Nitrogen budget and riverine nitrogen output in a rice paddy dominated agricultural watershed in eastern China

2010 ◽  
Vol 106 (3) ◽  
pp. 489-501 ◽  
Author(s):  
Xiaoyuan Yan ◽  
Zucong Cai ◽  
Rong Yang ◽  
Chaopu Ti ◽  
Yongqiu Xia ◽  
...  
2019 ◽  
Vol 251 ◽  
pp. 185-192 ◽  
Author(s):  
Qitao Xiao ◽  
Zhenghua Hu ◽  
Congsheng Fu ◽  
Hang Bian ◽  
Xuhui Lee ◽  
...  

2013 ◽  
Vol 52 (2) ◽  
pp. 450-466 ◽  
Author(s):  
Dingjiang Chen ◽  
Jun Lu ◽  
Hong Huang ◽  
Mei Liu ◽  
Dongqin Gong ◽  
...  

2019 ◽  
Vol 138 ◽  
pp. 262-273 ◽  
Author(s):  
Zichuan Li ◽  
Zhipeng Rui ◽  
Dengxiao Zhang ◽  
Xiao Feng ◽  
Haifei Lu ◽  
...  

2011 ◽  
Vol 159 (10) ◽  
pp. 2989-2995 ◽  
Author(s):  
Dingjiang Chen ◽  
Jun Lu ◽  
Yena Shen ◽  
Dongqin Gong ◽  
Ouping Deng

2007 ◽  
Vol 87 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Natsuki Yoshikawa ◽  
Sho Shiozawa ◽  
Ardiansyah

2013 ◽  
Vol 409-410 ◽  
pp. 208-213
Author(s):  
Mei Liu ◽  
Wen Qian Shi ◽  
Jun Lu

According to many uncertain problems of river eutrophication, a Bayesian hierarchical model was established to predict water quality. We applied the hierarchical method to assess river water quality in an agricultural watershed in eastern China. The procedure followed was developing a hierarchical model relating eutrophication response - the level of chlorophyll (Chla). Through Principal Component Analysis (PCA), five factors strong related with Chla were selected to establish Bayesian hierarchical model to predict the water quality. Results showed that Bayesian hierarchical model was very realistic. Furthermore, in Bayesian perspective, predictions expressed as probabilities, rather than a single value, involving more uncertainty information, can be essential to environmental management and decision-making.


2010 ◽  
Vol 56 (5) ◽  
pp. 760-772 ◽  
Author(s):  
Fumiaki TAKAKAI ◽  
Masato TAKEDA ◽  
Kazuhiro KON ◽  
Kazuhiro INOUE ◽  
Shinpei NAKAGAWA ◽  
...  

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