Towards a better understanding of atmospheric water harvesting (AWH) technology

雨水收集 环境科学 新兴技术 稀缺 可持续发展 计算机科学 政治学 生态学 生物 人工智能 经济 微观经济学 法学
作者
Meng‐Lu Wang,Enke Liu,Tao Jin,Saud Uz Zafar,Xurong Mei,Marie‐Laure Fauconnier,Caroline De Clerck
出处
期刊:Water Research [Elsevier BV]
卷期号:250: 121052-121052 被引量:53
标识
DOI:10.1016/j.watres.2023.121052
摘要

Atmospheric water harvesting (AWH) technology is an emerging sustainable development strategy to deal with global water scarcity. To better understand the current state of AWH technology development, we conducted a bibliometric analysis highlighting three water harvesting technologies (fog harvesting, condensation, and sorption). By comprehensively reviewing the research progress and performing a comparative assessment of these technologies, we summarized past achievements and critically analyzed the different technologies. Traditional fog collectors are more mature, but their efficiency still needs to be improved. External field-driven fog harvesting and active condensation need to be driven by external forces, and passive condensation has high requirements for environmental humidity. Emerging bio-inspired fog harvesting and sorption technology provide new possibilities for atmospheric water collection, but they have high requirements for materials, and their commercial application is still to be further promoted. Based on the key characteristics of each technology, we presented the development prospects for the joint use of integrated/hybrid systems. Next, the water-energy relationship is used as a link to clarify the future development strategy of AWH technology in energy driving and conversion. Finally, we outlined the core ideas of AWH for both basic research and practical applications and described its limitless possibilities for drinking water supply and agricultural irrigation. This review provides an essential reference for the development and practical application of AWH technologies, which contribute to the sustainable utilization of water resources globally.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
翻斗花园612完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
重要的平灵完成签到 ,获得积分10
3秒前
张蕾发布了新的文献求助10
3秒前
5秒前
5秒前
李争发布了新的文献求助10
5秒前
sailll发布了新的文献求助10
6秒前
HU发布了新的文献求助50
8秒前
8秒前
牧云关注了科研通微信公众号
8秒前
秀丽友灵完成签到,获得积分10
8秒前
9秒前
ddm发布了新的文献求助10
10秒前
11秒前
研友_Z1WrgL发布了新的文献求助10
11秒前
12秒前
liuhao发布了新的文献求助10
12秒前
JunJun完成签到 ,获得积分10
12秒前
12秒前
CodeCraft应助芳芳采纳,获得10
14秒前
隐形的迎南完成签到,获得积分10
14秒前
18秒前
可以理解完成签到,获得积分10
18秒前
陈强强发布了新的文献求助10
18秒前
李争完成签到,获得积分10
19秒前
Zhuhaimao发布了新的文献求助10
19秒前
suwan完成签到,获得积分10
19秒前
马东发布了新的文献求助10
20秒前
勤劳的薯片完成签到,获得积分10
21秒前
21秒前
舒心梦玉完成签到,获得积分10
23秒前
24秒前
清爽老九发布了新的文献求助10
24秒前
xieyuanxing完成签到,获得积分10
24秒前
激情的白枫完成签到 ,获得积分20
24秒前
研友_Ze2oV8发布了新的文献求助10
25秒前
xinge3787发布了新的文献求助100
25秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 1370
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
Comparison of adverse drug reactions of heparin and its derivates in the European Economic Area based on data from EudraVigilance between 2017 and 2021 500
[Relativity of the 5-year follow-up period as a criterion for cured cancer] 500
Statistical Analysis of fMRI Data, second edition (Mit Press) 2nd ed 500
Huang‘s catheter ablation of cardiac arrthymias 5th edtion 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3944661
求助须知:如何正确求助?哪些是违规求助? 3489644
关于积分的说明 11052828
捐赠科研通 3220616
什么是DOI,文献DOI怎么找? 1780176
邀请新用户注册赠送积分活动 865146
科研通“疑难数据库(出版商)”最低求助积分说明 799837