Introduction

Overview¶

Welcome to the documentation for our fastpath web-application, specifically designed for recharge site evaluation. Our web-application leverages electromagnetic (EM) geophysical data and various in-situ auxiliary datasets, such as sediment/rock type, water level, and water quality, to characterize the spatially varying subsurface sediment types. With this information, our app generates 2D recharge metric maps, which highlight potential connected pathways through coarse-grained materials, or barriers to flow from fine-grained materials. These maps can provide valuable insights into the suitability of potential recharge site locations.

By combining and analyzing these datasets, our web-application facilitates a holistic approach to identifying suitable areas for groundwater recharge. The 2D recharge metric maps offer visual representations of key hydrogeological parameters, aiding decision-making processes and ensuring efficient and informed choices for recharge site selection. Embracing cutting-edge technologies, our fastpath web-application offers a user-friendly interface for seamless exploration and utilization of the recharge metric maps (Figure 2). Let's dive in and explore the full potential of our application to enhance groundwater recharge site identification.

At a high level, the fastpath app consists of four essential components:

1. Online database : This repository houses the EM geophysical data and other auxiliary datasets. Though not directly accessible through the fastpath app, it forms the foundation for generating recharge metric maps.
2. User account : To access the fastpath app, users are required to create a user account. This account will store user information and associated data securely.
3. GIS layer : The geographical information system (GIS) layer enables users to define their region of interest with ease. This functionality aids in narrowing down the search for potential recharge sites.
4. Simulation : The simulation component provides users with powerful computational capabilities. Developed by Stanford researchers, it allows users to create 2D maps of recharge metrics by analyzing the EM geophysical data and in-situ auxiliary data.

Each of these four components are discuss in detail in their respective pages of this user manual. Embrace the power of our fastpath web-application and embark on a journey to enhance groundwater recharge practices.

Underlying assumptions¶

Before utilizing the fastpath app, it is essential to understand the fundamental assumptions made by the application:

1. Groundwater Salinity: The app assumes that the salinity of the region of interest is not excessively high and exhibits relatively minor variation within the region. If the groundwater in the area is heavily impacted by salinity, it is advisable not to use our approach, as salinity can significantly reduce the reliability of the results.
2. Subsurface Composition: The app is designed to work with subsurface formations composed mainly of sediments. Other materials, such as bedrock, need to be accurately delineated and removed from the analysis to ensure the accuracy of the results.
3. Sedimentary Subsurface System: The sedimentary subsurface system is assumed to consist of two primary sediment types: fine-grained and coarse-grained materials, referred to as "fine" and "coarse," respectively. To facilitate the analysis, in-situ sediment/rock type data must first be classified as either "fine" or "coarse" to properly characterize the subsurface system.

By keeping these fundamental assumptions in mind and adhering to the specified requirements, users can effectively leverage the fastpath app to evaluate potential groundwater recharge sites with confidence.