基于NDVI的钦江流域植被覆被变化及其水沙效应
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作者:
作者单位:

1.北部湾大学 海洋学院;2.广西海洋环境灾害过程与生态保护技术重点实验室

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中图分类号:

P343.1,S157

基金项目:

广西自然科学基金项目(2025GXNSFHA069274); 国家自然科学基金项目(42366008); 广西高校人文社会科学重点研究基地“北部湾海洋发-展研究中心”项目。


NDVI-Based Vegetation Cover Change and Its Water-Sediment Effects in the Qinjiang River Basin
Author:
Affiliation:

Guangxi Key Laboratory of Marine Environmental Change and Ecological Conservation Technology,Qinzhou

Fund Project:

Supported by the Guangxi Natural Science Foundation (2025GXNSFHA069274); the National Natural Science Foundation of China (42366008); and the Guangxi Colleges and Universities Key Research Base of Humanities and Social Sciences "Beibu Gulf Marine Development Research Center".

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    摘要:

    [目的]研究流域植被覆被变化特征及其水沙效应,可为流域治理和河流水沙调控提供科学依据。[方法]基于2000-2021年逐月与逐年的水沙、NDVI和降水数据,以及2000-2024年逐年植被生长季的NDVI、降水与气温数据,通过相关分析、偏相关分析、多元线性回归模型分析等方法,分析钦江流域植被覆被年际和季节变化及其水沙效应,以及多元回归残差分析探讨植被覆被变化的驱动因素。[结果]①2000—2021年钦江流域植被持续恢复,NDVI呈上升趋势,与输沙量形成显著负相关关系;多元线性回归模型表明植被与降水可有效解释输沙量变化,年降水量增加1 mm,年均NDVI增加0.1时,年输沙量减少3.05×10? t。②钦江流域NDVI的季节变化表现为夏季>秋季>春季>冬季,植被对水沙过程的调节具有明显季节差异:夏季植被拦沙作用最强,输沙量与NDVI负相关;与春、冬季则呈正相关,体现出植被水土保持效应的季节非对称性。③气候变化与人类活动对植被变化的总贡献率均超过90%,气温升高和植树造林是促进植被恢复的主要因素,降水丰富和气温较高的中下游区域贡献率要高于上游,而城镇的扩张对植被覆被具有抑制作用。[结论]钦江流域的植被恢复减沙效果明显,多元线性回归模型可以较好地反映输沙量的变化,在北部湾河流流域具有一定的实用性,未来需重点关注城镇区域的生态建设。研究结果可为平陆运河建设背景下的水沙调控、生态修复及流域治理提供一定的科学依据。

    Abstract:

    [Objective] To investigate the variations in vegetation cover in the Qinjiang River Basin and their effects on runoff and sediment load, and to provide scientific support for watershed management and sediment regulation. [Methods] Monthly and annual data series (2000–2021) of runoff, sediment load, NDVI, and precipitation, alongside annual growing-season datasets of NDVI, precipitation, and temperature (2000–2024), were used. Correlation analysis, partial correlation analysis, and multiple linear regression models were applied to analyze the interannual and seasonal variations in vegetation cover and their water–sediment responses, while regression residual analysis was used to explore the driving factors behind vegetation cover change. [Results] ① From 2000 to 2021, vegetation cover in the Qinjiang River Basin showed a continuous improvement, with NDVI exhibiting an increasing trend and a significant negative correlation with sediment load. Multiple linear regression results indicate that vegetation cover and precipitation jointly explain variations in sediment load: an increase of 1 mm in annual precipitation combined with an increase of 0.1 in the annual mean NDVI was associated with a reduction of 3.05×10? t in annual sediment load. ② Seasonal variations in NDVI followed the order of summer > autumn > spring > winter. The regulation of water–sediment processes by vegetation exhibited pronounced seasonal differences. Vegetation showed the strongest sediment retention effect in summer, with a negative correlation between NDVI and sediment load, whereas positive correlations were observed in spring and winter, indicating a distinct seasonal asymmetry in soil and water conservation effects. ③ Climate change and human activities collectively accounted for more than 90% of the total contribution to vegetation cover change. Temperature increase and afforestation were the main drivers of vegetation restoration. The contribution rates were greater in the warmer and wetter mid-lower reaches than in the upper reaches, while urban expansion exerted an inhibitory effect on vegetation cover. [Conclusion] Vegetation restoration in the Qinjiang River Basin has produced a significant sediment reduction effect. The multiple linear regression model effectively captures the variations in sediment load and demonstrates potential for application in other river basins within the Beibu Gulf region. Future attention should be given to ecological construction in urbanized areas. The results provide scientific support for sediment regulation, ecological restoration, and watershed management under the background of the Pinglu Canal construction.

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  • 收稿日期:2025-09-29
  • 最后修改日期:2026-01-14
  • 录用日期:2026-01-16
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