Showing posts with label sustainable management. Show all posts
Showing posts with label sustainable management. Show all posts

Monday, 15 September 2025

Sustainable Optimization for Innovative Practices of Smart Buildings with the AI Based Deep Learning Techniques | Chapter 3 | Research Updates in Mathematics and Computer Science Vol. 7

 

A major driver in the rethinking of sustainable engineering and management practices is artificial intelligence (AI), especially in the use of cutting-edge deep learning techniques. The primary focus of this study is to assess the efficacy of Long Short-Term Memory (LSTM) networks as an example of the substantial role that artificial intelligence (AI) plays. When it comes to improving operational performance, optimizing resource allocation, and reducing environmental implications, the Long Short-Term Memory (LSTM) model—a complex sort of recurrent neural network—is crucial. An interesting case study illustrating the use of LSTM algorithms to optimize smart building energy usage in real time is included in this research. By utilizing LSTM for comprehensive pattern analysis and making real-time adjustments, AI exhibits impressive efficiency gains in reducing energy waste. Within the broader context of sustainable engineering, this study demonstrates the effectiveness and efficiency of Long Short-Term Memory (LSTM), therefore contributing significantly to the development of a resilient and ecologically conscious future.

 

Author(s) Details

 

K. Rajendra Prasad

Department of CSE (CS), Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/rumcs/v7/452

Monday, 14 July 2025

Modelling and Sustainable Management of Sludge in Drinking Water Treatment Plants: A Case Study from Meknes, Morocco | Chapter 2 | Engineering Research: Perspectives on Recent Advances Vol. 9

 

Water management is a key pillar of sustainable development. Indeed, the rational use of water has become a condition for new investments in the water sector, as in many sectors. Optimising the production of drinking water is one aspect. This optimisation involves not only the choice of water resource use but also the management of by-products of the water treatment process to manage sustainably the exploited water resources. The objective of this study is to provide water treatment operators with a tool to attain the most effective management of the facility's by-products and in consequently optimise the cubic meter price of the treated water.

 

The city of Meknes is watered from two sources and a set of holes (14), The turbidity of water sources can vary depending on rainfall recorded in the region. A water treatment plant (600 l/s) was performed for the purification of water sources. Through this study, we focus on the modelling of the sludge volume produced by this plant. As in the construction field, WTP sludge is very important in the pottery sector. A study proposed the use of a mixture consisting of sludge (85%) and sand (silicon dioxide), 15%, in pottery manufacturing.

 

The objective is to design a model for calculating the sludge volume from the actual data recorded in the plant. The model can be used by the operator to predict the sludge volume and can also be used by the designers.

 

The results of this study demonstrated that the volumes calculated from the model constructed considering the data recorded at the station perfectly match the volumes produced, with a determination coefficient of 100%.

 

This paper has presented some preliminary results concerning the challenging task of modelling the sludge volume produced by the water treatment plant using a model. The application of this model can not only provide the operator with an effective tool for managing the station by-products but also provide designers with a formula to prevent over-/under design of structures. Therefore, these measures help to optimise the cost of production of drinking water and will play an important role in the sustainable development of water resources. Therefore, it is reasonable to consider this approach to be applied in the treatment plant for water with a similar turbidity level.

 

Author(s) Details

M.Farhaoui
National Office of Electricity and Drinking Water, Morocco.

 

Please see the book here: https://doi.org/10.9734/bpi/erpra/v9/5807

 

Friday, 6 June 2025

Wild Edible Plants (WEPs): A Review on Their Importance, Possible Threats, and Conservation | Chapter 7 | Contemporary Research and Perspectives in Biological Science Vol. 2

 

This chapter aims to present the current status of Wild Edible Plants (WEPs), highlight their importance as a nutrient source for future food security, explore the ethnic knowledge associated with them, identify the threats they face, and propose sustainable management strategies. The knowledge of Wild Edible Plants (WEPs) dates back to the dawn of human civilization. Today, they continue to play a crucial supplementary role in global food security. WEPs are integral to traditional food systems, offering nutritional and cultural value in daily life. They are increasingly recognized as a potential source of a naturally healthy diet. However, many WEP resources are under threat from various factors, including overexploitation, overgrazing, forest fires, agricultural encroachment, and the adverse effects of climate change. Consequently, there is an urgent need to conserve the diversity of WEPs and ensure their sustainable management. The conservation and sustainable management of wild edible plants (WEPs) are critical for ensuring future food security and maintaining ecological balance. By collaborating with indigenous and local communities, integrating traditional and scientific knowledge, and implementing comprehensive conservation strategies, we can safeguard the diversity of WEPs.

 

Author (s) Details

Rupali Shirsat
Department of Botany, Shri Dr. R. G. Rathod College of Arts and Science, Murtizapur, District- Akola (MS), 444 107, India.

Dipak Koche
Department of Botany, Shri Shivaji College of Arts, Commerce, and Science, Akola, District- Akola (MS), 444 003, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/crpbs/v2/1897

Monday, 24 February 2025

Forest Resource Dependency and Livelihood Challenges of the People in Mangrove Ecosystem of the Indian Sundarbans: A Case Study on Gosaba C. D. Block | Chapter 4 | Surviving Sundarbans: Tragedy and Hope, Edition 1

This chapter examines the profound reliance of the forest-dependent population in the Gosaba Community Development Block of the Indian Sundarbans on the mangrove ecosystem. The Sundarbans, home to the world’s largest mangrove forest, are crucial for the livelihoods of many residents, particularly those involved in fishing, honey collection, and other forest-related activities. The study, based on data collected from 105 households using purposive snowball sampling, reveals the extent of this dependency and the challenges faced by these communities. Key livelihood practices such as fishing, aquaculture, and honey collection are analysed, highlighting the risks, environmental threats, vulnerability involved and the socio-economic conditions and livelihood support of the population. Through a combination of quantitative and qualitative data, the chapter underscores the need for sustainable management of the mangrove ecosystem to ensure the long-term well-being of the forest-dependent population of Gosaba C.D. block.

 

Author (s) Details

 

Tapas Mistri
Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India.

Notan Haldar
Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India.

Swarup Majhi Gope
Department of Geography, The University of Burdwan, Bardhaman, West Bengal, India.

 

 Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48859-73-0/CH4

Wednesday, 5 February 2025

Lake Management: A Case Study | Chapter 9 | Geography, Earth Science and Environment: Research Highlights Vol. 3

Nowadays, the preoccupation with the environment is increasing. This awareness is a realistic and pragmatic choice owing to the numerous negative impacts of non-environmental-friendly technologies. Eutrophication is one of the major threats to aquatic ecosystems such as lakes. In terms, it may lead to the complete degradation of water quality as well as its environment. As the lake is deeply involved in many ecosystem services, the restoration of eutrophic lakes is very important. The analysis of the water quality of Efoulan Lake shows that Dissolved Oxygen (DO), Nitrate, CO2 and orthophosphate were 0.08 mg/L, 34 mg/L, 40.5 mg/L and 40 mg/L respectively. This confirms the dystrophic character of the lake. The restoration solutions include dry dredging, sanitation of the River NTSOMO (the lake's tributary), and political measures to encourage the adoption of decentralized green systems.

 

Author (s) Details

 

Abanda Well Victorien Bienvenu
University of Padova, Padova, Italy.

 

Gideon A Ajeagah
University of Yaounde I, Cameroon.

 

George E Nkeng|
National Advanced School of Public Works, Yaounde, Cameroon.

 

Please see the book here:- https://doi.org/10.9734/bpi/geserh/v3/3191

Wednesday, 15 January 2025

Sustainable Optimization for Innovative Practices of Smart Buildings with the AI Based Deep Learning Techniques | Chapter 4 | Research Updates in Mathematics and Computer Science Vol. 7

 

A major driver in the rethinking of sustainable engineering and management practices is artificial intelligence (AI), especially in the use of cutting-edge deep learning techniques. The primary focus of this study is to assess the efficacy of Long Short-Term Memory (LSTM) networks as an example of the substantial role that artificial intelligence (AI) plays. When it comes to improving operational performance, optimizing resource allocation, and reducing environmental implications, the Long Short-Term Memory (LSTM) model—a complex sort of recurrent neural network—is crucial. An interesting case study illustrating the use of LSTM algorithms to optimize smart building energy usage in real time is included in this research. By utilizing LSTM for comprehensive pattern analysis and making real-time adjustments, AI exhibits impressive efficiency gains in reducing energy waste. Within the broader context of sustainable engineering, this study demonstrates the effectiveness and efficiency of Long Short-Term Memory (LSTM), therefore contributing significantly to the development of a resilient and ecologically conscious future.

 

Author(s)details:-

 

K. Rajendra Prasad (Professor)
Department of CSE (CS), Institute of Aeronautical Engineering, Dundigal, Hyderabad, India.

 

Please See the book here :- https://doi.org/10.9734/bpi/rumcs/v7/452

Thursday, 19 May 2022

Potential African Agroforestry Systems for Livelihood Security| Chapter 2 | Current Topics in Agricultural Sciences Vol. 7

Background and Scope: The word "agroforestry" was established in the mid-1970s to emphasise the essential and multi-faceted function of trees on farms across the world. Agroforestry, according to the current ICRAF definition, is "a dynamic, ecologically based natural resources management system that diversifies and sustains production for increased social, economic, and environmental benefits for land users at all levels through the integration of trees in farms and in the agricultural landscape."

The purpose of this chapter was to evaluate and synthesise studies on the continent's existing agroforestry systems. Furthermore, the study focuses on integrating agroforestry systems to long-term livelihoods, taking into account social/cultural, economic/financial, and environmental/ecological advantages, as well as identifying and presenting agroforestry concerns in Africa. The goal of this study was to determine the possibility for African countries to employ agroforestry as a strategy for promoting sustainable livelihoods.

Agroforestry systems in Africa were divided into three categories. Agrisilvicultural systems (crops, including shrub, vine, and tree crops) and trees with the following technologies: I Improved fallow/shifting cultivation; (ii) Taungya; (iii) Alley cropping (hedgerow intercropping); (iv) Multilayer tree gardens; (v) Multipurpose trees on crop lands; (vi) Plantation crop combinations; (vii) Homegardens; (ix) Shelterbelts and windbreaks, live hedges; and (x) Fuelwood production Silvopastoral systems (trees Plus pasture and/or animals) are the second category, which includes: Plantation crops with pastures and animals I Trees on rangeland or pastures; (ii) Protein/Fodder banks; and (iii) Plantation crops with pastures and animals. Agrosilvopastoral systems (trees + crops + pasture/animals) are the third category, which includes: I Animal-friendly home gardens; (ii) Multipurpose woody hedgerows; (iii) Apiculture with trees/Beekeeping; (iv) Aquaforestry/Fisheries; and (vi) Rotational woodlots. There was another important feature of sustainable management of natural forests and woods, which might be related to trees and shrubs, in addition to the three categories. The acceptance and growth of agroforestry systems in Africa is too sluggish, according to research, and this chapter discussed elements that might directly or indirectly impact agroforestry adoption among smallholder farmers in Africa. A review of recent case studies links poor agroforestry adoption and scaling up to a number of factors, including: I a lack of understanding of the benefits of agroforestry/ignorance of the advantages of agroforestry; (ii) delayed return on investment and under-developed markets; (iii) a focus on commercial agriculture; (iv) mass agricultures' focus on using fertilisers and pesticides; (v) a lack of tree seed supplies; and (vi) (viii) Market restrictions; (ix) Inadequate extension work and research; (x) Lack of ability, knowledge, and awareness; (xii) Lack of interest; (xiv) Gender and age; (xv) Policy constraints and Adverse Regulations; and (xv) Policy constraints and Adverse Regulations As a result, pushing agroforestry on the policy agenda is critical and urgent. The following are the basic facts for choosing to develop and regulate agroforestry through policies: I To remove legal and institutional barriers to agroforestry; (ii) To promote favourable agroforestry outcomes; and (iii) To pay farmers for delayed returns. Africa might benefit from lessons learned from African and international agroforestry success stories. These lessons include that for agroforestry to thrive, four concerns must be addressed: I Agroforestry only occurs when it benefits farmers; (ii) Tenure rights must be protected; (iii) Agroforestry connects sectors; and (iv) Forest management standards must be strictly enforced.

Conclusion: In order to establish and develop packages of agroforestry systems in Africa, five imperatives must be observed: I It is critical to transition from traditional to modern farming systems; (ii) It is critical to shift from a sectoral to a multi-sectoral to an inter-sectoral approach to farming (Integrated farming); (iii) There is significant potential for small-scale forest enterprise development (agroforestry); and (iv) There is a pressing need for effective forest.

Author(s) Details:

Cliff S. Dlamini,
Center for Coordination of Agricultural Research and Development for Southern Africa (CCARDESA), Botswana.

Stanley Dlamini,
Independent Environmental and Agriculture Consultant, P.O.Box 7514, Manzini, Eswatini, M200, Botswana.

Please see the link here: https://stm.bookpi.org/CTAS-V7/article/view/6778

Thursday, 3 June 2021

Local People’s Perceptions of the Sumava National Park in the Czech Republic over a Span of Ten Years (1998-2008) | Chapter 4 | Current Approaches in Science and Technology Research Vol. 2

 The Sumava National Park (NP), Central Europe's largest protected area, is both fascinating and worrisome (historical development, conflicts between regional development and landscape protection). The attitudes of local park residents were surveyed over a ten-year period in order to measure the success of the Park's policies. In August of 1998 and August of 2008, two polls (N = 181 and N = 200) were undertaken. The surveys had 43 questions divided into three categories: (a) socio-demographic data, (b) environment and nature conservation, and (c) sustainable tourism and travel. development of the local area When the results from 1998 and 2008 were compared, the residents of the Park thought that life in the Park was getting better and that the nature conservation strategy was either “optimal” or “stricter.” The most common local concern, according to the studies, is the loss of work possibilities. Subjects were categorized into four opinion groups ranging from "optimists" to "grumblers" in a cluster analysis based on impressions of (a) the Park, (b) the environment, and (c) the Park Administration. The most "positive (optimistic)" group found minimal link between the Park's existence and job losses, whilst the most "negative" group found a big link. The Park management was successful not just in controlling the issue, but also in leveraging it to strengthen the social atmosphere and acceptance of the NP among the residents.

Author (s) Details

Tomas Gorner
Institute for Environmental Studies, Faculty of Science, Charles University, Benatska Street, Prague, 12801, Czech Republic and Agency for Nature Conservation and Landscape Protection of the Czech Republic, Kaplanova Street, Prague, 14800, Czech Republic.

Klara Najmanova
Institute for Environmental Studies, Faculty of Science, Charles University, Benatska Street, Prague, 12801, Czech Republic.

Martin Cihar
Institute for Environmental Studies, Faculty of Science, Charles University, Benatska Street, Prague, 12801, Czech Republic and Czech Environmental Inspectorate, Wolkerova Street 40/11, Prague, 16000, Czech Republic.

View Book : https://stm.bookpi.org/CASTR-V2/article/view/1211