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Abstract

Industrial development in Indonesia has been predominantly concentrated on Java Island, particularly in Karawang Regency, West Java Province. Covering an area of 175,327 hectares, Karawang has been identified as a strategic region for national food security. The Minister of Agrarian Affairs and Spatial Planning designated 95,667.45 hectares of rice fields as protected agricultural land. However, the expansion of industrial and residential areas within the regency poses a significant threat to its role as the national rice granary and to broader food security. As industrial land occupancy increases, the environmental capacity to support rice production and ensure national food security declines. This study aims to assess the environmental impacts of land use changes in the industrial zones of Karawang Regency for 30 years. Spatial imagery data were processed using supervised classification techniques to Landsat 5 and Landsat 8 TM level 1 geocoded imagery. The environmental impacts were analyzed using Geographic Information Systems (GIS) and further supported by in-depth interviews concerning flood events that occurred over the past five years. The multiple regression analysis was conducted to evaluate the influence of environmental, economic, and social factors on flood impact losses. The results indicated that 55.6% of the variation in flood impact losses could be explained by the combined effect of the three independent variables. The findings revealed substantial land use changes over the past 40 years, with approximately 38,571 hectares (22%) of vegetation and water bodies were lost and replaced by industrial and residential developments, which increased by 31,558 hectares (18%). A strong correlation was observed between land use changes and the environmental impacts of flooding in Karawang Regency. Accordingly, it is recommended that local government implement measure to regulate land conversion to mitigate further environmental degradation. An integrated spatial planning approach that incorporates ecological considerations, is strongly advised to reduce the risk of flooding in industrial areas

References

Alawamy, J. S., Balasundram, S. K., Mohd. Hanif, A. H., & Boon Sung, C. T. (2020). Detecting and analyzing land use and land cover changes in the region of Al-Jabal Al-Akhdar, Libya using time-series landsat data from 1985 to 2017. Sustainability, 12(11), 4490. https://doi.org/10.3390/su12114490

Aruminningsih, D., Martono, D. N., Soesilo, T. E. B., & Tambunan, R. P. (2022). Flood disaster risk model in Karawang Regency's industrial area, West Java Province, Indonesia. Indonesian Journal of Geography, 54(1), 70–83. https://doi.org/10.22146/ijg.69720

Bayazit, Y., Cengiz, K., & Recep, B. (2020). Urbanization impacts on flash urban floods in Bodrum Province, Turkey. Journal Hydrological Sciences. https://doi.org/10.1080/02626667.2020.1851031

Bronfman, N. C., Castañeda, J. V., Guerrero, N. F., Cisternas, P., Repetto, P. B., Martínez, C., & Chamorro, A. (2023). A Community Disaster Resilience Index for Chile. Sustainability, 15, 6891. https://doi.org/10.3390/su15086891

Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1), 35–46. https://doi.org/10.1016/0034-4257(91)90048-B

Dubertret, F., Le Tourneau, F. M., Villarreal, M. L., & Norman, L. M. (2022). Monitoring annual land use/land cover change in the Tucson metropolitan area with Google Earth Engine (1986–2020). Remote Sensing, 14(9), 2127. https://doi.org/10.3390/rs14092127

Firoozi, A. A., & Firoozi, A. A. (2024). Water erosion processes: Mechanisms, impact, and management strategies. Results in Engineering, 24, Article 103237. https://doi.org/10.1016/j.rineng.2024.103237

Foody, G. M. (2002). Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1), 185–201. https://doi.org/10.1016/S0034-4257(01)00295-4

Guan, D., Li, H., Inohae, T., Su, W., Nagaie, T., & Hokao, K. (2011). Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling, 222(20-22), 3761-3772. http://dx.doi.org/10.1016/j.ecolmodel.2011.09.009

Imadudin, I., & Nuralia, L. (2022). Rituals of paddy sustainability in Karawang Regency. In Proceedings of the Sixth International Conference on Language, Literature, Culture, and Education (ICOLLITE 2022) (pp. 249–255). Atlantis Press. https://doi.org/10.2991/978-2-494069-91-6_38

Kouassi, J., Gyau, A., Diby, L., Bene, Y., & Kouamé, C. (2021). Assessing land use and land cover change and farmers’ perceptions of deforestation and land degradation in south-west Côte d’Ivoire, West Africa. Land (Basel), 10(429), 429. https://doi.org/10.3390/land10040429

Lambin, E. F., Geist, H. J., & Lepers, E. (2001). Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources, 28(1), 205–241. https://doi.org/10.1146/annurev.energy.28.050302.105459

Liang, Y., Wang, Y., Zhao, Y., Lu, Y., & Liu, X. (2019). Analysis and projection of flood hazards over China. Water, 11(5), 1022. https://doi.org/10.3390/w11051022

Lu, Y., Wu, P., Ma, X., & Li, X. (2019). Detection and prediction of land use/land cover change using spatiotemporal data fusion and the cellular automata–Markov model. Environmental Monitoring and Assessment, 191(2), 1-19. https://doi.org/10.1007/s10661-019-7200-2

Moechtar, W. P., & Warlina, L. (2019). Identifikasi alih fungsi lahan dari sektor pertanian ke sektor jasa dan perdagangan kecamatan Telukjambe Timur, Kabupaten Karawang. Jurnal Wilayah dan Kota, 6(1), 1-13. https://ojs.unikom.ac.id/index.php/wilayahkota/article/view/2451/1627

Mohan Rajan, S. N., Loganathan, A., & Manoharan, P. (2020). Survey on land use/land cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and challenges. Environmental Science and Pollution Research, 27, 29900-29926. https://link.springer.com/article/10.1007/s11356-020-09091-7

Mulya, S. P., & Hudalah, D. (2024). Agricultural intensity for sustainable regional development: A case study in peri-urban areas of Karawang Regency, Indonesia. Regional Sustainability, 5, 100117. https://doi.org/10.1016/j.regsus.2024.100117

Nugroho, S. P., Handayani, L. D. W., Meidiza, R., & Munggaran, G. (2019). Land use change analysis for hydrology response and planning management of Cibeet sub-watershed, West Java, Indonesia. IOP Conference Series. Earth and Environmental Science, 284(1), 12002. https://doi.org/10.1088/1755-1315/284/1/012002

Roy, D. P., Wulder, M. A., Loveland, T. R., et al. (2014). Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145, 154–172. https://doi.org/10.1016/j.rse.2014.02.001

Septiani, R., Citra, I. P. A., & Nugraha, A. S. A. (2019). Perbandingan metode supervised classification dan unsupervised classification terhadap penutup lahan di Kabupaten Buleleng. Jurnal Geografi: Media Informasi Pengembangan dan Profesi Kegeografian, 16(2), 90-96. https://doi.org/10.15294/jg.v16i2.19777

Shang, C., Wulder, M. A., Coops, N. C., White, J. C., & Hermosilla, T. (2020). Spatially-explicit prediction of wildfire burn probability using remotely-sensed and ancillary data. Canadian Journal of Remote Sensing, 46(3), 313-329. https://doi.org/10.1080/07038992.2020.1788385

She, X., Li, C., & Sun, Y. (2010). Comparison and analysis research on geometric correction of remote sensing images. In 2010 International Conference on Image Analysis and Signal Processing (pp. 169–175). IEEE. https://doi.org/10.1109/IASP.2010.5476139

Singh, A. (1989). Review article digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989-1003. https://doi.org/10.1080/01431168908903939

Sugandi, D. (2007). Model penanggulangan banjir. Jurnal Geografi Gea, 7(1). http://dx.doi.org/10.17509/gea.v7i1.1709

Sugandi, D., Somantri, L., & Sugito, N. (2009). Sistem informasi geografis. Jurusan Pendidikan Geografi, Fakultas Pendidikan Ilmu Pengetahuan Sosial, Universitas Pendidikan Indonesia.

Sukowati, K. A., & Kusratmoko, E. (2019). Analysis of the distribution of flood area in Karawang regency using SAR Sentinel 1A image. IOP Conference Series. Earth and Environmental Science, 311(1), 12085. https://doi.org/10.1088/1755-1315/311/1/012085

Tian, L., Ge, B., & Li, Y. (2017). Impacts of state-led and bottom-up urbanization on land use change in the peri-urban areas of Shanghai: Planned growth or uncontrolled sprawl? Cities, 60, 476-486. https://doi.org/10.1016/j.cities.2016.01.002

United States Geological Survey (USGS). (2021). Landsat Missions. https://www.usgs.gov/landsat-missions

Verburg, P. H., van Asselen, S., Kraemer, R., & Eitelberg, D. A. (2009). Land use change and environmental impact. In Land Use, Climate Change and Biodiversity Modeling: Perspectives and Applications (pp. 75–90). European Commission

Widiatmaka, Ambarwulan, W., & Munibah, K. (2013). Land use change during a decade as determined by Landsat imagery of a rice production region and its implication to regional contribution to rice self-sufficiency: Case study of Karawang regency, West Java, Indonesia. 34th Asian Conference on Remote Sensing 2013, ACRS 2013, 4, 3330–3336. http://repository.ipb.ac.id/handle/123456789/67827

Wijdani, A. F., Kurniawan, A., & Murti, S. H. B. S. (2023). Correlation between alterations in degree of urbanization and the dynamics of agricultural land in Karawang regency. E3S Web of Conferences, 468, 10002. https://doi.org/10.1051/e3sconf/202346810002

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