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This chapter presents the decision support tool (DST) for assessing the effects of land use changes on the hydrological response within Lake Singkarak’s catchment area. We engaged in the integration of cellular automata (CA) and Markov chain (MC) models for forecasting land use changes over time to inform best management practices (BMPs) and spatial prioritization. The simulations of the models are one of the pivotal inputs for the final decision support systems (DSS). We briefly introduced the soil and water assessment tool (SWAT) to predict land use composition in Lake Singkarak’s watershed from 1990 to 2020. The final outputs of change in water yield, the best management practice scenarios, and the validation methods and results are presented.

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Decision Support Tool (1): Models of Impacts of Land Use Management on Water Quality

  • 章节

  • 发表日期：

    2026年

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  • Iwan Ridwansyah,
  • Aldiano Rahmadya,
  • Atiqotun Fitriyah,
  • Andi Muhammad Yasser Hakim,
  • Kharistya Amaru,
  • Edwin,
  • Adi Witono,
  • Anna Fadliah Rusydi,
  • Sri Malahayati,
  • Bambang Dwi Dasanto,
  • Hari Jaya Sipayung,
  • Hendro Wibowo,
  • Anastasia Lidya Eka Putri

摘要

This chapter presents the decision support tool (DST) for assessing the effects of land use changes on the hydrological response within Lake Singkarak’s catchment area. We engaged in the integration of cellular automata (CA) and Markov chain (MC) models for forecasting land use changes over time to inform best management practices (BMPs) and spatial prioritization. The simulations of the models are one of the pivotal inputs for the final decision support systems (DSS). We briefly introduced the soil and water assessment tool (SWAT) to predict land use composition in Lake Singkarak’s watershed from 1990 to 2020. The final outputs of change in water yield, the best management practice scenarios, and the validation methods and results are presented.