Artificial intelligence-based biomonitoring of water quality PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Artificial intelligence-based biomonitoring of water quality PDF full book. Access full book title Artificial intelligence-based biomonitoring of water quality by Pattinson, N. B.. Download full books in PDF and EPUB format.
Author: Pattinson, N. B.
Publisher: IWMI
ISBN:
Category : Computers
Languages : en
Pages : 32
Get Book Here
Book Description
International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation, Colombo, Sri Lanka
Author: Pattinson, N. B.
Publisher: IWMI
ISBN:
Category : Computers
Languages : en
Pages : 32
Get Book Here
Book Description
International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation, Colombo, Sri Lanka
Author: Alaa El Din Mahmoud
Publisher: CRC Press
ISBN: 1000829782
Category : Technology & Engineering
Languages : en
Pages : 345
Get Book Here
Book Description
Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures. FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.
Author: Shikuku, Victor
Publisher: IGI Global
ISBN: 1668467933
Category : Computers
Languages : en
Pages : 289
Get Book Here
Book Description
The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Author: Ashutosh Kumar Shukla
Publisher: IOP Publishing Limited
ISBN: 9780750330459
Category : Science
Languages : en
Pages : 160
Get Book Here
Book Description
Though the use of various spectroscopic methods and sensor technology is routine in water quality evaluation. Coupled with artificial intelligence, machine learning, and deep learning methods are opening a new era of quality monitoring and predictive analysis. This book acquaints experienced readers with recent advances and how these techniques are finding applications in water analysis for sectors including environmental protection, industry, agriculture, and drinking water provision. Taking a bottom-up approach the work is also suited for an interdisciplinary readership who may not have direct experience in a particular technique. Qualitative and quantitative analysis of data with the help of observed data is included, as are case studies.
Author: Anju Agrawal
Publisher: Springer Science & Business Media
ISBN: 8132208641
Category : Technology & Engineering
Languages : en
Pages : 178
Get Book Here
Book Description
Biomonitoring of water quality is very much essential for assessing the overall health of water bodies and safe supply of drinking water. The chemical nature of toxicant is highly dynamic in environment with time and space whereas biological system can integrate all environmental variables over a large period of time in terms of effect that can be easily measured and quantified. In view of the above, there is a pressing need to determine the water quality of natural resources as well as drinking water based on the standard protocols and guidelines from regulatory agencies. It is clear that the synthetic chemicals are essential for our society to maintain the health and well being of the people. However, there has been a range of detrimental effects on human health and natural environment. In general, we need to improve our management of waste chemicals discharged into the air, water and soil environments. New techniques are needed to predict adverse effects before they occur and for the treatment of wastes. In addition, a range of social, political and economic factors will be needed to be taken into account in order to achieve success.
Author: A. Gerhardt
Publisher: Trans Tech Publications Ltd
ISBN: 3035739900
Category : Technology & Engineering
Languages : en
Pages : 320
Get Book Here
Book Description
Biomonitoring of water pollution grew out of various disciplines, such as aquatic ecology and (eco)toxicology. It has now become a scientific tool for monitoring the degree of pollution of aquatic systems. The present book is a comprehensive review of the field. The most promising techniques used in the biomonitoring of polluted water are discussed in the light of their advantages and limitations.
Author: Koen, R. C. J.
Publisher: International Water Management Institute (IWMI). CGIAR Initiative on Digital Innovation
ISBN:
Category : Business & Economics
Languages : en
Pages : 10
Get Book Here
Book Description
This report provides an overview of the mini Stream Assessment Scoring System (miniSASS) and South African Scoring System Version 5 (SASS5) as biomonitoring techniques for assessing the ecological condition of streams and rivers based on the identification of aquatic macroinvertebrates. While miniSASS relies on minimally trained citizen scientists to identify macroinvertebrates at the Order-level, SASS5 utilizes expertly accredited practitioners for finer resolution, even up to the family-level. However, the reliance on citizen scientists for miniSASS identification introduces limitations in terms of precision, accuracy, and reliability. To address these limitations, ongoing developments within the CGIAR Initiative on Digital Innovation include the creation of a miniSASS smartphone application, an upgraded website, an interactive online course, and a machine-learning identification algorithm to assist with photo identification. Additionally, a revised dichotomous key has been developed to improve operator identification during miniSASS surveys. Furthermore, the potential for upscaling the machine-learning identification algorithm to assist in identifying the 91 family-level taxa used in SASS5 assessments has been explored. The outcomes of these developments and explorations presented in this paper aim to enhance the overall effectiveness and reliability of both the miniSASS and SASS5 techniques. By leveraging digital innovation and incorporating machine-learning technology, we anticipate the efficiency, accuracy, and accessibility of biomonitoring assessments will significantly improve, ultimately contributing to a better understanding and management of our aquatic ecosystems.
Author: Shikha Gulati
Publisher: Springer Nature
ISBN: 3031694333
Category :
Languages : en
Pages : 327
Get Book Here
Book Description
Author: Sylvester Chibueze Izah
Publisher: Springer Nature
ISBN: 9819716586
Category :
Languages : en
Pages : 889
Get Book Here
Book Description
Author: Zaidi Mohamad Nor
Publisher:
ISBN:
Category : Water quality management
Languages : en
Pages : 69
Get Book Here
Book Description
Water is need for all life in this earth. The sources of water are surface water and ground water. It is important to keep this source clean and free from any pollution. In Malaysia, National Monitoring Network was established in 1978. The aims are to establish the status of river water quality and to detect changes in water quality as a result of development activities. There were 902 manual stations in 120 basins (462 rivers) were establish. Among the program included are in-situ measurements and sampling and laboratory analyses. There were 15 automatic water quality monitoring stations on major rivers in Malaysia. Among the reasons are to detect changes in river water quality on a continuous basis, water quality levels violating the ambient standard for specific parameters will be transmitted real-time to DOE and immediate inspection will be conducted at suspected sites. There are six parameters to detemline the Water Quality Index (WQI) based on Department the formula given by DOE. The main objectives of the WQI is to used it as a preliminary means of assessment of a water body for compliance with the standards adopted for five designated classes of beneficial uses. -Author.
