是不是无法只以姓（不考虑名）和年进行排序？

[earthmoon]

您好，
文末参考文献是不是无法只以第一作者的姓和年份进行排序？
谢谢！

[hushidong]

你说的是 whutug/whu-thesis#230 的问题吧？

你正常使用就行啦，我没发现什么特殊的情况啊，你的bib里面extradate做了设置的，把它去掉，默认使用就好了。

[hushidong]

你再仔细看一下，除此之外，还有什么其他需求。

没有的话就不用改了，若有的话再提出来。

[earthmoon]

您好！
是的，现在就是文内引用作者年后的字母顺序还是按照姓名+年+字母排序，有办法可改为姓+年+字母么。我看了下文档，好像排序时，姓名是作为整体的。
谢谢！

[hushidong]

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
%maxbibnames=1,minbibnames=1,
%sorting=none,
%nohashothers=false,nosortothers=true
]{biblatex}

%\DeclareSortingTemplate{gb7714-2015}{
%      \sort{
%        \field{presort}
%      }
%      \sort{
%    	\field{lansortorder}%language
%    	}
%      \sort{
%        \field{sortkey}
%      }
%      \sort{%[direction=descending]
%        \field{sortname}
%      }
%      \sort{
%        \field{sortyear}
%        \field{year}
%      }
%      \sort{
%        \field{sorttitle}
%        \field{title}
%      }
%      \sort{
%        \field{volume}
%        \literal{0}
%      }
%    }


\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}

\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\cite{wu2018t}

比如输入引用第一篇\citep{wu2018d}，

引用第二篇\citep{wu2018c}

\printbibliography

 \end{document} 

结果为：

[hushidong]

如果有什么特别的需求，最好发到这里来，你发到模板那边不一定有机会看到。

[earthmoon]

您好，
谢谢您的回复。
有没有办法让

(Wu et al., 2018a)
比如输入引用第一篇(Wu et al.,2018c)
引用第二篇(Wu et al., 2018b)

变为

(Wu et al., 2018a)
比如输入引用第一篇(Wu et al.,2018b)
引用第二篇(Wu et al., 2018c)

但是参考文献按照第一作者的姓+年+字母排序。目前是以姓名+年+字母排序。
谢谢！

[hushidong]

可以的，但这种情况year后的extrayear也就是a,b，c就不对应了。

比如：

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
%maxbibnames=1,minbibnames=1,
sorting=none,
%nohashothers=false,nosortothers=true
]{biblatex}

%\DeclareSortingTemplate{gb7714-2015}{
%      \sort{
%        \field{presort}
%      }
%      \sort{
%    	\field{lansortorder}%language
%    	}
%      \sort{
%        \field{sortkey}
%      }
%      \sort{%[direction=descending]
%        \field{sortname}
%      }
%      \sort{
%        \field{sortyear}
%        \field{year}
%      }
%      \sort{
%        \field{sorttitle}
%        \field{title}
%      }
%      \sort{
%        \field{volume}
%        \literal{0}
%      }
%    }


\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}

\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\cite{wu2018t}

比如输入引用第一篇\citep{wu2018d}，

引用第二篇\citep{wu2018c}

\newrefcontext[sorting=gb7714-2015]{sortchange}
\printbibliography

 \end{document} 

结果为：

[earthmoon]

您好，
新版本的gb7714-2015的问题吗？有可能，因为我昨天全部更新的。
谢谢！

[hushidong]

清掉辅助文件后，biber 编译后只编译一遍xelatex就是给出我之前的图。若再编译一遍就会变成你给出的图。

[earthmoon]

您好，
应该是的，因为我用的vscode，默认的就是xelatex-biber-xelatex-xelatex，所以我看不到中间状态。
谢谢！

[hushidong]

因为extradate 生成了2次，若再编译一次就会用后面这一次的extradate覆盖的。

[earthmoon]

原来如此~

[zepinglee]

说实话这需求没什么道理。像国外的 APA 或者 Chicago 都不会这么处理。

[earthmoon]

您好，
就拿您最后的例子来说，

Wu et al. 2018c 出现在 Wu et al. 2018b 之前，这种情况在期刊中比较少见。若保证文内顺序正确，那么文末通过姓+年+字母来排序，这样可使得文末文献查找得更有效。因为文内引用处都没有出现名，文末通过名排序就显得没有意义。
谢谢！

[hushidong]

这种情况默认也是正常的。

比如：

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
%maxbibnames=1,minbibnames=1,
%sorting=none,
%nohashothers=false,nosortothers=true
]{biblatex}

\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}

\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

%\cite{wu2018t}
%
%比如输入引用第一篇\citep{wu2018d}，
%
%引用第二篇\citep{wu2018c}

\cite{wu2018t,wu2018d,wu2018c}

%\newrefcontext[sorting=gb7714-2015]{sortchange}
\printbibliography

 \end{document} 

结果为：

[hushidong]

如果不是同一处引用，b 在a前其实也没关系的。

[earthmoon]

您好，
我也觉得若是无法通过姓（不通过名）+年+字母排序，那么文内b在a前仿佛是当下最好的方案了。在武大的模板中，之前的另一个方案

\DefineBibliographyStrings{english}{
        andincite         = {\&},
        andincitecn       = {和},
}

有一点问题。就是很多文献仍旧还是出现逗号而不是以 & 和 和 出现。不知道这是模板问题还是宏包问题。
谢谢！

[earthmoon]

您好，
比如我在武大模板的2783行修改为

\__whu_gadd_ltxhook:nn { env/document/begin }
  {
    \tl_if_eq:NnT \l__whu_bib_backend_tl { biblatex }
      {
        \__whu_biblatex_pre_setup:
        \RequirePackage[%uniquelist=false,
        %doi = true
        ]{ biblatex }
        \DefineBibliographyStrings{english}{
          andincite         = {\&},
          andincitecn       = {和},
  }
         \__whu_biblatex_post_setup:
       }
   }

理论上可以用 & 和 和 来替换逗号了。
将这几篇参考文献引用

@article{chen2012,
  title = {Occurrence and Distribution of Selected Pharmaceuticals and Personal Care Products in Aquatic Environments: A Comparative Study of Regions in {{China}} with Different Urbanization Levels},
  shorttitle = {Occurrence and Distribution of Selected Pharmaceuticals and Personal Care Products in Aquatic Environments},
  author = {Chen, Hong and Li, Xiaojuan and Zhu, Saichang},
  date = {2012-07},
  journaltitle = {Environmental Science and Pollution Research},
  shortjournal = {Environ Sci Pollut Res},
  volume = {19},
  number = {6},
  pages = {2381--2389},
  issn = {0944-1344, 1614-7499},
  doi = {10.1007/s11356-012-0750-2},
  langid = {english}
}

@article{chen2012a,
  title = {Climatic Warming and Overgrazing Induced the High Concentration of Organic Matter in {{Lake Hulun}}, a Large Shallow Eutrophic Steppe Lake in Northern {{China}}},
  author = {Chen, Xiaofeng and Chuai, Xiaoming and Yang, Liuyan and Zhao, Huiying},
  date = {2012-08-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {431},
  pages = {332--338},
  issn = {0048-9697},
  doi = {10.1016/j.scitotenv.2012.05.052},
  abstract = {An abnormally high concentration of organic matter (OM) in Lake Hulun, a large shallow eutrophic lake located in the sparsely populated Hulun Buir Steppe, was observed in a field investigation. Little was known about the origin of the OM. To identify the source of the OM in Lake Hulun, the carbon/nitrogen (C/N) ratio, natural abundance of stable isotope and three dimensional excitation emission matrix (3DEEM) fluorescence spectroscopy techniques were employed. Furthermore, a cyanobacterial incubation and degradation experiment was conducted in the laboratory to quantify the contribution of algae to dissolved organic matter (DOM) in Lake Hulun. C/N, the stable carbon isotope (δ13C) values typical of C3 plant debris in particulate organic matter (POM) and the fluorescence indices of DOM indicate that most of the OM in Lake Hulun is of terrigenous origin. It was deduced that only about 10.2\% and 7.3\% of DOM were contributed by algae in September and January, respectively, according to the linear correlation between the concentrations of algae-derived DOM and the fluorescence intensities of tyrosine-like matter. According to the stockbreeding development and climate change in Hunlun Buir Steppe, we deduced that the destruction of the grassland ecosystem by overgrazing in specific locations and trends in climatic warming and drying were the main factors causing the increase of OM and nutrient concentrations in Lake Hulun. This result highlights the need to pay more attention to the inputs of terrigenous organic matter to the lakes in northern China.},
  keywords = {Climate change,Lake Hulun,Organic matter,Overgrazing,Source identification},
  file = {D:\Zotero\storage\C2DU2IXI\S0048969712007346.html}
}

@article{chen2012b,
  title = {Integrated Management of Nutrients from the Watershed to Coast in the Subtropical Region},
  author = {Chen, Nengwang and Hong, Huasheng},
  date = {2012-05-01},
  journaltitle = {Current Opinion in Environmental Sustainability},
  shortjournal = {Current Opinion in Environmental Sustainability},
  series = {Carbon and Nitrogen Cycles},
  volume = {4},
  number = {2},
  pages = {233--242},
  issn = {1877-3435},
  doi = {10.1016/j.cosust.2012.03.007},
  abstract = {This paper is a brief review on nutrient variation (changes in element concentrations and ratios) and the associated aquatic ecosystem responses in the subtropical region. Human activities have significantly modified both the flux and the ratio of nutrients delivered to aquatic ecosystems. Climate perturbations influence the hydrological regime and enhance nutrient mineralization and transport from land to receiving waters. Changes in land use and damming have resulted in changes in the balance among nitrogen, phosphorus and silicon elements, thus increasing the risk of algal bloom. Nutrient variation and its ecological effects in the subtropical region could be more significant than in other areas because of rapid development and high population. Aquatic ecosystems respond to nutrient variation in complex and dynamic ways resulting in eutrophication, hypoxia/anoxia, acidification, and changes in phytoplankton and microbial communities. This review suggests that harmful algal bloom, jellyfish bloom, and serious pathogens are often associated with nutrient variations. The current challenges to scientific research and management include the facts that (1) the link between nutrient dynamics and ecosystem responses is poorly understood; (2) monitoring data to support modeling and management are scarce; (3) aquatic ecosystems are site-specific and/or situation-specific and are highly dynamic, giving greater complexity in research and management; and (4) the lack of regional coordination in traditional management causes transboundary gaps. To address these current challenges, an integrated management framework was proposed for effective nutrient management. Institutional arrangements should be developed to coordinate across multiple government agencies and other stakeholders from watershed to coast. The framework should integrate an interdisciplinary scientific approach and adaptive principles regarding nutrient management.},
  file = {D\:\\Zotero\\storage\\839A456P\\Chen and Hong - 2012 - Integrated management of nutrients from the waters.pdf;D\:\\Zotero\\storage\\4YUNDDDK\\S1877343512000395.html}
}

@article{chen2013,
  title = {Environmental Changes in {{Chaohu Lake}} (Southeast, {{China}}) since the Mid 20th Century: {{The}} Interactive Impacts of Nutrients, Hydrology and Climate},
  shorttitle = {Environmental Changes in {{Chaohu Lake}} (Southeast, {{China}}) since the Mid 20th Century},
  author = {Chen, Xu and Yang, Xiangdong and Dong, Xuhui and Liu, Enfeng},
  date = {2013-01},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {43},
  number = {1},
  pages = {10--17},
  issn = {00759511},
  doi = {10.1016/j.limno.2012.03.002},
  langid = {english}
}

@article{chen2016b,
  title = {Groundwater {{Nitrate Contamination}} and {{Associated Health Risk}} for the {{Rural Communities}} in an {{Agricultural Area}} of {{Ningxia}}, {{Northwest China}}},
  author = {Chen, Jie and Wu, Hao and Qian, Hui},
  date = {2016-09-01},
  journaltitle = {Exposure and Health},
  shortjournal = {Expo Health},
  volume = {8},
  number = {3},
  pages = {349--359},
  issn = {2451-9685},
  doi = {10.1007/s12403-016-0208-8},
  abstract = {The present study was carried out to evaluate the nitrate contamination in the shallow groundwater and to ascertain the associated health impact on the rural communities in the agricultural area of northwest China. A total of 86 groundwater samples were collected from private wells in rural areas where the groundwater is the main source of drinking water. Statistical analysis indicates that the concentrations of NO3–N in groundwater range from 0.49 to 62.20~mg/L with a mean of 12.15~±~12.92~mg/L. 40.7~\% of groundwater samples are unfit for drinking purpose because of high nitrate concentrations that have exceeded the permissible limits recommended by the WHO and Chinese drinking water standards. Elevated NO3–N levels found in the study area may be attributed to the increased fertilizer rate, intensive irrigation, shallow groundwater depth, high permeability of soil, poor sanitation facilities, and bare infrastructures. Furthermore, non-carcinogenic risk of nitrate incurred by drinking contaminated groundwater in the area was estimated by using the USEPA human health risk assessment method. Only eight and four samples with high nitrate concentrations belong to the domains of the hazard index~{$>$}1 for infants and adults, respectively, indicating the higher health risk in these sampling sites. This study will be useful to develop effective strategies for improving rural drinking water supply and provide scientific evidence for decision and management of the groundwater.},
  langid = {english},
  keywords = {Drinking water,Groundwater,Health risks,Nitrate,Northwest China,Rural area},
  file = {D:\Zotero\storage\LUZSJP8R\Chen et al. - 2016 - Groundwater Nitrate Contamination and Associated H.pdf}
}

@article{chen2017,
  title = {Spatio-Temporal Distribution and Sources of {{Pb}} Identified by Stable Isotopic Ratios in Sediments from the {{Yangtze River Estuary}} and Adjacent Areas},
  author = {Chen, Bin and Liu, Jian and Hu, Limin and Liu, Ming and Wang, Liang and Zhang, Xilin and Fan, Dejiang},
  date = {2017-02},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {580},
  pages = {936--945},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2016.12.042},
  langid = {english}
}

@article{chen2017a,
  title = {Mangroves as a Major Source of Soil Carbon Storage in Adjacent Seagrass Meadows},
  author = {Chen, Guangcheng and Azkab, Muhammad Husni and Chmura, Gail L. and Chen, Shunyang and Sastrosuwondo, Pramudji and Ma, Zhiyuan and Dharmawan, I. Wayan Eka and Yin, Xijie and Chen, Bin},
  date = {2017-02-10},
  journaltitle = {Scientific Reports},
  shortjournal = {Sci Rep},
  volume = {7},
  number = {1},
  pages = {42406},
  publisher = {Nature Publishing Group},
  issn = {2045-2322},
  doi = {10.1038/srep42406},
  abstract = {Mangrove forests have the potential to export carbon to adjacent ecosystems but whether mangrove-derived organic carbon (OC) would enhance the soil OC storage in seagrass meadows adjacent to mangroves is unclear. In this study we examine the potential for the contribution of mangrove OC to seagrass soils on the coast of North Sulawesi, Indonesia. We found that seagrass meadows adjacent to mangroves had significantly higher soil OC concentrations, soil OC with lower δ 13C, and lower bulk density than those at the non-mangrove adjacent meadows. Soil OC storage to 30\,cm depth ranged from 3.21 to 6.82\,kg\,C m−2, and was also significantly higher at the mangrove adjacent meadows than those non-adjacent meadows. δ13C analyses revealed that mangrove OC contributed 34 to 83\% to soil OC at the mangrove adjacent meadows. The δ13C value of seagrass plants was also different between the seagrasses adjacent to mangroves and those which were not, with lower values measured at the seagrasses adjacent to mangroves. Moreover, we found significant spatial variation in both soil OC concentration and storage, with values decreasing toward sea, and the contribution of mangrove-derived carbon also reduced with distance from the forest.},
  langid = {english},
  keywords = {Carbon cycle,Ecosystem services,Tropical ecology},
  file = {D:\Zotero\storage\K992HR4T\Chen et al. - 2017 - Mangroves as a major source of soil carbon storage.pdf}
}

@article{chen2017c,
  title = {Assessing {{Nitrate}} and {{Fluoride Contaminants}} in {{Drinking Water}} and {{Their Health Risk}} of {{Rural Residents Living}} in a {{Semiarid Region}} of {{Northwest China}}},
  author = {Chen, Jie and Wu, Hao and Qian, Hui and Gao, Yanyan},
  date = {2017-09-01},
  journaltitle = {Exposure and Health},
  shortjournal = {Expo Health},
  volume = {9},
  number = {3},
  pages = {183--195},
  issn = {2451-9685},
  doi = {10.1007/s12403-016-0231-9},
  abstract = {High levels of nitrate and fluoride in drinking water can affect human health. In the present study, statistical and correlation analyses were carried out to assess nitrate and fluoride contamination in groundwater in Zhongning area, Northwest China, where rural residents totally depend on groundwater for drinking. The associated health risks for different age groups (infants, children, adult female, and male) were assessed based on the USEPA model. Results show that NO3–N and F− concentrations in groundwater are in the ranges of 2.66–103 and 0.11–6.33~mg/L, respectively. Of the 50 samples, 30 and four samples have high NO3–N and F− levels exceeding the acceptable limits for drinking purpose recommended by the WHO (10 and 1.5~mg/L), respectively. Enrichment of nitrate contamination is primarily due to the human activities, and dissolution of fluorite is the primary source of fluoride in the groundwater. Correlation values of NO3–N and F− with other chemicals have further confirmed the sources of contaminant in groundwater. Infants are the most vulnerable groups through ingestion pathway. As per the obtained hazard index, majority of the samples (72 and 60~\%) may pose adverse effects on infants and children, but the proportions are relatively lower for adult female and male (28 and 22~\%). These finding suggest that there is an instant need to take ameliorative steps in this region to prevent the residents from nitrate and fluoride exposure through ingestion.},
  langid = {english},
  keywords = {Drinking water safety,Fluoride,Groundwater,Health risk,Nitrate,Rural resident},
  file = {D:\Zotero\storage\3GRIS593\Chen et al. - 2017 - Assessing Nitrate and Fluoride Contaminants in Dri.pdf}
}

在文内使用

\citep{chen2012, chen2012a, chen2012b, chen2013, chen2016b, chen2017, chen2017a, chen2017c}

生成的pdf显示为

这个 & 和 和 出现的频率比较低，而且也不知道出现的规律是什么，但是逗号在大部分情况下还是没有被替换。
谢谢！

[hushidong]

您好， 就拿您最后的例子来说， Wu et al. 2018c 出现在 Wu et al. 2018b 之前，这种情况在期刊中比较少见。若保证文内顺序正确，那么文末通过姓+年+字母来排序，这样可使得文末文献查找得更有效。因为文内引用处都没有出现名，文末通过名排序就显得没有意义。 谢谢！

你没发现引用中的abc和文末的abc对不上，不是更会让人混淆么？

[earthmoon]

您好，
我仔细看了下，确实没对上。没对上肯定不行。那这个方法不能用。
谢谢！

[hushidong]

讨论了半天才明白你的意思。

你希望的是：第一作者姓相同的文献，在正文中的引用标签中的extradate是按引用顺序写的，然后文献表中这几篇文献的顺序与其对应，而其他文献排序则按默认的方式正常排。

所以，下面这个例子是符合你的需求的：

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
]{biblatex}

\DeclareSortingTemplate{gb7714-2015}{
      \sort{
        \field{presort}
      }
      \sort{
    	\field{lansortorder}%language
    	}
      \sort{
        \field{sortkey}
      }
      \sort{%[direction=descending]
        \field{sortname}
      }
      \sort{
        \field{sortyear}
        \field{year}
      }
    }


\DeclareSortingNamekeyTemplate{
    \visibility{cite}
    \keypart{
    \namepart[use=true]{prefix}
    \namepart{family}
    }
}



\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}

\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\cite{wu2018t}

\citep{wu2018d}

\citep{wu2018c}

\printbibliography

 \end{document} 

结果为：

[earthmoon]

您好，
在您现在这个例子再加上一篇文献，

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
]{biblatex}

\DeclareSortingTemplate{gb7714-2015}{
      \sort{
        \field{presort}
      }
      \sort{
    	\field{lansortorder}%language
    	}
      \sort{
        \field{sortkey}
      }
      \sort{%[direction=descending]
        \field{sortname}
      }
      \sort{
        \field{sortyear}
        \field{year}
      }
    }


\DeclareSortingNamekeyTemplate{
    \visibility{cite}
    \keypart{
    \namepart[use=true]{prefix}
    \namepart{family}
    }
}



\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}
@article{yue2013,
  title = {Using Dual Isotopes to Evaluate Sources and Transformation of Nitrogen in the {{Liao River}}, Northeast {{China}}},
  author = {Yue, Fu-Jun and Li, Si-Liang and Liu, Cong-Qiang and Zhao, Zhi-Qi and Hu, Jian},
  date = {2013-09-01},
  journaltitle = {Applied Geochemistry},
  shortjournal = {Applied Geochemistry},
  volume = {36},
  pages = {1--9},
  issn = {0883-2927},
  doi = {10.1016/j.apgeochem.2013.06.009},
  abstract = {The Liao River Basin is one of seven primary river Basins in China. The concentration of dissolved inorganic N (DIN), dual isotopes of NO3- using the denitrifier method, the N isotopes of NH4+ and the N flux in the basin were determined to identify the sources of N and their transformation. The results show that NO3- ranges from 0.3μmol/L to 1316μmol/L. In general, NO3- is the dominant inorganic N species during both flow seasons, but the fraction of NO3-/DIN is variable and high NH4+ is present in some waters. Samples collected from the up-stream portion of the Liao River typically had N isotope values of {$<$}+8‰, while those from the middle and lower portions had values of {$>$}+8‰ during the high flow season. Most water samples had O isotope values of {$<$}+10‰ during the high flow season. During the low flow season, the ranges of N and O isotopic values were limited, with average values of +10.3‰ and +4.9‰, respectively. There is a wider isotopic range of NO3- during the high flow season than the low flow season. The isotopic pattern of NO3- suggests that wastewater and soil organic N are the sources of NO4+ during the high flow season, while wastewater is the main source during low flow season. It appears that no intense denitrification occurs in the river according to the isotopic and chemical data. The N flux of the Liao River system entering the Liao Dong Bay annually is nearly 7.0×104tons, which amounts to 5.0\% of the N from chemical fertilizers used in this basin.},
}


\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\cite{wu2018t}

\citep{wu2018d}

\citep{wu2018c}

\citep{yue2013}

\printbibliography

 \end{document} 

这时候，输出为：

文内字母是正确的，但是文末的排序单纯以年进行排序了，并没有采用姓进行排序。是不是姓+年+字母的排序方式更为合适？
谢谢！

[hushidong]

至于and的问题，and 是两个作者之间的连接。我不明白你说的意思。

你给个例子或者图片说明一下具体的情况。

[earthmoon]

您好，
这个例子可以吗？
#201 (reply in thread)
谢谢！

[hushidong]

and 的问题是你设置的问题，你设置mincitenames=2了，所以才会那样的。

只有两个作者中间的才有and的问题，多个作者通常不截断成两个作者，而是一个。

所以，你的两个需求都可以用下面这个例子来解决：

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
maxcitenames=2,mincitenames=1
]{biblatex}

\DefineBibliographyStrings{english}{
        andincite         = { \& },
        andincitecn       = {和},
}

\DeclareSortingTemplate{gb7714-2015}{
      \sort{
        \field{presort}
      }
      \sort{
    	\field{lansortorder}%language
    	}
      \sort{
        \field{sortkey}
      }
      \sort{%[direction=descending]
        \field{sortname}
        \field{author}
      }
      \sort{
        \field{sortyear}
        \field{year}
      }
    }


\DeclareSortingNamekeyTemplate{
    \visibility{cite}
    \keypart{
    \namepart{family}
    }
}



\begin{filecontents}[force]{\jobname.bib}
@article{wu2018t,
  title = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}: {{The}} Largest Freshwater Lake in {{China}}},
  shorttitle = {Temporal and Spatial Variability of Phytoplankton in {{Lake Poyang}}},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia and Xu, Cai Ping and Chen, Yuwei and Zhang, Lu},
  date = {2018-09},
  journaltitle = {Journal of Great Lakes Research},
  shortjournal = {Journal of Great Lakes Research},
  volume = {39},
  number = {3},
  pages = {476--483},
  issn = {03801330},
  doi = {10.1016/j.jglr.2013.06.008},
  urldate = {2023-07-19},
}

@article{wu2018c,
  title = {Spatial and Temporal Heterogeneities in Water Quality and Their Potential Drivers in {{Lake Poyang}} ({{China}}) from 2009 to 2015},
  author = {Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu and Chen, Yuwei},
  date = {2018-03},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {69},
  pages = {115--124},
  issn = {00759511},
  doi = {10.1016/j.limno.2017.12.001},
  urldate = {2023-07-19},
  langid = {english},
}

@article{wu2018d,
  title = {Assessing River Water Quality Using Water Quality Index in {{Lake Taihu Basin}}, {{China}}},
  author = {Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei and Cai, Yongjiu and Deng, Jiancai},
  date = {2018-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {612},
  pages = {914--922},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2017.08.293},
  urldate = {2023-07-19},
  langid = {english},
}


@article{chen2012,
  title = {Occurrence and Distribution of Selected Pharmaceuticals and Personal Care Products in Aquatic Environments: A Comparative Study of Regions in {{China}} with Different Urbanization Levels},
  shorttitle = {Occurrence and Distribution of Selected Pharmaceuticals and Personal Care Products in Aquatic Environments},
  author = {Chen, Hong and Li, Xiaojuan and Zhu, Saichang},
  date = {2012-07},
  journaltitle = {Environmental Science and Pollution Research},
  shortjournal = {Environ Sci Pollut Res},
  volume = {19},
  number = {6},
  pages = {2381--2389},
  issn = {0944-1344, 1614-7499},
  doi = {10.1007/s11356-012-0750-2},
  langid = {english}
}

@article{chen2012a,
  title = {Climatic Warming and Overgrazing Induced the High Concentration of Organic Matter in {{Lake Hulun}}, a Large Shallow Eutrophic Steppe Lake in Northern {{China}}},
  author = {Chen, Xiaofeng and Chuai, Xiaoming and Yang, Liuyan and Zhao, Huiying},
  date = {2012-08-01},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {431},
  pages = {332--338},
  issn = {0048-9697},
  doi = {10.1016/j.scitotenv.2012.05.052},
  abstract = {An abnormally high concentration of organic matter (OM) in Lake Hulun, a large shallow eutrophic lake located in the sparsely populated Hulun Buir Steppe, was observed in a field investigation. Little was known about the origin of the OM. To identify the source of the OM in Lake Hulun, the carbon/nitrogen (C/N) ratio, natural abundance of stable isotope and three dimensional excitation emission matrix (3DEEM) fluorescence spectroscopy techniques were employed. Furthermore, a cyanobacterial incubation and degradation experiment was conducted in the laboratory to quantify the contribution of algae to dissolved organic matter (DOM) in Lake Hulun. C/N, the stable carbon isotope (δ13C) values typical of C3 plant debris in particulate organic matter (POM) and the fluorescence indices of DOM indicate that most of the OM in Lake Hulun is of terrigenous origin. It was deduced that only about 10.2\% and 7.3\% of DOM were contributed by algae in September and January, respectively, according to the linear correlation between the concentrations of algae-derived DOM and the fluorescence intensities of tyrosine-like matter. According to the stockbreeding development and climate change in Hunlun Buir Steppe, we deduced that the destruction of the grassland ecosystem by overgrazing in specific locations and trends in climatic warming and drying were the main factors causing the increase of OM and nutrient concentrations in Lake Hulun. This result highlights the need to pay more attention to the inputs of terrigenous organic matter to the lakes in northern China.},
  keywords = {Climate change,Lake Hulun,Organic matter,Overgrazing,Source identification},
  file = {D:\Zotero\storage\C2DU2IXI\S0048969712007346.html}
}

@article{chen2012b,
  title = {Integrated Management of Nutrients from the Watershed to Coast in the Subtropical Region},
  author = {Chen, Nengwang and Hong, Huasheng},
  date = {2012-05-01},
  journaltitle = {Current Opinion in Environmental Sustainability},
  shortjournal = {Current Opinion in Environmental Sustainability},
  series = {Carbon and Nitrogen Cycles},
  volume = {4},
  number = {2},
  pages = {233--242},
  issn = {1877-3435},
  doi = {10.1016/j.cosust.2012.03.007},
  abstract = {This paper is a brief review on nutrient variation (changes in element concentrations and ratios) and the associated aquatic ecosystem responses in the subtropical region. Human activities have significantly modified both the flux and the ratio of nutrients delivered to aquatic ecosystems. Climate perturbations influence the hydrological regime and enhance nutrient mineralization and transport from land to receiving waters. Changes in land use and damming have resulted in changes in the balance among nitrogen, phosphorus and silicon elements, thus increasing the risk of algal bloom. Nutrient variation and its ecological effects in the subtropical region could be more significant than in other areas because of rapid development and high population. Aquatic ecosystems respond to nutrient variation in complex and dynamic ways resulting in eutrophication, hypoxia/anoxia, acidification, and changes in phytoplankton and microbial communities. This review suggests that harmful algal bloom, jellyfish bloom, and serious pathogens are often associated with nutrient variations. The current challenges to scientific research and management include the facts that (1) the link between nutrient dynamics and ecosystem responses is poorly understood; (2) monitoring data to support modeling and management are scarce; (3) aquatic ecosystems are site-specific and/or situation-specific and are highly dynamic, giving greater complexity in research and management; and (4) the lack of regional coordination in traditional management causes transboundary gaps. To address these current challenges, an integrated management framework was proposed for effective nutrient management. Institutional arrangements should be developed to coordinate across multiple government agencies and other stakeholders from watershed to coast. The framework should integrate an interdisciplinary scientific approach and adaptive principles regarding nutrient management.},
  file = {D\:\\Zotero\\storage\\839A456P\\Chen and Hong - 2012 - Integrated management of nutrients from the waters.pdf;D\:\\Zotero\\storage\\4YUNDDDK\\S1877343512000395.html}
}

@article{chen2013,
  title = {Environmental Changes in {{Chaohu Lake}} (Southeast, {{China}}) since the Mid 20th Century: {{The}} Interactive Impacts of Nutrients, Hydrology and Climate},
  shorttitle = {Environmental Changes in {{Chaohu Lake}} (Southeast, {{China}}) since the Mid 20th Century},
  author = {Chen, Xu and Yang, Xiangdong and Dong, Xuhui and Liu, Enfeng},
  date = {2013-01},
  journaltitle = {Limnologica},
  shortjournal = {Limnologica},
  volume = {43},
  number = {1},
  pages = {10--17},
  issn = {00759511},
  doi = {10.1016/j.limno.2012.03.002},
  langid = {english}
}

@article{chen2016b,
  title = {Groundwater {{Nitrate Contamination}} and {{Associated Health Risk}} for the {{Rural Communities}} in an {{Agricultural Area}} of {{Ningxia}}, {{Northwest China}}},
  author = {Chen, Jie and Wu, Hao and Qian, Hui},
  date = {2016-09-01},
  journaltitle = {Exposure and Health},
  shortjournal = {Expo Health},
  volume = {8},
  number = {3},
  pages = {349--359},
  issn = {2451-9685},
  doi = {10.1007/s12403-016-0208-8},
  abstract = {The present study was carried out to evaluate the nitrate contamination in the shallow groundwater and to ascertain the associated health impact on the rural communities in the agricultural area of northwest China. A total of 86 groundwater samples were collected from private wells in rural areas where the groundwater is the main source of drinking water. Statistical analysis indicates that the concentrations of NO3–N in groundwater range from 0.49 to 62.20~mg/L with a mean of 12.15~±~12.92~mg/L. 40.7~\% of groundwater samples are unfit for drinking purpose because of high nitrate concentrations that have exceeded the permissible limits recommended by the WHO and Chinese drinking water standards. Elevated NO3–N levels found in the study area may be attributed to the increased fertilizer rate, intensive irrigation, shallow groundwater depth, high permeability of soil, poor sanitation facilities, and bare infrastructures. Furthermore, non-carcinogenic risk of nitrate incurred by drinking contaminated groundwater in the area was estimated by using the USEPA human health risk assessment method. Only eight and four samples with high nitrate concentrations belong to the domains of the hazard index~{$>$}1 for infants and adults, respectively, indicating the higher health risk in these sampling sites. This study will be useful to develop effective strategies for improving rural drinking water supply and provide scientific evidence for decision and management of the groundwater.},
  langid = {english},
  keywords = {Drinking water,Groundwater,Health risks,Nitrate,Northwest China,Rural area},
  file = {D:\Zotero\storage\LUZSJP8R\Chen et al. - 2016 - Groundwater Nitrate Contamination and Associated H.pdf}
}

@article{chen2017,
  title = {Spatio-Temporal Distribution and Sources of {{Pb}} Identified by Stable Isotopic Ratios in Sediments from the {{Yangtze River Estuary}} and Adjacent Areas},
  author = {Chen, Bin and Liu, Jian and Hu, Limin and Liu, Ming and Wang, Liang and Zhang, Xilin and Fan, Dejiang},
  date = {2017-02},
  journaltitle = {Science of The Total Environment},
  shortjournal = {Science of The Total Environment},
  volume = {580},
  pages = {936--945},
  issn = {00489697},
  doi = {10.1016/j.scitotenv.2016.12.042},
  langid = {english}
}

@article{chen2017a,
  title = {Mangroves as a Major Source of Soil Carbon Storage in Adjacent Seagrass Meadows},
  author = {Chen, Guangcheng and Azkab, Muhammad Husni and Chmura, Gail L. and Chen, Shunyang and Sastrosuwondo, Pramudji and Ma, Zhiyuan and Dharmawan, I. Wayan Eka and Yin, Xijie and Chen, Bin},
  date = {2017-02-10},
  journaltitle = {Scientific Reports},
  shortjournal = {Sci Rep},
  volume = {7},
  number = {1},
  pages = {42406},
  publisher = {Nature Publishing Group},
  issn = {2045-2322},
  doi = {10.1038/srep42406},
  abstract = {Mangrove forests have the potential to export carbon to adjacent ecosystems but whether mangrove-derived organic carbon (OC) would enhance the soil OC storage in seagrass meadows adjacent to mangroves is unclear. In this study we examine the potential for the contribution of mangrove OC to seagrass soils on the coast of North Sulawesi, Indonesia. We found that seagrass meadows adjacent to mangroves had significantly higher soil OC concentrations, soil OC with lower δ 13C, and lower bulk density than those at the non-mangrove adjacent meadows. Soil OC storage to 30\,cm depth ranged from 3.21 to 6.82\,kg\,C m−2, and was also significantly higher at the mangrove adjacent meadows than those non-adjacent meadows. δ13C analyses revealed that mangrove OC contributed 34 to 83\% to soil OC at the mangrove adjacent meadows. The δ13C value of seagrass plants was also different between the seagrasses adjacent to mangroves and those which were not, with lower values measured at the seagrasses adjacent to mangroves. Moreover, we found significant spatial variation in both soil OC concentration and storage, with values decreasing toward sea, and the contribution of mangrove-derived carbon also reduced with distance from the forest.},
  langid = {english},
  keywords = {Carbon cycle,Ecosystem services,Tropical ecology},
  file = {D:\Zotero\storage\K992HR4T\Chen et al. - 2017 - Mangroves as a major source of soil carbon storage.pdf}
}

@article{chen2017c,
  title = {Assessing {{Nitrate}} and {{Fluoride Contaminants}} in {{Drinking Water}} and {{Their Health Risk}} of {{Rural Residents Living}} in a {{Semiarid Region}} of {{Northwest China}}},
  author = {Chen, Jie and Wu, Hao and Qian, Hui and Gao, Yanyan},
  date = {2017-09-01},
  journaltitle = {Exposure and Health},
  shortjournal = {Expo Health},
  volume = {9},
  number = {3},
  pages = {183--195},
  issn = {2451-9685},
  doi = {10.1007/s12403-016-0231-9},
  abstract = {High levels of nitrate and fluoride in drinking water can affect human health. In the present study, statistical and correlation analyses were carried out to assess nitrate and fluoride contamination in groundwater in Zhongning area, Northwest China, where rural residents totally depend on groundwater for drinking. The associated health risks for different age groups (infants, children, adult female, and male) were assessed based on the USEPA model. Results show that NO3–N and F− concentrations in groundwater are in the ranges of 2.66–103 and 0.11–6.33~mg/L, respectively. Of the 50 samples, 30 and four samples have high NO3–N and F− levels exceeding the acceptable limits for drinking purpose recommended by the WHO (10 and 1.5~mg/L), respectively. Enrichment of nitrate contamination is primarily due to the human activities, and dissolution of fluorite is the primary source of fluoride in the groundwater. Correlation values of NO3–N and F− with other chemicals have further confirmed the sources of contaminant in groundwater. Infants are the most vulnerable groups through ingestion pathway. As per the obtained hazard index, majority of the samples (72 and 60~\%) may pose adverse effects on infants and children, but the proportions are relatively lower for adult female and male (28 and 22~\%). These finding suggest that there is an instant need to take ameliorative steps in this region to prevent the residents from nitrate and fluoride exposure through ingestion.},
  langid = {english},
  keywords = {Drinking water safety,Fluoride,Groundwater,Health risk,Nitrate,Rural resident},
  file = {D:\Zotero\storage\3GRIS593\Chen et al. - 2017 - Assessing Nitrate and Fluoride Contaminants in Dri.pdf}
}

@article{yue2013,
  title = {Using Dual Isotopes to Evaluate Sources and Transformation of Nitrogen in the {{Liao River}}, Northeast {{China}}},
  author = {Yue, Fu-Jun and Li, Si-Liang and Liu, Cong-Qiang and Zhao, Zhi-Qi and Hu, Jian},
  date = {2013-09-01},
  journaltitle = {Applied Geochemistry},
  shortjournal = {Applied Geochemistry},
  volume = {36},
  pages = {1--9},
  issn = {0883-2927},
  doi = {10.1016/j.apgeochem.2013.06.009},
  abstract = {The Liao River Basin is one of seven primary river Basins in China. The concentration of dissolved inorganic N (DIN), dual isotopes of NO3- using the denitrifier method, the N isotopes of NH4+ and the N flux in the basin were determined to identify the sources of N and their transformation. The results show that NO3- ranges from 0.3μmol/L to 1316μmol/L. In general, NO3- is the dominant inorganic N species during both flow seasons, but the fraction of NO3-/DIN is variable and high NH4+ is present in some waters. Samples collected from the up-stream portion of the Liao River typically had N isotope values of {$<$}+8‰, while those from the middle and lower portions had values of {$>$}+8‰ during the high flow season. Most water samples had O isotope values of {$<$}+10‰ during the high flow season. During the low flow season, the ranges of N and O isotopic values were limited, with average values of +10.3‰ and +4.9‰, respectively. There is a wider isotopic range of NO3- during the high flow season than the low flow season. The isotopic pattern of NO3- suggests that wastewater and soil organic N are the sources of NO4+ during the high flow season, while wastewater is the main source during low flow season. It appears that no intense denitrification occurs in the river according to the isotopic and chemical data. The N flux of the Liao River system entering the Liao Dong Bay annually is nearly 7.0×104tons, which amounts to 5.0\% of the N from chemical fertilizers used in this basin.},
}

\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\cite{wu2018t} %Wu, Zhaoshi and Cai, Yongjiu and Liu, Xia

\citep{wu2018d} %Wu, Zhaoshi and Wang, Xiaolong and Chen, Yuwei

\citep{wu2018c} %Wu, Zhaoshi and Cai, Yongjiu and Zhang, Lu


\citep{yue2013}

\citep{chen2012, chen2012a, chen2012b, chen2013, chen2016b, chen2017, chen2017a, chen2017c}

\printbibliography

 \end{document} 

结果为：

[earthmoon]

您好，
非常感谢。这些代码完美~
谢谢！

[earthmoon]

您好，
当不适用&，而仅通过第一作者姓来排序时，貌似文末的顺序会存在问题，也许是我的代码修改不对。能帮忙看下吗？

\documentclass[twoside]{article}
\usepackage{ctex}
\usepackage{xcolor}
\usepackage{hyperref}
\usepackage{lipsum}
\usepackage{geometry}

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
%maxcitenames=2,mincitenames=1
]{biblatex}

%\DefineBibliographyStrings{english}{
%        andincite         = { \& },
%        andincitecn       = {和},
%}

\DeclareSortingTemplate{gb7714-2015}{
      \sort{
        \field{presort}
      }
      \sort{
    	\field{lansortorder}%language
    	}
      \sort{
        \field{sortkey}
      }
      \sort{%[direction=descending]
        \field{sortname}
        \field{author}
      }
      \sort{
        \field{sortyear}
        \field{year}
      }
    }


\DeclareSortingNamekeyTemplate{
    \visibility{cite}
    \keypart{
    \namepart{family}
    }
}



\begin{filecontents}[force]{\jobname.bib}
@article{phillips2001,
  title = {Uncertainty in Source Partitioning Using Stable Isotopes},
  author = {Phillips, Donald L. and Gregg, Jillian W.},
  date = {2001-04},
  journaltitle = {Oecologia},
  shortjournal = {Oecologia},
  volume = {127},
  number = {2},
  pages = {171--179},
  issn = {0029-8549, 1432-1939},
  doi = {10.1007/s004420000578},
  langid = {english},
  keywords = {Read},
  file = {D:\Zotero\storage\IXQH7LNP\Phillips and Gregg - 2001 - Uncertainty in source partitioning using stable is.pdf}
}

@article{phillips2001a,
  title = {Mixing Models in Analyses of Diet Using Multiple Stable Isotopes: A Critique},
  shorttitle = {Mixing Models in Analyses of Diet Using Multiple Stable Isotopes},
  author = {Phillips, Donald L.},
  date = {2001-04},
  journaltitle = {Oecologia},
  shortjournal = {Oecologia},
  volume = {127},
  number = {2},
  pages = {166--170},
  issn = {0029-8549, 1432-1939},
  doi = {10.1007/s004420000571},
  langid = {english},
  keywords = {Read},
  file = {D:\Zotero\storage\C38ABJXT\Phillips - 2001 - Mixing models in analyses of diet using multiple s.pdf}
}

@article{phillips2002,
  title = {Incorporating Concentration Dependence in Stable Isotope Mixing Models},
  author = {Phillips, Donald L. and Koch, Paul L.},
  date = {2002-01},
  journaltitle = {Oecologia},
  shortjournal = {Oecologia},
  volume = {130},
  number = {1},
  pages = {114--125},
  issn = {0029-8549, 1432-1939},
  doi = {10.1007/s004420100786},
  langid = {english},
  keywords = {Read},
  file = {D:\Zotero\storage\D4BHDIF8\Phillips and Koch - 2002 - Incorporating concentration dependence in stable i.pdf}
}

@article{phillips2012,
  title = {Converting Isotope Values to Diet Composition: The Use of Mixing Models},
  shorttitle = {Converting Isotope Values to Diet Composition},
  author = {Phillips, Donald L.},
  date = {2012-04-30},
  journaltitle = {Journal of Mammalogy},
  shortjournal = {J Mammal},
  volume = {93},
  number = {2},
  pages = {342--352},
  issn = {0022-2372, 1545-1542},
  doi = {10.1644/11-MAMM-S-158.1},
  langid = {english},
  keywords = {Read},
  file = {D:\Zotero\storage\R3SRL5XN\Phillips - 2012 - Converting isotope values to diet composition the.pdf}
}


\end{filecontents}
\addbibresource{\jobname.bib}


\begin{document}

\citep{phillips2001, phillips2001a, phillips2002, phillips2012}

\printbibliography

 \end{document} 

文末的排序，应该把第二篇放到最后一篇。文内的顺序应该为

(Phillips, 2001a, b, 2002, 2012)

谢谢！

[earthmoon]

您好，
我想了下，文末这个排序确实没有错，反而文内的显示应该为：

(Phillips, 2001, 2012, Phillips et al, 2001, 2002)

谢谢！

[hushidong]

改成如下就行，其他不用动

\usepackage[backend=biber,style=gb7714-2015ay,uniquelist=false,
maxcitenames=1,mincitenames=1,
nohashothers=false
]{biblatex}

[earthmoon]

您好，
确实可以了~
谢谢！