ABSTRACT:

Abstract
Centralizing allocation of water can potentially benefit community water service. Water managers need robust data, modeling, and decision support tools to best allocate water. This report studies optimization modeling as a potential solution to reduce the amount of community water service systems (ASADAS) in Alajuela Costa Rica. Currently there are numerous ASADAS, which represents a challenge for management and adequate governmental support. Three systems are used as an example. The objectives of this project are: (a) Create an optimization model to improve water delivery in decentralized community water systems in Alajuela, Costa Rica. (b) Integrate environmental water constraints in optimization model. This model can be used by decision makers to join ASADAS and best allocate water among them, including ways of balancing the environmental and human water requirements. This model identified 5 links between water sources and communities; governmental accompaniment is needed to facilitate the systems joins within communities.

Files:
Semester Project Report: written report.
GAMS code: script for the optimization model.
Data set: excel spreadsheet, data used for the optimization model.

ABSTRACT:

This resource provides a Jupiter Notebook containing code to retrieve data from United States Geological Survey (USGS) National Water Information System (NWIS) website.
The code retrieves data for the station 10126000: Bear River Near Corinne, UT.
The data retrieved are daily values, then the code resamples the data to year data to determine the minimum, maximum and mean discharge values, and compared 2021 with previous years.
This code also generates one plot to compare the results of years from 2000 to date. Also using daily statistics and daily values, the code creates a plot to compare the percentiles with the 2021 mean values.