土地利用、土地覆盖与气候变化的相互作用:以印度卡纳塔克邦Raichur地区为例

Q2 Environmental Science
Degu Zewdu , C. Muralee Krishnan , P.P. Nikhil Raj , Yila Caiaphas Makadi , Masoud K. Barati , Sudha Arlikatti
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引用次数: 0

摘要

土地利用、气候及其相互作用之间的相互作用在不同的尺度上运作,对有效管理提出了挑战。然而,由于缺乏涵盖人为气候变化及其影响所体现的时间尺度的历史土地利用数据,对气候和土地利用相互作用的调查往往局限于时空替代。本研究评估了1985 - 2023年印度Raichur地区土地利用、土地覆盖(LULC)和气候变化的相互作用。我们使用美国地质调查局Landsat 5、7和8多光谱数据进行土地覆盖分析,而印度气象部门的气候数据用于历史气候变化分析。此外,基于CMIP6环流模式的ssp585极端社会经济情景下的未来气候预估可作为基于标准降水和蒸散指数的未来气候极端事件的基础。将Landsat影像划分为不同的主要LULC类,并对每个LULC的面积范围进行了评估。结果表明:森林覆盖面积减少,建设用地面积增加;休耕面积减少,水域面积直线减少。气候分析显示,年降雨量变化显著,2018年降雨量最低,2020年降雨量最高。气温分析显示增温趋势,最高气温和平均气温均呈现显著上升趋势,p值分别为0.05和0.01。利用SPI和SPEI分析干旱严重程度,分别确定了27和23个干旱事件。耕地、建成区、混交林、灌丛、荒地和水体与年降雨量呈显著正相关。研究区温度与混交林、农田、荒地和水体呈负相关。本研究的结果对该地区土地利用效率和气候条件的动态变化提供了有价值的见解,为可持续土地利用规划和气候适应措施提供了重要的投入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactions of land use, land cover, and climate change: A case study of Raichur District, Karnataka, India
The interplay between land use, climate and their interactions operates across different scales, posing challenges to effective management. Yet, due to a lack of historical land-use data covering the timescales over which anthropogenic climate change and its effects have manifested, investigations of climate and land-use interactions are often limited to space-for-time substitution. This study assessed land use, land cover (LULC), and climate change interaction from 1985 to 2023 in the Raichur district, India. We used the U.S. Geological Survey Landsat 5, 7, and 8 multi-spectral data for land cover analysis, while climate data from the India Meteorological Department were utilised for historical climate change analysis. Additionally, future climate projection based on the CMIP6 General Circulation Model under the extreme socio-economic scenario of ssp585 served as the basis for future climate extreme events using standard precipitation and evapotranspiration index. The Landsat images were classified into different major LULC classes, and the area extent of each LULC was assessed. The results show that forest cover decreased, and the area of built-up land increased. The extent of ​​fallow land also reduced, while the water areas had decreased straightforwardly. Climate analysis shows a significant variation in annual rainfall, with 2018 recording the lowest rainfall and 2020 recording the highest. Temperature analysis shows a warming trend with both maximum and average temperature demonstrating a statistically significant increase, with p-values of 0.05 and 0.01, respectively. The analysis of drought severity using SPI and SPEI identified 27 and 23 drought events, respectively. The correlation analysis between LULC and climate variables revealed that cropland, built-up areas, mixed forests, shrublands, wastelands, and water bodies positively correlate to annual rainfall. The temperature in the study area is negatively correlated with mixed forest, cropland, wasteland, and water bodies. The results from this study stipulate valuable insights into the region's dynamic changes in LULC and climate conditions, offering essential input for sustainable land use planning and climate adaptation measures.
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来源期刊
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
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