Data is shown for one location in south Harris County (Clear Creek at I-45) where two near "1000 year floods" based on Harris County Flood Warning System 100 year flood, 500 year flood data within 40 years (in 1979 and 2017)
Ocean currents are driven by factors like the sun, wind, gravity and the Coriolis effect. Warm currents flow away from the equator while cold currents flow toward it. Surface currents are caused by wind patterns and form circular ocean gyres, while deep water currents are driven by differences in water density related to temperature and salinity. Major currents like the Gulf Stream transport heat around the oceans and influence global climate patterns.
Tsunamis are caused by sudden displacements of large amounts of water, usually due to undersea earthquakes or volcanic eruptions. As the energy travels through the ocean, it forms long waves known as tsunami waves. When tsunamis reach land, they can cause tremendous damage by destroying buildings, infrastructure, and anything in their path. The effects of a tsunami go beyond initial destruction - they often result in long-term consequences like economic losses, health issues from contaminated water, and psychological trauma for survivors.
Ocean currents are influenced by factors like the sun, wind, Coriolis effect, and gravity. Warm currents generally flow away from the equator while cold currents flow toward it. The sun heats water in the tropics, making it less dense and causing it to rise and flow poleward. Wind pushes surface water and the Coriolis effect causes it to curve, forming giant circular gyres in ocean basins. Examples are the Gulf Stream, which brings warmer water to northwest Europe. Upwelling occurs when offshore winds pull surface waters, causing deeper cold water to rise.
This document discusses hurricanes and tropical storms. It provides information on what is needed to form a hurricane, when they typically occur, and differences in terminology used in different regions of the world. Key details include hurricanes forming from late August to November in the Atlantic Ocean, cyclones occurring in the Southwest Indian Ocean, and typhoons occurring in the Northwest Pacific Ocean west of the dateline. The document also explains how the Coriolis effect causes hurricanes to spin in the opposite direction of normal atmospheric circulation in their respective hemispheres.
Natural disasters are caused by natural forces that are beyond human control and result in property damage and loss of life. Some common natural disasters include earthquakes, tsunamis, floods, droughts, cyclones, tornadoes, and volcanoes. An earthquake is caused by vibrations within the earth's crust and the intensity is measured on the Richter scale. Tsunamis are a series of long waves generated by displacement of the sea bed, often caused by earthquakes under the sea. Flash floods occur in low-lying areas due to heavy rainfall from severe thunderstorms. Understanding the causes of natural disasters can help provide clues to prevent damage and save lives.
The regular rise and fall of water levels along a shore is caused by tides. Tides are primarily caused by the gravitational pull of the moon on Earth's oceans, which causes the water to bulge on the side facing the moon. Sometimes when the sun, moon, and Earth are aligned, the combined gravitational pull results in especially strong spring tides with higher high tides and lower low tides, while neap tides with weaker gravitational pull result in smaller differences between high and low tides.
This document provides information about watersheds and recent flooding in Colorado. It discusses how watersheds work and defines key terms. It then summarizes details about the St. Vrain River watershed and Colorado's history of floods. The document shares images and descriptions of the devastating impacts of the most recent floods in September 2013. It explains contributing weather patterns and extraordinary rainfall levels. Finally, it provides suggestions for how readers can help support flood relief and recovery efforts.
This document discusses different natural disasters and focuses on tsunamis. It states that tsunamis can be caused by volcanoes, earthquakes, or landslides underwater. For volcanoes, an eruption under the sea can break pieces of the volcano that fall into the water and cause pressure increases that result in huge waves. Earthquakes beneath the ocean floor can also displace water and slowly generate enormous tsunami waves. Landslides into bodies of water function similarly by adding pressure from displaced material, forcing water upwards and creating gigantic waves.
Ocean currents are driven by factors like the sun, wind, gravity and the Coriolis effect. Warm currents flow away from the equator while cold currents flow toward it. Surface currents are caused by wind patterns and form circular ocean gyres, while deep water currents are driven by differences in water density related to temperature and salinity. Major currents like the Gulf Stream transport heat around the oceans and influence global climate patterns.
Tsunamis are caused by sudden displacements of large amounts of water, usually due to undersea earthquakes or volcanic eruptions. As the energy travels through the ocean, it forms long waves known as tsunami waves. When tsunamis reach land, they can cause tremendous damage by destroying buildings, infrastructure, and anything in their path. The effects of a tsunami go beyond initial destruction - they often result in long-term consequences like economic losses, health issues from contaminated water, and psychological trauma for survivors.
Ocean currents are influenced by factors like the sun, wind, Coriolis effect, and gravity. Warm currents generally flow away from the equator while cold currents flow toward it. The sun heats water in the tropics, making it less dense and causing it to rise and flow poleward. Wind pushes surface water and the Coriolis effect causes it to curve, forming giant circular gyres in ocean basins. Examples are the Gulf Stream, which brings warmer water to northwest Europe. Upwelling occurs when offshore winds pull surface waters, causing deeper cold water to rise.
This document discusses hurricanes and tropical storms. It provides information on what is needed to form a hurricane, when they typically occur, and differences in terminology used in different regions of the world. Key details include hurricanes forming from late August to November in the Atlantic Ocean, cyclones occurring in the Southwest Indian Ocean, and typhoons occurring in the Northwest Pacific Ocean west of the dateline. The document also explains how the Coriolis effect causes hurricanes to spin in the opposite direction of normal atmospheric circulation in their respective hemispheres.
Natural disasters are caused by natural forces that are beyond human control and result in property damage and loss of life. Some common natural disasters include earthquakes, tsunamis, floods, droughts, cyclones, tornadoes, and volcanoes. An earthquake is caused by vibrations within the earth's crust and the intensity is measured on the Richter scale. Tsunamis are a series of long waves generated by displacement of the sea bed, often caused by earthquakes under the sea. Flash floods occur in low-lying areas due to heavy rainfall from severe thunderstorms. Understanding the causes of natural disasters can help provide clues to prevent damage and save lives.
The regular rise and fall of water levels along a shore is caused by tides. Tides are primarily caused by the gravitational pull of the moon on Earth's oceans, which causes the water to bulge on the side facing the moon. Sometimes when the sun, moon, and Earth are aligned, the combined gravitational pull results in especially strong spring tides with higher high tides and lower low tides, while neap tides with weaker gravitational pull result in smaller differences between high and low tides.
This document provides information about watersheds and recent flooding in Colorado. It discusses how watersheds work and defines key terms. It then summarizes details about the St. Vrain River watershed and Colorado's history of floods. The document shares images and descriptions of the devastating impacts of the most recent floods in September 2013. It explains contributing weather patterns and extraordinary rainfall levels. Finally, it provides suggestions for how readers can help support flood relief and recovery efforts.
This document discusses different natural disasters and focuses on tsunamis. It states that tsunamis can be caused by volcanoes, earthquakes, or landslides underwater. For volcanoes, an eruption under the sea can break pieces of the volcano that fall into the water and cause pressure increases that result in huge waves. Earthquakes beneath the ocean floor can also displace water and slowly generate enormous tsunami waves. Landslides into bodies of water function similarly by adding pressure from displaced material, forcing water upwards and creating gigantic waves.
Truth how texas and houston compare to new yorkJames Orr
June 14, 2020 Much In News About Growth In Cases In Houston, and Texas. This presents data that shows superior statistics for Houston and Texas versus New York State and New York City. Number (and rates per 100,000 Population) need t o compare Houston now to New York City in four to six weeks after reopening.
Covid 19 cases per day per 100,000 popylation 5-15-2020James Orr
More weekly update. Focused on average new cases per week, change in cases per week, and average new cases per week per 100,000 population. Provides graphs on six "no doing well states" and detail data in tabular form on all states
Coronavirus data focused on new york comparison and data per populationJames Orr
Continues my weekly report. This focus on (new cases per day) per 100,000 population. Uses a nine day moving average (to remove day to day effects over the week). All states compare to New York State with highest 50 new cases per day per 100K. For states who are at very low levels, also show data for that state with both 0 to 60 scale (with New York) and 0 to 5 cases per day per 100K scale.
Us coronavirus data as of may 1, 2020 just dataJames Orr
170 pages this week, but just data on Coronavirus cases in US by state.
Includes the best measure found so far -- Average weekly new cases per day per 100,000 population
Page 4 – 8 are alphabetical by state total cases, max cases per day, 4-24 to 5/1 average cases per day, plus normalized by 100,000 population. Has which 3 charts numbers for detail data per state
Pages 9 – 13 are from state with the highest cases per 100,000 population (New York) to least (Montana). Also shows average new cases per day per 100,000 population in descending order.
Page 14 has distributions of cases/100,000 and new cases per day per 100,000. Also shows the ration of weekly new cases 4/24 to 5/1 divided maximum weekly new case.
Note that for 21 states (and Total US, and District of Columba) had the maximum weekly new cases during 4/24 to 5/1
Predicting coronavirus cases and questions need answeringJames Orr
Another weekend, and another attempt to make sense out of the Coronavirus Case data from states in the United States. Overall, cases per day remain flat (on plateau) with no decline in data. However, other indications suggest increasing irrelevant to use new cases per day for social policy decisions. Indication that new hospitalizations per day might be a better measure.
Criteria to begin relaxing social distancing revision AJames Orr
Latest weekly update (on weekend) of my projection of the number of Coronavirus case per day by state. Prior predictions modeled following three weeks. Mode VII two weeks ago and Model IX on week ago appear as accurate as randomness in data allows, or new pockets of outbreaks. This version looks at where states are at plateauing or being pose peak new cases per day. Also looks at criteria to begin to relax social distancing guidelines. Revision A corrects Alaska (missing a 0) and Nevada population (one extra 0).
Measuring the effect of social distancing On CoronavirusJames Orr
This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
04/05/2020. The United States looks for signs that new Coronavirus Cases per day has started to decrease. We may be close, but not there yet. This presentation looks at changes in Case for United States and a few states. It looks at Cases versus date, first derivative (Growth In Cases Per Day) and finally the second delivery (which show how rapidly the growth per day is decreasing).
Orr's model vii projection of cases to 4 16-2020 created 04-03-2020James Orr
Updated with Model VII which has a much sharper decrease in Case Growth Per Day. Model VII achieves peak New Cases per Day within the two week project, while Model VI New Cases continues to grow over the 14 days.
Orr's model vi projection of cases to 4 16-2020 created 04-03-2020James Orr
This is the latest weekly update of my projection of Coronavirus Cases over the next fourteen days. Projection two weeks ago was too low (assumed control of spread). Projection on week ago assumed no change in Growth Rate % of cases per day. This version used trend in Growth Rate % cases per day to extrapolate reducing Growth Rate per day over the next 14 days. This should be much more accurate if continued progress in "social distancing" occurs.
Latest Projection Of Cases By State For Next 15 Day.
Average growth abut 30 % per day (expect to be lower).
Uses average growth per day from 3-21 to 3-28 to project ahead 14 days.
Coronavirus cases by state - projections for growther from 03-21-2020 to 04-...James Orr
The document provides a projection of coronavirus cases in the United States from March 22, 2020 to April 21, 2020 using a model (Model IV) developed by James K. Orr. It projects the maximum number of cases for each US state over this time period based on current case numbers as of March 21, 2020 and average daily growth rates over the previous 3 days for each state. It notes that the projections provide an optimistic scenario that depends on actions by governments and mercy from God. Tables with projections for each state are also included.
Coronavirus pandemic public health - lessons in mathematicsJames Orr
This was prepared for a mathematical literate (honors) young teenage girl. This introduces risk assessment and risk mitigation using Public Health Measures. Also includes a mathematical tuitorial.
Coronavirus case growth by country j.k.orr 2020 03-07James Orr
An attempt to model growth of the Coronavirus case growth in a country from the time the total cases reach 225 cases for the next 10 days. Model is ONLY VALID for these 10 days. Model is dependent that data provided by countries are accurate. Raw data from Mainland China, South Korea, Italy, and Iran as of 3/6/2020.
2018 is year to consider conversions of tax deferred funds to rothJames Orr
With the 2018 tax law changes, converting tax-deferred savings into Roth IRAs is advantageous for those who can pay the income taxes. For individuals on Medicare, there are income thresholds that impact Medicare premium costs that must be considered when deciding how much to convert. Converting just under the $267,000 threshold may be best for married couples expecting to complete conversions while both are alive. For those needing access to funds sooner, determining the optimal strategy can be more complicated.
Effect of tax cut and job act for couples over 65James Orr
Captures some of my analysis of the effect of Thrump's "Tax Cut and Job Act" on my strategy for managing my pre-tax IRA funds. Specially written for couples over 65 on Medicare due to the effect of Gross Taxable Income on both federal income tax and Medicare Premiums. Identifies general tax planning strategies and also identifies a largely unaddressed risk, which is effect of change in income tax filing status when a spouse dies (from "Married Filing Jointly" to filing as "Single").
Hurricane harvey Impact On Houston Rainfall and Water DepthJames Orr
Screen prints of selected data from Harris County Flood Control District. There are rain gauges and stream depth gauges through out Harris and surrounding counties. Data was captured to show impacts in several areas including the Clear Creek Watershed near NASA's Johnson Space Center.
Software Reliability For Engineers - J.K.Orr 2015-09-23James Orr
This document describes a simplified engineering approach for computing software reliability that was developed for and applied to the Space Shuttle Primary Avionics Software System (PASS). The approach models the software as uniform layers representing releases. It computes reliability estimates based on failure data for each layer over time. The approach was found to more accurately predict reliability than a complex statistical model. The key advantages are that it accounts for changes in reliability characteristics over time due to process improvements and can estimate reliability prior to failures occurring based on relative size of software releases.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Truth how texas and houston compare to new yorkJames Orr
June 14, 2020 Much In News About Growth In Cases In Houston, and Texas. This presents data that shows superior statistics for Houston and Texas versus New York State and New York City. Number (and rates per 100,000 Population) need t o compare Houston now to New York City in four to six weeks after reopening.
Covid 19 cases per day per 100,000 popylation 5-15-2020James Orr
More weekly update. Focused on average new cases per week, change in cases per week, and average new cases per week per 100,000 population. Provides graphs on six "no doing well states" and detail data in tabular form on all states
Coronavirus data focused on new york comparison and data per populationJames Orr
Continues my weekly report. This focus on (new cases per day) per 100,000 population. Uses a nine day moving average (to remove day to day effects over the week). All states compare to New York State with highest 50 new cases per day per 100K. For states who are at very low levels, also show data for that state with both 0 to 60 scale (with New York) and 0 to 5 cases per day per 100K scale.
Us coronavirus data as of may 1, 2020 just dataJames Orr
170 pages this week, but just data on Coronavirus cases in US by state.
Includes the best measure found so far -- Average weekly new cases per day per 100,000 population
Page 4 – 8 are alphabetical by state total cases, max cases per day, 4-24 to 5/1 average cases per day, plus normalized by 100,000 population. Has which 3 charts numbers for detail data per state
Pages 9 – 13 are from state with the highest cases per 100,000 population (New York) to least (Montana). Also shows average new cases per day per 100,000 population in descending order.
Page 14 has distributions of cases/100,000 and new cases per day per 100,000. Also shows the ration of weekly new cases 4/24 to 5/1 divided maximum weekly new case.
Note that for 21 states (and Total US, and District of Columba) had the maximum weekly new cases during 4/24 to 5/1
Predicting coronavirus cases and questions need answeringJames Orr
Another weekend, and another attempt to make sense out of the Coronavirus Case data from states in the United States. Overall, cases per day remain flat (on plateau) with no decline in data. However, other indications suggest increasing irrelevant to use new cases per day for social policy decisions. Indication that new hospitalizations per day might be a better measure.
Criteria to begin relaxing social distancing revision AJames Orr
Latest weekly update (on weekend) of my projection of the number of Coronavirus case per day by state. Prior predictions modeled following three weeks. Mode VII two weeks ago and Model IX on week ago appear as accurate as randomness in data allows, or new pockets of outbreaks. This version looks at where states are at plateauing or being pose peak new cases per day. Also looks at criteria to begin to relax social distancing guidelines. Revision A corrects Alaska (missing a 0) and Nevada population (one extra 0).
Measuring the effect of social distancing On CoronavirusJames Orr
This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
04/05/2020. The United States looks for signs that new Coronavirus Cases per day has started to decrease. We may be close, but not there yet. This presentation looks at changes in Case for United States and a few states. It looks at Cases versus date, first derivative (Growth In Cases Per Day) and finally the second delivery (which show how rapidly the growth per day is decreasing).
Orr's model vii projection of cases to 4 16-2020 created 04-03-2020James Orr
Updated with Model VII which has a much sharper decrease in Case Growth Per Day. Model VII achieves peak New Cases per Day within the two week project, while Model VI New Cases continues to grow over the 14 days.
Orr's model vi projection of cases to 4 16-2020 created 04-03-2020James Orr
This is the latest weekly update of my projection of Coronavirus Cases over the next fourteen days. Projection two weeks ago was too low (assumed control of spread). Projection on week ago assumed no change in Growth Rate % of cases per day. This version used trend in Growth Rate % cases per day to extrapolate reducing Growth Rate per day over the next 14 days. This should be much more accurate if continued progress in "social distancing" occurs.
Latest Projection Of Cases By State For Next 15 Day.
Average growth abut 30 % per day (expect to be lower).
Uses average growth per day from 3-21 to 3-28 to project ahead 14 days.
Coronavirus cases by state - projections for growther from 03-21-2020 to 04-...James Orr
The document provides a projection of coronavirus cases in the United States from March 22, 2020 to April 21, 2020 using a model (Model IV) developed by James K. Orr. It projects the maximum number of cases for each US state over this time period based on current case numbers as of March 21, 2020 and average daily growth rates over the previous 3 days for each state. It notes that the projections provide an optimistic scenario that depends on actions by governments and mercy from God. Tables with projections for each state are also included.
Coronavirus pandemic public health - lessons in mathematicsJames Orr
This was prepared for a mathematical literate (honors) young teenage girl. This introduces risk assessment and risk mitigation using Public Health Measures. Also includes a mathematical tuitorial.
Coronavirus case growth by country j.k.orr 2020 03-07James Orr
An attempt to model growth of the Coronavirus case growth in a country from the time the total cases reach 225 cases for the next 10 days. Model is ONLY VALID for these 10 days. Model is dependent that data provided by countries are accurate. Raw data from Mainland China, South Korea, Italy, and Iran as of 3/6/2020.
2018 is year to consider conversions of tax deferred funds to rothJames Orr
With the 2018 tax law changes, converting tax-deferred savings into Roth IRAs is advantageous for those who can pay the income taxes. For individuals on Medicare, there are income thresholds that impact Medicare premium costs that must be considered when deciding how much to convert. Converting just under the $267,000 threshold may be best for married couples expecting to complete conversions while both are alive. For those needing access to funds sooner, determining the optimal strategy can be more complicated.
Effect of tax cut and job act for couples over 65James Orr
Captures some of my analysis of the effect of Thrump's "Tax Cut and Job Act" on my strategy for managing my pre-tax IRA funds. Specially written for couples over 65 on Medicare due to the effect of Gross Taxable Income on both federal income tax and Medicare Premiums. Identifies general tax planning strategies and also identifies a largely unaddressed risk, which is effect of change in income tax filing status when a spouse dies (from "Married Filing Jointly" to filing as "Single").
Hurricane harvey Impact On Houston Rainfall and Water DepthJames Orr
Screen prints of selected data from Harris County Flood Control District. There are rain gauges and stream depth gauges through out Harris and surrounding counties. Data was captured to show impacts in several areas including the Clear Creek Watershed near NASA's Johnson Space Center.
Software Reliability For Engineers - J.K.Orr 2015-09-23James Orr
This document describes a simplified engineering approach for computing software reliability that was developed for and applied to the Space Shuttle Primary Avionics Software System (PASS). The approach models the software as uniform layers representing releases. It computes reliability estimates based on failure data for each layer over time. The approach was found to more accurately predict reliability than a complex statistical model. The key advantages are that it accounts for changes in reliability characteristics over time due to process improvements and can estimate reliability prior to failures occurring based on relative size of software releases.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
1. The Mythical 100 Flood Plain
Clear Creek At I-45
Houston, Texas
James K. Orr
September 12, 2017
2. Purpose – Show Two “1000 Year Flood”
Events In 40 Years In Harris County, Texas
• 40 + Inches of rain from a tropical system
near Houston is a regular occurrence
– See chart 5, Top 1, 4 and 5 events over past 40 years
• Per the “official” flood plain definition, Clear
Creek at I-45 has had a “once in 1055 years”
flood in 1979 (Claudette) and a “once in 761
years” flood in 2017 (Harvey) in 40 years
– Allison in 2011 was only a once in 29 year flood
– See charts 10 - 14
3. An Introduction To Floods
• One of my early experiences in living in the Gulf
Coast was Claudette on July 15, 1979
– In late-July 1979, the center of Tropical Storm
Claudette moved slowly inland near the
Texas/Louisiana border. Torrential rainfall fell along
the southeast Texas coast, including the
Houston metro area.
– The heaviest amount was recorded just to the south
of Houston in the town of Alvin. An observer
measured a record 43 inches of rainfall in just 24
hours, which stands as the greatest 24-hour rainfall
total in U.S. history. The storm total beyond the 24-
hour record was 45 inches.