Response of Vegetation Index to Climate Change and Their Relationship with Runoff-Sediment Change in Yellow River Basin

Guo Shuai; Pei Yanqian; Hu Sheng; Yang Dongdong; Qiu Haijun; Cao Mingming

doi:10.13961/j.cnki.stbctb.2020.03.001

您当前的位置：

首页 >

文章列表页 >

Response of Vegetation Index to Climate Change and Their Relationship with Runoff-Sediment Change in Yellow River Basin

- Response of Vegetation Index to Climate Change and Their Relationship with Runoff-Sediment Change in Yellow River Basin
- Bulletin of Soiland Water Conservation Vol. 40, Issue 3, Pages: 1-7(2020)
- 作者机构：
  
  1. 西北大学城市与环境学院,陕西,西安,710127
  2. 西北大学地表系统与灾害研究院,陕西,西安,710127
  3. 陕西省地表系统与环境承载力重点实验室,陕西,西安,710127
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2020.03.001
  CLC： Q948;P333
- Published：2020
- 稿件说明：
移动端阅览
Guo Shuai, Pei Yanqian, Hu Sheng, et al. Response of Vegetation Index to Climate Change and Their Relationship with Runoff-Sediment Change in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 1-7.
DOI：

Guo Shuai, Pei Yanqian, Hu Sheng, et al. Response of Vegetation Index to Climate Change and Their Relationship with Runoff-Sediment Change in Yellow River Basin[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 1-7. DOI： 10.13961/j.cnki.stbctb.2020.03.001.

摘要

[目地] 研究流域植被对气候变化的响应及其与水沙的关系，为黄河流域生态环境政策调整提供科学依据。[方法] 基于归一化植被指数（GIMMS NDVI）、气温、降水和径流量、输沙量数据，利用线性回归和相关分析方法分析了黄河流域NDVI时空变化和对气温与降水的响应，及其与径流量和输沙量关系。[结果] ①1982—2015年黄河流域及上、中游流域NDVI均呈显著线性增加趋势，中游流域增速最快，显著增加区域面积也最大。②1982—2015年黄河流域NDVI与年平均气温、年降水量呈显著正相关面积分别占22.39%和21.99%，集中分布在中北部区域。③2000—2015年黄河流域总体和上游流域年径流量均表现出增加趋势，上游和中游流域输沙量呈下降趋势。黄河流域水沙关系变化是多种因素共同作用的结果。[结论] 气候变化背景下黄河流域1982—2015年植被总体呈改善趋势，但具有明显空间差异特征，植被变化与河流径流和输沙变化关系尚待进一步研究。

Abstract

[Objective] The response of vegetation changes to climate change and their relationship with runoff and sediment was studied in order to provide the basis for the environment policy adjustment of the Yellow River basin.[Methods] The global inventory modelling and mapping studies normalized difference vegetation index (NDVI)

as well as temperature

precipitation

runoff

and sediment transport data

were used to study the spatial and temporal variation of NDVI in the Yellow River basin. The linear trend method and correlation analysis methods were utilized. The characteristics of the response of the spatial and temporal variation of NDVI in the Yellow River basin to temperature and precipitation

as well as the impact on runoff and sediment transport

were examined.[Results] ① From 1982 to 2015

the NDVI in the Yellow River basin and the upper and middle reaches of the river basin showed a significant linear increase trend. The middle reaches had the maximum growth rate and the maximum increase in area. ② The area of NDVI in the Yellow River basin was significantly positively correlated with annual average air temperature and annual precipitation

accounting for 22.39% and 21.99%

respectively

and concentrated in the central and northern regions. ③The annual runoff in the Yellow River basin and the upper reaches showed an increasing trend

and the sediment transport volume in the upper and middle reaches showed a decreasing trend

from 2000 to 2015. The relationship between water and sediment in the Yellow River basin was the result of a variety of factors.[Conclusion] Under the background of climate change

the vegetation in the Yellow River basin showed an improvement trend during 1982-2015

but it had evident spatial heterogeneity. The relationship between vegetation change and river runoff and sediment transport requires further study.

关键词

Keywords

references

Novillo C, Arrogante-Funes P, Romero-Calcerrada R. Recent NDVI trends in Mainland Spain: Land-cover and phytoclimatic-type implications [J]. ISPRS International Journal of Geo-Information, 2019,8(1):43.

何航,张勃,候启,等.1982—2015年中国北方生长季NDVI变化及其对气温极值的响应[J].干旱区研究,2020,37(1):244-253.

Ma Liqun, Xia Haoming, Meng Qingmin. Spatiotemporal variability of asymmetric daytime and night-time warming and its effects on vegetation in the Yellow River basin from 1982 to 2015 [J]. Sensors,2019,19(8):1832.

Wang Hongshuo, Liu Xiaoxuan, Zhang Xiaodong, et al. Spatiotemporal crop NDVI responses to climatic factors in mainland China [J]. International Journal of Remote Sensing, 2019,40(1):89-103.

胡春宏,张晓明.论黄河水沙变化趋势预测研究的若干问题[J].水利学报,2018,49(9):1028-1039.

赵阳,胡春宏,张晓明,等.近70年黄河流域水沙情势及其成因分析[J].农业工程学报,2018,34(21):112-119.

许文龙,赵广举,穆兴民,等.近60年黄河上游干流水沙变化及其关系[J].中国水土保持科学,2018,16(6):38-47.

穆兴民,胡春宏,高鹏,等.黄河输沙量研究的几个关键问题与思考[J].人民黄河,2017,39(8):1-4.

马柱国,符淙斌,周天军,等.黄河流域气候与水文变化的现状及思考[J].中国科学院院刊,2020,35(1):52-60.

Wang Shuai, Fu Bojie, Piao Shilong, et al. Reduced sediment transport in the Yellow River due to anthropogenic changes [J]. Nature Geoscience,2016,9(1):38-41.

习近平.在黄河流域生态保护和高质量发展座谈会上的讲话[J].奋斗,2019(20):4-10.

孙睿,刘昌明,朱启疆.黄河流域植被覆盖度动态变化与降水的关系[J].地理学报,2001,56(6):667-672.

杨胜天,刘昌明,孙睿.近20年来黄河流域植被覆盖变化分析[J].地理学报,2002,57(6):679-684.

郑子彦,吕美霞,马柱国.黄河源区气候水文和植被覆盖变化及面临问题的对策建议[J].中国科学院院刊,2020,35(1):61-72.

张艳芳,吴春玲,张宏运,等.黄河源区植被指数与干旱指数时空变化特征[J].山地学报,2017,35(2):142-150.

温小洁,姚顺波.黄河中上游植被覆盖与人类活动强度的时空动态演化[J].福建农林大学学报(自然科学版),2018,47(5):607-614.

李艳忠,刘昌明,刘小莽,等.植被恢复工程对黄河中游土地利用/覆被变化的影响[J].自然资源学报,2016,31(12):2005-2020.

Xie Jingkai, Xu Yueping, Wang Yitong, et al. Influences of climatic variability and human activities on terrestrial water storage variations across the Yellow River basin in the recent decade [J]. Journal of Hydrology,2019,579:124218.

韩鹏,李秀霞.黄河流域土壤侵蚀及植被水保效益研究[J].应用基础与工程科学学报,2008,16(2):181-190.

袁丽华,蒋卫国,申文明,等.2000—2010年黄河流域植被覆盖的时空变化[J].生态学报,2013,33(24):7798-7806.

刘启兴,董国涛,景海涛,等. 2000-2016年黄河源区植被NDVI变化趋势及影响因素[J]. 水土保持研究,2019,26(3):86-92.

贾培培,薛华柱,董国涛,等.黄河河潼区间NDVI变化及其对气候的响应[J].人民黄河,2019,41(4):31-36.

颜明,贺莉,王随继,等.基于NDVI的1982—2012年黄河流域多时间尺度植被覆盖变化[J].中国水土保持科学,2018,16(3):86-94.

贺振,贺俊平.近32年黄河流域植被覆盖时空演化遥感监测[J].农业机械学报,2017,48(2):179-185.

张亚玲,苏惠敏,张小勇.1998—2012年黄河流域植被覆盖变化时空分析[J].中国沙漠,2014,34(2):597-602.

安乐生,赵全升,周葆华,等.黄河三角洲NDVI时空演化特征及其驱动因素[J].海洋与湖沼,2017,48(1):1-7.

史丹丹,杨涛,胡金明,等.基于NDVI的黄河源区生长季植被时空变化及其与气候因子的关系[J].山地学报,2018,36(2):184-193.

Zhao Anzhou, Zhang Anbing, Liu Xianfeng, et al. Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau,China [J]. Theoretical and Applied Climatology, 2018,132(1):555-567. [29] 徐建华.现代地理学中的数学方法[M].3版.北京:高等教育出版社,2017:73-83. [30] 吴喜芳,李改欣,潘学鹏,等.黄河源区植被覆盖度对气温和降水的响应研究[J].资源科学,2015,37(3):512-521. [31] 王涛,李贝贝,裴春营.植被NDVI对城市扩展及气候变化的响应:以西安及其附近区域为例[J].干旱区地理,2017,40(2):388-396. [32] 赵跃中,穆兴民,严宝文,等.延河流域植被恢复对径流泥沙的影响[J].泥沙研究,2014(4):67-73. [33] 高照良,付艳玲,张建军,等.近50年黄河中游流域水沙过程及对退耕的响应[J].农业工程学报,2013,29(6):99-105. [34] 高海东,刘晗,贾莲莲,等.2000—2017年河龙区间输沙量锐减归因分析[J].地理学报,2019,74(9):1745-1757. [35] Shi Peng, Zhang Yan, Ren Zongping, et al. Land-use changes and check dams reducing runoff and sediment yield on the Loess Plateau of China [J]. Science of The Total Environment,2019,664:984-994. [36] Wang Hong, Sun Fubao, Xia Jun, et al. Impact of LUCC on streamflow based on the SWAT model over the Wei River basin on the Loess Plateau in China [J]. Hydrology and Earth System Sciences,2016,21(4):1929-1945.

Views

1424

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatiotemporal evolution of agro-ecological resilience and obstacle factors in main grain-producing areas of Yellow River basin

Impact of supporting policies on land-use efficiency for resource-based cities in Yellow River basin

Climate Changes over First Meander of Yellow River and Their Effects on Cutoff in Lower Reaches

Runoff Simulated by Neural Network Under Different Landuses on the Loess Area

Impact of Human Activities on Runoff and Sediment Change of Yanhe River Based on the Similar Precipitation Condition

Related Author

Xue Xuandeng

Han Xinru

Bai Weixu

Ding Yi

Zhu Yuting

Yan Siyu

YAO Yu bi

YIN Dong

Related Institution

Business School， Henan University of Science and Technology

College of Resources and Environment, Shanxi Agricultural University

Meteorological Bureau of Pingliang

Meteorological Bureau of Dingxi

⁰