黄河中游河龙区间侵蚀产沙对景观特征的非线性响应

黄萱; 丁继辉; 邹钰文; 王玥; 佘冬立

doi:10.13870/j.cnki.stbcxb.2021.06.013

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黄河中游河龙区间侵蚀产沙对景观特征的非线性响应

更新时间：2025-03-12

- 黄河中游河龙区间侵蚀产沙对景观特征的非线性响应
- Nonlinear Responses of Sediment Yield Modulus to Watershed Landscape Characteristics in Hekouzhen Longmen Section of the Middle Reaches of Yellow River
- 水土保持学报 2021年35卷第6期页码：88-94
- 作者机构：
  
  1. 河海大学农业科学与工程学院,南京,211100
  2. 中国科学院教育部水土保持与生态环境研究中心黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
- 作者简介：
  
  [ "黄萱(1992-),女,讲师,主要从事土壤侵蚀研究。E-mail:xuan@hhu.edu.cn" ]
- 基金信息：
  
  中国科学院"西部之光"计划项目国家自然科学基金青年项目（42007053）
- DOI：10.13870/j.cnki.stbcxb.2021.06.013
  中图分类号： P931.1
- 纸质出版：2021
- 稿件说明：
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黄萱, 丁继辉, 邹钰文, 等. 黄河中游河龙区间侵蚀产沙对景观特征的非线性响应[J]. 水土保持学报, 2021,35(6):88-94.

HUANG Xuan, DING Jihui, ZOU Yuwen, et al. Nonlinear Responses of Sediment Yield Modulus to Watershed Landscape Characteristics in Hekouzhen Longmen Section of the Middle Reaches of Yellow River[J]. 2021, 35(6): 88-94.
黄萱, 丁继辉, 邹钰文, 等. 黄河中游河龙区间侵蚀产沙对景观特征的非线性响应[J]. 水土保持学报, 2021,35(6):88-94. DOI： 10.13870/j.cnki.stbcxb.2021.06.013.

HUANG Xuan, DING Jihui, ZOU Yuwen, et al. Nonlinear Responses of Sediment Yield Modulus to Watershed Landscape Characteristics in Hekouzhen Longmen Section of the Middle Reaches of Yellow River[J]. 2021, 35(6): 88-94. DOI： 10.13870/j.cnki.stbcxb.2021.06.013.

摘要

为明确退耕还林（草）工程期间景观特征变化对侵蚀产沙过程的非线性影响机制，以2006—2016年黄河流域河龙区间33个水文站控制子流域为研究对象，采用增强回归树方法分析了河龙区间子流域产沙模数时空差异的景观驱动因子，定量评价了各景观特征与产沙模数的非线性关系。结果表明，林地和耕地面积比例对产沙模数变异贡献最大，分别贡献22.0%和16.9%的变异；林地面积的增加和耕地面积的减少可以减少产沙模数，但当林地面积>15%，耕地面积<20%时，对产沙模数的影响减弱；增加林地和草地的植被覆盖度对水土流失的减缓作用也存在阈值，草地和林地植被覆盖度的阈值分别为0.5和0.3，当超过该阈值后，其对侵蚀产沙过程的减缓作用趋于弱化；适当减少边界密度数量有利于控制流域土壤侵蚀，当边界密度<60 m/100 hm2时，边界密度对产沙模数影响不大，当超过阈值后，产沙模数随着边界密度的增加急剧增大。当边界密度维持在60 m/100 hm2之内时，可以达到适宜的水土流失防治效果。研究结果揭示了河龙区间流域尺度上景观因子对侵蚀产沙过程的阈值效应，可以为黄河流域植被合理恢复提供重要参考。

Abstract

To clarify the non-linear influence mechanism of landscape feature on the sediment yield during the "Grain for Green" project

our study selected 33 hydrological station-controlled sub-basins in the in Hekouzhen Longmen Section of the middle reaches of Yellow River during 2006—2016. We used the boosting regression tree method to analyze the non-linear relationships between landscape drivers and sediment yield modulus of the selected sub-basin. The results showed that the proportion of forest and agricultural land contributed the most to the variation of the sediment yield modulus

which contributing 22.0% and 16.9% respectively. Increasing the proportion of forest land or decreasing the proportion of agricultural land can reduce the sediment yield modulus

but when the proportion of forest land area exceeds 15% or the agricultural land area is less than 20%

the increasing rate of sediment yield modulus becomes stable. Increasing the vegetation coverage of forest land and grass land also has a threshold for mitigating soil erosion

and the threshold value of normalized difference vegetation index (NDVI) in grass land and forest land is 0.5 and 0.3 respectively. When the NDVI value below the threshold

the sediment yield modulus decreases rapidly with increase in NDVI

but the effect of vegetation improvement in grass land and forest land on sediment yield modulus is stable when exceeded the thresholds. Reducing the number of edge density (ED) appropriately is conducive to controlling soil erosion

when the ED maintained at 60/100 hectares can achieve the prevention and control of soil erosion effect. The research reveals the non-linear relationships between landscape characteristics and sediment yield at watershed scale

which can provide an important reference for the reasonable vegetation restoration in the Yellow River.

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references

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