Conceptualization of Farmers’ Water Conservation Intention and Behavior through the Lens of Economic Man Worldview: Application of Structural Equation Modeling

Water, Journal Year: 2023, Volume and Issue: 15(18), P. 3199 - 3199

Published: Sept. 8, 2023

Although different worldviews have been presented to analyze the conservation behaviors of farmers, limited empirical evidence exists for use economic man worldview farmers’ water (WCBs). Therefore, conceptualization behavioral intentions through lens this was primary objective survey. To aim, extended planned behavior theory (PBT), which is main worldview, employed. The study population 36183 Iranian 380 whom were interviewed in-person in form a cross-sectional survey research design. An estimation sample size performed via Krejcie and Morgan Table. Moreover, distribution carried out by multi-stage random sampling method. Validity reliability, are undeniable features questionnaires social psychological sciences, examined using quantitative qualitative indices. obtained results indicated that effect intention towards (IWC) on WCB positive significant. supports assumption PBT worldview. However, according results, power IWC’s not very In addition, variance explanation as fundamental dependent variable high. It can be mentioned has relative moderate WCBs farmers. Hence, it suggested some variables, including moral norms, environmental concerns, values, used develop increase explanatory future studies. This first applicability approach analyzing WCBs. could open new window interested researchers conduct successful interventions field conservation.

Language: Английский

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Beyond Traditional Metrics: Exploring the Potential of Hybrid Algorithms for Drought Characterization and Prediction in the Tromso Region, Norway

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7813 - 7813

Published: Sept. 3, 2024

Meteorological drought, defined as a decrease in the average amount of precipitation, is among most insidious natural disasters. Not knowing when drought will occur (its onset) makes it difficult to predict and monitor it. Scientists face significant challenges accurately predicting monitoring global droughts, despite using various machine learning techniques indices developed recent years. Optimization methods hybrid models are being overcome these create effective policies. In this study, analysis was conducted The Standard Precipitation Index (SPI) with monthly precipitation data from 1920 2022 Tromsø region. Models different input structures were created obtained SPI values. These then analyzed Adaptive Neuro-Fuzzy Inference System (ANFIS) by means optimization methods: Particle Swarm (PSO), Genetic Algorithm (GA), Grey Wolf (GWO), Artificial Bee Colony (ABC), PSO Support Vector Machine (SVM-PSO). Correlation coefficient (r), Root Mean Square Error (RMSE), Nash–Sutcliffe efficiency (NSE), RMSE-Standard Deviation Ratio (RSR) served performance evaluation criteria. results study demonstrated that, while successful all commonly used algorithms except for ANFIS-GWO, best values SPI12 achieved ANFIS-ABC-M04, exhibiting r: 0.9516, NSE: 0.9054, RMSE: 0.3108.

Language: Английский

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Development of the artificial neural network’s swarm-based approaches predicting East Azerbaijan landslide susceptibility mapping

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 22, 2023

Language: Английский

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Four Optimization Meta-heuristic Approaches in Evaluating Groundwater Quality (Case study: Shiraz Plain)

Iranian Journal of Science and Technology Transactions of Civil Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: June 20, 2024

Language: Английский

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Modeling the total hardness (TH) of groundwater in aquifers using novel hybrid soft computing optimizer models

Environmental Earth Sciences, Journal Year: 2024, Volume and Issue: 83(13)

Published: June 12, 2024

Language: Английский

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