Assessing the Nexus Between Landscape Degradation and Flooding in the Niger River Catchment, Southeastern Nigeria: A 40-Year Geospatial Dynamics (1992–2022)

IF 3.6 2区 农林科学 Q2 ENVIRONMENTAL SCIENCES
Osuagwu C. Charles, Ani D. Chinedu
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引用次数: 0

Abstract

This paper examines the relationship between landscape degradation and flooding in the Niger River catchment of Onitsha, Nigeria, over a 40-year period (1992–2022), focusing on changes in land use and land cover characteristics. Satellite images were preprocessed and classified using Anderson's classification technique. Erdas Imagine GIS software was adopted to carry out change analysis for each of the classes generated. The Landsat images for all the years (1992, 2002, 2012, and 2022) were acquired for the months of July (wet season) and December (dry season) and analyzed. The trends in seasonal changes in land use and land cover characteristics were prominent in the wet season. This was significantly seen in changes for water body and vegetative area. Built-up areas and open spaces indicated a decrease during the wet season compared to the dry season. The notable changes occurred in water bodies and vegetation across the studied years, peaking in 1992 with 1628.82 ha for water bodies and 8993.79 ha for vegetation. In 2012, these values were 2040.93 and 8977.5 ha. The largest seasonal shifts were in vegetative areas in 2012 and built-up in 2022. After analyzing the geospatial data according to the classifications, the study uncovers a notable link between landscape degradation and increased flood susceptibility. Notably, the findings highlight that shifts in these landscape features during the wet season significantly impact flood occurrence, emphasizing the critical role of landscape degradation in exacerbating flood risks in the region.
评估尼日利亚东南部尼日尔河流域景观退化与洪水之间的关系:40 年地理空间动态(1992-2022 年)
本文研究了尼日利亚奥尼沙尼日尔河流域 40 年间(1992-2022 年)景观退化与洪水之间的关系,重点关注土地利用和土地覆被特征的变化。卫星图像采用安德森分类技术进行预处理和分类。采用 Erdas Imagine GIS 软件对生成的每个类别进行变化分析。所有年份(1992 年、2002 年、2012 年和 2022 年)的陆地卫星图像都是在 7 月(雨季)和 12 月(旱季)采集的,并进行了分析。土地利用和土地覆被特征的季节性变化趋势在雨季表现突出。这主要体现在水体和植被面积的变化上。与旱季相比,雨季的建筑区和空地有所减少。水体和植被在研究年份中发生了显著变化,1992 年达到顶峰,水体面积为 1628.82 公顷,植被面积为 8993.79 公顷。2012 年,这两个数值分别为 2040.93 公顷和 8977.5 公顷。季节变化最大的是 2012 年的植被区和 2022 年的建筑区。根据分类对地理空间数据进行分析后,研究发现景观退化与洪水易感性增加之间存在明显联系。值得注意的是,研究结果突出表明,这些景观特征在雨季的变化对洪水的发生有显著影响,强调了景观退化在加剧该地区洪水风险方面的关键作用。
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来源期刊
Land Degradation & Development
Land Degradation & Development 农林科学-环境科学
CiteScore
7.70
自引率
8.50%
发文量
379
审稿时长
5.5 months
期刊介绍: Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.
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