Department of Geography, Lovely Professional University, Phagwara, 144411, India; Department of Research Impacts and Outcome, Division of Research and Development, Lovely Professional University, Phagwara, 144411, India.
Civil Engineering Department and Member of GIS Cell, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India.
J Environ Manage. 2024 Nov;370:122469. doi: 10.1016/j.jenvman.2024.122469. Epub 2024 Sep 11.
Land Use/Land Cover (LULC) dynamics provide a crucial role in the monitoring, planning, and management of resources. They also offer valuable information for developing strategies to balance conservation efforts, resolve conflicts between different land uses, and address pressures from growth. The present study focuses on the assessment of LULC dynamics, their forecasting, and their changes for Prayagraj city (including its surroundings) of India. Using long-term spatiotemporal Landsat datasets (1988-2018), we have explored the interlinkages between the change dynamics and human population pressure to explore the impact of agriculture and urbanization on the city landscape. Future growth prediction is carried out by incorporating Cellular Automaton (CA) and Artificial Neural Network (ANN) models. Six exploratory layers (viz., roads, educational institutes, railway transition, slope, river, and restricted area) are used in the learning process to determine LULC change (1997-2008) simulation. The validation of real and predicted LULC is carried out for 2018, where the correctness percentage and kappa value are found to be 90.29% and 0.87, respectively. Then, the ANN- Multilayer perceptron (MLP) and CA model are applied to predict LULC-2028 using the same trained transition probabilities. Results show that Built-land has grown highly by 10.03%, whereas Agriculture land and Forest land have significantly decreased by 13.43% and 3.03%, respectively, from 1988 to 2018. The predicted LULC of 2028 reveals that Built-land will keep growing by 2.83% during 2018-2028 at the cost of Agriculture land and Forest land, especially in northern, south-western and southern region, including city's inner sphere. United Nations' human population projection reveals that the city is expected to reach a population of 1.625 million by 2028. This indicates that tremendous pressure will be placed on land resources, particularly on agricultural, barren, and forested areas. To address this alarming scenario, it is imperative to delineate future development areas, ensuring better urban planning for the environmental sustainability and economic prosperity of Prayagraj city.
土地利用/土地覆盖(LULC)动态为资源的监测、规划和管理提供了关键作用。它们还为制定平衡保护工作、解决不同土地利用之间的冲突以及应对增长压力的战略提供了有价值的信息。本研究侧重于评估印度 Prayagraj 市(包括其周边地区)的土地利用/土地覆盖动态、预测及其变化。我们利用长期的时空 Landsat 数据集(1988-2018 年),探索了变化动态与人口压力之间的相互关系,以探讨农业和城市化对城市景观的影响。未来的增长预测是通过结合元胞自动机(CA)和人工神经网络(ANN)模型来进行的。在学习过程中使用了六个探索层(即道路、教育机构、铁路过渡、坡度、河流和限制区域)来确定土地利用/土地覆盖变化(1997-2008 年)的模拟。对 2018 年的真实和预测土地利用/土地覆盖进行了验证,其中正确性百分比和kappa 值分别为 90.29%和 0.87。然后,使用相同的训练转移概率,将 ANN-多层感知机(MLP)和 CA 模型应用于预测 2028 年的土地利用/土地覆盖。结果表明,自 1988 年以来,建成区的增长率高达 10.03%,而农业用地和森林用地分别显著减少了 13.43%和 3.03%。2028 年的预测土地利用/土地覆盖表明,建成区在 2018-2028 年期间将以农业用地和森林用地为代价继续增长 2.83%,特别是在北部、西南部和南部地区,包括城市的内部区域。联合国的人口预测显示,到 2028 年,该市的人口预计将达到 162.5 万。这表明土地资源将面临巨大压力,特别是在农业、荒地和森林地区。为了解决这一令人担忧的情况,必须划定未来发展区域,确保更好的城市规划,以实现 Prayagraj 市的环境可持续性和经济繁荣。