RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (8): 1890-1900.doi: 10.11870/cjlyzyyhj202108011

Previous Articles     Next Articles

Analysis of Correlation between  Ecological Index Change and Climate Factors in Duhe River Basin Based on MODIS Data

MA Yong-ming 1,2 , ZHANG Li-hua 1, ZHAI Hong-yu 2, FU Ya-sheng 1, CUI Yue 1   

  1. (1. China University of Geosciences (Wuhan), Wuhan 430074, China; 2. Zhaotong University, Zhaotong 657000, China)
  • Online:2021-08-20 Published:2021-09-06

Abstract: The Duhe River Basin is an important water source in the middle line of the South-to-North Water Transfer Project. The ecological environmental status of the basin is the significant factors affecting the economic benefits and water quality of the project. Based on the MODIS image production (2001-2017), digital surface model (DSM) and meteorological data, this paper analyze the spatio-temporal distribution and influencing meteorological factors of gross primary production (GPP), normalized difference vegetation index (NDVI) and evapotranspiration(ET) in Duhe River Basin using the mean statistical method, the linear regression trend method and the correlation analysis method. The results show that: (1) The monthly average GPP, NDVI and ET in the Duhe River Basin is 1 868.667 gC/(m 2·month-1 ), 0.605, and 959.975 mm/month respectively. The spatial distribution of the mean annual average GPP, NDVI and ET present a similar result. The value of GPP, NDVI and ET in the basin’s north part is smaller than that in the basin’s south area. The lowest value is distributed in the Zhuxi River Basin, and the highest value is distributed in the high-altitude mountainous areas. (2) The annual average NDVI, ET, and GPP values develop in fluctuation and show an upward trend in general, which indicates that the ecological environment of the basin is improving and developing. The value of NDVI, ET, and GPP is the highest in summer, reaching the maximum in July, and the lowest in winter. (3) The monthly average GPP, NDVI and ET have strong positive correlation. The correlation coefficient between monthly average NDVI and monthly average ET has a same value with the correlation coefficient between monthly average NDVI and monthly average GPP(R2 = 0.65). The correlation coefficient between monthly average and monthly average ET is 0.70. (4) Compare with monthly average temperature, the monthly average GPP is more relevant with monthly average precipitation. The monthly average NDVI and ET have higher correlation coefficient with temperature than does precipitation. The variation tendencies of NDVI, ET and GPP in the basin are consistent with the temperature and precipitation. The response of NDVI, ET and GPP to the climatic factors is less than one month.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LI Jian-Bao, HUANG Xian-Jin, MENG Hao, ZHOU Yan, XU Guo-Liang, WU Chang-Yan. Analysis of Cumulative Target Completion Rate of Carbon Intensity in China During the Period of “Twelfth Five-Year”[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(08): 1655 .
[2] XIONG Hong-bin, ZHOU Ling-yan. Using PSR-grey Target Model to Assess Ecological and Environmental Impact of Flood Regulation Project At Riparian Zone Around Lake Chaohu[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 1977 -1987 .
[3] WANG Kai, WANG Yujie, WANG Bin, ZHANG Shouhong, WANG Yunqi, WANG Chenfeng. Study on Soil Detachment Rate on a YellowSoil Hillslope[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(09): 2114 -2121 .
[4] LI Jia-yi, KUANG Hong-hai, TAN Chao, WANG Pei-pei.  

Spatio-Temporal Characteristics and Ecological Response of Urban Expansion in the Yangtze River Economic Zone [J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(10): 2153 -2161 .

[5] TANG Zijun, CHEN Long, QIN Jun, ZHENG Xiang . Numerical Simulation of the Local Flow Field and the Boundary Layer Structure in the Pollution Process in Wuhan[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2540 -2547 .
[6] WANG Dongxiang, ZHANG Yiming, WANG Ruicheng, ZHAO Bingyan, ZHANG Zhiqi, HUANG Xianyu, . Characteristics of Dissolved Organic Matter in Pore Water from the Dajiuhu Peatland, Central China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2568 -2577 .
[7] WANG Hai-li, HAN Guang-zhong, XIE Xian-jian. Spatiotemporal Pattern Evolvement Based on the DEA Model and Its Driving Factors of Arable Land Utilization Efficiency of the Southwest Region in China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2784 -2795 .
[8] WANG Cong-cong, WANG Yi-cheng, MA Ren-feng, WANG Jing-min. Impact of Economic Agglomeration on Pollution of Smog Based on Spatial Econometric Model:The Case Study of Yangtze River Delta[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 1 -11 .
[9] ZHAO Shu-cheng, ZHANG Zhan-yu, XIA Ji-hong, YANG Jie, SHENG Li-ting, TANG Dan, CHEN Xiao-an, . Phosphorus Adsorption Characteristics of Riparian Soils Surrounding Poyang Lake[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 166 -174 .
[10] RUAN Tian, ZHA Qian-yu, YANG Ru, GAO Chao. Effects on Runoff Above the Cuntan Station Area in the Yangtze River Basin Under the 1.5℃ and 2.0℃ Global Warming[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 407 -415 .