Your search found 4 records
1 Poonia, V.; Goyal, M. K.; Gupta, B. B.; Gupta, A. K.; Jha, S.; Das, J. 2021. Drought occurrence in different river basins of India and blockchain technology based framework for disaster management. Journal of Cleaner Production, 312:127737. (Online first) [doi: https://doi.org/10.1016/j.jclepro.2021.127737]
Drought ; River basins ; Blockchain technology ; Disaster risk management ; Climate change ; Meteorological factors ; Hydrological factors ; Precipitation ; Rain ; Soil moisture ; Vegetation / India
(Location: IWMI HQ Call no: e-copy only Record No: H050475)
(7.94 MB)
Drought assessment is crucial to mitigate its adverse impact, especially in India, where risk is more due to an increase in population and climate change. However, most of the studies deal with one or a couple of droughts and lack the interrelationship between all major drought types. The study investigates the spatio-temporal distribution of multiple drought types, individually and concurrently in India. Further drought trend analysis is performed based on their mean duration, mean spatial extent, and frequency. Moreover, the drought evolution process which explains the evolution of drought type into another type is also examined. Finally, a blockchain-based framework is proposed to improve the current drought risk management system to facilitate the drought fatalities to get their help and aid as soon as possible. Results demonstrate that hydrological and soil moisture droughts are observed to be more influential as compared to the other two drought types in most of the river basins of India. Further, it was found that 82% of concurrent droughts involve soil moisture drought in 16 out of 25 river basins. The present study facilitates a novel method to investigate drought from several perspectives over India, thus helps to provide important information for drought mitigation and adaptation strategies.
2 Liu, Y.; Shang, C. 2022. Application of blockchain technology in agricultural water rights trade management. Sustainability, 14(12):7017. (Special issue: Sustainable Water Resources Technology and Management) [doi: https://doi.org/10.3390/su14127017]
Water rights ; Agriculture ; Blockchain technology ; Trade ; Water resources ; Sustainability ; Irrigation ; Decentralization ; Autonomous organization
(Location: IWMI HQ Call no: e-copy only Record No: H051197)
https://www.mdpi.com/2071-1050/14/12/7017/pdf?version=1654679826
https://vlibrary.iwmi.org/pdf/H051197.pdf
https://vlibrary.iwmi.org/pdf/H051197.pdf
(2.33 MB) (2.33 MB)
Water is a basic and essential natural resource, and its rational allocation plays a key role in environmental and economic sustainable development. Agriculture consumes a large share of water resources, but the allocation of water rights often deviates from water use in reality. Therefore, an appropriate management method for agricultural water rights trading is needed. In this paper, blockchain technology is applied to address the agricultural water rights trading issue. Firstly, an alliance chain and the practical Byzantine fault tolerance (PBFT) consensus mechanism are adopted to support a smart contract and application. Then, a trading platform based on blockchain for agricultural water rights trading is proposed. Finally, the role and function of a decentralized autonomous organization (DAO) in a self-financing irrigation drainage district (SIDD) are clarified. This study provides a secure and stable platform which can reduce the trading confirmation time and support numerous users. The trading process of agricultural water rights is updated to minimize the cost of water rights’ transactions and improve the system’s efficiency.
3 David, L. O.; Nwulu, N. I.; Aigbavboa, C. O.; Adepoju, O. O. 2022. Integrating fourth industrial revolution (4IR) technologies into the water, energy & food nexus for sustainable security: a bibliometric analysis. Journal of Cleaner Production, 363:132522. (Online first) [doi: https://doi.org/10.1016/j.jclepro.2022.132522]
Industrialization ; Technology ; Water security ; Energy ; Food security ; Nexus approaches ; Bibliometric analysis ; Economic growth ; Sustainability ; Artificial intelligence ; Blockchain technology ; Robots ; Urban planning
(Location: IWMI HQ Call no: e-copy only Record No: H051272)
(3.05 MB)
The technologies of the fourth Industrial Revolution (4IR/Industry 4.0) have been a technological catalyst for all fields of human endeavor, permeating the water, energy, and food (WEF) nexus. However, there is no empirical evidence of the extent of applications and the permeability level in ensuring the three resources’ security. This study explored the relationship of the fourth industrial revolution technologies and the water, energy, and food nexus by evaluating the applications of the various technologies of 4IR on WEF nexus and examined the effect of 4IR on WEF nexus. The objectives were achieved using the qualitative methodology and bibliometric analysis of content analysis. The result showed that most fourth industrial revolution technologies had not been integrated with the WEF nexus. The result showed that only the Internet of Things (IoT) and Big Data analytics had permeated the nexus, which shows that data of the resources will be the foundation of the nexus. The systematic collection, accuracy of data, and empirical analysis of data will determine the level of security of WEF nexus.
The qualitative results show that there are applications of the fourth industrial revolution technologies to the individual sectors of the nexus, birthing Water 4.0, Energy 4.0, and Food 4.0. The Bibliometric analysis result shows that the integration of the fourth industrial revolution with the WEF nexus will lead to cleaner production practices relating to the technological processes of water, energy, and food resources. These practices will ensure the environment's safety from WEF wastes and the water, energy, and food security in production processes. The empirical research and bibliometric analysis result, rooted in the concept of cleaner production, shows that the fourth industrial revolution affected the WEF nexus. The effects are; the birth of clean technologies & industrial applications, the catalyst for sustainability security of WEF nexus leveraging on life cycle thinking, enablement of technological transfer, enhancement of economic growth, and urban planning. The study concludes that the fourth industrial revolution technologies affect WEF nexus, ensuring the popularization of cleaner production strategies and processes of the resources during trade-offs and synergies. The study recommends the integration of a cleaner production concept in WEF processing. It should follow the innovation diffusion theory (IDT) and Technology acceptance theory (TAM) when applying 4IR technologies to the nexus of water, energy, and food resources, for their sustainable security.
The qualitative results show that there are applications of the fourth industrial revolution technologies to the individual sectors of the nexus, birthing Water 4.0, Energy 4.0, and Food 4.0. The Bibliometric analysis result shows that the integration of the fourth industrial revolution with the WEF nexus will lead to cleaner production practices relating to the technological processes of water, energy, and food resources. These practices will ensure the environment's safety from WEF wastes and the water, energy, and food security in production processes. The empirical research and bibliometric analysis result, rooted in the concept of cleaner production, shows that the fourth industrial revolution affected the WEF nexus. The effects are; the birth of clean technologies & industrial applications, the catalyst for sustainability security of WEF nexus leveraging on life cycle thinking, enablement of technological transfer, enhancement of economic growth, and urban planning. The study concludes that the fourth industrial revolution technologies affect WEF nexus, ensuring the popularization of cleaner production strategies and processes of the resources during trade-offs and synergies. The study recommends the integration of a cleaner production concept in WEF processing. It should follow the innovation diffusion theory (IDT) and Technology acceptance theory (TAM) when applying 4IR technologies to the nexus of water, energy, and food resources, for their sustainable security.
4 Mia, Md. U.; Rahman, M.; Elbeltagi, A.; Abdullah-Al-Mahbub, Md.; Sharma, G.; Islam, H. M. T.; Pal, S. C.; Costache, R.; Towfiqul Islam, A. R. Md.; Islam, Md. M.; Chen, N.; Alam, E.; Washakh, R. M. A. 2022. Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology. Geocarto International, 30p. (Online first) [doi: https://doi.org/10.1080/10106049.2022.2112982]
Flooding ; Risk assessment ; Disaster risk management ; Machine learning ; Blockchain technology ; Neural networks ; Sustainable development ; Floodplains ; Rain ; Forecasting ; Datasets ; Mapping ; Normalized difference vegetation index ; Models / Bangladesh / Brahmaputra River / Jamalpur / Gaibandha / Kurigram / Bogra
(Location: IWMI HQ Call no: e-copy only Record No: H051339)
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2112982
https://vlibrary.iwmi.org/pdf/H051339.pdf
https://vlibrary.iwmi.org/pdf/H051339.pdf
(5.41 MB) (5.41 MB)
The couplings of convolutional neural networks (CNN) with random forest (RF), support vector machine (SVM), long short-term memory (LSTM), and extreme gradient boosting (XGBoost) ensemble algorithms were used to construct novel ensemble computational models (CNN-LSTM, CNN-XG, CNN-SVM, and CNN-RF) for flood hazard mapping in the monsoon-dominated catchment, Bangladesh. The results revealed that geology, elevation, the normalized difference vegetation index (NDVI), and rainfall are the most significant parameters in flash floods based on the Pearson correlation technique. Statistical method such as the area under the curve (AUC) was used to evaluate model performance. The CNN-RF model could be a promising tool for precisely predicting and mapping flash floods as it is outperformed the other models (AUC = 1.0). Furthermore, to meet sustainable development goals (SDGs), a blockchain-based technology is proposed to create a decentralized flood management tool for help seekers and help providers during and post floods. The suggested tool accelerates emergency rescue operations during flood events.
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