To anticipate the condition when the peatland emit more carbon, Dr. Devi Nandita Choesin, M. Sc.; Dian Rosleine, S.Si., M.Si., Ph.D.; and their colleagues developed the Generalized Space Time Autoregressive (GSTAR) model in predicting these physical properties for the following weeks. The spatial weight matrix was based on three-dimensional coordinates with a modifcation on the height factor. The data we used are real-time data of water level on the peatlands in Pulang Pisau Regency, Central Kalimantan Province from 20 February 2021 to 18 March 2023. We then used Ordinary Kriging interpolation on the prediction results to create contour maps on diferent dates. The water level has a downward trend pattern from around November to September and an upward trend pattern from October to November. Furthermore, we found that the best model for water level was GSTAR (2;0.1) with a modifed matrix a = 0.1 and b = 1.1. Based on the predicted water level, there is a risk of changes in the properties of the peatlands in several areas in Pulang Pisau Regency.

Article Citation:
Mukhaiyar, U.; Mahdiyasa, A. W.; Prastoro, T.; Pasaribu, U. S.; Sari, K. N.; Indratno, S. W.; Soekarno, I.; Choesin, D. N.; Ismail, I.; Rosleine, D.; Qoyyimi, D. T.; (2024) The generalized STAR modelling with three-dimensional of spatial weight matrix in predicting the Indonesia peatland’s water level. Environ Sci Eur, 36(180): 1-15. https://doi.org/10.1186/s12302-024-00979-6.