Relations among Pro-Environmental Behavior, Environmental Knowledge, Environmental Perception, and Post-Materialistic Values in China

During the economic boom, China’s government was mainly concerned with economic development; however, numerous environmental problems have arisen. Evidence suggests that Chinese individuals’ pro-environmental behavior (PEB) is at a low level in Asia. However, it does not match their high-quality environmental knowledge. In this paper, the database of the Chinese General Social Survey was used to explore the correlation between environmental knowledge and PEB in a broader context. Subsequently, environmental perception and post-materialistic values (PMV) were taken as the mediator and moderator into structural equation modeling, and every variable kept robust and consistent through exploratory factor analysis. The empirical results indicated that: (i) individuals with higher environmental knowledge always show higher passion to PEB; (ii) environmental perception plays a partially mediating role between environmental knowledge and PEB; (iii) PMV moderate the formation of environmental behavior systematically; and (iv) compared with public counterpart, the relation between environmental knowledge and PEB is significantly higher in private environmental behavior. The study results could become the basis for the Chinese government and environmental NGOs to effectively spread environmental knowledge, advocate a post-materialistic lifestyle, and improve the authenticity of online media reports on environmental issues.

Environmental Perception Q-Learning to Prolong the Lifetime of Poultry Farm Monitoring Networks

The reduction of the effects of heat-stress phenomena on poultry health and energy conservation of poultry farm monitoring networks are highly related problems. To address these problems, we propose environmental perception Q-learning (EPQL) to prolong the lifetime of poultry farm monitoring networks. EPQL consists of an environmental-perception module and Q-learning. According to the temperature and humidity model of heat stress, an environmental-perception module determines the transmission rate, while Q-learning adjusts the transmission rate according to the success rate of packet transmission and the remaining energy. In real-world tests, our poultry farm monitoring networks used only about 8% of energy in a month. The real-time information of these monitoring networks was available on smartphones. In laboratory tests, compared with CSMA/CA (23.67 days), S-MAC (109.37 days), and T-MAC (252.79 days) under real systems with 2000 mAh battery, the battery-life performance of EPQL (436.48 days) was better. Moreover, EPQL reduces the packet loss rate by about 60% while simultaneously decreasing the average delay by about 20%. Generally, based on the framework of EPQL, the implemented temperature and humidity model of heat stress for poultry could be replaced by other models to extend its applicability range.

Perceptions about marine environmental issues by citizens who are mostly from Minas Gerais state (Brazil)

Despite the marine ecosystems’ importance, the anthropogenic actions have been impacting these environments negatively. However, these impacts could be mitigated through Environmental Education (EE), which is able to change behaviors that are harmful to the environment. This study aimed to describe environmental perception of the majority population in Minas Gerais state, in order to provide subsidies for marine environmental education's promotion. The methodology adopted was through questionnaire's application via Google forms. The studied subjects totaled 122 people over 18 years old, although they had conceptual domain, they showed an utilitarian tendency about marine resources.

Probabilistic Membrane Computing-Based SLAM for Patrol UAVs in Coal Mines

Patrol unmanned aerial vehicles (UAVs) in coal mines have high requirements for environmental perception. Because there are no GPS signals in a mine, it is necessary to use simultaneous localization and mapping (SLAM) to realize environmental perception for UAVs. Combined with complex coal mine environments, an integrated navigation algorithm for unmanned helicopter inertial measurement units (IMUs), light detection and ranging (LiDAR) systems, and depth cameras based on probabilistic membrane computing-based SLAM (PMC-SLAM) is proposed. First, based on an analysis of the working principle of each sensor, the mathematical models for the corresponding sensors are given. Second, an algorithm is designed for the membrane, and a probabilistic membrane system is constructed. The probabilistic SLAM map is constructed by sparse filtering. The experimental results show that PMC can further improve the accuracy of map construction. While adapting to the trend of intelligent precision mining in coal mines, this approach provides theoretical support and application practice for coal mine disaster prevention and control.

Research on Public Environmental Perception of Emotion, Taking Haze as an Example

Ecological and environmental problems have become increasingly prominent in recent years. Environmental problems represented by haze have become a topic that affects the harmonious ecology of human beings. The trend of this topic is on the rise. People’s perception of the environment after the impact of haze has also changed. A real-time grasp of the dynamic public environment perception of emotions is often an important basis for environmental management departments to effectively solve environmental problems through public opinion. This article focuses on the problem of the public perception of emotional changes, which is caused by fog and hazy weather, proposes an environmental emotion perception model, using Weibo comment data about fog and haze as environmental perception data, and analyzes the impact of fog and haze on the public in four seasonal time dimensions. The post-environment perception of emotion changes: the results show that in spring, the public’s environmental perception of emotions is mainly negative emotions at the beginning of the season; in summer, positive emotions become dominant emotions; in autumn, the public’s environmental perception of emotions is dominated by negative emotions that increase substantially; and in winter, the dominant environmental perception of emotions of the public is still negative. This theory provides support for research on social emotions and public opinion behavior.

Assessing Perceptions and Practices of Environmental Problems: Bahir Dar City, in Ethiopia, in Focus

The main purpose of this study was to see the level of environmental perception and perceived environmental practices. It also addressed the correlations among demographic factors, awareness and perceived behaviors. Besides, how gender difference, if any, revealed on people’s perception and practice was checked. Fifty participants selected randomly from different working sites (such as football field, shopping centers, and public library) were administered a likert scale questionnaire on perceptions and practices of environmental issues. The descriptive statistics revealed fairly higher level of environmental perception and practices. Correlation coefficients revealed little sign of connection between what the participants perceived about environmental problems and what environmental activities they reported. Besides, insignificant differences between men and women were observed on both their perceptions and pro-environmental behaviors. Therefore, the role background and gender related variables play for pro-environmental issues seemed to be re-examined for a more elaborated explanation on environmental perception and behaviors.