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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks.
Sci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
View Article and Find Full Text PDFStrong legacies of emerging trends in winter precipitation on the carbon-climate feedback from Arctic tundra.
Sci Total Environ
January 2025
Department of Biological Sciences, University of Illinois at Chicago, Chicago, IL 60607, USA.
Changes in winter precipitation accompanying emerging climate trends lead to a major carbon-climate feedback from Arctic tundra. However, the mechanisms driving the direction, magnitude, and form (CO and CH) of C fluxes and derived climate forcing (i.e.
View Article and Find Full Text PDFDecoupling evolution of water footprint of energy and its driving factors: Evidence from Northeast China.
PLoS One
January 2025
School of Economics and Management, Northeastern Petroleum University, Daqing, China.
Energy and water are interlinked and inseparable resources of vital importance to the survival and development of human society. Exploring the relationship between energy and water is of great practical significance for the sustainable development of resources. The uneven regional distribution of energy and water in China has exacerbated energy-related water shortages.
View Article and Find Full Text PDFVariations in wheat water requirement and climatic causes in arid regions of northwest China.
Environ Monit Assess
January 2025
School of Energy and Power Engineering, Xihua University, No. 9999 Hongguang Street, Chengdu, 610039, Sichuan Province, China.
Analysis of crop water requirement and its influencing factors are important for optimal allocation of water resources. However, research on variations of climatic factors and their contribution to wheat water requirement in Xinjiang is insufficient. In our study, daily meteorological data during 1961‒2017 in Xinjiang was collected.
View Article and Find Full Text PDFLong-term hydrological drought monitoring and trend analysis in Blue Nile River basin.
Heliyon
January 2025
Department of Hydraulics and Water Resource Engineering, Kombolcha Institute of Technology, KioT, Wollo University, Ethiopia.
This research aims to monitor the hydrological drought trends within the geographical confines of Ethiopia, Sudan, and Egypt in the Blue Nile River Basin. Historical drought circumstances in the basin were analyzed through the utilization of the stream flow drought index (SDI). The long-term historical drought trend was investigated via the application of the Mann - Kendall Sen (MK) test.
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