Real time control of nature-based solutions: Towards Smart Solutions and digital twins in Rangsit Area, Thailand

Laddaporn Ruangpan*, Mosaab Mahgoub, Yared Abayneh Abebe, Zoran Vojinovic, Surajate Boonya-aroonnet, Arlex Sanchez Torres, Sutat Weesakul

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
38 Downloads (Pure)

Abstract

The intensity and frequency of hydro-meteorological hazards have increased due to fast-growing urbanisation activities and climate change. Hybrid approaches that combine grey infrastructure and Nature-Based Solutions (NBSs) have been applied as an adaptive and resilient strategy to cope with climate change uncertainties and incorporate other co-benefits. This research aims to investigate the feasibility of Real Time Control (RTC) for NBS operation in order to reduce flooding and improve their effectiveness. The study area is the irrigation and drainage system of the Rangsit Area in Thailand. The results show that during the normal flood events, the RTC system effectively reduces water level at the Western Raphiphat Canal Station compared to the system without RTC or with additional storage. Moreover, the RTC system facilitates achieving the required minimum volume and increasing the volume in the retentions. These findings highlight the potential of using RTC to improve the irrigation and drainage system operation as well as NBS implementation to reduce flooding. The RTC system can also assists in equitable water distribution between Klongs and retention areas, while also increasing the water storage in the retention areas. This additional water storage can be utilized for agricultural purposes, providing further benefits. These results represent an essential starting point for the development of Smart Solutions and Digital Twins in utilizing Real-Time Control for flood reduction and water allocation in the Rangsit Area in Thailand.

Original languageEnglish
Article number118389
Number of pages13
JournalJournal of Environmental Management
Volume344
DOIs
Publication statusPublished - 2023

Keywords

  • Digital twins
  • Flooding
  • Hybrid measures
  • Irrigation system
  • NBS
  • Real-time control

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