Prediction of Land Cover Change in Wae Heru Watershed Ambon City Using Celular Automata Markov Chain

Susan E Manakane; Philia Christi Latue; Glendy Somae; Heinrich Rakuasa

doi:10.69606/geography.v1i1.52

Authors

Susan E Manakane Geography Education Study Program, Pattimura University, Indonesia
Philia Christi Latue Department of Biology, Faculty of Biology, Herzen University, Russian Federation
Glendy Somae Department Geography, Universitas Indonesia, Indonesia
Heinrich Rakuasa Department Geography, Universitas Indonesia, Indonesia

DOI:

https://doi.org/10.69606/geography.v1i1.52

Keywords:

celular automata markov chain, land cover, Wae Heru

Abstract

Land cover change in the watershed area in Ambon City has an impact on land degradation, water pollution, flooding and erosion. Therefore, the utilization and efficiency of land cover in the watershed area must be improved based on sustainable land cover planning. This study aims to analyze land cover changes in the Wae Heru watershed, Ambon City in 2013, 2018, and 2023 and predict land cover in 2028. This study used the CA-Markov method to predict land cover in 2028. The results showed that in 2013 the built-up land had an area of 74.25 ha, in 2018 an area of 79.30 ha and in 2023 an area of 88.00 ha and the results of the 2028 prediction of built-up land were 116.96 ha, this is certainly influenced by the increasing number of residents who continue to grow every year. Agricultural land, non-agricultural land and open land continue to decrease in area. The results of this prediction are very useful for the government in making policies related to sustainable spatial planning in the future.

References

Achmadi, P. N., Dimyati, M., Manesa, M. D. M., & Rakuasa, H. (2023). Model Perubahan Tutupan Lahan Berbasis Ca-Markov: Studi Kasus Kecamatan Ternate Utara, Kota Ternate. Jurnal Tanah dan Sumberdaya Lahan, 10(2), 451–460. https://doi.org/10.21776/ub.jtsl.2023.010.2.28

Ajeeb, R., Aburas, M. M., Baba, F., Ali, A., & Alazaiza, M. Y. D. (2020). The Prediction of Urban Growth Trends and Patterns using Spatio-temporal CA-MC Model in Seremban Basin. IOP Conference Series: Earth and Environmental Science, 540(1), 012028. https://doi.org/10.1088/1755-1315/540/1/012028

Attaallah, H. (2018). Modeling of built-up lands expansion in Gaza Strip, Palestine using Landsat data and {CA}-Markov model. {IOP} Conference Series: Earth and Environmental Science, 169, 12035. https://doi.org/10.1088/1755-1315/169/1/012035

Badan Standarisasi Nasional. (2010). SNI 7645-2010 tentang Klasifikasi Penutup Lahan.

Demissie, T. A. (2022). Land use and land cover change dynamics and its impact on watershed hydrological parameters: the case of Awetu watershed, Ethiopia. Journal of Sedimentary Environments, 7(1), 79–94. https://doi.org/10.1007/ s43217-021-00084-1

Dutta, D., Rahman, A., Paul, S. K., & Kundu, A. (2019). Changing pattern of urban landscape and its effect on land surface temperature in and around Delhi. Environmental Monitoring and Assessment, 191(9), 551. https://doi.org/10.1007/s10661-019-7645-3

Fallati, L., Savini, A., Sterlacchini, S., & Galli, P. (2017). Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data. Environmental Monitoring and Assessment, 189(8), 417. https://doi.org/10.1007/s10661-017-6120-2

Ghosh, P., Mukhopadhyay, A., Chanda, A., Mondal, P., Akhand, A., Mukherjee, S., Nayak, S. K., Ghosh, S., Mitra, D., Ghosh, T., & Hazra, S. (2017). Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review. Remote Sensing Applications: Society and Environment, 5, 64–77. https://doi.org/10.1016/j.rsase. 2017.01.005.

Irawan, I. A., Supriatna, S., Manessa, M. D. M., & Ristya, Y. (2019). Prediction Model of Land Cover Changes using the Cellular Automata – Markov Chain Affected by the BOCIMI Toll Road in Sukabumi Regency. KnE Engineering, 4(3 SE-Articles). https://doi.org/10.18502/keg. v4i3.5860.

Kamboj, S., & Ali, S. (2021). Urban sprawl of Kota city: A case study of urban heat island linked with electric consumption. Materials Today: Proceedings, 46, 5304–5314. https://doi.org/10.1016/j.matpr. 2020.08.783.

Kisamba, F. C., & Li, F. (2022). Analysis and modelling urban growth of Dodoma urban district in Tanzania using an integrated CA–Markov model. GeoJournal, 88(1), 511–532. https://doi.org/10.1007/s10708-022-10617-4.

Latue, P. C., & Rakuasa, H. (2023). Analysis of Land Cover Change Due to Urban Growth in Central Ternate District, Ternate City using Cellular Automata-Markov Chain. Journal of Applied Geospatial Information, 7(1), 722–728. https://doi.org/10.30871/jagi.v7i1.4653.

Latue, P. C., Manakane, S. E., & Rakuasa, H. (2023). Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density. Blend Sains Jurnal Teknik, 2(1), 26–34. https://doi.org/10.56211/blendsains.v2i1.272.

Latue, P. C., Septory, J. S. I., & Rakuasa, H. (2023). Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023. JPG (Jurnal Pendidikan Geografi), 10(1), 177–186. http://dx.doi.org/10.20527/jpg. v10i1.15472.

Mohamed, A., & Worku, H. (2019). Quantification of the land use/land cover dynamics and the degree of urban growth goodness for sustainable urban land use planning in Addis Ababa and the surrounding Oromia special zone. Journal of Urban Management, 8(1), 145–158. https://doi.org/10.1016/j.jum.2018.11.002.

Munthali, M. G., Mustak, S., Adeola, A., Botai, J., Singh, S. K., & Davis, N. (2020). Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model. Remote Sensing Applications: Society and Environment, 17, 100276. https://doi.org/10.1016 /j.rsase.2019.100276.

Mustafa, A., Ebaid, A., Omrani, H., & McPhearson, T. (2021). A multi-objective Markov Chain Monte Carlo cellular automata model: Simulating multi-density urban expansion in NYC. Computers, Environment and Urban Systems, 87, 101602. https://doi.org/10.1016/j.compen vurbsys.2021.101602.

Mwabumba, M., Yadav, B. K., Rwiza, M. J., Larbi, I., & Twisa, S. (2022). Analysis of land use and land-cover pattern to monitor dynamics of Ngorongoro world heritage site (Tanzania) using hybrid cellular automata-Markov model. Current Research in Environmental Sustainability, 4, 100126. https://doi.org/10.1016/j. crsust.2022.100126.

Permatasari, R. J., Damayanti, A., Indra, T. L., & Dimyati, M. (2021). Prediction of land cover changes in Penajam Paser Utara Regency using cellular automata and markov model. {IOP} Conference Series: Earth and Environmental Science, 623, 12005. https://doi.org/10.1088/1755-1315/623/1/012005.

Rahnama, M. R. (2021). Forecasting land-use changes in Mashhad Metropolitan area using Cellular Automata and Markov chain model for 2016-2030. Sustainable Cities and Society, 64, 102548. https://doi.org/10.1016/j.scs.2020.102548.

Rakuasa, H., Salakory, M., & Latue, P. C. (2022). Analisis dan Prediksi Perubahan Tutupan Lahan Menggunakan Model Celular Automata-Markov Chain di DAS Wae Ruhu Kota Ambon. Jurnal Tanah dan Sumberdaya Lahan, 9(2), 285–295. https://doi.org/10.21776/ub.jtsl.2022.009.2.9.

Rakuasa, H., Sihasale, D. A., Somae, G., & Latue, P. C. (2023). Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method. Jurnal Geosains dan Remote Sensing, 4(1), 1–10. https://doi.org/10.23960/jgrs.2023.v4i1.85.

Rakuasa, H., & Somae, G. (2022). Analisis Spasial Kesesuaian dan Evaluasi Lahan Permukiman di Kota Ambon. Jurnal Sains Informasi Geografi (J SIG), 5(1), 1–9. http://dx.doi.org/10.31314/j%20sig. v5i1.1432.

Rakuasa, H., Supriatna, S., Karsidi, A., Rifai, A., Tambunan, M. ., & Poniman K, A. (2022). Spatial Dynamics Model of Earthquake Prone Area in Ambon City. IOP Conference Series: Earth and Environmental Science, 1039(1), 012057. https://doi.org/10.1088/1755-1315/1039/1/012057.

Saha, S., Saha, A., Das, M., Saha, A., Sarkar, R., & Das, A. (2021). Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India. Remote Sensing Applications: Society and Environment, 22, 100507. https://doi.org/10.1016/j. rsase.2021.100507.

Sapena, M., & Ruiz, L. Á. (2019). Computers , Environment and Urban Systems Analysis of land use / land cover spatio-temporal metrics and population dynamics for urban growth characterization. Computers, Environment and Urban Systems, 73(August 2018), 27–39. https://doi.org/https://doi.org/10.1016/j.compenvurbsys.2018.08.001.

Somae, G., Supriatna, S., Rakuasa, H., & Lubis, A. R. (2023). Pemodelan Spasial Perubahan Tutupan Lahan Dan Prediksi Tutupan Lahan Kecamatan Teluk Ambon Baguala Menggunakan Ca-Markov. Jurnal Sains Informasi Geografi (J SIG), 6(1), 10–19. http://dx.doi.org/10.31314/ jsig.v6i1.1832.

Sugandhi, N., Supriatna, S., Kusratmoko, E., & Rakuasa, H. (2022). Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata-Markov Chain. JPG (Jurnal Pendidikan Geografi), 9(2), 104–118. http://dx.doi.org/10.20527/jpg.v9i2.13880.

Supriatna, S., Mukhtar, M. K., Wardani, K. K., Hashilah, F., & Manessa, M. D. M. (2022). CA-Markov Chain Model-based Predictions of Land Cover: A Case Study of Banjarmasin City. Indonesian Journal of Geography, 54(3). https://doi.org/10.22146/ijg.71721.

Supriatna, Supriatna, J., Koestoer, R. H., & Takarina, N. D. (2016). Spatial Dynamics Model for Sustainability Landscape in Cimandiri Estuary, West Java, Indonesia. Procedia - Social and Behavioral Sciences, 227(November 2015), 19–30. https://doi.org/10.1016/j.sbspro.2016.06.038.

Talukdar, S., Singha, P., Mahato, S., Shahfahad, Pal, S., Liou, Y.-A., & Rahman, A. (2020). Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review. Remote Sensing, 12(7), 1135. https://doi.org/10.3390/rs12071135.

Tian, G., Ma, B., Xu, X., Liu, X., Xu, L., Liu, X., Xiao, L., & Kong, L. (2016). Simulation of urban expansion and encroachment using cellular automata and multi-agent system model—A case study of Tianjin metropolitan region, China. Ecological Indicators, 70, 439–450. https://doi.org/10.1016/j.ecolind.2016.06.021.

Wang, Q., Wang, H., Chang, R., Zeng, H., & Bai, X. (2022). Dynamic simulation patterns and spatiotemporal analysis of land-use/land-cover changes in the Wuhan metropolitan area, China. Ecological Modelling, 464, 109850. https://doi.org/10.1016/j.ecolmodel.2021.109850.

Wang, S. W., Munkhnasan, L., & Lee, W.-K. (2021). Land use and land cover change detection and prediction in Bhutan’s high altitude city of Thimphu, using cellular automata and Markov chain. Environmental Challenges, 2, 100017. https://doi.org/10.1016/j.envc.2020.100017.

Wang, X., Shi, R., & Zhou, Y. (2020). Dynamics of urban sprawl and sustainable development in China. Socio-Economic Planning Sciences, 70, 100736. https://doi.org/10.1016/j.seps.2019.100736.

Zhou, Y., Wu, T., & Wang, Y. (2022). Urban expansion simulation and development-oriented zoning of rapidly urbanising areas: A case study of Hangzhou. Science of The Total Environment, 807, 150813. https://doi.org/10.1016/j.scitotenv.2021.150813.