Registration
Since the KBDIS is free, first of all the user should register with his/her
characteristics such as name, Email address, and … then by clicking on the “Approve
cite to this paper…” (Fig. 1, No. 1) you can finally click on “Send” button.
2. 2
Step 2. Input Data
In this step, the user can select the input file by clicking the “Input Excel File” tab (Fig. 2, No. 1).
By clicking the “Open File” button (Fig. 2, No. 2), and then user can select the desirable sheet
(Fig. 2, No. 3).
Notice: Be careful, the input data should be in daily scale.
Fig 1. The first screen of the KBDIS for registration.
1
Fig 2. The input step with different settings.
1
2
3
3. 3
After data loads, then user needs to identify the input data, namely date, maximum temperature,
and rain (or precipitation). By clicking on every column, the user can determine the data. If the
data file has header, the user should click the “First row is header” (Fig.3, No. 1). After all these
settings, finally, the user can press the “Load Data” button (Fig.3, No. 2).
Step 3. KBDI Calculator Tab
In this step, by selecting the “KBDI Calculator Tab”, the user can identify the “start” and “End”
of the input data period. If the user wants to change this period - according to the range of input
file- he/she can do it. In “Frequently” section the user can select the scale of output data, namely,
“Daily”, “Monthly”, “Seasonally”, and “Yearly” (Fig. 4, No. 1). One of the advantage of KBDIS
is the option for field capacity. With this option, the user can fill this option according to the type
of study area’s soil. For example in this sample, we write 20 for the field capacity (Fig. 4, No. 2).
Then, the user can press the “Generate” button. After generating, the user can see this message:
“KBDI was calculated” (Fig. 4, No. 3).
Fig 3. The input step with different settings.
1
2
4. 4
With clicking “Send to table” button, the output of KBDI’s result will show on the right table. In
addition, the user can easily export the result to excel file (Fig. 5).
Fig 4. The “KBDI Calculator” tab.
Fig 5. The settings of KBDI’s calculate
1
2
3
5. 5
After the KBDI‘s output results calculated, then for plotting the output, the user can determine the
style of chart, color and the title of output chart. In this tool, there are a color plot that the user can
easily select a desirable color for the graph. There are three types of plot in this tool, namely,
“Linear”, “Boxplot”, and “Columnar” (Fig. 6).
For drawing charts, we select yearly format with “Box-Plot” type. As you can see in Fig. 7, we
plot the KBDI‘s yearly output for over the period of 1979-2014. For the title, we write “Output of
KBDI”, and the user can easily write every things that he/she wants. By clicking on the “H-line”,
the user can view the horizontal line in the graph. If the user wants to make a grayscale chart,
he/she can check the “Grayscale” box, easily (Fig. 7).
In Fig. 8, we plot another type of box-plot, namely “seasonally”. When the user calculates KBDI
in “Seasonally” format in the “Frequency” option (Fig. 8, No.1), then he can plot the output box-
plot, in the form of seasonally for every season (Fig. 8). Finally, the user can export the graphs in
to .png format file, by clicking “Plot2Pic” tab.
Fig 6. The settings for determine color and other characteristics of graph.
6. 6
Fig 7. The “Box-Plot” chart.
Fig 8. The seasonally scale for KBDI output.
1