Orso University By; Chelsey Henriquez. Ask 1. Is the location convenient for a University? 2. Are there any bad Physical features around the are? 3.Are.

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Presentation transcript:

Orso University By; Chelsey Henriquez

Ask 1. Is the location convenient for a University? 2. Are there any bad Physical features around the are? 3.Are there any plate tectonics that could cause problems? 4. Would a hurricane leave any damage? 5.Is it a safe place to build a University? 6.If there were a hurricane would there be any flooding?

Acquired Harris County’s Flood Plains: What are the three different categories of floods? Rank them in order from strongest to weakest year flood or 0.2% chance flood year flood or 1% chance flood year flood or 10% chance flood Which floodplain creates the worst situation? Coastal floodplain Rank the floodplains in order from best to worst based on your analysis. Shallow Floodplain : Smallest effect Valley Floodplain : not a big deal of an effect Major River Floodplain : bad effect Coastal Floodplain : everybody gets affected Type of floodplain Student created explanatio n of floodplain Locations of floodplain s in Harris County Explanatio n of Potential flooding Valley FloodplainThis is near a creek valley and it doesn’t affect many of the houses. Northeast portion of Harris county. Houses higher up and farther are more safe from the flood and houses lower down and closer to the creek are likely to get flooded Major River Floodplain There is only one in Houston, it’s big and deep. Along the San Jacinto River. Houses that aren’t high up will likely flood and can last for weeks. Shallow Floodplain Because it is shallow and it probably wouldn’t affect that many houses. Southeastern part of Harris County Houses don’t get badly flooded and this type of flood usually only lasts for a few hours. Coastal Floodplain Because it is located near the ocean. Can happen anywhere All houses can be affected by ground subsidence and lower houses are affected by a normal storm surge

Acquired Flooding Data: LocationType of floodplainWatershedFlooding threat level Bay Area Blvd. Houston, TX 500 Year Floodplain Clear CreekD,F FM 1960, Huffman TX 100 Year Floodplain Cedar BayouC Liberty Ln., Tomball TX Area of Lowest Risk Willow CreekA,B 650 Oats Rd. Houston, TX 100 Year Floodplain Hunting BayouC 1400 Travis St., Houston, TX Area of Lowest Risk Buffalo BayouA,B

Acquired Hurricane Data: 1. What is storm surge? an abnormal rise in the level of the sea along a coast caused by the onshore winds of a hurricane 2. Why is storm surge such a huge problem in the Gulf of Mexico instead of places like the Atlantic Ocean? Because it isn’t causing any devastation or at least not as much as in the gulf of Mexico 3. Explain the three causes of storm surge. A. the wind causes the ocean water to pile up B. Low pressure at the center of a weather system also has a small secondary effect. C. and the combination of persistent wind and the low Pressure is what causes most of the flooding. 4. What makes storm surge so devastating? Because it Destroys everything in it’s way that can’t withstand it LocationCategory of Hurricane that would require an evacuation Storm surge height that would flood the campus Hurricane threat level Bayside (La Porte, TX)  Bay Area Blvd., Houston, TX ftC NE Houston (Huffman, TX)  FM 1960, Huffman, TX ftC W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX ftD Downtown East (Houston, TX)  650 Oats Rd., Houston, TX ftD Downtown Central (Houston, TX)  1400 Travis St., Houston, TX ftD

Acquired Fa ult data: 1.The images included on the map are examples of which kind of weathering? -Mechanical weathering 2. How far are Harris County’s faults moving per year? -not that far 3.How would faults and weathering impact your University? -Options 1, 4, would either be hard to get to or be completely impossible to get to so they would probably be closed if flooded. -Option 2 and 3 wouldn’t be affected -Option 5 would most likely be hard to get to, but other than that there are no problems What types of problems do you anticipate from the fault data? That in some particular locations it will cause damage and will Take a good amount of money to repair Rank the locations in order from worst to best based on your analysis of fault data Op3: has no faults nearby Op2: has only one fault nearby 0p5:If damaged low repair cost Op1: It’s repair cost is less than op4 Op4: is the one with most faults and highest repair cost LocationFaults Nearby (High, Medium, Low) Projected Repair Costs Bayside (La Porte, TX)  Bay Area Blvd., Houston, TX High$2000 per yr NE Houston (Huffman, TX)  FM 1960, Huffman, TX Low$100 per yr W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX Low$100 per yr Downtown East (Houston, TX)  650 Oats Rd., Houston, TX High$5000 per yr Downtown Central (Houston, TX)  1400 Travis St., Houston, TX Medium$1000 per yr

Acquired Crime data: Explain how crime data will affect the recruitment of future students. Students would want to know if the University they’re attending is safe So if the crime level of the location Is low it is most likely for a student to Feel safe and want to attend, but if The crime level is high then they Won’t want to attend to an unsafe University. LocationTotal # of RapesTotal # of MurdersCrime Level Bayside (La Porte, TX)  Bay Area Blvd., Houston, TX 00A NE Houston (Huffman, TX)  FM 1960, Huffman, TX 00 A W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX 00A Downtown East (Houston, TX)  650 Oats Rd., Houston, TX 75C Downtown Central (Houston, TX)  1400 Travis St., Houston, TX 66C

Acquired Land prices: Explain how land prices will affect the recruitment of future students. -The lower the price the more land for the University, the more land the more space for students, and the more space for students, the more students that will attend OU LocationLand Price (per acre) O1: Bayside$27,000 O2: NE Houston $12,000 O3: W Tomball$40,000 O4: Downtown East $50,000 O5: Downtown Central $6,850,000

Hurricane data

Conclusion Of the data that you collected which data set do you feel is most important to your decision-making process. Rank the six data sets in order from most influential to least influential. 1. Hurricane storm surge and potential damage: it’s what is most likely to affect the university 2. Land prices: How much you should spend on buying the location is also important 3. Floodplains: it only affects some areas so it’s not that bad 4. Fault data and mechanical weathering: it can cause a lot of damage and money 5. Crime data: student have to feel safe but from the analysis there is nothing to worry about 6. Watersheds: it could affect but not as big as the rest Other sources : Other sources of information Explanation of how the source would be beneficial Location that would likely benefit the most from your source Location that would likely benefit the least from your source. Reasonable distance to Shopping complexes/Hospitals etc It would attract students and would reassure students in case of accident Downtown Central (Houston, TX)  1400 Travis St., Houston, TX W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX Are there any other colleges around So there is no competition between the colleges W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX Bayside (La Porte, TX)  Bay Area Blvd., Houston, TX Apartment complexTheir might be some students who come from somewhere else that have nowhere else to stay and the might want to be near the college NE Houston (Huffman, TX)  FM 1960, Huffman, TX Downtown Central (Houston, TX)  1400 Travis St., Houston, TX

Conclusion From all the work I’ve done and everything I’ve analyzed I think W. Tomball (Tomball, TX)  Liberty Ln., Tomball, TX would be the best spot for the college The board of directors and investors could respond in different ways, they could like it or they could not. It all depends in what perspective they see it, but of course it all depends how they analyze it as well, land prices, fault data, and everything else. Personally I think they’d like it and feel it’s reliable enough to make decision.