Global Change Issues Research Articles

The impact of customer pressure and the environmental regulation on green innovation performance

In recent years, global climate change and environmental issues have become the serious attention of many parties. This is due to the growing awareness of customers, government and communities as the parties who are related to degradation of natural resources and environmental pollution matters. Firms encounter various external pressures, including consumer pressure and environmental regulation, so that they have to implement some environmentally friendly practices to achieve sustainable development, such as green innovation. The purpose of this study is to examine the impact of consumer pressure on green innovation performance and the role of moderating environmental regulation in this relationship. The conceptual model was verified using partial least square (PLS). Data was obtained from 80 food sector SMEs in Batu, East Java-Indonesia. The results show that customer pressure has a significant positive effect on green innovation performance. Likewise, environmental regulations have a significant positive effect on the relationship between customer pressure and green innovation performance. These results offer important implications on how the companies are more concerned about improving green innovation.

Developing Eco-Friendly and Cost-Effective Porous Adsorbent for Carbon Dioxide Capture.

To address the issue of global warming and climate change issues, recent research efforts have highlighted opportunities for capturing and electrochemically converting carbon dioxide (CO2). Despite metal doped polymers receiving widespread attention in this respect, the structures hitherto reported lack in ease of synthesis with scale up feasibility. In this study, a series of mesoporous metal-doped polymers (MRFs) with tunable metal functionality and hierarchical porosity were successfully synthesized using a one-step copolymerization of resorcinol and formaldehyde with Polyethyleneimine (PEI) under solvothermal conditions. The effect of PEI and metal doping concentrations were observed on physical properties and adsorption results. The results confirmed the role of PEI on the mesoporosity of the polymer networks and high surface area in addition to enhanced CO2 capture capacity. The resulting Cobalt doped material shows excellent thermal stability and promising CO2 capture performance, with equilibrium adsorption of 2.3 mmol CO2/g at 0 °C and 1 bar for at a surface area 675.62 m2/g. This mesoporous polymer, with its ease of synthesis is a promising candidate for promising for CO2 capture and possible subsequent electrochemical conversion.

Green areas mapping of Telkom University as a support towards green campus

Environmental problems are the main thing and great concern given the issue of global warming and climate change is no longer just an issue but has become a fact. That is what makes the concept of green campus where the role of universities to help raise awareness and take part in reducing global warming. Efforts to set up a green campus should not only start with planting trees around the campus area or just protecting the environment by banning smoking or littering. But environmental design is one of the processes in realizing a green campus. Therefore, the first stage of environmental design is made to meet these needs. The purpose of this study is to map the environment within Telkom University campus using the aerial photographic approach like drones to collect visual data and observation as the design process in environmental design. The results obtained in this study are a map of Telkom University and the surrounding environment that can be used as observation data and visual data in developing the campus environment. This mapping is a process and a first stage in the development and design of Telkom University as a green campus. For further developments, campus mapping can be used as a reference in seeing environmental design so that the next process can be determined with visual data on campus mapping.

Bio-coated surfaces with micro-roughness and micro-porosity: Next generation coatings for enhanced energy efficiency

Due to growing cooling demands as well as emerging global warming and climate change issues, cooling systems should be more efficiently utilized. Boiling is an effective heat transfer mechanism, which has a critical role in many cooling systems. Surface modification is considered as the major approach for boiling heat transfer enhancement. In this study, we developed a microbial bio-coating surface modification technique for phase change cooling applications. Thermoacidophilic Sulfolobus solfataricus coating was implemented using a facile dip coating method on different metallic and non-metallic surfaces. Controlled by drying conditions, the coating exhibited rough and porous morphologies. When tested in a boiling heat transfer setup, bio-coated surfaces offered enhancements up to 76.3% in Critical Heat Flux (CHF). Next, a miniature evaporator was coated and tested for real-world air-conditioning applications, and coefficient of performance (COP) enhancements up to 11% clearly revealed the potential of bio-coated surfaces for energy saving purpose and reduction in greenhouse gasses. Furthermore, coated evaporators reduced the exergy destruction rate up to 8%. This study not only offers a new type of coating morphology, but the applicability of the proposed bio-coating is also proven in a miniature air conditioning system.

Development of process performance simulator (PPS) and parametric optimization for sustainable machining considering carbon emission, cost and energy aspects

The manufacturing industries consume one-third of global energy. Intensive use of electrical energy in industries provides the researchers and experts strong reasons to develop and propose strategies to minimize energy consumption. Evidently, the advanced technologies such as nanofluid minimum quantity lubrication in machining and process optimization accompanied by holistic models can eliminate the use of conventional fluids to reduce production cost and to cope up with environmental issues of global warming and climate change. This study investigates the holistic analysis of four metrics, i.e., surface quality, energy, cost, and carbon emission that influence the impact of the machining process on the environment of China. Al2O3 based nanofluid was prepared and used in the external turning of Haynes 25 alloys to improve the machining and to promote sustainability. Multi-objective optimization was performed to find out a trade-off relation for product quality, energy consumption and production cost. Results showed that the minimum levels of energy consumption and carbon emission were obtained at the high levels of feed rate and cutting speed. The Carbon Emission Factors (CEF) of used resources have the most significant effects on CO2 emissions. Furthermore, the feed rate was found to be the most significant parameter on the machining performance indices. The application of nanoparticles helped to reduce the cutting energy and CO2 emission, which are proportional to electricity consumption. A holistic component activity-based cost model was developed, and it was noted that the overhead and workpiece cost shared more than 95% of the total cost. Multi-objective optimization reduced specific energy by 18.10%, carbon emission by 22.17% and product cost by 16.25%. Moreover, the present study deals with 3E, i.e., Energy, Environment, and Economy. The optimum cutting parameters obtained from the concept of 3E at the machine shop level can significantly improve efficiency of nanofluid MQL assisted machining (NFMQL) process, reduce cost per unit of product, and achieve the low carbon manufacturing goal.

基于遥感总初级生产力的天山-塔里木绿洲地区生态系统脆弱性研究

生态系统的脆弱性是全球气候变化与可持续发展研究的核心问题，测定与评价脆弱性对认识生态系统的结构与功能至关重要。天山-塔里木绿洲地区包含着山地、荒漠和绿洲等多种类型的生态系统，存在着多个不同生态类型的交界过渡区。为定量评价该地区生态脆弱性，以植被总初级生产力这一生态系统重要的功能性指标为基础，对该地区生态系统脆弱性进行了计算和分级（不脆弱、轻度脆弱、中度脆弱、重度脆弱和极度脆弱），并对研究区生态系统脆弱性的空间分布特征及其与环境因子的关系进行了分析与讨论。结果表明：（1）研究区生态系统脆弱性总体上表现出明显的空间分化格局，以中度和重度脆弱为主，极度脆弱的地区主要分布在南部的塔里木绿洲。（2）生态系统脆弱等级大体上随着区域内多年平均温度的升高而升高。受地表水灌溉的影响，生态系统脆弱性与降水量间并无明显趋势性规律。（3）研究区的生态系统脆弱等级随着区域内的平均海拔以及平均坡度的升高都呈现下降的趋势。受自然条件恶劣、过度放牧以及农田过度开垦的影响，目前该地区总体呈现脆弱性严重的状态。研究表明该地区应积极开展生态治理工作，合理规划生态功能关键区，保护好现有草原和湿地等易开垦地区，划定绿洲开发范围的"红线"，限制农田的开垦，协调好塔里木河流域的水资源分配。研究为使用卫星遥感数据研究生态系统脆弱性提供了方法上的参考，为可持续发展和生态治理提供了科学依据。;Ecosystem vulnerability is a core issue of global climate change and sustainable development research. Measuring and evaluating of vulnerability are essential for understanding the structure and function of ecosystems. Tianshan-Tarim Oasis contains multiple types of ecosystems such as mountain, desert and oasis, and there are many ecotones between different ecological types. Gross primary productivity (GPP) of vegetation, which is the total amount of carbon uptake by vegetation photosynthesis, is an important functional indicator of terrestrial ecosystem. GPP is not only an important index to measure the health status of ecosystem, but also a result of comprehensive effects of the environmental limiting factors on ecosystem. The fluctuation of vegetation productivity can also be used as an indicator to measure the vulnerability of ecosystem. In this study, GPP products with a spatial resolution of 1 km retrieved from Moderate-resolution Imaging Spectroradiometer (MODIS) were chosen to calculate and evaluate the ecosystem vulnerability of the study area. Based on vegetation productivity, the vulnerability of the study area is calculated and classified into not vulnerable, mild vulnerable, moderate vulnerable, severe vulnerable, and extreme vulnerable. The spatial distribution characteristics of ecosystem vulnerability and its relationship with environmental factors were also analyzed and discussed. The results showed that:(1) the ecosystem vulnerability of the study area presented an obvious spatial differentiation pattern on the whole, with moderate and severe vulnerability as the main feature, and the extremely vulnerable areas were mainly distributed in the southern Tarim Oasis; (2) the vulnerability of the ecosystem generally increased with the rise of the mean annual temperature in the region. Affected by surface water irrigation, there was no obvious trend between ecosystem vulnerability and precipitation; (3) the vulnerability of the ecosystem in the study area indicated a downward trend with the increase of the average altitude and the average slope in the area. Due to harshly natural conditions, overgrazing and over-exploitation of farmland, the area currently showed a state of serious vulnerability. Therefore, the ecological governance should be actively carried out, the key areas of ecological functions should be rationally planned, grassland, wetland and other easy-to-reclaim areas should be protected, the red line of the scope of oasis development should be delineated, farmland reclamation should be restricted, and the distribution of water resources in the Tarim River Basin should be coordinated. This study provides a methodological reference for using satellite remote sensing data to study the vulnerability of ecosystems, and provides a scientific evidence for sustainable development and ecological governance.

Intelligent Controllers and Optimization Algorithms for Building Energy Management Towards Achieving Sustainable Development: Challenges and Prospects

Buildings account for a significant amount of energy consumption leading to the issues of global emissions and climate change. Thus, energy management in a building is increasingly explored due to its significant potential in reducing the overall electricity expenses for the consumers and mitigating carbon emissions. In line with that, the greater control and optimization of energy management integrated with renewable energy resources is required to improve building energy efficiency while satisfying indoor environment comfort. Even though actions are being taken to reduce the energy consumption in buildings with several optimization and controller techniques, yet some issues remain unsolved. Therefore, this work provides a comprehensive review of the conventional and intelligent control methods with emphasis on their classification, features, configuration, benefits, and drawbacks. This review critically investigates the different optimization objectives and constraints with respect to comfort management, energy consumption, and scheduling. Furthermore, the review outlines the different methodological approaches to optimization algorithms used in building energy management. The contributions of controller and optimization in building energy management with the relation of sustainable development goals (SDGs) are explained rigorously. Discussions on the key challenges of the existing methods are presented to identify the gaps for future research. The review delivers some effective future directions that would be beneficial to the researchers and industrialists to design an efficiently optimized controller for building energy management toward targeting SDGs.

Deterioration of HAZ toughness by residual Sn and Determination of its Allowable Content for Electric Furnace Steels

One promising direction in steelmaking to respond to global climate change issue is to increase the use of electric furnace manufacturing methods using zero-carbon electricity, which have received more and more attention recently. Considering the replacement from blast furnace steel, the temper embrittlement problem induced by some tramp elements, which is unique behavior for electric furnace methods, must be resolved.Sn is considered as a tramp element that cannot be removed in steel refining process, and it has been reported that the toughness of the base metal and the welded heat affected zone can be significantly degraded. In the case of electric furnace steels with degraded toughness, segregation of Sn is observed at grain boundaries and the resulting fracture mode shifts to intergranular fracture mode. In this study, in order to quantify the allowable amount of Sn added to thick steel plates that is used for large-heat input welding, experiments were conducted on specimens with different amounts of Sn and heat-treated for different holding times at 400℃, which is a typical embrittlement temperature and investigated the effect of the amount of Sn on the change in low-temperature fracture toughness. As a result of fracture toughness tests, clear evidence of temper embrittlement was observed. Apart from previous famous study by McMahon, there was no intergranular fracture in fracture surface but transgranular and cleavage fracture was observed. Therefore, the mechanism by which Sn tends to cause cleavage fracture in the weld heat affected zone was proposed. Based on our newly proposed mechanism, a model was developed to estimate the transition temperature change for various conditions of tempering time, tempering temperature and Sn content.Finally, the authors propose allowable maximum content of Sn based on the model for the establishment of the rational ore sorting system from scraps in near future society.

Environmental Physics: An Introduction

Physics is essential for understanding natural phenomena. It provides a basis for understanding the impact of humans on the environment. This understanding is essential for environmental stewardship. Environmental physics is essentially the applications of the principles of physics to environmental processes and problems. Environmental physicists use the principles and techniques of physics to study the earth’s environment. They have made significant contributions to understanding global climate change and other environmental issues. This paper provides an introduction to environmental physics.

The Role of Water Supply Development in the Earth System

The ANEMI model is an integrated assessment model of global change that emphasizes the role of water resources. Securing water resources for the future is a key issue of global change and ties into global systems of population growth, climate change carbon cycle, hydrologic cycle, economy, energy production, land use and pollution generation. The focus of the presented work is on the development of global water supplies necessary to keep pace with a growing population and global economy. With the structure of the ANEMI model, a series of experiments are conducted in order to assess: (i) the current role of water supply in the global Earth system; (ii) the level of water stress that can be expected in the future; and (iii) what are the potential effects of water quality on global surface water supply and the distribution of water supply types. The results of model simulations show that surface water resources were sufficient to meet the water demand and water quality is not shown to be a significant factor for the development of surface water supplies. Due to globally aggregated scale, these impacts are averaged and likely understated.

Sheet Type All-Solid-State Batteries with Sulfide Electrolyte

Lithium ion batteries have received great attention due to emerging electric vehicle market to suppress global climate change issues. Batteries with higher energy density is required to improve driving distance of electric vehicle. As energy density increase, safety become more important point to prevent unexpected accident. Safety issues of current lithium ion battery system mainly comes from the oxide cathode and flammable organic electrolyte. All solid state batteries with non-flammable inorganic solid electrolytes come into the limelight due to its potential for securing higher energy density and safe characteristics over current lithium ion battery system.In this study, composite electrode sheet and cell fabrication technology was examined by slurry mixing coating technique. Cathode electrode sheets were obtained by coating slurries consisting of LiNi0.8Co0.1Mn0.1O2 as the active material, an argyrodite structure Li6PS5Cl solid electrolyte, conductive carbon, butadiene-based binder with solvent on carbon coated aluminum foil as the current collector. Homogeneous mixing and coating conditions were examined by controlling composition, kinds of binder in order to achieve optimal conduction pathway of lithium ion and electron. All solid state batteries were fabricated and evaluated both half-cell and full-cell type. Electrochemical tests were investigated and the detailed results will be discussed in this presentation.

Layered Double Hydroxide (LDH) Based Photocatalysts: An Outstanding Strategy for Efficient Photocatalytic CO2 Conversion

CO2 conversion to solar fuels/chemicals is an alluring approach for narrowing critical issues of global warming, environmental pollution, and climate change, caused by excess atmospheric CO2 concentration. Amongst various CO2 conversion strategies, photocatalytic CO2 conversion (PCC) is considered as a promising approach, which utilizes inexpensive sunlight and water with a photocatalyst material. Hence, development of an efficient and a stable photocatalyst is an essential activity for the respective scientific community to upscale the PCC research domain. Until today, metal oxides, such as TiO2, ZnO, etc., are categorized as standard photocatalysts because of their relative stability, abundant availability and low cost. However, their performance is tethered by limited light absorption and somewhat physical properties. Recently, layered double hydroxides (LDHs) have offered an exciting and efficient way for PCC due to their superb CO2 adsorption and moderate photocatalytic properties. The LDH based photocatalysts show marvelous physiochemical and electrical properties like high surface area, stability, and excellent conductivity. In the present review article, a summarized survey is portrayed regarding latest development for LDH based photocatalysts with a focus on synthesis strategies employing various photocatalyst materials, influencing parameters and possible mechanism involved in PCC to useful fuels and chemicals like CO, CH4, CH3OH, and H2.

OH and HO<sub>2</sub> radical chemistry in a midlatitude forest: measurements and model comparisons

Abstract. Reactions of the hydroxyl (OH) and peroxy (HO2 and RO2) radicals play a central role in the chemistry of the atmosphere. In addition to controlling the lifetimes of many trace gases important to issues of global climate change, OH radical reactions initiate the oxidation of volatile organic compounds (VOCs) which can lead to the production of ozone and secondary organic aerosols in the atmosphere. Previous measurements of these radicals in forest environments characterized by high mixing ratios of isoprene and low mixing ratios of nitrogen oxides (NOx) (typically less than 1–2 ppb) have shown serious discrepancies with modeled concentrations. These results bring into question our understanding of the atmospheric chemistry of isoprene and other biogenic VOCs under low NOx conditions. During the summer of 2015, OH and HO2 radical concentrations, as well as total OH reactivity, were measured using laser-induced fluorescence–fluorescence assay by gas expansion (LIF-FAGE) techniques as part of the Indiana Radical Reactivity and Ozone productioN InterComparison (IRRONIC). This campaign took place in a forested area near Indiana University's Bloomington campus which is characterized by high mixing ratios of isoprene (average daily maximum of approximately 4 ppb at 28 ∘C) and low mixing ratios of NO (diurnal average of approximately 170 ppt). Supporting measurements of photolysis rates, VOCs, NOx, and other species were used to constrain a zero-dimensional box model based on the Regional Atmospheric Chemistry Mechanism (RACM2) and the Master Chemical Mechanism (MCM 3.2), including versions of the Leuven isoprene mechanism (LIM1) for HOx regeneration (RACM2-LIM1 and MCM 3.3.1). Using an OH chemical scavenger technique, the study revealed the presence of an interference with the LIF-FAGE measurements of OH that increased with both ambient concentrations of ozone and temperature with an average daytime maximum equivalent OH concentration of approximately 5×106 cm−3. Subtraction of the interference resulted in measured OH concentrations of approximately 4×106 cm−3 (average daytime maximum) that were in better agreement with model predictions although the models underestimated the measurements in the evening. The addition of versions of the LIM1 mechanism increased the base RACM2 and MCM 3.2 modeled OH concentrations by approximately 20 % and 13 %, respectively, with the RACM2-LIM1 mechanism providing the best agreement with the measured concentrations, predicting maximum daily OH concentrations to within 30 % of the measured concentrations. Measurements of HO2 concentrations during the campaign (approximately a 1×109 cm−3 average daytime maximum) included a fraction of isoprene-based peroxy radicals (HO2*=HO2+αRO2) and were found to agree with model predictions to within 10 %–30 %. On average, the measured reactivity was consistent with that calculated from measured OH sinks to within 20 %, with modeled oxidation products accounting for the missing reactivity, however significant missing reactivity (approximately 40 % of the total measured reactivity) was observed on some days.

Application of Computational Fluid Dynamic Simulation for the Study of Heat Stress and Heat Strain - A Review

The study on heat stress and heat strain has been conducted since early 20th century. However, in the current years, it attracts an increase of attention around the world mainly due to the global climate change issues. Traditionally, there are two main approaches in the study of heat stress and heat strain which are the climatic chamber studies and the field studies. But, with the recent development in the computational fluid dynamic (CFD) simulation, the researchers shift toward this approach as a new method for the study of heat stress and heat strain. Climatic chamber can be simulated with various environmental parameters such as air flow and heat transfer while a manikin is used to identify the effects of these parameters. In this study, recent developments of the CFD simulation for the study of heat stress and heat strain for indoor environment are reviewed while their methodology and results are compared. The discussions that will be presented in this work will focus on the various CFD techniques and its significance as a new method for the study of heat stress and heat strain.

Hybrid Deep Learning Algorithm with Open Innovation Perspective: A Prediction Model of Asthmatic Occurrence

Due to recent advancements in industrialization, climate change and overpopulation, air pollution has become an issue of global concern and air quality is being highlighted as a social issue. Public interest and concern over respiratory health are increasing in terms of a high reliability of a healthy life or the social sustainability of human beings. Air pollution can have various adverse or deleterious effects on human health. Respiratory diseases such as asthma, the subject of this study, are especially regarded as ‘directly affected’ by air pollution. Since such pollution is derived from the combined effects of atmospheric pollutants and meteorological environmental factors, and it is not easy to estimate its influence on feasible respiratory diseases in various atmospheric environments. Previous studies have used clinical and cohort data based on relatively a small number of samples to determine how atmospheric pollutants affect diseases such as asthma. This has significant limitations in that each sample of the collections is likely to produce inconsistent results and it is difficult to attempt the experiments and studies other than by those in the medical profession. This study mainly focuses on predicting the actual asthmatic occurrence while utilizing and analyzing the data on both the atmospheric and meteorological environment officially released by the government. We used one of the advanced analytic models, often referred to as the vector autoregressive model (VAR), which traditionally has an advantage in multivariate time-series analysis to verify that each variable has a significant causal effect on the asthmatic occurrence. Next, the VAR model was applied to a deep learning algorithm to find a prediction model optimized for the prediction of asthmatic occurrence. The average error rate of the hybrid deep neural network (DNN) model was numerically verified to be about 8.17%, indicating better performance than other time-series algorithms. The proposed model can help streamline the national health and medical insurance system and health budget management in South Korea much more effectively. It can also provide efficiency in the deployment and management of the supply and demand of medical personnel in hospitals. In addition, it can contribute to the promotion of national health, enabling advance alerts of the risk of outbreaks by the atmospheric environment for chronic asthma patients. Furthermore, the theoretical methodologies, experimental results and implications of this study will be able to contribute to our current issues of global change and development in that the meteorological and environmental data-driven, deep-learning prediction model proposed hereby would put forward a macroscopic directionality which leads to sustainable public health and sustainability science.

Post-dialectics and fascistic argumentation in the global climate change debate

Argumentation is in the midst of a crisis that imperils deliberative rhetoric from working how it should when good arguments matter most. Rising trends of verbal aggression, hostility, and control in political contexts, which violate most argumentative norms but garner populistic adherence, are not only troubling for argumentation but also for the sustainability of life itself when it comes to the issue of global climate change. We argue that desires to control ideas and attitudes toward the environment demonstrate what we call fascistic argument—a form of argumentation that regales the domination of materialities, discourses, and bodies through nationalistic structures of feeling. Fascistic argument is one of many possible implications of a post-dialectical turn in argumentation, a perspective which understands argument as a constellation of assemblages, affects, and forces rather than a process of testing and contesting good reasons. We explore the rise of fascistic argument as an effect of the failure of reason to compel policy. This failure generates a contagion of affects and desires that control the argumentative process and infect dialectic debates aimed at achieving consensus.

Urban planning for low-carbon sustainable development

With the acceleration of urbanization and industrialization, increasingly serious global climate change issues have profoundly affected the survival and development of human beings, and natural, ecological and social systems are facing unprecedented threats and challenges. The purpose of this article is to study urban planning from multiple perspectives and levels, and strive to create a healthy ecologically balanced environment. This article takes city A as the research object, and uses the theory of SD and low-carbon(LC) cities as a guide to analyze the social and economic development level, regional resources, and environment of city A, and compare it with representative cities. Through the analysis of decoupling index, the stage of LC development in city A was clarified, and the urbanization rate of city A was 68 %. The economic growth of city A mainly depends on the rapid development of high-energy-consuming industries. We must adjust the economic structure. On the basis of full demonstration and analysis, development strategies are proposed from the aspects of urban planning, LC economy and LC transportation to promote the harmonious development of the ecological environment and the city.

Preliminary assessment of surface conditions for carbon dioxide injection projects from pre-selected fields in the Recôncavo Basin, Brazil

Energy-intensive industries have had to increase their production to meet global demands, consequently increasing their emissions of greenhouse gases (GHGs) such as CO2. Carbon dioxide is the raw material used in enhanced oil recovery (EOR) techniques, which have been gaining importance, taking into account the issues of global climate change and the potential to store CO2. The aim of this study was to develop a project analysis framework and assess the surface characteristics of candidate fields for CO2 injection projects located in the Recôncavo Basin, Bahia, Brazil, while also considering the present environmental restrictions. The methodology employed comprised a comprehensive review of the relevant literature and field visits to identify the important aspects for this preliminary assessment. Considering the present conditions of the surveyed fields and current environmental regulations, most of the analysed fields were verified to have a high potential for CO2 injection project implementation in Recôncavo Basin.

Community Participation in the Village Climate Program to Anticipate Future Climate Change in Wetlands

The issue of global warming and climate change is a crucial problem in the world as it triggers an increase in temperature and disasters. Indonesia one of the countries most vulnerable to climate change impacts. The impact of climate change is increasing every year. Efforts to reduce the impact of climate change on environmental management through climate village. Community participation is an important aspect of the success of the climate village program. The purpose of this study is how the Community Participation in the Village Climate Program to Anticipate Future Climate Change in Wetlands. This research method is quantitative. Sources of data in this study are primary data and secondary data. Sources of primary data obtained through interviews. Secondary data sources in the form of documentation and official archives that can support the research. Population and sample in the community in the village climate. Processing of data from interviews calculated percentages based on criteria of severe, moderate and good. Data in scoring with Likert scale approach and wide intervals. The analysis is based on the theory of Miles and Huberman. The findings of the study were to determine the Community Participation in the Village Climate Program to Anticipate Future Climate Change in Wetlands. Limitations of the study limit community participation in the climate village program. Community participation in the program is limited to mitigation and adaptation. The results showed community participation in the mitigation activities has been “good” and should be improved. Community participation in the activities of adaptation is “moderate”. This participation still needs improvements to community participation in the activities of adaptation to climate change can be better. Community participation is an important aspect of the success of the climate village program. Success climate village programs can reduce the negative impacts of future climate change on wetlands.

Fight the Power! Games, Thermostats, and the Energy Patriarchy

Confronting issues of global climate change will require creative approaches to energy consumption across a range of human activities. This design case looks at the evolution of a physical/digital hybrid board game that we created to encourage families to reflect on household energy consumption and environmental sustainability. Design in this context was particularly challenging due to the nature of household heating and cooling systems, which tend to be opaque and difficult to understand. Our challenge was to employ game mechanics to help build up interest, awareness, and understanding of heating and cooling systems, while at the same time providing an enjoyable and engaging activity. Through many rounds of playtesting and interviews, we converged on the design presented here. We start with a conceptual framework describing modern energy practices, after which we describe the game design and reflect on its strengths and weaknesses.