AI-Based Salinization Simulation Tool – Ca Mau Province

Introduction

Combining artificial intelligence and multi-agent modeling, it supports local authorities in planning, responding to, and mitigating the effects of saltwater intrusion - a growing threat under climate change and extreme weather conditions in the Mekong Delta.

Time

2024

Project Facts

  • Duration 6 months
  • Funding source UNICEF Vietnam
  • Principal investigator Dr. Dinh Thi Hai Van and Assoc. Prof. Dr. Nguyen Ngoc Doanh
  • Field sites Ca Mau Province, Vietnam

Objectives

  • Build an open-source desktop tool with integrated GIS to simulate saltwater intrusion spatially and temporally
  • Support local disaster management through salinization scenario modeling
  • Train provincial and district officials, women, teachers, and students on salinization awareness and tool usage

Focus areas

  • Disaster Risk Management: Support scenario planning for infrastructure failures, dry-season planning, and early intervention.
  • Environmental Monitoring: Incorporate hydrological, meteorological, and land-use data into salinization risk mapping.
  • Community Capacity Building: Equip government staff and local residents with skills to forecast and respond to water salinity risks.

Methodology

  • AI-based Agent Modeling: Use multi-agent frameworks to simulate complex salinization dynamics in river networks and dike systems.
  • GIS-Integrated Dashboard: Visualize current and projected saltwater intrusion using interactive spatial layers and real-time data.
  • Scenario Testing: Build and test multiple climate and policy scenarios (RCP2.6, RCP4.5, RCP8.5) to evaluate long-term impacts.
  • User-Centered Co-Design: Collaborate with local officials and residents to refine tool features, interface, and recommendations.
  • Training & Outreach: Deliver toolkits and hands-on sessions to over 100 government officers, teachers, and students.

Results

  • Available as a web-based GIS model or lightweight Windows desktop application with full Vietnamese/English UI and user guide.
  • Forecast maps showing salinity intensity across Ca Mau districts up to 2050.
  • Improved preparedness among schools, clinics, and vulnerable communities through better water planning.

Partners & stakeholders

  • Lead Technical Institution: UMMISCO / VinUniversity
  • Funder: UNICEF Vietnam
  • Government Counterparts: Ca Mau Provincial People’s Committee, Department of Agriculture and Rural Development (DARD), Department of Natural Resources and Environment (DONRE), Provincial disaster management authorities
  • Education & Community Partners: Selected primary and secondary schools, Local women’s groups, Commune-level health and irrigation officers

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Training

List of Students

The course connects global students and professionals to share experiences and build a resilience network.

Eleanor Pena

Springdale Elementary School

Eleanor Pena

Springdale Elementary School

Arlene McCoy

Gateway Community College

Darrell Steward

Lakeshore Middle School

Marvin McKinney

Meadowbrook Middle School

Robert Fox

Universal Technical Institute

Guy Hawkins

Tennessee College of Applied Technology

Jacob Jones

Wayne Community College

Robert Fox

East Valley Institute of Technology (EVIT)

Jenny Wilson

Vinuniversity

Cody Fisher

Gateway Community College

Jerome Bell

Trevor G. Browne High School

Devon Lane

East Valley Institute of Technology (EVIT)

Esther Howard

Wayne Community College

Wade Warren

Universal Technical Institute