1. 25% Deep Infiltration
25% Shallow Infiltration
10% Runoff
40% Evapotranspiration

2. 10% Shallow Infiltration
30% Evapotranspiration
55% Runoff
5% Deep Infiltration

3. Design & Analysis of
LID-BMPs
&
Development of the
Site Assessment Widget
BY:
Noor Abdullah Al Abdulmohsin
Turky Ahmad Aldakheel
Abdulmohsen Fahad Aldrees
Joan Summersby Bryant
Derrick Ray Carrisalez
Supervised by: Dr. Gopalakrishnan Easwaran

4. http://www.floodsafety.noaa.gov/states/tx-flood.shtml

6. Protect and enhance our creeks and rivers
through service, leadership, and expertise.

7. http://media.visitsanantonio.com/News/English/San-Antono-s-River-Walk-Expansion-
Leads-Nation-in
http://water.usgs.gov/ogw/bgas/courses/ID2015F/
Health and Safety
Natural Resource
Protection
http://www.parksandrecreation.org/2012/May/Pedal-Power/
Parks and Recreation
Making the river a nice place for
the community
https://www.sara-tx.org/public-services/billing-and-contact-information/waste-water-treatment-plans/
Utilities
Management
Expert advice in waste water
management.
http://content.usatoday.com/communities/greenhouse/post/2010/03/rain-barrels-or-cistern-my-green-house-aims-to-reuse-water/1
Watershed Solutions
Sustainable technology to improve
the health of the river.

8. Low
Impact
Development
Volume
Reduction
Flow
Dissipation
Mimic
Nature
http://arlingtonva.s3.amazonaws.com/wp-content/uploads/sites/13/2013/10/Storm-Drain-Runoff.jpg

9. Bioremediation
Bioaccumulation
VolatilizationSettling
Filtration
Adsorption/
Absorption
Removal Processes

10. • Goal-mimic nature
• Benefits-infiltration, pollutants, dissipate flow, volume reduction
• Examples
• Site specific

12. use
https://shortstops.info/2014/01/12/making-it-short-creative-writing-workshops-from-
writers-centre-norwich-2/
Workshop
http://professionalinspector.com/foundations-clay-soils/
http://fantasticpixcool.com/coastal+wetlands+map
Wetlands
Soil types
http://www.dreamstime.com/stock-illustration-topographic-map-realistic-area-west-austin-texas-vector-layered-isolines-rivers-bodies-water-image44638088

13. Problems?
Data Resources

14. Problems?
1. Inaccurate scales/measurements
2. Unable to zoom in/out
3. Erasing
4. Difficulties of performing LID-BMP calculation
5. Limitations of using hardcopies
6. Unclear visualization of details of maps in papers
Solution?
Software
Application!!!
7. Different Resources!

15. About GIS ..
• Computer software for storage and retrieval
of geotechnical information
Advantages:
- Handles data in many different forms
- Combine layers & analyze them
- Capture big data
- Produce three-dimensional images
- Many businesses use GIS technology in different fields of need
• GIS stands for Geographic Information System

16. Architectural Overview of the ArcGIS Platform

17. Web AppBuilder

18. Software Development Process
 Software Requirements Specification (SRS)
 Design
• Draw a polygon on the GIS map
• Input number of years and percentile target needed to
calculate rainfall amount
• Download real time precipitation and upload the text file
• Data report includes area of selected land, soil types, rainfall amount
• Rainfall record based on hydrologic soil types

19. Software Development Process
 Implementation

20. The Site Assessment Widget

21. BMP
BMP
BMP
Volume
Material
Dimensions
Cost
What is the optimal design?

22. Inlet
Pipe
Overflow
Pipe
Discharge
Pipe
Impervious
Cover

23. Optimization Model
Constraints
ℎ 𝑐 ≤ ℎ 𝑐 𝑚𝑎𝑥
𝐷𝑐 ≤ 𝐷𝑐 𝑚𝑎𝑥
𝑡 𝑑 ≤ 𝑡 𝑑 𝑚𝑎𝑥
𝑄 𝑑 ≤ 𝑄 𝑑 𝑚𝑎𝑥
𝑉𝑐 ≥ 𝑉𝑐 𝑚𝑖𝑛
𝐷𝑖𝑛𝑙𝑒𝑡 = 𝐷 𝑜𝑣𝑒𝑟𝑓𝑙𝑜𝑤
𝐷 𝑑 ≥ 0.001

24. 𝐴 𝑐 =
𝜋𝐷𝑐
2
4
𝑉𝑐 = 𝐴 𝑐 ∗ ℎ 𝑐
𝑈 𝑑 =
𝑄 𝑑
𝐷 𝑑
• The height of the cistern (ℎ 𝑐)
• The diameter of the cistern (𝐷𝑐)
• The diameter of the discharge pipe (𝐷 𝑑)
S.T

25. control constraints are represented as
• 𝑈 𝑑 = 2𝑔(ℎ 𝑐−ℎ 𝑎)
• 𝑄 𝑑 = 𝐴 𝑑 ∗ 𝑈 𝑑
• 𝑡 𝑑 = 2
𝐴 𝑐
𝐴 𝑑
ℎ 𝑐− ℎ 𝑎
2𝑔

26. Binary variable
• S𝑡𝑎𝑛𝑑𝑎𝑟𝑑 𝑠𝑖𝑧𝑒 𝑐𝑖𝑠𝑡𝑒𝑟𝑛 𝑣𝑎𝑟𝑖𝑎𝑏𝑙𝑒
𝑦 𝜖 1 𝑜𝑟 0, 1 𝑜𝑟 0, 1 𝑜𝑟 0, 1𝑜𝑟 0, 1 𝑜𝑟 0
• Assign the diameter of the cistern chosen to 𝐷𝑐, ℎ 𝑐
30𝑦1 + 36𝑦2 + 42𝑦3 + ⋯ + 84𝑦12 = 𝐷𝑐
50𝑦1 + 50𝑦2 + 68𝑦3 + ⋯ + 72𝑦12 = ℎ 𝑐
• Base selected is gravel or concrete
𝑏1 𝜖{1 𝑜𝑟 0}
𝑏2 𝜖{1 𝑜𝑟 0}
𝑏1 + 𝑏2 = 1
Based on the weight
𝐼𝑓 𝑤 𝑏 ≥ 𝑤𝑡, 𝑡ℎ𝑒𝑛 𝑏1 = 0 & 𝑏2 = 1
𝐼𝑓 𝑤 𝑏 < 𝑤𝑡, 𝑡ℎ𝑒𝑛 𝑏1 = 1 & 𝑏2 = 0
𝑦1 + 𝑦2 + 𝑦3 + ⋯ + 𝑦12 = 1

27. Objective function
Min [𝐶1 𝑦1 + 𝐶2 𝑦2 + ⋯ + 𝐶 𝑛 𝑦𝑛] + [𝐶1
𝑏𝑎𝑠𝑒
𝑏1 + 𝐶2
𝑏𝑎𝑠𝑒
𝑏2]

29. CisternTrain

30. Min 𝑖=1
𝑚
. 𝑐=1
𝑛
𝐶𝑐 ∗ 𝑧 𝑐𝑖 + 𝑐 𝐺𝑟𝑎𝑣𝑒𝑙 𝑏1𝑖 + 𝑐 𝐶𝑜𝑛𝑐𝑟𝑒𝑡𝑒 𝑏2𝑖Minimize Cost The cost of each cistern type in train in addition to
its designated foundation cost
s.t.
• 𝑐=1
𝑛
𝑤𝑐
𝑒
∗ 𝑧 𝑐𝑖 + 𝑉𝑖 𝛼 ≤
2000
144
𝐴𝑖 𝑏1𝑖 + 𝑤𝐿ℎ 𝑐
𝑚𝑎𝑥
𝑏2𝑖 ∀ 𝑖 = 1, … , 𝑚
• 𝐴𝑖
′
=
𝜋𝐷𝑖
′2
4
∀𝑖 = 1, … , 𝑚
• 𝐹𝑖
′
= 2𝑔 ℎ𝑖 − ℎ 𝑎
′′
∀𝑖 = 1, … , 𝑚
• 𝑄𝑖
′
= 𝐴𝑖
′
∗ 𝐹𝑖
′
∀𝑖 = 1, … , 𝑚
• 𝑡𝑖
′
= 2
𝐴 𝑖
𝐴 𝑖
′
ℎ𝑖− ℎ 𝑎
′′
2𝑔
∀𝑖 = 1, … , 𝑚
• 𝑡𝑖
′
≤ 𝑡′𝑚𝑎𝑥
• 𝑖=1
𝑛
𝑄𝑖
′
≤ 𝑄′ 𝑚𝑎𝑥−𝑡𝑜𝑡𝑎𝑙
• 𝑖=1
𝑛
𝑉𝑖 ≥ 𝑉 𝑚𝑖𝑛𝑖𝑚𝑢𝑚−𝑡𝑜𝑡𝑎𝑙
s.t.
• The foundation type
• The area of the discharge pipe
• Velocity of water at the discharge pipe
• Discharge rate of the cistern
• The drawdown time
• Drawdown time control constraint
• Discharge rate control constraint
• Total volume control constraint

31. Optimization
Software
Simplex
Method
C++
Publisher:
IBM

32. Minimize Cost The cost of each cistern type in train in addition to
its designated foundation cost
Min 𝑖=1
𝑚
. 𝑐=1
𝑛
𝐶𝑐 ∗ 𝑧 𝑐𝑖 + 𝑐 𝐺𝑟𝑎𝑣𝑒𝑙 𝑏1𝑖 + 𝑐 𝐶𝑜𝑛𝑐𝑟𝑒𝑡𝑒 𝑏2𝑖
s.t.
• Cistern configuration
• Area of the discharge pipe
• The discharge rate
• The drawdown time
• The drawdown time control constraint
• Total discharge rate control constraint
• Alternative volume control constraint
s.t.
• 𝑎=1
𝑒
𝑐=1
𝑛
𝑝=1
𝑘
𝜑 𝑎𝑐𝑝𝑖 = 𝑆𝑖 ∀ 𝑖 = 1, … , 𝑚
• 𝐴𝑖
′
=
𝜋𝐷𝑖
′2
4
∀𝑖 = 1, … , 𝑚
• 𝑄𝑖
′
= 𝑎=1
𝑒
𝑐=1
𝑛
𝑝=1
𝑘
2𝑔 ℎ 𝑐 − ℎ 𝑎
′′
𝐴 𝑝
′
𝜑 𝑎𝑐𝑝𝑖 ∀ 𝑖 = 1, … , 𝑚
• 𝑡𝑖
′
= 𝑎=1
𝑒
𝑐=1
𝑛
𝑝=1
𝑘
2
𝐴 𝑐
𝐴 𝑝
′
ℎ 𝑐− ℎ 𝑎
′′
2𝑔
𝜑 𝑎𝑐𝑝𝑖 ∀ 𝑖 = 1, … , 𝑚 𝑐 = 1, … , 𝑛
• 𝑡𝑖
′
≤ 𝑡′𝑀𝐴𝑋−𝐸𝐴𝐶𝐻
• 𝑖=1
𝑛
𝑄𝑖
′
≤ 𝑄′ 𝑚𝑎𝑥−𝑡𝑜𝑡𝑎𝑙
• 𝑖=1
𝑚
𝑎=1
𝑒
𝑐=1
𝑛
𝑝=1
𝑘
ℎ 𝑎
′′ 𝑑 𝑐
2 𝜋
4
𝜑 𝑎𝑝𝑐𝑖 ≥ 𝑉′′𝑀𝐼𝑁−𝑇𝑅𝐴𝐼𝑁
Fixed
Diameter
Types
Fixed
Alternative
HeightType

34. Input
Optimal $$
Configuration

35. Study of Uncertainty

36. Rainfall Uncertainty
0
0.5
1
1.5
2
2.5
3
3.5
4
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1.62
1.7
1.81
2.68
3.59
3.09
2.23
2.35
3.38
2.83
2.05
1.75 Inches

37. $2500
$2796
$3150 $3345
0
500
1000
1500
2000
2500
3000
3500
4000
1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9
Cost
1
1.1
1.2
1.25
1.3
1.4
1.5
1.6
1.7
1.8
1.85
1.85
1.9
1.9
2
2.1
Variation Of Rainfall

39. Pollution Removal

40. Optimization Model
Constraints
ℎ 𝑏 ≤ ℎ 𝑏𝑚𝑎𝑥
𝑊𝑏 ≤ 𝑊𝑏𝑚𝑎𝑥
𝐿 𝑏 ≤ 𝐿 𝑏𝑚𝑎𝑥
𝑡 𝑑 ≤ 𝑡 𝑑𝑚𝑎𝑥
𝑄 𝑑 ≤ 𝑄 𝑑𝑚𝑎𝑥
𝑉𝑏 ≥ 𝑉𝑏𝑚𝑖𝑛
𝑑 𝑚𝑚𝑖𝑛 ≤ 𝑑 𝑚≤ 𝑑 𝑚𝑚𝑎𝑥
𝑑 𝑠𝑚𝑖𝑛 ≤ 𝑑 𝑠 ≤ 𝑑 𝑠𝑚𝑎𝑥
𝑑 𝑐 = 𝑑 𝑐𝑚𝑎𝑥
𝑑 𝑔𝑚𝑖𝑛 ≤ 𝑑 𝑔 ≤ 𝑑 𝑔𝑚𝑎𝑥
𝑅 ≤ 𝑑 𝑠
𝑝 𝑑𝑚𝑖𝑛 ≤ 𝑑 𝑝 ≤ 𝑝 𝑑𝑚𝑎𝑥
𝑑 𝑓 ≤ 𝑑 𝑚𝑎𝑥
Dimensions Layers

41. Future Work
Site Assessment Widget
• Display the range of rainfall amount
• Add icons for building and parking lots
• Calculate volume amount
Bioretention Model
• Optimization model for single Bioretention
• Extend the model to treatment train with Cistern

42. References
• A Basic Non-Functional Requirements Checklist. (2014). Retrieved February 07, 2016, from
https://dalbanger.wordpress.com/2014/01/08/a-basic-non-functional-requirements-checklist/
• ArcGIS API for JavaScript. (n.d.). Retrieved February 09, 2016, from https://developers.arcgis.com/javascript/jsapi/draw-amd.html
• ArcGIS for Developers |ArcGIS for Developers. (n.d.). Retrieved February 07, 2016, from https://developers.arcgis.com/
• ArcGIS Online Help. (n.d.). Retrieved February 07, 2016, from https://doc.arcgis.com/en/arcgis-online/reference/browsers.htm
• Esri - GIS Mapping Software, Solutions, Services, MapApps, and Data. (n.d.). Retrieved February 07, 2016, from
http://www.esri.com/
• Functional Requirements vs Non Functional Requirements . (2012). Retrieved February 07, 2016, from
http://reqtest.com/requirements-blog/functional-vs-non-functional-requirements/
• Pressman, R. (2005). Software Engineering: A Practitioner's Approach 6th edition. NewYork, United States: Mcgraw Hill Education.
• WebAppBuilder for ArcGIS. (n.d.). Retrieved February 07, 2016, from http://doc.arcgis.com/en/web-appbuilder/
• Doman, Ken. MasteringArcGIS Server Development with JavaScript, 2015.
• Dorman,T., M. Frey, J.Wright, B. Wardynski, J. Smith, B.Tucker, J. Riverson, A.Teague, and K. Bishop. 2013. SanAntonio River
Basin Low Impact DevelopmentTechnical DesignGuidance Manual, v1. SanAntonio River Authority. SanAntonio,TX.
• Duckett, Jon, Gilles Ruppert, and Jack Moore. JavaScript & JQuery: Interactive Front-end Web Development.
• Duckett, Jon. HTML and CSS: Design and BuildWebsites. Indianopolis, IN: Wiley & Sons, 2011.

43. Questions?
Please feel free to contact us for further information:
• Noor: nalabdulmohsin@mail.stmarytx.edu
• Turky: taldakheel@mail.stmarytx.edu
• Abdulmohsen: aaldrees1@mail.stmarytx.edu
• Joan: joaniesbryant@gmail.com
• Derrick: dcarrisalez1@mail.stmarytx.edu

44. Demonstration