1. Alex DeVriesPeter JuszczykWen-June Su Michael DeClerck Kenny Chung

2.  Task 1: Web Application  General overview  Diagram with links to specific design information Task 2: Standalone Micronization Mapping ▫ General overview ▫ Fundamental design

3. ServerDatabaseUser A D G B FC H E

4.  Client loads web page running Google Maps  User specifies polygonal region by selecting grid points on map  Polygonal points are sent to server which stores them in an array

6.  Server bounds user specified polygon  Server executes SQL request in order to fetch the boreholes within aforementioned bound

8.  Database returns SQL selection of all boreholes within server’s specified area  Server caches returned borehole objects by storing them in its own array

10.  Server runs PHP point-in-polygon algorithm on the elevation data of the cached boreholes  Store object data pertaining to boreholes within user specified polygon in its own array

12.  Website displays location of boreholes within user specified polygon

14.  User indicates that he or she wants a detailed report on specific borehole by clicking borehole location  User click sends logplot request to server

16.  Server finds data for user specified borehole amongst its cached data  Server runs logplot on data corresponding to user specified borehole

17. LogPlot 7

18.  Server sends PDF output of logplot to user

19. PDF

20.  User specifies a polygonal area and granularity via Google Maps  Server ascertains pertinent functions and fetches them from the database  Server generates borehole information by inputting (x,y) coordinates from user granularity into interpolation functions

21.  Borehole information for each point is placed into ASCII file and fed into SHAKE-91  Spectral acceleration values are output from SHAKE-91 and fed into ArcGIS to generate semi-3d map