文献类型: 外文期刊
作者: Su, Wei;Wu, Guozheng;Tang, Gula;Shi, Shihui
作者机构:
关键词: Ice-covered;open-water;hydrodynamic model;numerical stimulation;water quality model
期刊名称: FRESENIUS ENVIRONMENTAL BULLETIN
ISSN: 1018-4619
年卷期: 2021 年 30 卷 7 期
页码:
收录情况: JCR(2021版)
摘要: In this study, the Xinlicheng Reservoir, which is the most typical reservoir in the cold region of northern China was selected as the research object. A new stratified water quality model of the reservoir was constructed to simulate and analyze Water Temperature (WT) and Chemical Oxygen Demand (COD) concentration in both open-water and ice -covered periods. The parameters of the model were calibrated and verified. Results showed that the Mean Absolute Percentage Error (MAPE) value between the observed and simulated water level was 4.47%; the MAPEs between the observed and simulated water temperature at sampling site were 10.4%, 9.3% and 16.2%, respectively; and the MAPEs between the observed and simulated COD concentration were 5.49%, 5.44%, 7.43%, respectively. The COD decay rate was 0.001 per day in open-water period and 0.0008 per day in ice -covered period. For water temperature, the changes were directly related to air temperature, with three obvious phases detected. The simulation results reflected the hydrodynamic, water temperature, and COD transport processes of the Xinlicheng Reservoir accurately. The model could be applied to predict the fate and transport of contaminants in the Xinlicheng Reservoir and potentially other similar cold -region reservoirs and lakes of China.
分类号:
- 相关文献
作者其他论文 更多>>
-
Extreme surface solar ultraviolet radiation events reduce maize yields in China
作者:Guan, Haixiang;Zhu, Peng;Huang, Jianxi;Jin, Zhenong;Ma, Yuyang;Li, Xuecao;Zeng, Yelu;Su, Wei;Miao, Shuangxi;Wu, Wenbin;Wu, Bingfang
关键词:crop yields
-
Progress and Perspectives of Crop Yield Forecasting With Remote Sensing: A review
作者:Xiao, Guilong;Huang, Jianxi;Zhuo, Wen;Huang, Hai;Song, Jianjian;Du, Kaiqi;Wang, Jingwen;Yuan, Wenping;Sun, Liang;Zeng, Yelu;Su, Wei;Wu, Genghong;Li, Xuecao;Zheng, Juepeng;Miao, Shuangxi;Gobin, Anne;Zhu, Peng;Jin, Zhenong
关键词:Crop yield;Remote sensing;Forecasting;Predictive models;Monitoring;Accuracy;Temperature sensors;Vegetation mapping;Stress;Photosynthesis
-
Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse
作者:Li, Xiaoyin;Wang, Lixing;Dai, Min;Zhang, Yongji;Su, Wei;Wang, Mingyou;Miao, Hong
关键词:aphid monitoring and forecasting;multi-source information fusion;one-dimensional convolutional neural network (1D CNN);Long Short-Term Memory (LSTM);agriculture;greenhouse
-
In-Season Crop Type Detection by Combing Sentinel-1A and Sentinel-2 Imagery Based on the CNN Model
作者:Mao, Mingxiang;Zhao, Hongwei;Tang, Gula;Ren, Jianqiang
关键词:in-season detection;convolutional neural network;Sentinel-1A;Sentinel-2;crop type detection
-
Genetic And Phenotypic Effects Of C.hromosome Segments Introgressed From G ossypium Barbadense Into Gossypium Hirsutum
作者:Xiao, Xianghui;Yuan, Youlu;Chen, Tingting;Cai, Juan;Cai, Juan;Song, Weiwu;Su, Wei;Song, Weiwu;Zhang, Zhen;Wang, Mi;Shi, Yuzhen;Shang, Haihong;Li, Pengtao;Liu, Aiying;Li, Shaoqi;Ge, Qun;Gong, Juwu;Gong, Wankui;Lu, Quanwei;Li, Junwen
关键词:
-
Comparative Transcriptome Analysis Of Cotton F.iber Development Of Upland C otton (Gossypium Hirsutum) And Chromosome Segment Substitution Lines From G. Hirsutum X G. Barbadense
作者:Shang, Hai-hong;Gong, Wan-kui;Li, Peng-tao;Lu, Quan-wei;Liu, Ai-ying;Su, Wei;Wang, Mi;Gong, Ju-wu;Guo, Li-xue;Rashid, Md. Harun Or;Li, Jun-wen;Song, Wei-wu;Guo, Xiao-ping;Su, Wei;Yuan, You-lu;Shi, Yu-zhen;Ge, Qun;Li, Peng-tao;Li, Shao-qi
关键词:Gossypium hirsutum; G. hirsutum x G. barbadense; Chromosome Segment Substitution Lines; Transcriptome analysis; Fiber development
-
Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China
作者:Tang, Gula;Zhu, Yunqiang;Sun, Jiulin;Tang, Gula;Li, Zhao-Liang;Tang, Gula;Zhu, Yunqiang;Sun, Jiulin;Wu, Guozheng;Li, Jing;Li, Zhao-Liang
关键词:cold region;hydrodynamic;water quality;model;numerical simulation