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The electromechanical brake system is leading the latest development trend in railway braking technology. The tolerance stack-up generated during the assembly and production process catalyzes the slight geometric dimensioning and tolerancing between the motor stator and rotor inside the electromechanical cylinder. The tolerance leads to imprecise brake control, so it is necessary to diagnose the fault of the motor in the fully assembled electromechanical brake system. This paper aims to present improved variational mode decomposition (VMD) algorithm, which endeavors to elucidate and push the boundaries of mechanical synchronicity problems within the realm of the electromechanical brake system.

The VMD algorithm plays a pivotal role in the preliminary phase, employing mode decomposition techniques to decompose the motor speed signals. Afterward, the error energy algorithm precision is utilized to extract abnormal features, leveraging the practical intrinsic mode functions, eliminating extraneous noise and enhancing the signal’s fidelity. This refined signal then becomes the basis for fault analysis. In the analytical step, the cepstrum is employed to calculate the formant and envelope of the reconstructed signal. By scrutinizing the formant and envelope, the fault point within the electromechanical brake system is precisely identified, contributing to a sophisticated and accurate fault diagnosis.

This paper innovatively uses the VMD algorithm for the modal decomposition of electromechanical brake (EMB) motor speed signals and combines it with the error energy algorithm to achieve abnormal feature extraction. The signal is reconstructed according to the effective intrinsic mode functions (IMFS) component of removing noise, and the formant and envelope are calculated by cepstrum to locate the fault point. Experiments show that the empirical mode decomposition (EMD) algorithm can effectively decompose the original speed signal. After feature extraction, signal enhancement and fault identification, the motor mechanical fault point can be accurately located. This fault diagnosis method is an effective fault diagnosis algorithm suitable for EMB systems.

By using this improved VMD algorithm, the electromechanical brake system can precisely identify the rotational anomaly of the motor. This method can offer an online diagnosis analysis function during operation and contribute to an automated factory inspection strategy while parts are assembled. Compared with the conventional motor diagnosis method, this improved VMD algorithm can eliminate the need for additional acceleration sensors and save hardware costs. Moreover, the accumulation of online detection functions helps improve the reliability of train electromechanical braking systems.

This study aims to assess gender-based differences on farmers’ perception of impacts and vulnerability to climate change and the implementation of adaptation strategies in the Pra River Basin of Ghana, while also providing lessons for other Sub-Saharan nations and regions with similar conditions.

The study used semi-structured interviews and questionnaires to collect data from 344 farmers, 64 participants in focus group discussions and 6 agriculture extension officers (key informants) from 10 districts in the Pra River Basin of Ghana.

Results showed several differences in how climate change is perceived and tackled by male and female genders. In the perception of male farmers, for example, they were found to be more vulnerable to increased temperature, and changes in rainfall and growing season, whereas female farmers on average were considered to be less resilient to floods and droughts for different reasons. Moreover, floods posed higher risks to farming than other climate change impacts. Gender roles had a significant correlation with the type of adaptation strategies practised. Men adopted agrochemicals more often than women, as an adaptation strategy.

Gender-differentiated interventions should be incorporated in the national climate change action plan for sustainable development in a rain-fed agricultural economy such as Ghana. The study recommends several actions to promote gender equity in the assessed region.

This research assessed the gender differentials in climate trends, impact, vulnerability and adaptation based on primary data collected between April and May 2019 and compared the results with climate data in the basin for the period 1991–2014. It is an empirical study focused on primary data analysis obtained in loco by authors, involving approximately 400 participants.

Microbusinesses are better able to assist many disadvantaged groups in finding employment and breaking the cycle of poverty because they require less initial capital and employ a large number of poor people in developing economies. Women run and own the majority of micro-businesses in urban Ethiopia. This study aims to investigate women’s microbusiness participation decisions and the effect on poverty in the Wolaita zone southern Ethiopia.

A cross-sectional study was carried out using a mixed-methods research approach. A total of 384 women who owned micro-businesses were chosen using a systematic random sampling technique, while 36 women were purposefully chosen for qualitative data analysis. Data were gathered through survey questionnaires, in-depth interviews and focus group discussions. The collected data were analyzed by using a propensity score matching technique as well as contextual analysis.

The study discovered that women’s participation in registered micro-businesses had a higher and more beneficial impact on their food, non-food and overall consumer spending than women’s participation in unregistered microbusinesses, which helped to reduce poverty. Besides, overall women’s participation in micro-business increased their decision-making power and enabled them to provide resources for their families food and non-food consumption, with registered micro-business participants reaping the greatest benefits.

This research focused on the effects of women’s micro-entrepreneurship on poverty in low-income communities. Rather than providing food, clothing and/or other aid to women in disadvantaged communities, the authors asserted that assisting women and their micro-businesses allows them to be self-sufficient in terms of food and clothing as a long-term solution to poverty reduction. As a result, policymakers can use our findings to gain a better understanding of how women’s micro-entrepreneurship affects poverty reduction, allowing them to develop more effective anti-poverty initiatives. This study’s findings are novel and add to the body of knowledge in Ethiopia and the sub-Saharan African region.

Farmers all over the country have been exposed to various adaptation strategies to climate change. The adaptation options however focus too closely on technical skills and technologies and fail to address critical social factors such as culture, beliefs and values that influence the adoption and effective implementation of new adaptation technologies, skills and capacity. This paper aims to assess the socioeconomic factors influencing farmers’ specific adaptive strategies to climate change in Pwalugu and Balungu communities in the Talensi district of the Upper East Region of Ghana. This study used purposive sampling technique to select the study communities, whereas simple random sampling technique was used to select a total of 100 respondents from the selected communities. Questionnaires, key informant interviews and focus group discussions were used in collecting data from respondents. This study used detailed statistical test to analyze the data, and the results are presented in the form of figures and tables. This study highlights the legal and institutional context which must be adopted for effective response to climate change impacts in rural communities in Northern Ghana. It also recommends that government and relevant stakeholders should collaborate with financial institutions to ensure that funds are readily available to farmers to enable them to effectively adapt to climate change as well as provide training/workshop programs to farmers to enhance their capacity in planning and implementing effective strategies to climate change.

This study used the integrated methodological approach where quantitative methods were combined with appropriate qualitative methods. According to Sandelowski (2000), this method ensures reliability (the extents to which results are consistent over time) and validity (the means of which measurements are accurate) of the research. A combination of participatory methods, including key informant interviews, household questionnaire surveys and focus-group discussions were used, allowing local people the opportunity to participate by sharing their experiences and knowledge to outline possible solutions to the problem at hand. Multiple methods (Yeasmin and Rahman, 2012) are good at reducing the inadequacies of a single method. Cross-sectional study was used in designing the research. Variables were measured or determined at the same period in a given population. This method allowed the assessment of practices, attitudes, knowledge and beliefs of a population in relation to a particular event or phenomenon (Olsen and George, 2014).

The findings of this study revealed farming as the major occupation in the two communities with males being dominant. Diverse livelihood activities such as fishing, animal/poultry rearing, firewood/charcoal production, hunting and driving were other activities respondents engaged to earn a living. In terms of institutional arrangements, avoidance of bush burning and tree felling were the norms influencing decision-making in the two communities. Fear of being punished, animals feeding on some of the grasses, trees inducing rainfall as well as benefits respondents get from trees were the reasons these norms were adhered to in the study area. Access to land, gender dynamics and finance were identified as the socioeconomic factors in the study area. High demands by landowners, last minute change of mind by landowners, limited fertile lands, lack of money to acquire lands, behavior of tenants, number of acres required and lands far from water bodies were the challenges associated with acquiring land in the communities. Access to finance influenced respondents’ ability to acquire fertile lands, lands closer to water bodies and any number of acres of their choice. Gender however impeded women adaptation strategies to climate change. Women were not allowed to own land and other property in the form of animals simply because they are seen as migrants and they do not know the history of the land.

This is a master’s thesis project. This paper shows the socioeconomic factors, which are influencing farmers’ specific adaptation to climate change in the Talensi district of Ghana.

This paper aims to draw on community risk assessment (CRA) for assessing vulnerability to climate change in north-western Ghana, focusing on sunshine, temperature and wind, elements of climate which are seldom explored in vulnerability assessments to climate change.

The paper draws on data collected from a qualitative research design that used participatory rural appraisal methods, particularly, in-depth interviews, focus group discussions and seasonal calendar analysis in three selected rural communities of the Sissala East District. Furthermore, an inter-generational framework was adopted for comparative assessment of vulnerability and changes in vulnerability to climate change.

The results show that the current generation of smallholder farmers is more vulnerable to climate change than the past generation, the era of grandparents. Thus, farmers are exposed to higher-intensity sunshine, temperature and wind in contemporary times than was the case in the past. Consequently, their livelihoods are affected the most by the damaging effects of these climatic hazards. The CRA process revealed the relevance of indigenous knowledge systems for vulnerability assessments and at the same time, underpins the need for adaptation of such knowledge if it is to sustain smallholder farmer efforts at climate change adaptation at community levels.

The paper recommends an endogenous development approach to climate change adaptation planning (CCAP), one that will build on indigenous knowledge systems for effective community education, mobilization and participatory response to climate change. Policy interventions should aim at enhancing climate change adaptation through innovations in soil and water conservation, access to water for irrigation and domestic use, climate smart-housing architecture and agro-forestry within the framework of decentralization and district development planning.

This paper will contribute to climate change research in two ways: first, by drawing attention to the usefulness of CRA in vulnerability assessment; and second, by focusing on climate elements which are critical for CCAP but rarely given sufficient attention in vulnerability assessments.

This research analyses and evaluates the trends and perspectives of climate change in Colombia. This study aims to understand the main ideas and concepts of climate change in five regions of the country by analysing attitudes and values, information habits, institutionalism and the social appropriation of science and technology.

The research study involved a focus group technique. Ten focus groups in five regions of the country, including rural regions, were administered. The selection of cities and municipalities in this study took into account vulnerability scenarios based on the two criteria of temperature and precipitation for the 2011-2040 period.

The participants of the focus groups believe that climate change began 10 years ago and that human activities have caused climate change. The main effects of climate change are believed to be droughts and floods that have appeared in the past several years and have negatively impacted agricultural activities and the quality of life of the population. Moreover, the participants believe that it is important to design and apply adequate measures to adapt to and mitigate climate change.

This study makes an important contribution to the extant climate change literature by identifying and categorising the main ideas and knowledge on this issue from the perspective of the population in Colombia. In developing countries with high climate change vulnerability, it is especially important to analyse this issue to determine relevant official policy instruments that could promote adequate actions and instruments to prevent, adapt to and mitigate climate change.

The development of models that allows the evaluation and prediction of erosion processes is an important tool for the management and planning of coastal systems. Mangrove forests systems are under threat by the impacts of erosion, which is also intensified by human activity (and aggravated in the scenarios of global warming and climate change). The purpose of this paper is to develop a model of geographic information systems (GIS) that can be used for any estuary area, but it can also be used for mangroves.

This paper uses georeferentiation which is defined as a set of parameters that best characterize the mangrove areas: elevation (m); geomorphology; geology; land cover; anthropogenic activities; distance to the coastline (m) and maximum tidal range (m). Three different methods are used to combine the various vulnerability parameters, namely, DRASTIC index, analytical hierarchy process (AHP) and square root of the geometric mean.

The three approaches presented in this work show different types evaluating vulnerability to erosion, highlighting a stronger overvaluation of the areas presented with a high vulnerability, through the use of DRASTIC index when compared with two other approaches. The use of the AHP shows similarity to the square root of the geometric mean model, but the AHP also presents a higher percentage of vulnerable areas classified as having medium to very high vulnerability. On the other hand, the use of square root of the geometric mean led to a higher percentage of areas classified as having low and very low vulnerability.

These three qualitative models, based on a cognitive approach, using the set of parameters defined in this research, are a good tool for the spatial distribution of erosion in different mangroves in the world.

Global warming and climate change scenarios require adaptation and mitigation options supported by science-based strategies and solutions.

This paper aims at providing the evidence about how carbon sequestration in terrestrial ecosystems could contribute to the decrease of atmospheric CO₂ rates through the adoption of appropriate cropping systems such as agroforestry.

Stratified randomly selected plots were used to collect data on tree diameter at breast height (DBH). Composite soil samples were collected from three soil depths for soil carbon analysis. Above ground biomass estimation was made using an allometric equation. The spectral signature of each plot was extracted to study the statistical relationship between carbon stock and selected vegetation indices.

There was a significant difference in vegetation and soil carbon stocks among the different land use/land cover types (P < 0.05). The potential carbon stock was highest in the vegetation found in sparsely cultivated land (13.13 ± 1.84 tons ha⁻¹) and in soil in bushland (19.21 ± 3.79 tons ha⁻¹). Carbon sequestration potential of the study area significantly increased (+127174.5 tons CO₂e) as a result of conversion of intensively cultivated agricultural lands to agroforestry systems. The amount of sequestered carbon was found to be dependent on species diversity, tree density and tree size. The vegetation indices had a better correlation with soil and total carbon.

The paper has addressed an important aspect in curbing greenhouse gases in integrated land systems. The paper brings a new empirical insight of carbon sequestration potentials of agroforestry systems with a focus on drylands.

The purpose of this paper is to assess indigenous climate governance through climate change and variability discourse by a rural Zimbabwean community. In Zimbabwe, climate governance has largely been presented from a political angle as indicated in the current climate governance structure. Apparently, the structure does not directly involve rural communities who at the same time suffer the most from the effects of climate change. Hence, the study intends to demonstrate that the manner in which humans perceive climate change influences their responses and actions vis-à-vis climate governance.

This qualitative study used 20 participants from a rural community in Zimbabwe. Their experiences were used as lances through which indigenous climate governance could be envisioned and executed. In-depth interviews were used to collect data and thematic content analysis was used to analyse data.

The study found that climate change perceptions and observations of weather conditions informs the community’s decisions on how to adapt to the impacts of climate change vis-à-vis indigenous knowledge systems (IKS) climate governance. The study also proposed a paradigm shift from a Western-oriented climate governance structure that currently exists in Zimbabwe to an indigenous model through a proposed IKS governance structure. This was considered significant because of the fact that it closely accommodates the community based on their lifestyle.

The study proposes a paradigm shift from a Western-oriented climate governance structure that currently exist in Zimbabwe to an indigenous model through a proposed IKS governance structure. This is arrived at by assessing climate change perceptions, narratives and experiences by community members. This is of particular importance because a few scholars have explored climate governance via IKS.

Bangladesh is one of the most flood-prone countries in the world. A number of research works have identified that the flood scenario will be aggravated with climate change context in Bangladesh. In 2014, Bangladesh had prepared municipal level master plan for 222 municipalities with a view to planned urban development. But climate change-induced flood has not been considered in master plan, which poses a question toward the sustainability of the plan. Ullapara Municipality of Sirajganj district has been selected to conduct the research. This study aims to evaluate how infrastructure in proposed master plan will be exposed to climate change-induced flood.

The methodology of this study follows geographic information system (GIS)-based flood exposure analysis of selected infrastructure. These infrastructures include transport infrastructure, educational infrastructure, health infrastructure and other urban facilities. Climate change-induced flood for the year 2040 has been used for flood exposure analysis.

It is evident from the flood exposure analysis that about 33.99% roads will be exposed to 1.5 m–2 m inundation level; seven primary school, six secondary school and four colleges would be highly exposed to 2.0 m–2.50 m inundation level; four health facilities would be exposed to 1.0 m–2.0 m inundation level because of future climate change. This inundation scenario for long duration will lead to dysfunction of concerned infrastructure and, in turn, undermine the stability of a socioeconomic system of Ullapara Municipality.

As the master plan is not fully implemented till now, there is scope for intervention for considering climate change-induced flood to make the plan sustainable.