geo-infer-water

Delineate watersheds and analyze water resources using Python libraries.

13|3|Updated May 13, 2025

Search Tags:#hydrology #water resources #watershed #flood modeling #water quality #geospatial analysis

Ready to run

npx skills add https://github.com/ActiveInferenceInstitute/GEO-INFER --skill geo-infer-water

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geo-infer-water
Source: https://github.com/ActiveInferenceInstitute/GEO-INFER/tree/main/GEO-INFER-WATER
Command: npx skills add https://github.com/ActiveInferenceInstitute/GEO-INFER --skill geo-infer-water

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines complex water resource management tasks, from hydrological analysis and flood modeling to water quality monitoring and watershed management, saving significant time and effort.

Core Features & Use Cases

Watershed Analysis: Delineate watersheds, analyze flow, and identify stream networks.
Flood & Drought Modeling: Simulate flood risks and assess drought conditions.
Water Quality Monitoring: Assess water quality, track pollution, and analyze trends.
Use Case: A city planner needs to assess the flood risk for a new development. This Skill can delineate the local watershed, model potential flood scenarios based on precipitation data, and assess the water quality of nearby rivers.

Quick Start

Use the geo-infer-water skill to delineate the watershed for the provided elevation data and a pour point at (38.5, -121.5).

Frequently Asked Questions about geo-infer-water

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I delineate a watershed from elevation data using Python?▼

You can delineate a watershed by processing elevation data to identify drainage areas and stream networks, using Python libraries like xarray and numpy to trace flow from a specified pour point.

What is the best way to model flood risk for a new development site?▼

Modeling flood risk involves simulating flood scenarios based on precipitation data and local watershed characteristics to assess potential inundation and water quality impacts for proposed developments.

Can I monitor water quality and track pollution trends using geospatial analysis?▼

Water quality monitoring is supported through geospatial analysis, allowing you to assess water conditions, track pollution sources, and analyze environmental trends across a watershed over time.

Does this hydrology skill require external Python dependencies for water resource management?▼

No external dependencies are required, as the skill relies on standard Python data and analytics libraries like xarray and numpy to perform comprehensive water resource management and hydrological analysis.

How do I assess drought conditions and groundwater levels in a specific watershed?▼

Drought and groundwater assessment is performed by analyzing hydrological data within the delineated watershed to evaluate water scarcity, monitor groundwater levels, and simulate drought conditions.