基于地理空间技术的尼日尔三角洲地区海岸线变化和土地利用/土地覆盖变化检测的环境影响

E. Rowland, Abiola Abimbola Lolade, Digha Opaminola Nicholas, A. Opukumo, F. Omonefe
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引用次数: 0

摘要

管理海洋资源需要对沿海过程有透彻的了解。本研究考察了1990年至2021年间海岸线的变化,并评估了这些变化如何影响土地利用和土地覆盖(LULC)。在尼日利亚巴耶尔萨州的叶纳戈阿,在31年的时间里,伊科利河、尼农河和奥克斯博湖的海岸线变化显示出由侵蚀引起的显著振荡。特别是,波段比率用于对相关年份每个地区的LULC地图进行分类。尼姑河沿岸岸线占比为31% ~ 35%,以2013年最高;沿伊科利河,这一比例为33%至35%,2021年是最高的;根据使用ArcGIS软件对美国地质调查局数据集的准确评估,沿Oxbow湖,它是21%到35%,2021年是最高的。LULC预测,由于该地区的采砂、船舶交通、大雨、养鱼和油气作业,从1990年到2021年,植被和裸地将急剧减少,而建成区和水体将增加。环境压力源和气候变化的社会经济风险被LULC识别。地理空间在海岸防御和可持续土地利用战略中很有用。
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The Environmental Impact of Shoreline Changes and Land Use/Land Cover Change Detection in the Niger Delta Region using Geospatial Technology
Managing resources in marine areas necessitates a thorough understanding of coastal processes. This study examines the changes to the shoreline between 1990 and 2021 and assesses how those changes have impacted land use and land cover (LULC). In Yenagoa, Bayelsa State, Nigeria, over a period of 31 years, shoreline changes in the Ikoli River, River Nun, and Oxbow Lake revealed notable oscillations caused by erosion. In particular, band ratios are used to classify LULC maps for each district across the relevant years. The shoreline along the River Nun ranges from 31% to 35%, with 2013 being the highest; along the Ikoli River, it is 33% to 35%, with 2021 being the highest; and along Oxbow Lake, it is 21% to 35%, with 2021 being the highest, according to accurate evaluations of the United States Geological Survey datasets using ArcGIS software. Due to sand mining, boat traffic, heavy rain, fish farming, and oil and gas operations in the area, LULC predicts a sharp decline in vegetation and bare land from 1990 to 2021 and an increase in built-up areas and waterbodies. The socioeconomic risk from environmental stressors and climate change is identified by LULC. Geospatial is useful in coastal defenses and sustainable landuse strategies.
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