Rural Houses Research Articles

The effect of firewood combustion cookstove types on indoor air pollution and deforestation in selected rural houses of Ethiopia

The effect of firewood combustion cookstove types on indoor air pollution and deforestation in selected rural houses of Ethiopia

Personal exposure of women to PM2.5-bound PAH derivatives from cooking emissions in varied rural kitchen setups

The present study investigates the personal exposure of women to PM2.5 and associated chemical constituents such as Elemental Carbon, Organic Carbon and 63 Poly Aromatic Hydrocarbons (PAH) compounds in varied kitchen setups viz. Indoor kitchen without partition (IKWO); Indoor kitchen with partition (IKWP); Separate enclosed kitchen outside the home (SEKO); Open kitchen (OK); and Open kitchen under stairway (OK_S) of south India. The exposure to PM2.5 was found to be highest in OK_S followed by IKWP, SEKO, IKWO and OK with average concentrations of 8943.54 ± 699, 6117.80 ± 1732, 4257.85 ± 2215, 2118.07 ± 524 and 1505.89 ± 431 μg/m3, respectively. Similarly, OK_S had the greatest levels of PM2.5-bounded PAHs (∑PAH63, ∑PAH16, and BaP) due to their small size and poor ventilation. The lifetime Excess Cancer Risk (ECR) indicated the highest lifetime exposure risk per million population (400) in OK_S type of kitchens followed by IKWO (307), SEKO (151), IKWP (149), and then OK (7) using the relative potency factor (RPF) which includes nitro-PAHs as well as methyl-PAHs apart from PAHs with high molecular weight. Additionally, it was shown that the lifetime ECR of biomass fuel was six times greater than that of LPG. The current analysis recommends a complete transition to LPG and strictly avoiding open kitchens under the staircase. Thus, the findings of this study will provide valuable information to improve the quality of the indoor environment of rural houses in India.

Optimizing passive energy savings in rural self-built houses: Integrating phase change materials across China's climate zones

The energy consumption of rural residential buildings in China is increasing, and the integration of phase change materials (PCMs) has emerged as an effective strategy to mitigate building energy use and carbon emissions. Given China's diverse climate zones and the varying construction forms of rural self-built houses (RSHs), the efficacy of PCM applications varies significantly across regions. This study presents a comprehensive investigation into passive energy savings using PCMs in RSHs across various climate zones. We investigate the energy saving potential and thermal comfort effects of installing PCMs with varying phase change temperatures and thicknesses at different laying positions in representative buildings from each climate zone. The results indicate that the optimal phase change temperatures in different regions closely align with the outdoor average temperatures during the application season. When the optimal phase change temperatures and appropriate thicknesses of PCM are applied, cost-effective energy savings are consistently achieved in building roofing across regions, with the most significant effects observed in the Severe Cold region, where the uncomfortable degree hours reduction rate (φUDH) exceeds 90 %.

Computer vision-based cascade detection of peeling and cracking in masonry house walls

Self-built masonry structures are commonly used as houses in rural areas of the central plains of China. These structures pose significant safety risks due to the low level of self-building and non-standard designs. The primary type of damage to the walls of masonry houses is cracks, while the decorative layers of the walls may also experience peeling or cracking. The shapes, sizes, and surface characteristics of these damages are complex and unique to each type. To achieve fast identification of surface damage on masonry house walls, this paper proposes a cascade detection model that combines a multilevel cascade classifier with a parallel sub-segmentation network. The VGG16 neural network is used as the backbone for a multi-level series classifier. The model is trained by using a damage image set of the wall decorative layers in rural masonry houses. The classification of background and damage, as well as the classification of cracks and peels, are sequentially completed. Then, the parallel sub-segmentation model uses EfficientNet-B7 as the encoder and combines it with the U-Net framework skeleton to perform pixel-level segmentation of peeling and cracks. Finally, the output of parallel sub-segmentation networks is superimposed and fused to generate a complete image containing segmentation information of peeling and cracks. The cascade form network structure adopted in this model significantly reduces the training difficulty and enhances the model accuracy. Compared with Segformer and Deeplabv3+ network, the average IoU of the proposed method for on-site masonry wall images can be increased by 0.29 and 0.08, respectively.

Robust retrofits for rural house envelope considering construction quality and occupant behavior uncertainties: A MOO-integrated Taguchi method

Due to the underdeveloped socio-economic environment, the uncertainties in construction quality and occupant behavior are more prominent for rural house than urban residential buildings. If these uncertainties are not considered, there are higher risks of inaccurate performance prediction, unrealistic retrofit decisions and causing serious performance gap. To address this challenge, this paper proposes a robust envelope retrofitting workflow that combine deterministic multi objective optimization (MOO) and Taguchi method. This workflow stands out for its utilizing mature deterministic MOO to fast approximate Alternative schemes, and utilizing Taguchi method to handle uncertainties, reducing some key disadvantages of traditional robust design optimization (RDO), such as heavy calculating burden, overly conservative solution and difficulty to predefine proper robust objectives or performance target value. The proposed workflow consists of four main steps, formulating Alternative schemes by deterministic MOO, screening highly sensitive uncertain parameters by uncertainty and global sensitivity analysis, formulating Typical uncertain scenarios by orthogonal experiments (OE) and calculating the comprehensive robustness indicators. Results show that by employing the proposed workflow, the selected robust optimal solution not only proves to be robust but also leads to preferable performance enhancements. Compared with the reference mode, the energy efficiency has been improved by 33.2% to 49.4%, the discomfort hours have been reduced by 0.4% to 26.5%, and the robustness has been enhanced by 36.1%.

An experimental case study of escooter fire in a four-story building

Driven by the necessity to understand the fire and smoke dispersion characteristics of electric bicycle (escooter) fires and their effects on residents’ safety in rural houses, this study was conducted to perform full-scale fire experiments in a village house in Hainan, People’s Republic of China. The tested building is a typical multi-story building representative of rural houses in southern China. It is found that an escooter fire grows rapidly once its lithium-ion battery is overcharged to ignite. Inside the stairwell where the escooters are parked, a significant increase in temperature over 60°C across all floors is observed and the maximum temperature reaches up to 800°C on the first floor. Furthermore, the propagation of smoke is fast, reaching the upper floors within 5 minutes and filling the entire building within 7 minutes. Due to stack effect, carbon monoxide concentration is the highest on the fourth floor, notably higher than the other floors. Closing the doors of rooms where occupants are typically present is found to effectively block heat and smoke transfer. Thus, in case an escooter’s lithium-ion battery undergoes explosion combustion, it is better that residents stay in rooms by closing or even sealing the doors, waiting for help during most of the fire period. However, in case the lithium-ion battery has not been burning, there still are chances for evacuation or putting out the flame.

Optimizing the Integration of Building Materials, Energy Consumption, and Economic Factors in Rural Houses of Cold Regions: A Pathway

Limited material options and economic conditions significantly restrict the potential for energy efficiency improvements in rural houses in China’s cold regions. It is worth exploring how to propose suitable energy-saving renovation plans for rural houses in cold regions under practical constraints. By using Grasshopper within Rhinoceros 8 software, an algorithm integrates material selection, energy consumption calculations, and economic analysis. The method efficiently generates thermal optimization schemes, providing insights into energy use, costs, and payback periods. In a case study of a typical rural house in Daqing City, the optimized scheme achieved over 70% energy savings compared to traditional homes, with renovation costs amounting to less than 40% of residents’ annual income and a 2-year payback period. This significant improvement highlights the potential of the proposed method in enhancing the energy efficiency and economic viability of rural house renovations.

An Algorithm for Generating Outdoor Floor Plans and 3D Models of Rural Houses Based on Backpack LiDAR.

As the Rural Revitalization Strategy continues to progress, there is an increasing demand for the digitization of rural houses, roads, and roadside trees. Given the characteristics of rural areas, such as narrow roads, high building density, and low-rise buildings, the precise and automated generation of outdoor floor plans and 3D models for rural areas is the core research issue of this paper. The specific research content is as follows: Using the point cloud data of the outer walls of rural houses collected by backpack LiDAR as the data source, this paper proposes an algorithm for drawing outdoor floor plans based on the topological relationship of sliced and rasterized wall point clouds. This algorithm aims to meet the needs of periodically updating large-scale rural house floor plans. By comparing the coordinates of house corner points measured with RTK, it is verified that the floor plans drawn by this algorithm can meet the accuracy requirements of 1:1000 topographic maps. Additionally, based on the generated outdoor floor plans, this paper proposes an algorithm for quickly generating outdoor 3D models of rural houses using the height information of wall point clouds. This algorithm can quickly generate outdoor 3D models of rural houses by longitudinally stretching the floor plans, meeting the requirements for 3D models in spatial analyses such as lighting and inundation. By measuring the distance from the wall point clouds to the 3D models and conducting statistical analysis, results show that the distances are concentrated between -0.1 m and 0.1 m. The 3D model generated by the method proposed in this paper can be used as one of the basic data for real 3D construction.

Implementing contingency management into rural recovery housing: recommendations of a professional advisory expert panel

ABSTRACT Background: Rural areas in the United States have been severely impacted by recent rises in substance use related mortality and psychosocial consequences. There is a dearth of treatment resources to address substance use disorder (SUD). Rural recovery houses (RRH) are important services that provide individuals with SUD with an environment where they can engage in recovery-oriented activities, but dropout rates are unacceptably high, and evidence-based interventions such as contingency management (CM) may reduce dropout and improve outcomes for RRH residents. In this paper, we describe the results of a national convening of experts that addressed important issues concerning the implementation of CM within the context of RRHs. Methods: Twelve experts (five female) in the areas of CM, RRH and rural health participated in a one-day facilitated meeting that used nominal group technique to identify expert consensus in three areas as they pertain to RRH: (a) facilitators and barriers to CM implementation, (b) elements necessary for successful program building based on group feedback, and (c) recommendations for future implementation of CM. Results: Several RRH- and system-level barriers and facilitators to implementing CM were identified by the panel, and these were categorized based on the level of importance for and ease of implementation. CM funding, staff and resident buy-in, set policies, education on CM, and consistent fidelity to CM procedures and tracking were identified as important requirements for implementing CM in RRH. Conclusions: We provide recommendations for the implementation of CM in RRH that may be useful in this context, as well as more broadly.

When concrete was considered sustainable: ecological crisis, technological transition and the prefabricated concrete rural houses in Jiangsu Province from 1961 to the 1980s

This paper explores the creation, development, and dissemination of prefabricated concrete rural houses in Jiangsu Province in East China from 1961 to the 1980s, an example of the technological transition provoked by the depletion of forest and timber in China. Through archival research, fieldwork and interviews, the paper examines the two waves of design and dissemination of prefabricated concrete rural houses between 1961 and 1965 and their subsequent ‘vernacularisation’ in the 1970s and the 1980s. This research provides a twofold insight into the current scholarly debates surrounding built heritage and global climate change. On one hand, it addresses a historical context of concrete overuse in contemporary China, a matter of critical importance in relation to carbon emissions and global climate change. On the other hand, it offers a counter-argument to today's call for reintroducing timber structures in many places, as evidenced by the case of East China, where the widespread use of materials like concrete was primarily a consequence of the ecological crisis following decades of deforestation and timber resource depletion. In addition, the ‘vernacularisation’ of concrete structures manifested by this case still provides lessons for today’s efforts to popularise more eco-friendly construction materials and technologies, especially in rural areas, and the prefabricated concrete houses possess potential heritage values as trackers of ecological changes.

Intervention on indoor fine particulate matter induced by using solid fuel in rural houses in northern China

Intervention on indoor fine particulate matter induced by using solid fuel in rural houses in northern China

Study on the Coupling of Air-Source Heat Pumps (ASHPs) and Passive Heating in Cold Regions

Air-source heat pumps (ASHPs), as an active device, are widely used in building heating and cooling processes. However, in severe cold regions, they face reduced heating efficiency and frosting problems in winter. This paper proposes a new heating solution by coupling an ASHP with passive heating systems. It combines an ASHP with passive sunrooms and heat storage systems for heating. Through software simulations and mathematical modeling, the new scheme is compared and analyzed against traditional ASHP solutions to explore the performance of this scheme in rural houses in severe cold regions of China during winter. According to simulation and calculation analysis, on the coldest day of winter, the coupling scheme can provide approximately 99.41 kWh of heat to the indoors, which exceeds the 86.67 kWh required to maintain an indoor temperature of 20 °C. The system’s power consumption is 36.96 kWh, which is 66.88% lower than that of traditional heat pump heating. The study shows that the coupling system of an ASHP and passive heating has a good heating effect in severe cold regions. For the situation of insufficient solar energy at night, the design of phase-change materials and heat storage media can meet heating needs throughout the day.

Psychological Motivation Analysis of Farmers' Collective Energy-saving Behavior and Influence of Intervention Effect

The poor thermal performance of rural buildings in northern China and the serious pollution caused by loose coal combustion are practical problems that need to be solved urgently. In order to solve the two problems, this paper analyzed the current situation of the envelope structure of rural houses in the north of our country and the commonly used heating forms of farmers. It was found that the envelope structure of most rural houses did not take heat preservation measures and needed to be transformed to save energy. The commonly used heating systems for farmers are coal furnaces, hanging kang, earth heating, etc., and the wealthier rural areas use biogas or straw gasification for central heating, but there are still various problems to be improved in these systems. In order to improve the thermal performance of the farmers' building structure, the thermal performance measurement and energy-saving transformation of the enclosure structure of a typical farmer in Xiaoyi, Shanxi Province were carried out. Before the energy-saving transformation, Energy Plus software simulation analysis shows that the typical farmer can save 60% of the heating energy consumption after the energy-saving transformation. Before and after the energy-saving transformation, the actual measurement results show that the heat transfer coefficient of the wall, window and roof decreased by 72.7%, 61.59% and 64.99% respectively from 2.3 times, 1.43 times and 2.11 times the national requirement limit. The performance of the envelope structure after the energy-saving transformation can meet the national requirements. The actual statistics show that the biomass fuel consumption per unit temperature difference before and after the transformation is saved by 66.74%, which indicates that the energy-saving transformation has achieved good results, and shows the accuracy of the Energy Plus model. The psychological intervention of energy-saving transformation proposed in this study helps to improve people's awareness of energy-saving, reduces anxiety and fear, and has a very good effect on the psychological intervention effect.

Demand response strategies for air-conditioning systems based on direct load control: Considering envelope structures

In recent years, the surge in rural air-conditioning (AC) electricity consumption has led to an overall increase in peak loads in both winter and summer, presenting a major challenge to the reliability and stability of low-voltage distribution networks. Demand response (DR) strategy not only relieves the peak load, but also reduces the energy consumption and achieves the purpose of energy saving and emission reduction. Among the many DR strategies, direct load control (DLC) stands out as an effective way to quickly reduce building AC loads. Meanwhile, the building envelope is also one of the important factors affecting the AC load. A typical rural house in the Xi’an area of Shaanxi Province was used as a case study. A ground source heat pump system was developed, installed and used as an experimental platform in order to aid the study. Therefore, in this study, the combination of external envelope and DLC strategies was investigated to establish a simulation model of energy consumption in rural building complexes. Two DLC load control strategies were implemented under different external envelope conditions for annual AC energy simulation. The results show that the thickness of the external insulation layer has the greatest impact on the AC load of the building compared to the window-wall ratio and orientation. With a thickness of 0 mm–75 mm insulation, the DCCM strategy can effectively reduce AC energy consumption by 16%–18%; With a thickness of 0 mm–75 mm insulation, the TSCM strategy can effectively reduce AC energy consumption by 5%–8%.

Prevalence of gastrointestinal parasites in domestic pigs from family farms in northeastern Argentina

Domestic pigs serve as significant hosts and reservoirs for multiple parasite species, some specific to pigs and many others of zoonotic importance. This study aimed to assess the prevalence of intestinal parasites in pigs within a rural area in northeastern Argentina. We also examined demographic information, breeding conditions, and exposure factors associated with parasite presence. Pig feces were subjected to coprological examination through flotation and sedimentation techniques. Modified Ziehl-Neelsen technique was employed to examine oocysts of Cryptosporidium spp. In total, 29 family farms with pig pens were analyzed, and 42 stool samples were collected from pigs on these farms. At the farm level, the presence of at least one parasite species was recorded in 27 rural houses (93.1%). We found that 90.4% of pigs were parasitized, with a specific parasitoses of 10 species, with a maximum of six species in a single host. The most prevalent protozoa were Entamoeba spp. (57.1%) and Blastocystis sp. (45.2%), followed by Iodamoeba butschlii (33.3%), Neobalantidium coli (21.4%), coccidia (14.2%), Cryptosporidium spp. (9.5%) and Giardia spp. (2.3%). The most prevalent helminths were Strongylidae eggs (52.3%), Ascaris spp. (14.2%) and Trichuris spp. (2.3%). We advocate for an urgent need to implement a comprehensive prophylaxis program prioritizing general hygiene practices such as regular cleaning, removal of fecal material and renewal of drinking water. Additionally, vaccination and deworming protocols should be implemented. Furthermore, this study highlights the necessity for molecular-level evaluations to detect potential zoonotic genotypes of the identified protozoa.

Energy Efficiency Assessment of Existing Rural Houses in Nantong Based on Human Thermal Comfort

Current research on rural houses in China mainly focuses on improving energy efficiency, with relatively few studies addressing energy-saving measures and enhancing thermal comfort for residents. Therefore, this paper focuses on existing rural houses in Nantong City, Jiangsu Province, as the research object. Through on-site measurements and questionnaire surveys, it was found that the average indoor temperature of rural houses is 28.5 °C in summer and below 10 °C in winter, failing to meet the comfort needs of the villagers. To further study human thermal comfort, a linear regression method was used to establish an indoor Mean Thermal Sensation (MTS) model for Nantong’s rural houses. The neutral temperature in summer was found to be 26.46 °C, and an adaptive thermal comfort model for rural residents in the Nantong area was established. Through single-factor simulation and orthogonal experiments, the optimal comprehensive energy-saving renovation scheme was proposed. Finally, a typical rural house in Zhangzhuang Village was used as a case for building renovation practice. After the renovation, the number of thermal comfort hours increased by 145 h per year, the thermal comfort compliance rate reached 47.07%, and the overall energy-saving rate was 57.41%.

Analysis of Rural Heritage House Facades as the Initial Step Towards Their Adaptive Reuse and Renovation: A Case Study of Sixteen Houses in Mazandaran Province, Iran

The facades of buildings stand as one of the most influential aesthetic elements in urban and rural districts, serving as a boundary between exterior and interior while historically expressing various cultural and climatic functions. In Mazandaran Province, Iran, historical and rural areas have often been overlooked, leading to inappropriate approaches in reusing and renovating these buildings without considering their values. This study aims to analyze the characteristics of the facades of various historical and rural houses to provide a solid foundation for architects dealing with their reuse and renovation or the design of extensions to the existing buildings. In addition to discussing practical applications, this paper offers a methodological approach for scholars active in the field of rural architecture. The research method includes an analysis of several historical houses, drawing from both literature and field studies. The formal approach has been chosen to align with the research goal. The sixteen selected cases are situated in the historical and rural districts of Alasht, Lafour, Qaemshahr, each built in different historical periods of Iran. Given that many historical houses in this area are not officially listed as heritage buildings and no data regarding them are available, the researchers conducted field surveys and interviews with residents to collect the necessary information. The investigation focused on facade elements, including the pattern of openings and the materials used in the selected houses. This research led to the documentation of the facade shapes in the rural areas of Mazandaran Province, highlighting the necessity of documentation to establish a knowledge base before reuse, renovation, or design within these historic regions. This approach could serve as a model for other regions and countries.

Household indoor air quality in northeast China: On-site inspection and measurement in 399 Tianjin area residences

There has been an increased concern on indoor air quality (IAQ) in residences since the majority of individuals’ time is mainly spent indoors. We inspected and measured indoor environmental parameters in 399 homes in northeast China in order to study IAQ. We systematically measured multilevel environmental parameters (physical, chemical, and biological) in children’s bedrooms during all seasons. The results indicated that the median values for indoor temperature, relative humidity, total volatile organic compounds (TVOC), and formaldehyde concentrations throughout the year were within the Chinese national standards. However, the median carbon dioxide concentrations exceeded 1000 ppm during spring, autumn, and winter. In the same seasons, the air change rate (ACR) was below the minimum required level of 0.5 h−1. Di-2-ethylhexyl phthalate (DEHP), di-n-butyl phthalate (DnBP), and di-isobutyl phthalate (DiBP) were predominantly detected in settled dust, displaying median concentrations of 126.9, 41.5, and 16.3 μg/g, respectively. Notably, phthalate concentrations were significantly higher in urban houses as compared to rural houses. Furthermore, median concentrations of Dermatophagoides farinae (Der f) and endotoxin were 689.4 ng/g and 3689.1 EU/g, respectively, trending higher in winter than summer. There was a negative correlation between ACR and chemical pollutants (TVOC, formaldehyde, and DiBP). In conclusion, northeast Chinese homes had poor indoor air quality with ubiquitous exposure to modern chemical compounds and insufficient ventilation.

Characteristics and Influencing Factors of Spatiotemporal Distribution of Rural Houses Construction Development in Mountainous Villages of China (1980–2019): A Case Study of Qingyuan Town

Rural house is a fundamental component of rural settlements, and understanding its construction and development characteristics is crucial for rural land use and development planning. This paper focuses on the spatiotemporal characteristics and influencing factors of Rural Houses Construction Development (RHCD) from 1980 to 2019 with a case study of Qingyuan Town in China. Based on the literature review and filed research, a set of evaluation indicators for RHCD was established. The article calculates RHCD indicators from temporal and spatial dimensions, uses the location entropy method to demonstrate the spatial distribution of indicators, and classifies the RHCD type of 14 villages in Qingyuan Town using clustering algorithms. It also analyzes the influencing factors of spatiotemporal distribution. The results show that the RHCD in Qingyuan Town exhibits typical characteristics of mountainous areas and aligns with the development trends of rural society in China. Population growth, geographical location, and economic development are the primary driving factors for the quantity indicator (Qi), while economic growth, construction technology, industrial development, and policy adjustments are the key factors influencing the form indicator (Fi). In future policy-making, greater emphasis should be placed on optimizing development strategies, improving data and monitoring systems, and integrating administrative strength with actual development needs.

Domestic (re)infestation risk with the main vector Triatoma infestans increases with surrounding green vegetation and social vulnerability in the Argentine Chaco.

Chagas disease, caused by Trypanosoma cruzi, is still a public health problem in Latin America and in the Southern Cone countries, where Triatoma infestans is the main vector. We evaluated the relationships among the density of green vegetation around rural houses, sociodemographic characteristics, and domestic (re)infestation with T. infestans while accounting for their spatial dependence in the municipality of Pampa del Indio between 2007 and 2016. The study comprised sociodemographic and ecological variables from 734 rural houses with no missing data. Green vegetation density surrounding houses was estimated by the normalized difference vegetation index (NDVI). We used a hierarchical Bayesian logistic regression composed of fixed effects and spatial random effects to estimate domestic infestation risk and quantile regressions to evaluate the association between surrounding NDVI and selected sociodemographic variables. Qom ethnicity and the number of poultry were negatively associated with surrounding NDVI, whereas overcrowding was positively associated with surrounding NDVI. Hierarchical Bayesian models identified that domestic infestation was positively associated with surrounding NDVI, suitable walls for triatomines, and overcrowding over both intervention periods. Preintervention domestic infestation also was positively associated with Qom ethnicity. Models with spatial random effects performed better than models without spatial effects. The former identified geographic areas with a domestic infestation risk not accounted for by fixed-effect variables. Domestic infestation with T. infestans was associated with the density of green vegetation surrounding rural houses and social vulnerability over a decade of sustained vector control interventions. High density of green vegetation surrounding rural houses was associated with households with more vulnerable social conditions. Evaluation of domestic infestation risk should simultaneously consider social, landscape and spatial effects to control for their mutual dependency. Hierarchical Bayesian models provided a proficient methodology to identify areas for targeted triatomine and disease surveillance and control.