Volume 7, Issue 1, March 2019, Page: 10-14
Relationship Between Dewfall Time and Shadow Soil Moisture
Xiangang Wen, Longyan Xinluo Meteorological Service, Longyan, Fujian, China; China Meteorological Administration Meteorological Observation Center, Beijing, China
Yuhua Xie, Longyan Xinluo Meteorological Service, Longyan, Fujian, China
Chunbo Zhang, Beijing Meteorological Service, Bejing, China
Xiaohu Pu, Chongqing Meteorological Information and Technology Support Center, Chongqing, China
Shuqing Ma, China Meteorological Administration Meteorological Observation Center, Beijing, China
Jingyu Li, Longyan Xinluo Meteorological Service, Longyan, Fujian, China
Received: Feb. 11, 2019;       Accepted: Mar. 26, 2019;       Published: Apr. 18, 2019
DOI: 10.11648/j.hyd.20190701.12      View  153      Downloads  11
Abstract
The automated Weather Phenomenon Observation System can observe condensation and record the occurring time of weather phenomena by using image identification technology. The time of condensation occurring and the data of soil moisture in the shallow soil layer are analyzed, and the inverse relationship between dewfall time and shadow soil moisture is confirmed by using the data of the automatic present weather observation system and soil moisture observation equipment installed at Pinggu Station in Beijing from April to September in 2011. The condensation phenomenon appears earlier when the soil moisture of 0 to 10cm layer is higher. On the contrary, the condensation phenomenon appears later when the soil moisture of 1 to 10 cm layer is too low. It can be used to predict soil moisture by exploring the timing of dewfall via the automated Weather Phenomenon Observation System, which is useful to monitor drought.
Keywords
Dewfall Time, Shallow Layer, Soil Moisture
To cite this article
Xiangang Wen, Yuhua Xie, Chunbo Zhang, Xiaohu Pu, Shuqing Ma, Jingyu Li, Relationship Between Dewfall Time and Shadow Soil Moisture, Hydrology. Vol. 7, No. 1, 2019, pp. 10-14. doi: 10.11648/j.hyd.20190701.12
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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