Comparative study of dissolved organic matter from groundwater and surface water in the Florida coastal Everglades using multi-dimensional spectrofluorometry combined with multivariate statistics

溶解有机碳 生物地球化学循环 地表水 地下水 海湾 环境科学 环境化学 水文学(农业) 有机质 海洋学 生态学 地质学 化学 环境工程 岩土工程 生物
作者
Meilian Chen,René M. Price,Youhei Yamashita,Rudolf Jaffé
出处
期刊:Applied Geochemistry [Elsevier BV]
卷期号:25 (6): 872-880 被引量:228
标识
DOI:10.1016/j.apgeochem.2010.03.005
摘要

Dissolved organic matter (DOM) in groundwater and surface water samples from the Florida coastal Everglades were studied using excitation–emission matrix fluorescence modeled through parallel factor analysis (EEM-PARAFAC). DOM in both surface and groundwater from the eastern Everglades S332 basin reflected a terrestrial-derived fingerprint through dominantly higher abundances of humic-like PARAFAC components. In contrast, surface water DOM from northeastern Florida Bay featured a microbial-derived DOM signature based on the higher abundance of microbial humic-like and protein-like components consistent with its marine source. Surprisingly, groundwater DOM from northeastern Florida Bay reflected a terrestrial-derived source except for samples from central Florida Bay well, which mirrored a combination of terrestrial and marine end-member origin. Furthermore, surface water and groundwater displayed effects of different degradation pathways such as photodegradation and biodegradation as exemplified by two PARAFAC components seemingly indicative of such degradation processes. Finally, Principal Component Analysis of the EEM-PARAFAC data was able to distinguish and classify most of the samples according to DOM origins and degradation processes experienced, except for a small overlap of S332 surface water and groundwater, implying rather active surface-to-ground water interaction in some sites particularly during the rainy season. This study highlights that EEM-PARAFAC could be used successfully to trace and differentiate DOM from diverse sources across both horizontal and vertical flow profiles, and as such could be a convenient and useful tool for the better understanding of hydrological interactions and carbon biogeochemical cycling.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
王不凡驳回了xin应助
刚刚
鲸鱼完成签到,获得积分20
1秒前
七彩螺旋发布了新的文献求助10
1秒前
多啦2642发布了新的文献求助10
1秒前
沉默小玉发布了新的文献求助10
1秒前
清秀凡霜完成签到,获得积分0
1秒前
壮观缘分发布了新的文献求助10
1秒前
CML关闭了CML文献求助
1秒前
葵葵完成签到,获得积分10
2秒前
CodeCraft应助wp采纳,获得10
2秒前
wanci应助中国女孩采纳,获得10
2秒前
张元东完成签到 ,获得积分10
3秒前
dai发布了新的文献求助10
3秒前
永恒发布了新的文献求助10
4秒前
dxp123完成签到 ,获得积分10
4秒前
6秒前
6秒前
6秒前
7秒前
8秒前
SciGPT应助我爱山之东采纳,获得10
8秒前
8秒前
Bittersweet发布了新的文献求助10
8秒前
柠静樨发布了新的文献求助30
8秒前
8秒前
学术孤儿应助zxr采纳,获得10
8秒前
tough_cookie给tough_cookie的求助进行了留言
9秒前
永恒发布了新的文献求助10
9秒前
12345发布了新的文献求助10
9秒前
无情碧灵完成签到,获得积分10
10秒前
11秒前
xuejingling发布了新的文献求助10
11秒前
11秒前
Genmii完成签到,获得积分10
11秒前
yiyi发布了新的文献求助10
12秒前
小伙子发布了新的文献求助10
12秒前
潇洒的惋清应助zclm采纳,获得10
12秒前
14秒前
脑洞疼应助开放大地采纳,获得10
14秒前
daisy发布了新的文献求助10
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Clinical effects of budesonide oxygen driving atomization on patients with chronic obstructive pulmonary disease at acute exacerbation phase 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7568830
求助须知:如何正确求助?哪些是违规求助? 9148725
关于积分的说明 19565310
捐赠科研通 7154801
什么是DOI,文献DOI怎么找? 3263152
关于科研通互助平台的介绍 2429089
邀请新用户注册赠送积分活动 2253412