Remote sensing insights for sustainable development: Water quality and landscape dynamics in Mirik Lake, Darjeeling District, West Bengal, India DOI Creative Commons
Subhra Halder, Suddhasil Bose

Cleaner Water, Journal Year: 2024, Volume and Issue: 2, P. 100024 - 100024

Published: June 20, 2024

The study employs remote sensing and GIS techniques to assess the water quality dynamics of Mirik Lake, located in Darjeeling Himalayas, West Bengal, India. To analyse impact land use cover (LULC) changes on Lake from 1993 2023. Landsat imagery spanning 2023 was used detect significant alterations LULC patterns. Remote were utilised data, focusing their implications for quality. results indicate a steady increase total phosphorus (TP), nitrogen (TN), Biological Oxygen Demand (BOD) levels, attributed anthropogenic activities such as urbanisation tourism development. change analysis highlights expanding built-up areas agricultural lands surrounding lake, contributing nutrient loading organic pollution. spatial distribution pollution categories underscores influence tourist infrastructure degradation. Integrated watershed management sustainable development strategies are recommended mitigate impacts preserve ecological integrity Lake.

Language: Английский

Emerging Trends in Real-Time Water Quality Monitoring and Sanitation Systems DOI Creative Commons
Preeti Verma, Pankaj Mehta

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Water, sometimes referred to as the ‘matrix of life’, highlights fundamental significance life’s ecosystem. However, water pollution creates substantial worldwide concerns, jeopardising access safe drinking and impeding progress towards Sustainable Development Goals (SDGs). Real-time monitoring (RTM) systems, which use modern sensor technology data analytics, present a possible answer these issues. The study examines challenges presented by issues such scarcity, insufficient sanitary infrastructure. This emphasised function RTM in management, emphasising its benefits for improving quality monitoring, supporting effective management strategies protecting resources. Furthermore, it investigates Internet Things (IoT) devices remote sensing techniques detection, their ability give real-time data, increase capabilities promote informed decision-making. chapter also advanced sensors (chemical sensors, smart satellite sensors), analytics visualisation approaches enhanced decision-making resource management. Overall, RTM, when combined with IoT technologies, provides holistic strategy addressing pollution, mitigating effects promoting sustainable practices.

Language: Английский

Citations

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Future directions in water quality management: integrating advanced technologies and sustainable practices DOI
Rwitabrata Mallick, Sandeep Poddar

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 215 - 227

Published: Jan. 1, 2025

Language: Английский

Citations

0

Revolutionizing water quality management the impact of machine learning and artificial intelligence DOI
Richa Sharma, Aparna Satapathy,

Vaishnavi Srivastava

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 27 - 42

Published: Jan. 1, 2025

Language: Английский

Citations

0

Advancements in water quality monitoring: leveraging machine learning and artificial intelligence for environmental management DOI
Gagandeep Kaur, Pardeep Singh Tiwana,

Advait Vihan Kommula

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 11 - 26

Published: Jan. 1, 2025

Language: Английский

Citations

0

Water sustainability: a review of advances in water quality management technologies DOI
Shama E. Haque,

Farhan Sadik Snigdho,

N. Tasneem

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 195 - 214

Published: Jan. 1, 2025

Language: Английский

Citations

0

Artificial intelligence and machine learning based water quality monitoring, prediction, and analysis: a comprehensive review DOI
Amandeep Kaur, Sonali Goyal, Neera Batra

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 1, 2025

Language: Английский

Citations

0

Artificial intelligence based detection and control strategies for river water pollution: A comprehensive review DOI
Deepak L. Bhatt, Mamata Swain, Dhananjay Yadav

et al.

Journal of Contaminant Hydrology, Journal Year: 2025, Volume and Issue: 271, P. 104541 - 104541

Published: March 17, 2025

Language: Английский

Citations

0

The Impact of IoT and Machine Learning on Water Quality: An Overview DOI

Amira Zrouri,

Ilhame El Farissi

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 617 - 625

Published: Jan. 1, 2025

Language: Английский

Citations

0

The Integration of IoT (Internet of Things) Sensors and Location-Based Services for Water Quality Monitoring: A Systematic Literature Review DOI Creative Commons
Rajapaksha Mudiyanselage Prasad Niroshan Sanjaya Bandara, Amila Jayasinghe, Guenther Retscher

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1918 - 1918

Published: March 19, 2025

The increasing demand for clean and reliable water resources, coupled with the growing threat of pollution, has made real-time quality (WQ) monitoring assessment a critical priority in many urban areas. Urban environments encounter substantial challenges maintaining WQ, driven by factors such as rapid population growth, industrial expansion, impacts climate change. Effective WQ is essential safeguarding public health, promoting environmental sustainability, ensuring adherence to regulatory standards. advancement Internet Things (IoT) sensor technologies smartphone applications presents an opportunity develop integrated platforms assessment. Advances IoT provide transformative solution monitoring, revolutionizing way we assess manage our resources. Moreover, recent developments Location-Based Services (LBSs) Global Navigation Satellite Systems (GNSSs) have significantly enhanced accessibility accuracy location information. With proliferation GNSS services, GPS, GLONASS, Galileo, BeiDou, users now access diverse range data that are more precise than ever before. These advancements it easier integrate information into various applications, from planning disaster management transportation. availability multi-GNSS support allows improved satellite coverage reduces potential signal loss or densely built environments. To harness this enable seamless integration LBSs sustainable systematic literature review was conducted determine past trends future opportunities. This research aimed limitations traditional systems while fostering understanding positioning capabilities development. highlights both using offering insights current state technology its There pressing need integrated, system cost-effective accessible. Such should leverage networks continuous immediate feedback, spatially dynamic insights, empowering stakeholders address issues collaboratively efficiently.

Language: Английский

Citations

0

BIM, IoT, and GIS integration in construction resource monitoring DOI Creative Commons
Xiangyang Liu, Maxwell Fordjour Antwi‐Afari, Jue Li

et al.

Automation in Construction, Journal Year: 2025, Volume and Issue: 174, P. 106149 - 106149

Published: March 31, 2025

Language: Английский

Citations

0