Reserach on Spatiotemporal Dynamics of Water Conservation in the Qinba Mountains from 2000 to 2020

doi:10.11873/j.issn.1004-0323.2022.6.1513

Remote Sensing Technology and Application

2022, Vol. 37

Issue (6): 1513-1524 DOI: 10.11873/j.issn.1004-0323.2022.6.1513

Reserach on Spatiotemporal Dynamics of Water Conservation in the Qinba Mountains from 2000 to 2020

Pengjie Zhang(

),Xiaofeng Yang,Tao Zhang,Dongming Han,Siyu Chen(

)

The First Institute of Photogrammetry and Remote Sensing，MNR Xi’an 710054，China

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Abstract

Based on the principle of water balance， the spatiotemporal changes and the influencing factors of the water conservation capacity in the Shannxi Qinba Mountains were quantified by using MODIS， climate data， the DEM and soil texture data， etc. during the period of 2000—2020. The results showed that ① the water conservation capacity， which ranged from -142.84—419.41 mm， was higher in south and lower in north. The water conservation capacity of each city followed an order of Hanzhong>Ankang>Baoji>Xi’an>Shangluo>Weinan. ② The water conservation capacity decreased at a rate about 13.07 mm/a in recent 21 years. The regions that significant weakened accounted for about 48.36 percent. ③ The changes of the water conservation capacity was mainly closely related to its direct influencing factors， the precipitation and the evapotranspiration and finally the temperature among its indirect influencing factors.

Key words: The Qinba Mountains Principle of the water balance Water conservation capacity Spatiotemporal variation

Received: 25 July 2021 Published: 15 February 2023

ZTFLH:

TP79

Corresponding Authors: Siyu Chen E-mail: 827006904@qq.com;15095320573@163.com

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Pengjie Zhang,Xiaofeng Yang,Tao Zhang,Dongming Han,Siyu Chen. Reserach on Spatiotemporal Dynamics of Water Conservation in the Qinba Mountains from 2000 to 2020. Remote Sensing Technology and Application, 2022, 37(6): 1513-1524.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2022.6.1513 OR http://www.rsta.ac.cn/EN/Y2022/V37/I6/1513

Fig.1 Overview of the study

Table 1 Introduction of MODIS datas

Fig.2 Calculation process of daily evapotranspiration（ET） based on the SEBS model

Table 2 Precision test result of Precipitation Interpolation

Fig.3 Spatiotemporal relationshps between ET from meteorological stations and SEBS

Fig.4 Spatial distribution of water conservation in the Qinba Mountains

Table 3 Statistical results of water conservation in the Qinba Mountains

Table 4 Annual water conservation of cities and counties in the Qinba Mountains

Fig.5 Statiscal result of water conservation capatity in the Qinba Mountains during the period of 2000—2020

Table 5 Statistical results of water conservation changes in the Qinba Mountains during the period of 2000—2020

Table 6 Correlation conefficients betweem water conservation capacity and its influencing factors

Table 7 Partial correlation conefficients betweem water conservation capacity and its influencing factors

Fig.7 Trends of Annual precipition、ET、NDVI、temperature and wind of the Qinba Mountains during the period of 2000—2020

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