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Related Experiment Video

Updated: Jun 12, 2026

Capturing Flow-weighted Water and Suspended Particulates from Agricultural Canals During Drainage Events

Capturing Flow-weighted Water and Suspended Particulates from Agricultural Canals During Drainage Events

Published on: November 7, 2017

Simulation and analysis of conjunctive use with MODFLOW's farm process.

R T Hanson¹, W Schmid, C C Faunt

¹California Water Science Center, Water Resources Discipline, US Geological Survey, 4165 Spruance Rd, Ste. 200, San Diego, CA 92101, USA. rthanson@usgs.gov

|June 25, 2010

Summary

This summary is machine-generated.

The Farm Process (MF-FMP) enhances MODFLOW for coupled simulation of water resources, integrating landscape, groundwater, and surface water. This improves analysis of conjunctive water use systems for better management.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

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Published on: December 9, 2012

Area of Science:

Hydrology and Water Resource Management
Environmental Modeling
Agricultural Water Use

Background:

Traditional groundwater models like MODFLOW often lack integrated landscape and agricultural water use components.
Accurate analysis of conjunctive water use requires simulating interactions between surface water, groundwater, and land surface processes.
Existing models struggle to capture the dynamic interplay of water supply and demand in agricultural regions.

Purpose of the Study:

To introduce and demonstrate the utility of the Farm Process (MF-FMP) extension for MODFLOW.
To enable fully coupled simulation of water movement and use across the hydrologic system, including natural and agricultural vegetation.
To enhance the analysis and management of conjunctive water resource systems.

Main Methods:

Extension of MODFLOW with the Farm Process (MF-FMP) to integrate landscape water dynamics.
Development of distributed, cell-by-cell, supply-constrained and demand-driven components within 'water-balance subregions'.
Application of MF-FMP to simulate micro-agriculture in Pajaro Valley and macro-agriculture in the Central Valley.

Main Results:

MF-FMP successfully simulates coupled surface water, groundwater, and land-surface water balances.
Case studies demonstrated the analysis of aquifer storage and recovery, water distribution systems, and climate variation impacts.
The model effectively captures the importance of precipitation, surface water, and groundwater in different hydrologic settings for conjunctive use.

Conclusions:

MF-FMP provides a powerful tool for simulating natural and anthropogenic components of the hydrologic cycle.
The model facilitates a comprehensive understanding and improved management of water supply and demand dynamics.
Integrated simulation of landscape processes is crucial for accurate conjunctive water resource analysis.