An Inertia Model for the Adoption of New Farming Practices

<p>Nutrient emissions from agricultural land are now widely recognized as one of the key contributors to poor water quality in local lakes, rivers and streams. Nutrient trading for non-point sources, including farm land, has been suggested as a regulatory tool to improve and protect water quality. However, farmers’ attitudes suggest that they are resistant to making the changes required under such a scheme where this requires them to adopt unfamiliar technologies and farm management practices. This study develops a model of farmers’ resistance to change and how this affects their adoption of new mitigation technologies under nutrient trading regulation. We specify resistance as a bound on the adoption of new technologies and allow this bound to relax as farmers’ resistance to change weakens.</p>

An Inertia Model for the Adoption of New Farming Practices

<p>Nutrient emissions from agricultural land are now widely recognized as one of the key contributors to poor water quality in local lakes, rivers and streams. Nutrient trading for non-point sources, including farm land, has been suggested as a regulatory tool to improve and protect water quality. However, farmers’ attitudes suggest that they are resistant to making the changes required under such a scheme where this requires them to adopt unfamiliar technologies and farm management practices. This study develops a model of farmers’ resistance to change and how this affects their adoption of new mitigation technologies under nutrient trading regulation. We specify resistance as a bound on the adoption of new technologies and allow this bound to relax as farmers’ resistance to change weakens.</p>

National Nostalgia and Prostalgia Predict Support toward the Black Lives Matter Movement and Creating a New Normal Following the Pandemic

The Black Lives Matter (BLM) protests and the COVID-19 pandemic are introducing cultural change in the United States. Past research demonstrates that cultural change can be perceived as threatening when compared to cultural stability. Thus, the change brought upon by the BLM protests and the COVID-19 pandemic may be reducing support for the BLM movement and reducing support for creating a new normal after the pandemic (i.e., creating new social norms). Based on the Cultural Inertia Model, we predicted that highlighting the BLM protests and the COVID-19 pandemic as agents of change would hinder support for each agent of change. We also hypothesized that psychological anchors (i.e., national nostalgia) and psychological propellers (i.e., national prostalgia) would serve as individual difference measures that hinder or facilitate support toward the BLM movement and creating a new normal following the pandemic. Our findings demonstrated that highlighting the BLM protests and the pandemic as agents of change did not cause differences in support for the BLM movement or creating a new normal following the pandemic. However, national nostalgia and prostalgia served as individual difference measures that respectively reduced and facilitated support for the BLM movement and the creation of new social norms following the pandemic.

Simplified nonlinear rotational inertia model for the simulation and analysis of the characteristics of an unconventional VAWT type wind turbine with variable pitch

This paper shows a double multiple stream tube model coupling to a rotational inertia model. It allows the simulation and analysis of the characteristics of an unconventional vertical-axis wind turbine (VAWT) with Variable Pitch. This implementation permits to employ a stationary response of the wind turbine calculated across the main characteristics of output torque based on experimental aerodynamic coefficients and the Reynolds at each station, can be transformed into a transient response by a simplified non-linear rotational inertia dynamic model to predict the start-up, idle, stabilization and sudden stop of our device.

Optimal Dispatch of Regional Integrated Heating and Power System Based on Differential Thermal Inertia Model

As the physical carrier of Energy Internet, regional integrated energy system (RIES) has become an important role for improving comprehensive energy utilization efficiency. First, a subtle thermodynamic model of buildings and water-heating network was constructed based on differential thermal inertia model. Different from the traditional single-layer wall thermal inertial model, this paper constructed multi-layer wall thermal model. Then, an optimization scheme combining electricity and heat was established. The optimization results show that, compared with the traditional single-layer wall thermal inertia model, the proposed multi-layer wall thermal inertia model has better performance. The proposed comprehensive energy optimization scheme can reduce the cost of electricity while maintaining indoor comfort, and can provide a reference for the system operation status for distribution network dispatching.

Adaptive attitude-tracking control of spacecraft considering on-orbit refuelling

This paper studies the attitude-tracking control problem of spacecraft considering on-orbit refuelling. A time-varying inertia model is developed for spacecraft on-orbit refuelling, which actually includes two processes: fuel in the transfer pipe and fuel in the tank. Based upon the inertia model, an adaptive attitude-tracking controller is derived to guarantee the stability of the resulted closed-loop system, as well as asymptotic convergence of the attitude-tracking errors, despite performing refuelling operations. Finally, numerical simulations illustrate the effectiveness and performance of the proposed control scheme.

REMOTE SENSING RETRIEVAL OF SOIL MOISTURE IN GUANGXI BASED ON ATI AND TVDI MODELS

In order to further to improve the monitoring accuracy of soil moisture spatial and temporal changes in Guangxi, this paper uses MODIS, Landsat8, ASTER GDEM data and measured relative soil moisture data as data sources. According to the design idea of complementary advantages, the EVI value of Landsat8 image is partitioned, and the relative soil moisture is inverted by ATI model method in the area of EVI≤0.33, and the relative soil moisture is inverted by TVDI model in the area of EVI>0.33. The apparent thermal inertia model (ATI) and the temperature vegetation drought index model (TVDI) was used to invert the relative soil moisture in Guangxi. The results show that the temporal variation of relative soil moisture in the study area in 2017 is the change cycle from rising to falling: the rising period is from January to July, and the falling period is from August to December, in which the relative soil moisture reaches the peak in July. The minimum value are December; the relative soil moisture in the north of Guangxi are generally higher than that in southern Guangxi. The correlation between the relative soil moisture value of the ATI model and the TVDI model partition retrieval and the measured relative soil moisture data is higher, and the relative soil moisture retrieval effects is better.