Co-occurrences of EDCs and PPCPs in Surface Water Using Chemometrics

被引:4
|
作者
Hagemann, Mark [1 ]
Park, Minji [1 ]
Srinivasan, Varun [1 ]
Reckhow, David A. [1 ]
Lavine, Michael [1 ]
Rosenfeldt, Erik [1 ]
Stanford, Benjamin D. [1 ]
Park, Mi-Hyun [1 ]
机构
[1] Univ Massachusetts, Civil & Environm Engn Dept, 130 Nat Resources Rd, Amherst, MA 01002 USA
来源
关键词
Chemometrics; Endocrine-disrupting compounds; Indicators; Occurrences; Patterns; Pharmaceuticals and personal care products; Surrogate;
D O I
10.5942/jawwa.2016.108.0042
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study investigated co-occurrences of endocrine-disrupting compounds (EDCs), and pharmaceuticals and personal care products (PPCPs) in order to develop effective monitoring strategies. EDCs/PPCPs were clustered on the basis of similarities in their occurrence in surface waters to reduce analytical complexity. Chemometric approaches were applied to three water bodies with different water systems and climate conditions: Lake Mead in Nevada, the Assabet River in Massachusetts, and the Santa Ana River in California. The results show that site-specific co-occurrences among EDCs/PPCPs exist, though these co-occurrences do not translate well between sites. Therefore, the usefulness of this study is in demonstrating the approach of selecting indicator/surrogate compounds using chemometrics rather than providing a single list of recommended compounds for long-term monitoring. This study offers a systematic and practical approach to selecting a suite of analytes when implementing a monitoring program for EDCs/PPCPs in surface waters. © 2016 American Water Works Association.
引用
收藏
页码:E205 / E220
页数:16
相关论文
共 50 条
  • [21] Use of Co-occurrences for Temporal Expressions Annotation
    Craveiro, Olga
    Macedo, Joaquim
    Madeira, Henrique
    STRING PROCESSING AND INFORMATION RETRIEVAL, PROCEEDINGS, 2009, 5721 : 156 - +
  • [22] Using codispersion analysis to characterize spatial patterns in species co-occurrences
    Buckley, Hannah L.
    Case, Bradley S.
    Ellison, Aaron M.
    ECOLOGY, 2016, 97 (01) : 32 - 39
  • [23] Evaluation of Deep Species Distribution Models Using Environment and Co-occurrences
    Deneu, Benjamin
    Servajean, Maximilien
    Botella, Christophe
    Joly, Alexis
    EXPERIMENTAL IR MEETS MULTILINGUALITY, MULTIMODALITY, AND INTERACTION (CLEF 2019), 2019, 11696 : 213 - 225
  • [24] FROM CO-OCCURRENCES TO CONCEPTS + METHOD FOR MAPPING
    MCKINNON, A
    COMPUTERS AND THE HUMANITIES, 1977, 11 (03): : 147 - 155
  • [25] Null matrices and the analysis of species co-occurrences
    James G. Sanderson
    Michael P. Moulton
    Ralph G. Selfridge
    Oecologia, 1998, 116 : 275 - 283
  • [26] Word discrimination based on bigram co-occurrences
    El-Nasan, A
    Veeramachaneni, S
    Nagy, G
    SIXTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, PROCEEDINGS, 2001, : 149 - 153
  • [27] Quantification of the spatial co-occurrences of ecological boundaries
    Fortin, MJ
    Drapeau, P
    Jacquez, GM
    OIKOS, 1996, 77 (01) : 51 - 60
  • [28] Code Smell Co-occurrences: A Systematic Mapping
    Neto, Antonio
    Bezerra, Carla
    Martins, Julio
    36TH BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING, SBES 2022, 2022, : 331 - 336
  • [29] Headache and Tremor: Co-occurrences and Possible Associations
    Kuiper, Mathys
    Hendrikx, Suzan
    Koehler, Peter J.
    TREMOR AND OTHER HYPERKINETIC MOVEMENTS, 2015, 5
  • [30] Corpus of Syntactic Co-Occurrences: A Delayed Promise
    Klyshinsky, Eduard S.
    Lukashevich, Natalia Y.
    ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE, 2018, 789 : 121 - 127