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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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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:;
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Pengjie Zhang
Xiaofeng Yang
Tao Zhang
Dongming Han
Siyu Chen

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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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Fig.1  Overview of the study





MCD43A3地表反照率500 m16 d计算蒸散量
MOD09A1地表反射率500 m8 d计算蒸散量
MOD11A1地表温度和辐射率1 km1 d计算蒸散量
MCD12Q1土地覆盖类型1 km1 a计算地表径流量
MOD15A2叶面积指数1 km8 d计算蒸散量
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
合计85 564.63100.00
<023 473.1127.43
0—15031 299.9336.58
150—30018 468.8621.58
300—4507 610.998.90
>4504 711.745.51
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
减少显著41 382.0548.36
不显著38 471.9944.96
不显著5 652.646.61
合计85 564.63100.00
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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