scholarly journals Effect of water level changes in the middle reaches of the Yellow River in summer on CO2 emissions from wetlands dominated by Phragmites

2018 ◽  
Author(s):  
Haibo Lv ◽  
Hong Zhang
Wetlands ◽  
2020 ◽  
Vol 40 (6) ◽  
pp. 2765-2774
Author(s):  
Xiao Li ◽  
Xuehong Wang ◽  
Junbao Yu ◽  
Jisong Yang ◽  
Yang Yu ◽  
...  

Wetlands ◽  
2015 ◽  
Vol 36 (S1) ◽  
pp. 137-143 ◽  
Author(s):  
Qiongqiong Lu ◽  
Junhong Bai ◽  
Zhaoqin Gao ◽  
Junjing Wang ◽  
Qingqing Zhao

2015 ◽  
Vol 35 (2) ◽  
Author(s):  
邹荣婕 ZOU Rongjie ◽  
邓旭修 DENG Xuxiu ◽  
王斌 WANG Bin ◽  
徐英江 XU Yingjiang ◽  
宫向红 GONG Xianghong ◽  
...  

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 176
Author(s):  
Yu Deng ◽  
Chunjiang Li ◽  
Zhijun Li ◽  
Baosen Zhang

Regarding the ice periods of the Yellow River, it is difficult to obtain ice data information. To effectively grasp the ice evolution process in the ice periods of the typical reach of the Yellow River, a fixed-point air-coupled radar remote monitoring device is proposed in this paper. The device is mainly composed of an air-coupled radar ice thickness measurement sensor, radar water level measurement sensor, temperature measurement sensor, high-definition infrared night vision instrument, remote switch control, telemetry communication machine, solar and wind power supply, lightning protection, and slewing arm steel tower. The integrated monitoring device can monitor ice thickness, water level, air temperature, ice surface temperature, and other related parameters in real time. At present, devices have obtained the ice change process of fixed points in ice periods from 2020 to 2021. Through a comparison with manual data, the mean error of the monitoring results of the water level and ice thickness was approximately 1 cm. The device realizes the real-time monitoring of ice thickness and water level change in the whole cycle at the fixed position. Through video monitoring, it can take pictures and videos regularly and realize the connection between the visual river and monitoring data. The research results provide a new model and new technology for hydrological monitoring in the ice periods of the Yellow River, which has broad application prospects.


2022 ◽  
Vol 15 (1) ◽  
Author(s):  
Kai Yao ◽  
Yu Rong ◽  
Zhanyong Yao ◽  
Changyuan Shi ◽  
Chenjun Yang ◽  
...  

2012 ◽  
Vol 40 (10) ◽  
pp. 1118-1124 ◽  
Author(s):  
Peipei Liu ◽  
Junhong Bai ◽  
Qiuyi Ding ◽  
Hongbo Shao ◽  
Haifeng Gao ◽  
...  

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