Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes

污染物 环境科学 污染 环境工程 色散(光学) 化学 生态学 生物 光学 物理 有机化学
作者
Xueqing Guo,Yi Liu,Jianmin Zhang,Shengli Chen,Sun-Wei Li,Zhen‐Zhong Hu
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:15 (13): 10547-10547
标识
DOI:10.3390/su151310547
摘要

The rapid development of coastal economies has aggravated the problem of pollution in the coastal water bodies of various countries. Numerous incidents of massive-scale marine life deaths have been reported because of the excessive discharge of industrial and agricultural wastewater. To investigate the diffusion of typical pollutants after discharge, in this study, a multi-process fusion simulation analysis model of pollutants under the action of ocean currents was established based on the concentration analysis method. Furthermore, key technologies involved, such as the parameter value, data selection, and visualization, were investigated. The iterative analysis and programming realization of three independent sub-processes, such as pollutant diffusion and transport, and the drift path and concentration distribution of pollutants after their discharge into the sea, were visualized. The case study revealed that the increase in the concentration of pollutants in the ocean was affected by the diffusion sub-process, and the transport sub-process plays a critical role in the long-distance transport of pollutants. The proposed method can provide technical support for marine environmental risk assessment and dynamic tracking of marine pollutants.

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
3秒前
5秒前
潇涯完成签到,获得积分10
6秒前
一一发布了新的文献求助10
9秒前
无花果应助xiao99采纳,获得10
10秒前
希望天下0贩的0应助fff采纳,获得10
12秒前
12秒前
丘比特应助科研领军人物采纳,获得10
12秒前
科研通AI6.4应助kavins凯旋采纳,获得10
15秒前
16秒前
16秒前
tina完成签到,获得积分10
17秒前
19秒前
21秒前
xiao99发布了新的文献求助10
22秒前
bkagyin应助欢喜的天空采纳,获得10
22秒前
22秒前
23秒前
24秒前
gaojun发布了新的文献求助10
24秒前
26秒前
雎鸠发布了新的文献求助10
27秒前
echo发布了新的文献求助10
27秒前
大力的灵雁应助蛋123_采纳,获得10
28秒前
wowow发布了新的文献求助10
30秒前
33秒前
老迟到的连虎完成签到,获得积分10
33秒前
33秒前
34秒前
gaojun完成签到,获得积分10
36秒前
37秒前
37秒前
KKK发布了新的文献求助20
38秒前
科研通AI2S应助Coldpal采纳,获得10
38秒前
桐桐应助哼哼哒采纳,获得10
39秒前
zhou完成签到,获得积分10
40秒前
40秒前
40秒前
ZZXX完成签到 ,获得积分10
40秒前
干净的琦应助HXX采纳,获得80
40秒前
高分求助中
(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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357928
求助须知:如何正确求助?哪些是违规求助? 8172412
关于积分的说明 17208129
捐赠科研通 5413332
什么是DOI,文献DOI怎么找? 2865051
邀请新用户注册赠送积分活动 1842569
关于科研通互助平台的介绍 1690663