Drone‐based digital twins for water quality monitoring: A systematic review DOI Creative Commons

Aishah Hamzah,

Faisal Aqlan, Sabur Baidya

et al.

Digital twins and applications., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract The rapid advancement of drone technology and digital twin systems has significantly transformed environmental monitoring, particularly in the field water quality assessment. This paper systematically reviews current state research on application drones, twins, their integration for monitoring management. It highlights key themes, insights, trends, commonly used methodologies, future directions from existing studies, aiming to provide a foundational reference further harness promising potential these technologies effective, scalable solutions resource management, addressing both immediate long‐term challenges. systematic review followed PRISMA guidelines, rigorously analysing hundreds relevant papers. Key findings emphasise effectiveness drones capturing real‐time, high‐resolution spatial temporal data, as well value twins predictive simulation‐based analysis. Most importantly, demonstrates integrating enhance sustainable management practices. However, it also identifies significant gap fully with comprehensive In response, outlines directions, including improvements data techniques, models, interdisciplinary collaboration.

Language: Английский

eDNA enhances detection efficiency but reveals lower waterbird diversity: A comparison with point counting method DOI Creative Commons

Hongming Shuai,

Xiaoru Liu,

Y. Zhang

et al.

Avian Research, Journal Year: 2025, Volume and Issue: unknown, P. 100236 - 100236

Published: March 1, 2025

Language: Английский

Citations

0
Nanoplastics in Heat-Sensitive Food Packaging: A Review of Migration, Detection, and Health and Environmental Impacts DOI
P. Senthilkumar,

Bernadette Kumar,

Aishwarya Vetrivel

et al.

Food Control, Journal Year: 2024, Volume and Issue: 169, P. 111002 - 111002

Published: Nov. 4, 2024

Language: Английский

Citations

1
Exploring riverine aquatic animal diversity and establishing aquatic ecological monitoring approaches tailored to the Qinling region via eDNA technology DOI Open Access
Biao Wang,

Yongshuang Wang,

Nianpeng He

et al.

Integrative Zoology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 26, 2024

This study thoroughly examines biodiversity and aquatic ecosystems across 14 sampled sites within the Shitou River basin by utilizing environmental DNA technology. Through integrated analysis high-throughput sequencing, elucidates a diverse array of biodiversity, encompassing 27 fish species 341 freshwater benthic macroinvertebrates (FBM) species. Using various indices, we found significant differences in diversity stability different environments. Regions with more complex habitats had higher richness evenness. Further analyses showed relationships between metrics for FBM fish, indicating potential interactions these groups. The standardized mean score (SMS) was developed to aid assessment water quality. Specifically, SMS scoring revealed that STH3, STH4, STH14 excelled multiple dimensions, earning an "Excellent" rating, while site STH12 rated as "Poor" due subpar performance several metrics. project not only enhances current understanding regarding ecological dynamics but also establishes strong foundation detailed evaluation monitoring, aligned priorities contemporary management caution.

Language: Английский

Citations

0
Drone‐based digital twins for water quality monitoring: A systematic review DOI Creative Commons

Aishah Hamzah,

Faisal Aqlan, Sabur Baidya

et al.

Digital twins and applications., Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract The rapid advancement of drone technology and digital twin systems has significantly transformed environmental monitoring, particularly in the field water quality assessment. This paper systematically reviews current state research on application drones, twins, their integration for monitoring management. It highlights key themes, insights, trends, commonly used methodologies, future directions from existing studies, aiming to provide a foundational reference further harness promising potential these technologies effective, scalable solutions resource management, addressing both immediate long‐term challenges. systematic review followed PRISMA guidelines, rigorously analysing hundreds relevant papers. Key findings emphasise effectiveness drones capturing real‐time, high‐resolution spatial temporal data, as well value twins predictive simulation‐based analysis. Most importantly, demonstrates integrating enhance sustainable management practices. However, it also identifies significant gap fully with comprehensive In response, outlines directions, including improvements data techniques, models, interdisciplinary collaboration.

Language: Английский

Citations

0