Scenario-based modelling of carbon storage and sequestration using InVEST model in Kolkata, India, and its environs

IF 1.827 Q2 Earth and Planetary Sciences
Swarnava Dey, Jayita Guha Niyogi, Debashish Das
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引用次数: 0

Abstract

Assessment of urban carbon balance is imperative to address anthropogenic climate change. Biotic sequestration by urban vegetation and soil boosts terrestrial carbon storage and helps in maintaining the balance. However, unplanned urbanization in developing nations has caused an alarming loss of stored carbon. This study aims to quantify the spatio-temporal change in carbon storage for past, present, and future scenarios in Kolkata and its surroundings using the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model. Four plausible future scenarios were simulated using a two-axis scenario analysis, based on two major drivers of urban sustainability: economic growth and restoration of UGS (urban green space). Each simulated scenario corresponds to the presumptive narrative of a 10% change in the LULC (land-use land-cover). The findings indicate a substantial loss of stored carbon (2.03 Tg) with a valuation of $ 410 million from 1992 to 2022. Notable reduction of carbon storage can be detected in the eastern and southern periphery, in a 10–15 km radius from the center of the city. This loss is mostly attributed to the emergence of key urban growth centers, characterized by large-scale infrastructural development. Compared to 2022, total carbon storage decreased by 10–15% in scenarios directed by economic development (least focus on UGS restoration), whereas it increased by 21% when UGS were restored. The methodology combines scenario analysis with carbon storage modelling, providing researchers and urban planners with valuable insights for proactive policy planning that support healthy urban livelihoods and ecosystems. It also helps in assessing the importance of urban vegetation and soil as natural carbon sinks.

利用InVEST模型对印度加尔各答及其周边地区的碳储存和固存进行基于场景的建模
城市碳平衡评估是应对人为气候变化的必要手段。城市植被和土壤的生物隔离促进了陆地碳储存,有助于维持平衡。然而,发展中国家无计划的城市化已经造成了惊人的碳储量损失。本研究旨在利用InVEST(生态系统服务与权衡综合评估)模型,量化加尔各答及其周边地区过去、现在和未来情景下碳储量的时空变化。基于城市可持续性的两个主要驱动因素:经济增长和城市绿地恢复,采用双轴情景分析方法模拟了四种可能的未来情景。每个模拟情景对应于土地利用土地覆盖(LULC)变化10%的假设叙述。研究结果表明,从1992年到2022年,储存碳的大量损失(2.03 Tg)价值为4.1亿美元。在距离市中心10-15公里的东部和南部外围地区,碳储量显著减少。这种损失主要归因于主要城市增长中心的出现,其特点是大规模的基础设施发展。与2022年相比,在以经济发展为导向的情景下,总碳储量减少了10-15%(对UGS恢复的关注最少),而在UGS恢复的情景下,总碳储量增加了21%。该方法将情景分析与碳储存建模相结合,为研究人员和城市规划者提供了有价值的见解,有助于开展前瞻性政策规划,支持健康的城市生计和生态系统。它还有助于评估城市植被和土壤作为天然碳汇的重要性。
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来源期刊
Arabian Journal of Geosciences
Arabian Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
自引率
0.00%
发文量
1587
审稿时长
6.7 months
期刊介绍: The Arabian Journal of Geosciences is the official journal of the Saudi Society for Geosciences and publishes peer-reviewed original and review articles on the entire range of Earth Science themes, focused on, but not limited to, those that have regional significance to the Middle East and the Euro-Mediterranean Zone. Key topics therefore include; geology, hydrogeology, earth system science, petroleum sciences, geophysics, seismology and crustal structures, tectonics, sedimentology, palaeontology, metamorphic and igneous petrology, natural hazards, environmental sciences and sustainable development, geoarchaeology, geomorphology, paleo-environment studies, oceanography, atmospheric sciences, GIS and remote sensing, geodesy, mineralogy, volcanology, geochemistry and metallogenesis.
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