@inproceedings{92efb7a10e5b4253befd4d0a09bd1714,
title = "Monitoring the changes of water storage over the Huang-huai-hai plain based on the GRACE satellite",
abstract = "This study calculated the land water storage using the time-varying monthly gravity data from the GRACE (Gravity Recovery and Climate Experience) gravity satellite combined with Gaussian smoothing filter. The characteristics of spatiotemporal variations of long-Term regional land water storage derived from the linear fitting method were then examined from January 2003 to December 2013. The results showed that the water storage over the huang-huai-hai plain showed an overall declining trend from 2003 to 2013 and the average declining rate is about 2.86 mm/a. The comparison between the GEACE calculation results with the soil moisture content products from the global land data assimilation system (GLDAS) showed that they are very highly consistent. The variations of regional mean soil moisture over the huang-huai-hai plain also exhibited a downward trend from 2003 to 2013 with an average declining rate about 0.74 mm/a. Based on water balance equation, we obtained the change of average groundwater storage and it showed a decreasing variability with a general declining trend with an average rate about 2.22 mm/a. In addition, the retrieved groundwater data was proven to be accurate compared to observations from groundwater wells measurement with high consistency and correlations. Further investigations focused on analyzing the impacts of precipitation factors on groundwater variations, implying that the human influences are the main reasons for the decline in groundwater.",
keywords = "GRACE, Gaussian filter, Groundwater, Huang-huai-hai plain, Soil moisture, Terrestrial water storage",
author = "Zenghui Kan and Chaoshun Liu and Fengxue Qiao and Wei Gao and Maosi Chen",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Remote Sensing and Modeling of Ecosystems for Sustainability XIII ; Conference date: 31-08-2016",
year = "2016",
doi = "10.1117/12.2237333",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wei Gao and Ni-Bin Chang",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XIII",
address = "美国",
}