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Data Details

Dataset of Arid Valley Boundary’s Displacement and Climate Variability in the Upper Reaches of Minjiang River（1999-2013）


YAN Weipo1,2WANG Qing1GUO Yalin*1HU Qi1YANG Min1ZHANG Yu1HAN Yunwei1
1 School of Environment and Resource，Southwest University of Science and Technology，Mianyang 621010，China2 Sichuan Academy of Environmental Policy and Planning，Chengdu 610066，China

DOI:10.3974/geodb.2023.11.04.V1

Published:Nov. 2023

Visitors：1471       Data Files Downloaded：32      
Data Downloaded：83.20 MB      Citations：

Key Words：

arid valley boundary,vertical displacement,spatial-temporal distribution,climate variability,Hengduan Mountains

Abstract：

The displacement of arid valley boundary indicates the mountain ecosystem's response to climate change. The arid valley boundary in the Upper Reaches of Minjiang River was developed based on SPOT images and field investigation. The trends of meteorological elements were conducted using the linear propensity estimation method, based on the data from five stations in the study area. Then, the meteorological elements' annual rate of change or linear tendency rate was spatially interpolated using the radial basis function. The spatial distribution data for the trends of the annual average temperature, annual precipitation, annual sunshine duration, annual average relative humidity, and annual evaporation was obtained. The dataset includes the following data in the upper reaches of the Minjiang River: 1) the arid valley boundary data in 1999 and 2013; 2) the climate variability data from 1999 to 2013; 3) the statistics on the arid valley boundary’s displacement and climate variability. The dataset is archived in .shp, .tif, and .xlsx data formats, and consists of 46 data files with data size of 6.34 MB (Compressed into one file with 2.59 MB). The analysis paper based on the dataset was published in ISPRS International Journal of Geo-Infromation, Vol. 6, No. 5, 2017.Browse

Foundation Item：

Ministry of Science and Technology of P. R. China (2015BAC05B05-01); National Natural Science Foundation of China (41601088，41071115); Natural Science Foundation of Southwest University of Science and Technology (18zx7117)

Data Citation：

YAN Weipo, WANG Qing, GUO Yalin*, HU Qi, YANG Min, ZHANG Yu, HAN Yunwei.Dataset of Arid Valley Boundary’s Displacement and Climate Variability in the Upper Reaches of Minjiang River（1999-2013）[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.11.04.V1.

GUO Yalin, YAN Weipo, WANG Qing, et al. Dataset development of arid valley boundary displacement and climate variability in the upper reaches of the Minjiang River [J]. Journal of Global Change Data & Discovery, 2023, 7(3): 281-289.

References：


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     [12] Sun, L., Cai, Y., Yang, W. et al. Climatic variations within the dry valleys in southwestern China and the influences of artificial reservoirs [J]. Climatic Change, 2019, 155: 111-125.
     [13] Wang, Q., Guo, Y. L. Boundary data of the upper reaches of Min River Basin, China [J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.05.01.V1.
     [14] Gao, Y. Y., Liu, Q., Wang, H. R., et al. Definition dry valleys scope by RS and GIS [J]. Journal of Beijing Normal University (Natural Science), 2012, 48(1): 92-96.
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     [17] Li, Z. X., He, Y. Q., Xin, H. J., et al. Spatio–temporal variations of temperature and precipitation in Mts. Hengduan Region during 1960–2008 [J]. Acta Geographica Sinica, 2010, 65(5): 563-579.
     [18] Wang, Q., Zhai, Z. The Lower Timberline Dataset in the Upper Reaches of Minjiang River, China (1999-2009) [J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.04.18.V1.
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Data Product:

ID Data Name Data Size Operation
0Datapaper_Boundary_Climate_UpperMinjiang.pdf578.00kbDownLoad
1 Boundary_Climate_UpperMinjiang.rar 2662.38KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum