Paper
23 February 2023 Spatio-temporal changes and driving factors analysis of water yield in Qingdao
Peipei Wang, Fan Yang, Bo Ai, Yan Wang
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125511Z (2023) https://doi.org/10.1117/12.2668190
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
Water yield is one of the important ecosystem services. It is vital to study the spatio-temporal distribution characteristics and driving mechanism of water yield for water resources protection, improving water resources planning and maintaining ecological security. In this study, we used the InVEST model to quantitatively evaluate the water yield of Qingdao in 2000, 2010 and 2020, and analyzed the spatio-temporal changes and driving factors of water yield. The result shows that the water yield of Qingdao has an upward trend from 2000 to 2020, with an average annual increase of 8.77%. The water yield is low in the north and high in the south. The main impact factors that result in difference spatial patterns of water yield between the north and south include the change of construction land, economic development, variation of precipitation and evapotranspiration. The results can provide a scientific reference for promoting the construction of ecological civilization in Qingdao and maintaining the coordinated development of the economy and ecology.
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Peipei Wang, Fan Yang, Bo Ai, and Yan Wang "Spatio-temporal changes and driving factors analysis of water yield in Qingdao", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125511Z (23 February 2023); https://doi.org/10.1117/12.2668190
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KEYWORDS
Water

Atmospheric modeling

Ecosystems

Climatology

Factor analysis

Coastal modeling

Data centers

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