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利用 HSPF 模型模拟在气候和土地利用/土地覆被变化影响下的适应措施:在尼日利亚贡戈拉河流域的应用。

Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: Application to Gongola river basin, Nigeria.

机构信息

School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia; Department of Water Resources and Environmental Engineering, Ahmadu Bello University Zaria, Nigeria; Department of Civil Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria.

School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, Malaysia.

出版信息

Sci Total Environ. 2023 Feb 1;858(Pt 2):159874. doi: 10.1016/j.scitotenv.2022.159874. Epub 2022 Nov 2.

Abstract

Recently, there is an upsurge in flood emergencies in Nigeria, in which their frequencies and impacts are expected to exacerbate in the future due to land-use/land cover (LULC) and climate change stressors. The separate and combined forces of these stressors on the Gongola river basin is feebly understood and the probable future impacts are not clear. Accordingly, this study uses a process-based watershed modelling approach - the Hydrological Simulation Program FORTRAN (HSPF) (i) to understand the basin's current and future hydrological fluxes and (ii) to quantify the effectiveness of five management options as adaptation measures for the impacts of the stressors. The ensemble means of the three models derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed for generating future climate scenarios, considering three distinct radiative forcing peculiar to the study area. Also, the historical and future LULC (developed from the hybrid of Cellular Automata and Markov Chain model) are used to produce the LULC scenarios for the basin. The effective calibration, uncertainty and sensitivity analyses are used for optimising the parameters of the model and the validated result implies a plausible model with efficiency of up to 75 %. Consequently, the results of individual impacts of the stressors yield amplification of the peak flows, with more profound impacts from climate stressor than the LULC. Therefore, the climate impact may trigger a marked peak discharge that is 48 % higher as compared to the historical peak flows which are equivalent to 10,000-year flood event. Whilst the combine impacts may further amplify this value by 27 % depending on the scenario. The proposed management interventions such as planned reforestation and reservoir at Dindima should attenuate the disastrous peak discharges by almost 36 %. Furthermore, the land management option should promote the carbon-sequestering project of the Paris agreement ratified by Nigeria. While the reservoir would serve secondary functions of energy production; employment opportunities, aside other social aspects. These measures are therefore expected to mitigate feasibly the negative impacts anticipated from the stressors and the approach can be employed in other river basins in Africa confronted with similar challenges.

摘要

最近,尼日利亚洪水紧急情况呈上升趋势,由于土地利用/土地覆被(LULC)和气候变化压力,预计未来其频率和影响将会加剧。这些压力源对贡戈拉河流域的单独和综合影响尚未得到充分了解,未来的可能影响尚不清楚。因此,本研究采用基于过程的流域建模方法——水文模拟程序 FORTRAN(HSPF)(i)了解流域当前和未来的水文通量;(ii)量化五种管理选项作为适应这些压力源影响的措施的有效性。该研究使用耦合模式比较计划第五阶段(CMIP5)的三个模型的集合平均值来生成未来气候情景,考虑了该研究区域特有的三种不同辐射强迫。此外,还使用历史和未来的土地利用/土地覆被(由元胞自动机和马尔可夫链模型的混合体开发)为流域生成土地利用/土地覆被情景。有效的校准、不确定性和敏感性分析用于优化模型的参数,验证后的结果表明该模型具有高达 75%的效率,这是一个合理的模型。因此,压力源的个别影响的结果导致峰值流量放大,气候压力源的影响比土地利用/土地覆被的影响更为深远。因此,气候影响可能引发明显的峰值排放,比历史峰值流量高 48%,而历史峰值流量相当于 10000 年一遇的洪水事件。而综合影响则可能根据情景进一步放大这个数值 27%。所提出的管理干预措施,如计划在 Dindima 进行的重新造林和水库建设,应该可以将灾难性的峰值流量减少近 36%。此外,土地管理方案应该促进尼日利亚批准的《巴黎协定》的碳固存项目。而水库则可以发挥次要的能源生产功能;除其他社会方面外,还可以提供就业机会。因此,这些措施有望减轻压力源带来的负面影响,这种方法可以在非洲其他面临类似挑战的河流流域采用。

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