Qianlinglin Qiu
Chinese Academy of Sciences
6 Papers
3 Citations
Qianlinglin Qiu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Quantile & Effluent. The author has an hindex of 4, co-authored 6 publications.
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Papers
Compositional variety of dissolved organic matter and its correlation with water quality in peri-urban and urban river watersheds
TL;DR: Wang et al. as discussed by the authors investigated the fluorescent intensities of DOM components and examined their correlation with the water quality parameters in peri-urban (Zhangxi River) and urban (Lu River) watersheds in Ningbo, East China.
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Seasonal variation and ecological risk assessment of dissolved organic matter in a peri-urban critical zone observatory watershed.
TL;DR: This study used fluorescence excitation-emission matrix and parallel factor analysis (EEM-PARAFAC) to characterize DOM in a peri-urban critical zone observatory watershed in Eastern China, and showed that DOM quality was mainly influenced by human activities, and the proportion of protein-like substance was strongly correlated with anthropogenic parameters.
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A framework to develop joint nutrient criteria for lake eutrophication management in eutrophic lakes
TL;DR: Wang et al. as discussed by the authors proposed a novel analytical framework of nutrient criteria development, by which joint nutrient criteria are developed using quantile regression (QR), and demonstrated the steps necessary to utilize this novel approach using TP, TN, and CHL data from Lake Dianchi, a hypereutrophic lake located in southwestern China.
22
Global pattern of studies on phosphorus at watershed scale
TL;DR: The bibliometric dataset of publications on watershed phosphorus was downloaded from the Science Citation Index Expanded from the Web of Science and visualized with cluster and network analysis to map global research status and trends.
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A statistical framework to track temporal dependence of chlorophyll–nutrient relationships with implications for lake eutrophication management
Qianlinglin Qiu,Zhongyao Liang,Zhongyao Liang,Yaoyang Xu,Shin-ichiro S. Matsuzaki,Kazuhiro Komatsu,Tyler Wagner +6 more
TL;DR: In this article, a novel statistical framework was proposed for reliable chlorophyll-nutrient relationship (CNR) estimation in Lake Champlain and Lake Kasumigaura using quantile regression to reveal temporal dependence of CNR.
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