EMMTE: An Excel VBA tool for source apportionment of nitrate based on the stable isotope mixing model

分摊 硝酸盐 混合(物理) 环境科学 地下水 应用程序用VB语言 计算机科学 水文学(农业) 环境工程 化学 工程类 岩土工程 物理 量子力学 有机化学 程序设计语言 法学 政治学
作者
Xu Cao,Wei He,Wei He,Yuanyuan Shi,Tongyan An,Xiange Wang,Fei Liu,Yi Zhao,Pengpeng Zhou,Cuibai Chen,Jiangtao He
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:868: 161728-161728
标识
DOI:10.1016/j.scitotenv.2023.161728
摘要

Dual nitrate stable isotopes combined with end-member mixing models are typically used to identify nitrate sources in fields of geochemistry and environmental science, which helps to quantitively depict the geochemical behaviors of nitrate and accurately control the sources of nitrate pollution in waters. Recently, various models with different computation principles, working efficiency, and operation difficulty have been developed and applied in the source apportionment of nitrate. In this paper, an end-member mixing model tool on Excel™, namely EMMTE, has been written with Visual Basic for Application (VBA) and built into a macro-enabled Excel™ spreadsheet. Monte Carlo simulation and constraint relative deviation between the observed and the predicted values were included in the working algorithm to solve the mass balance equation. After comparison with the internationally recognized Bayesian framework (mixing stable isotope analysis in R, MixSIAR) in different cases (three practical cases and one virtual case), the preliminary results showed that the contribution of various sources to groundwater nitrate calculated by EMMTE was highly consistent with that by MixSIAR and the performance of EMMTE seemed to be as good as that of MixSIAR as indicated by the higher goodness-of-prediction, lower root-mean-square error, and lower relative deviation. Therefore, EMMTE is applicable in the source apportionment of groundwater nitrate, and might also be extended to other water bodies and mixtures. It provides a simple, feasible, and user-friendly for front-line workers without experience with MixSIAR to quantitively source apportionment of nitrate in waters.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
仙女完成签到 ,获得积分10
刚刚
于芋菊发布了新的文献求助20
2秒前
2秒前
111完成签到 ,获得积分10
2秒前
丰广富山发布了新的文献求助10
4秒前
bkagyin应助阿黎采纳,获得10
4秒前
4秒前
共享精神应助许蓁蓁采纳,获得10
5秒前
5秒前
mouxq发布了新的文献求助10
5秒前
七慕凉完成签到,获得积分20
5秒前
诙识可好发布了新的文献求助10
6秒前
无限的可乐完成签到,获得积分10
7秒前
许容关注了科研通微信公众号
8秒前
杏小叶完成签到,获得积分10
8秒前
111关注了科研通微信公众号
8秒前
elgar612发布了新的文献求助10
8秒前
晚风挽清欢完成签到,获得积分10
9秒前
9秒前
...完成签到 ,获得积分10
11秒前
勤恳的断秋完成签到 ,获得积分10
12秒前
Nature完成签到,获得积分10
12秒前
1257应助cookiezhu01采纳,获得10
13秒前
14秒前
满意的柏柳完成签到 ,获得积分10
14秒前
15秒前
头上长犄角完成签到,获得积分10
16秒前
小二郎应助erguotou采纳,获得10
17秒前
17秒前
爆米花应助yjy采纳,获得30
17秒前
Hello应助闻疏采纳,获得10
20秒前
fu发布了新的文献求助50
22秒前
诙识可好完成签到,获得积分20
24秒前
研友_VZG7GZ应助美好斓采纳,获得10
27秒前
27秒前
斐斐完成签到,获得积分10
28秒前
smallxiao完成签到 ,获得积分10
29秒前
葭蓶应助kk采纳,获得10
29秒前
30秒前
高分求助中
Sustainability in Tides Chemistry 1500
TM 5-855-1(Fundamentals of protective design for conventional weapons) 1000
Threaded Harmony: A Sustainable Approach to Fashion 799
Livre et militantisme : La Cité éditeur 1958-1967 500
Retention of title in secured transactions law from a creditor's perspective: A comparative analysis of selected (non-)functional approaches 500
"Sixth plenary session of the Eighth Central Committee of the Communist Party of China" 400
Introduction to Modern Controls, with illustrations in MATLAB and Python 310
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3057090
求助须知:如何正确求助?哪些是违规求助? 2713644
关于积分的说明 7436720
捐赠科研通 2358721
什么是DOI,文献DOI怎么找? 1249510
科研通“疑难数据库(出版商)”最低求助积分说明 607166
版权声明 596314