Residential Areas Research Articles

Assessment of Mercury Contamination in Water and Soil from Informal Artisanal Gold Mining: Implications for Environmental and Human Health in Darmali Area, Sudan

Mercury contamination stemming from artisanal and small-scale gold mining (ASGM) operations poses significant environmental and health concerns. This study focuses on the Darmali area in River Nile State, Sudan, where the reprocessing of amalgamation tailings has led to mercury contamination. This study assessed the mercury content in soil and tailings samples, as well as in tap and groundwater, to evaluate the human health risks from ASGM activities and assess contamination levels within the study area. Soil and water samples were collected from various locations, including agricultural, residential, and tailings sites, as well as groundwater and tap water from the Nile. Mercury analysis was conducted using MA-3000 (NIC), and geo-accumulation index analysis revealed extreme pollution levels in areas with tailings and moderate pollution levels in agricultural and residential areas. Hazard quotients were applied to assess health risks, with inhalation of mercury vapor identified as the primary exposure route. The results indicated that tailings pose significant health risks, particularly for children, while water samples and soil from agricultural and residential areas did not pose significant risks. These findings underscore the urgent need for authorities and local communities to address mercury contamination by removing and treating tailings from affected areas to mitigate health risks.

Thermodynamic analysis and multi-objective optimization of an ORC-based solar-natural gas driven trigeneration system for a residential area

Regarding the growing demands for energy, depletion of fossil fuel resources, and the adverse environmental consequences associated with their utilization, especially global warming, it is imperative to increase the share of renewable resources within energy systems. During the summer season, the residential sector in Khuzestan province, Iran, experiences a significant surge in energy consumption. This elevated demand is mostly attributed to the region's severe temperatures, requiring the extensive use of cooling equipment. As a result, taking into account the high potential for solar energy in the nation, this research first uses TRNSYS software to calculate the cooling and heating loads of a residential area in the province of Khuzestan. Next, a solar-natural gas Combined Cooling, Heating and Power (CCHP) system is designed and modeled using Engineering Equation Solver (EES) software, with the goal of supplying the cooling load. Then, using the particle swarm optimization technique, the system's multi-objective optimization was completed. The results showed that a fuel consumption rate of 0.04274 kg/s is required in steady state conditions to supply a cooling load of 1446.2 kW for the region with 1000 m2 of solar collecting area. A total of 465.7 kW of electric power and 3336 kW of heating are produced. The system's energy and exergy efficiencies were determined to be 186.6 % and 27.81 %, respectively. Eventually, the findings of this study demonstrated that the proposed configuration has the potential to provide multiple positive outcomes with a high level of efficiency, and improve the share of renewable energy.

The Natural State of Gardez City

The present research has been investigated in relation to (the natural state of Gardez city, the center of Paktia province), which was used in the form of quantitative and qualitative research in the year 2021 in the Department of Geography. The city of Gardez is one of the highest centers of the provinces of Afghanistan, whose average height is 2,350 meters, after the center of Bamyan province, whose height is 2,550 above sea level. Therefore, Gardez is the second highest among all the centers in the provinces of Afghanistan. The existence of heights, low points and mountains around Gardez, such as Sulaiman Ghar and Spin Ghar Mountains, has affected the climate of this region. Gardez has an area of about (750) square kilometers. In terms of elevations and lowlands, Gardez can be divided into three parts: mountains, mountain slopes and low-altitude areas, and its famous mountains are Spin Ghar and Suleiman Ghar and other mountains around Gardez called. The local areas are mentioned; it consists of Spin Ghar and Suleiman Ghar Mountains, all these mountains contain 244, 3518 hectares of land in Gardez. Generally, in Gardez, the slopes of these mountains form grassland areas and the low areas are land. Agricultural areas, residential areas, urban areas and government facilities. The Gardez Sea continues its path from the northeast to the southwest of Gardez and has water in the winter and spring seasons, and at the end, after travelling 110 kilometers, the Gardez Sea passes through the Sardah Dam in Ghazni province and stands in the water. The seat falls.

Urbanizational impact on climatic variables and geographical analysis of physical land use land cover variation of a city using Remote Sensing.

<p>Climate change has serious implications foron the rise and variation of the average earth’s temperature, and intensified rainfall. In urban areas, temperatures and intensified rainfall variation are noticeably seenin the city which disrupts the normal life of a living things. Also, it affects the storage of rainfall runoff water in tanks and lakes. Green cover reduction due to the increase ofagriculture, industrialization, population explosion and urbanization have a direct impact on the climate pattern.The average temperature of a city is increasing in every decade due to a drastic reduction in the green cover.This is visible today from the abnormal melting of glaciers. The rainfall pattern is highly intensified, and the frequency of rainfall is on the a decreasing trend. This intensified rainfall creates high surface runoff during rainfall and disrupts the normal life in a city. The Standard Precipitation Index (SPI) for a city indicates a noticeable shift in its climatic pattern, particularly with consistent rainfall during the southwest monsoon. Over the span of four decades, LULC research has revealed an increase in residential areas and a decrease in green cover. This urbanization process is associated with changes in LULC, resulting in decreased vegetation and diminished storage water bodies.Variations in the temperature of a city are on an increasing trend. Urban forestry or the dense green coverof an area reduces the temperature and creates cool pockets in the city. The regression model for temperature and vegetation indicates the negative correlation of temperature with high vegetation growth. Keywords: Urbanization, Climate change, Rainfall-runoff, Temperature, Green Cover</p>

Prescribing Patterns of Nonrecommended Medications for Children With Acute COVID-19.

Repurposed medications for acute coronavirus disease 2019 (COVID-19) continued to be prescribed after results from rigorous studies and national guidelines discouraged use. We aimed to describe prescribing rates of nonrecommended medications for acute COVID-19 in children, associations with demographic factors, and provider type and specialty. In this retrospective cohort of children <18 years in a large United States all-payer claims database, we identified prescriptions within 2 weeks of an acute COVID-19 diagnosis. We calculated prescription rate, performed multivariable logistic regression to identify risk factors, and described prescriber type and specialty during nonrecommended periods defined by national guidelines. We identified 3 082 626 COVID-19 diagnoses in 2 949 118 children between March 7, 2020 and December 31, 2022. Hydroxychloroquine (HCQ) and ivermectin were prescribed in 0.03% and 0.14% of COVID-19 cases, respectively, during nonrecommended periods (after September 12, 2020 for HCQ and February 5, 2021 for ivermectin) with considerable variation by state. Prescription rates were 4 times the national average in Arkansas (HCQ) and Oklahoma (ivermectin). Older age, nonpublic insurance, and emergency department or urgent care visit were associated with increased risk of either prescription. Additionally, residence in nonurban and low-income areas was associated with ivermectin prescription. General practitioners had the highest rates of prescribing. Although nonrecommended medication prescription rates were low, the overall COVID-19 burden translated into high numbers of ineffective and potentially harmful prescriptions. Understanding overuse patterns can help mitigate downstream consequences of misinformation. Reaching providers and parents with clear evidence-based recommendations is crucial to children's health.

Assessing the effect of COVID 19 lockdowns on the composition of organic compounds and potential source of PM2.5 in Hanoi, Vietnam.

The ambient air quality during COVID-19 lockdowns has been improved in many cities in the world. This study is to assess the changes in persistent organic pollutants in PM2.5 during the COVID-19 lockdown in Hanoi. Individual organic species in PM2.5 ((e.g., polycyclic aromatic hydrocarbons (PAHs), polychlorobiphenyls (PCBs), and organochlorine pesticides (OCPs)) were measured in an urban residential area in Hanoi from before the March 10th to April 22nd, 2020, including before the partial lockdown (BL) and the partial lockdown (PL) phases. During the PL phase, the concentration of Σ14PAHs and Σ28PCBs was reduced by 38 and 52% compared with the BL period, respectively. The diagnostic ratio method implied that the sources of PAHs within the PL phase had a less effect on traffic and industrial activities than in the BL phase. The characteristic ratio method indicated that PCBs were mixed by commercial product and combustion process in both the BL and the PL periods, however, the source of PCBs in the BL phase was influenced by municipal waste incineration more than those in the PL phase. The decreasing concentration of Σ20OCPs during the partial lockdown was attributed to the restriction of human activities during the quarantine period. The results suggested that the source of OCPs was probably derived from the usage of pesticides in current and, historical degradation or the transportation of pesticides from the soil to the atmosphere.

Is Development Type a Determinant of College and Graduate Students’ Commute Time to School? The Case of Seoul Metropolitan Area

This study examines the impact of large-scale suburban new town development on the commuting time of college and graduate students in the Seoul Metropolitan Area. Household travel diary data from 2016 were analyzed to categorize residential areas and quantify the impacts on commute time to school. Multiple linear regression modeling is used to explore the relationships between development type, individual, and household characteristics and their impact on commute times. The results of the study show that students living in new urban areas have significantly longer commute times than those living in central Seoul, highlighting the differences that result from urban expansion policies targeting middle-class housing. These results suggest that the development of suburban new towns, which was intended to alleviate the housing shortage, has inadvertently lengthened the daily commute time of many students. Thus, a critical reassessment of suburban development strategies is needed to better balance the advantages of residential neighborhoods against the educational and living costs associated with increased travel time.

Study on the Impact of Design Factors of Piloti Forms on the Thermal Environment in Residential Quarters

Study on the Impact of Design Factors of Piloti Forms on the Thermal Environment in Residential Quarters

Potentially toxic elements in urban soils of the coastal city of the Sea of Azov: Levels, sources, pollution and risk assessment

Coastal cities are major centers of economic activity, which at the same time has negative consequences for the environment. The present study aimed to determine the concentrations and sources of PTEs in the urban soils of Taganrog, as well as to assess the ecological and human health risks. A total of 47 urban and 5 background topsoils samples were analyzed by ICP-MS and ICP-AES. A significant excess of Cu, Zn, and Sb was noted in urban soils compared to the upper continental crust and average world-soil (1.7–2.9 times). Statistical analysis showed that the elements in soils were of geogenic, mixed and anthropogenic origin. According to the single pollution index (PI), the greatest danger of soil pollution was represented by anthropogenic elements, namely Cu, W, Pb, Zn, Cd, and Sn, the levels of which were increased in residential and industrial areas. The median contents of As, Mn, Cr, Sr, Mo, Sb, Cu, W, Pb, and Zn were 1.1–2.1 times higher, while Cd and Sn were 2.5 folds higher in the urban soils compared to the background ones. The total pollution index (ZC) showed that only 15% of the soils had high level of pollution, which is typical for the industrial areas. Overall ecological risks were negligible or low in 92% of soils, and were mainly due to elevated levels of Cu, Zn, As, and Pb. Non-carcinogenic risks to humans were mainly related to exposure to La and Pb. The hazard index (HI) values for all PTEs were less than ten, indicating that overall non-carcinogenic risk for adults and children was low-to-moderate and, moderate, respectively. The total carcinogenic risk (TCR) exceeded threshold and corresponded to low risk, with Pb, As, and Co being the most important contributors. Thus, the industrial activities of Taganrog is the main source of priority pollutants.

Modelling Consumers’ Preferences for Time-Slot Based Home Delivery of Goods Bought Online: An Empirical Study in Christchurch

Due to the remarkable growth in online retail sales in New Zealand, a large number of parcels are needed to be delivered to consumers’ doorsteps. Home deliveries in major New Zealand cities (e.g., Christchurch) typically occur between 9 a.m. and 6 p.m. on weekdays, when many home delivery attempts fail. This leads to adverse effects, such as vehicular traffic in residential areas and greater air pollution per parcel delivered. However, home deliveries outside of typical business hours (i.e., before 9 a.m. and after 5 p.m.) might be worthwhile to help subside the above issues. Therefore, this study investigated consumers’ preferences for receiving home deliveries during various times, such as early morning, morning, afternoon, late afternoon, and evening. The data used in this study were obtained via an online survey of 355 residents of Christchurch city. Non-parametric tests, namely the Friedman test, Wilcoxon signed-rank test, and ordinal logistic regression, were carried out to examine consumer preferences for the above time slots. The results showed that consumers preferred the late afternoon (3 p.m. to 6 p.m.) time slot the most for receiving home deliveries. It appeared that the off-peak delivery option is less likely to draw the desired consumer patronage and is thus less likely to assist in lowering the number of unsuccessful home deliveries, the transportation costs incurred by service providers, traffic congestion, and pollution in urban areas.

Catch me if you can: informal tourism employment of locals in scenic-oriented rural communities

ABSTRACT The expansion of the tourism industry has generated a plethora of informal job opportunities. However, existing literature has not thoroughly explored the extensive involvement of local residents in rural areas in informal tourism employment. This study focuses on the Fujian Tulou villages in China and employs the fieldwork method to investigate the phenomenon of informal tourism employment among local residents in scenic-oriented rural communities. The findings indicate that the dearth of employment prospects in rural areas, coupled with China’s distinctive rural land ownership system and the support from the rural social network, are the primary drivers motivating locals to participate in informal tourism employment. Locals employ tactics such as camouflage, tacit collusion, lurking, and covert actions to engage in informal tourism employment while navigating the regulations imposed by scenic area management. In efforts to standardize management within scenic areas, both local governments and tourism management companies are implementing measures such as offering formal employment opportunities and profit-sharing arrangements to incentivize the regularization of local employment in the tourism sector.

Development of a contextualized index of multiple deprivation for age-friendly cities: Evidence from Hong Kong

Deprivation refers to the state of having unmet basic needs, defined by societal standards. We argue that the mono emphasis on material deprivation is insufficient, as the characteristics of physical and social environments play a crucial role in either accelerating deprivation or providing additional resources/support to compensate for lack of income or basic household demands. We extend the focal point of the multiple deprivation framework to Hong Kong, an ultra-dense metropolis experiencing rapid demographic aging. We construct a Hong Kong index of multiple deprivation with seven domains. Highly deprived neighborhoods are likely to be located in areas with ultra-high residential density, where living conditions are substandard (e.g., subdivided units). Urban areas that used to have a large proportion of resettlement and industrial lands are likely to become deprived owing to the uneven distribution of urban amenities and the fragmentation of residential areas by industrial land.

Changes in patient recruitment parameters and their derivatives under the influence of external factors – population size and density of residence in a certain area

Background. The lack of targeted patient recruitment for clinical trials reaches 90%, which leads to failures of a trial as a whole and insufficient access to the necessary treatment or diagnostic method for patients. To find out the reasons for recruitment failures, many factors are considered, the action of which is difficult to assess due to high variability. In general, various factors are named that reduce patient recruitment, while factors that improve it are much less known.Objective: to investigate changes in the parameters and indicators of patient recruitment for clinical trials depending on the influence of external factors.Material and methods. A retrospective analysis of four international multicenter clinical trials of phases II–III was performed by 16 patient recruitment parameters and their 6 derivatives (indicators) – both widely used in the literature and newly proposed. A total of 622 patients from 70 clinical centers located in 59 cities of Russia, Ukraine, and Belarus were included in the study. The methods of descriptive statistics and typing were used. To study the influence of factors, internal and external factors were selected, external factors including population size, area and density of residence were analysed, and changes in parameters and indicators depending on the influence of each factor were examined. The area and population density were studied in inseparable connection with each other.Results. A simple classification of factors was proposed – external and internal to the clinical center where patients were recruited. The factors classified as external were analyzed depending on the change in the proposed parameters of patient recruitment for clinical trials and their relationships – indicators (derivatives). The final rate of patient recruitment and the final number of patients recruited in the population group of 1–2 million people had statistically significant (p&lt;0.05) higher values (0.57±0.20 and 15.08±5.06, respectively) than in group with up to 1 million people – 0.14±0.05 and 3.75±1.24.Conclusion. For the first time, an extended panel of parameters and indicators that allow evaluating the influence of various factors on patient recruitment for clinical trials was proposed. The value of the proportion of parameters and indicators that had statistical differences among themselves in the group influenced by the population size factor was more than twice as large as the proportion of similar parameters and indicators in the group influenced by area and population density: 47% and 23%, respectively, which may indicate more strong influence of the first factor.

A qualitative study of the benefits and challenges of different models of extra care housing for residents living with dementia.

Extra care housing (ECH) is a type of housing with care and support designed to enable older people to age in place. Approximately one fifth of residents living in ECH are living with dementia and yet, there remains gaps as to how best to support people to live well with dementia in the context. ECH stock across the United Kingdom (UK) includes a diverse range of options that can be grouped into integrated, specialist and separated accommodation. Integrated models involve residents with dementia living alongside residents without dementia. Specialist ECH offer accommodation exclusively for people living with dementia. Separated models offer a separate area for residents with dementia within a larger, integrated site. How these different models work for residents living with dementia is little known and has remained a significant gap in knowledge that impairs both professionals and people living with dementia when choosing housing and care. This paper reports on findings from a large study of residents living with dementia in ECH. The focus is on the potential benefits and challenges of different models of provision. Data were generated from interviews with 100 participants (residents, family members, staff, and adult social care professionals) at eight case study sites across England. Findings demonstrated that there are potential benefits and challenges within each model, but the limited diversity of stock limits choice. Multiple variables beyond the model of provision affect the lived experience, meaning that there is no universal model of optimal support. Rather, the approach and resources of each site is more important than the model of provision. Suggestions for future research directions are considered.

Environmental challenges and air pollution in Bac Lieu, Vietnam: assessing sources and impacts

AbstractBac Lieu, a region with diverse industries like handicrafts, agriculture, tourism, and a thriving marine economy, faces environmental challenges from climate change, resource exploitation, and rising air pollution due to vehicular, industrial, and agricultural emissions, along with waste management issues. The materials and methods employed in this study encompassed various phases critical for assessing air quality and devising an Air Quality Management Plan (AQMP) for Bac Lieu province. The AQMP framework involved activities such as baseline assessments, emission inventories, air quality monitoring, and modeling using dispersion models like AERMOD. The study proposed the application of the AirQ + model to analyze the correlation between air quality and human health, emphasizing the short-term effects of pollutants on respiratory and cardiovascular diseases, and estimating potential avoidable cases in Bac Lieu province. The emissions inventory in Bac Lieu province categorizes sources into point, mobile, and area. Major CO emissions come from waste burning, cooking, and mixed sources, while traffic significantly impacts CO levels. Residential areas show significant PM10, PM2.5, and NO2 emissions. Point sources impact nearby areas, notably in districts like Hong Dan and Phuoc Long. Cooking activities lead to high PM10 and CO emissions, especially in Bac Lieu city. Traffic emissions, particularly in urban hubs, significantly contribute to pollution, notably in Bac Lieu City, Vinh Loi, and Hoa Binh districts. Transportation emissions in urban zones contribute significantly to air pollution, while rural areas are influenced by various activities like burning, construction, and cooking, shaping diverse local air quality.

Prevalence of Parkinson’s disease among adults aged 45 years and older in China: a cross-sectional study based on the China health and retirement longitudinal study

BackgroundIn recent decades, China has experienced a rapid increase in the number of elderly individuals and life expectancy, as well as industrialization, which is associated with an increased prevalence of Parkinson's disease (PD). However, inconsistent results have recently been reported. Therefore, this study aimed to investigate the prevalence and distribution characteristics of PD among individuals aged 45 years and older.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), we attempted to estimate the prevalence of PD and its distribution characteristics among 19,034 individuals aged 45 years and older residing in 446 communities/villages within 27 provinces/autonomous regions/municipalities in mainland China. Cases were established based on a doctor's previous diagnosis. Crude and age-adjusted prevalence rates were calculated and stratified by age, sex, area of residence, education level, marital status, and geographic region. Logistic regression models were used to identify risk factors associated with PD.ResultsWe identified 178 patients with PD among 19,034 residents aged 45 years and older. The crude prevalence was 0.94%, and the age-adjusted prevalence was 0.82% for individuals aged 45 years and older. The prevalence of PD increased with age (P < 0.001). No significant differences were found in terms of sex, area of residence, or education level. Stratified by geographic region, the prevalence of PD was greater in North and Northwest China and lower in southern China (p < 0.001). Multiple regression analyses showed that age was a significant risk factor for PD.ConclusionThe prevalence of PD increased with age in the Chinese population.

Abstract PO3-02-06: Predictive Factors for adjuvant radiation use in patients &amp;gt;70 years with pT1N0 HR+ breast cancers

Abstract Introduction: In 2004 the CALGB 9343 study reported that women &amp;gt;70 years of age with pT1NO hormone receptor positive breast cancer received no meaningful benefit from breast irradiation following lumpectomy. Although there was a modest reduction in local recurrence, there was no improvement in rates of mastectomy for local recurrence, distant metastases, 5-year overall survival (OS) and breast cancer specific survival therefore concluding that it was reasonable to omit radiation therapy in this group. An update of the CALGB 9343 study in 2013 with 10-year follow-up came to the same conclusion. Previous analysis of the National Cancer Database (NCDB) and the SEER database showed, however, that the majority of women with these characteristics were still receiving radiation therapy. We conducted this retrospective analysis from NCDB to identify factors associated with the use of radiation in this population. Methods: We reviewed the NCDB database and collected records of all breast cancer patients aged &amp;gt;70 years, who had hormone positive (HR+), pT1N0 disease between the years of 2004-2019. They were separated into radiation and non-radiation cohorts and then stratified based on ethnicity, age groups, insurance status, income quartiles, education quartiles, areas of residence, tumor size, comorbidities, diagnosis to treatment time, treatment facility type and geographic location. We then compared mortality between the two cohorts and completed a multivariate analysis to determine the demographic and clinical factors associated with the likelihood of receiving radiation. SAS was used for analysis and p-value &amp;lt; 0.05 was deemed as statistically significant. Results: 147,611 patients met the criteria of age &amp;gt; 70, pT1N0, HR+ treated with surgical lumpectomy. The majority of them were white, aged 70-75y, had Medicare, were in higher education and income quartiles and lived in metro areas (Table 1). 57.9% of the total study population received radiation. The possibility of receiving radiation decreased as age increased beyond 75 years. Uninsured patients, Medicare patients, those with comorbities, higher educational status as well as those who lived 20+ miles away from their treatment facility and treated at urban centers in central or south Atlantic areas were less likely to receive radiation. Those treated at Comprehensive community cancer programs and middle Atlantic areas were more likely to receive radiation. The possibility of radiation also progressively increased with tumor size. However, there were no differences observed when stratified by race, income status or chemotherapy use (Table 2). We also noted a small overall survival advantage for the radiation cohort (HR 0.77, p-value &amp;lt; 0.0001) which could be explained by the fact that patients without comorbidities were more likely to receive radiation. Discussion: Our results provide a real-world estimate of radiation use in pT1N0 HR+ early-stage breast cancer in women &amp;gt; 70 years. The major predictors of radiation use included younger age, low co-morbidities, insurance and institutions providing care. Lack of awareness about recent updates or concern about local recurrence could be contributing to the continued use of radiation. Although there are minor differences when stratified by demographics, it is concerning that the overall trend of radiation use has not significantly decreased over time. Since there is currently no data to support the routine use of radiation in this patient group as evidenced by randomized controlled trials, it is prudent to avoid radiation. This approach would help reduce healthcare costs, patient inconvenience and associated morbidity. Table 1 Baseline characteristics Table 2 Factors affecting radiation use Citation Format: Suma Sri Chennapragada, Runhua Shi, Shivani Sharma, Gary Burton. Predictive Factors for adjuvant radiation use in patients &amp;gt;70 years with pT1N0 HR+ breast cancers [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-02-06.

The effect of fine particulate matter (PM2.5) pollution on health inequality: an intergenerational perspective.

Air pollution poses a serious challenge to public health and simultaneously exacerbating regional & intergenerational health inequality. This research introduces PM2.5 pollution into the intergenerational health transmission model, and estimates its impact on health inequality in China using Ordered Logit Regression (OLR) and Multi-scale Geographically Weighted Regression (MGWR) model. The results indicate that PM2.5 pollution exacerbate the intergenerational health inequality, and its impacts show inconsistency across family income levels, parental health insurance status, and area of residence. Specifically, it is more difficult for offspring in low-income families to escape from the influence of unhealthy family to become upwardly mobile. Additionally, this health inequality is more significant in households in which at least one parent does not have health insurance. Moreover, the intergenerational solidification caused by PM2.5 pollution is higher in the east and lower in the west. Both the PM2.5 level and solidification effect are high in Beijing-Tianjin-Hebei region, Yangtze River Delta region and central areas of China, which is the focus of air pollution management. These findings suggest that more emphasis should be placed on family-based health promotion. In areas with high PM2.5 pollution levels, resources, subsidies and air pollution protection should be provided for less healthy families with lower incomes and no health insurance.

Understanding How Green Space Naturalness Impacts Public Well-Being: Prospects for Designing Healthier Cities

Statement of problem: Urbanization has brought significant advancements in human well-being; however, it poses challenges to urban green spaces (UGSs), affecting environmental quality and public health. Research gap: Previous studies have established the importance of UGSs for urban well-being but have not sufficiently explored how the naturalness of these spaces—ranging from untouched natural areas to human-designed landscapes—affects mental health outcomes in the context of developing countries, particularly Brazil. Purpose: This study aimed to bridge the research gap by investigating the relationship between the degree of naturalness in UGSs and mental health among residents of Brazilian metropolitan areas. Method: Data were collected through an online survey involving 2136 respondents from various Brazilian urban regions. The study used Welch’s ANOVA and Games–Howell post hoc tests to analyze the impact of UGS naturalness on mental health, considering depression, anxiety, and stress levels. Results and conclusions: The findings revealed that higher degrees of naturalness in UGSs significantly correlate with lower levels of mental distress. These results underscore the necessity of integrating natural elements into urban planning to enhance public health. Practical implications: Urban planners and policymakers are encouraged to prioritize the preservation and creation of naturalistic UGSs in urban environments to improve mental health outcomes. Future directions: Further research should explore the specific attributes of naturalness that most contribute to well-being and examine the scalability of these findings across different cultural and environmental contexts.

Simulating the land use change effects on non-point source pollution in the Duliujian River Basin.

The uncertainty in the generation and formation of non-point source pollution makes it challenging to monitor and control this type of pollution. The SWAT model is frequently used to simulate non-point source pollution in watersheds and is mainly applied to natural watersheds that are less affected by human activities. This study focuses on the Duliujian River Basin (Xiqing section), which is characterized by a dense population and rapid urbanization. Based on the calibrated SWAT model, this study analyzed the effects of land use change on non-point source pollution both temporally and spatially. It was found that nitrogen and phosphorus non-point source pollution load losses were closely related to land use type, with agricultural land and high-density urban land (including rural settlements) being the main contributors to riverine nitrogen and phosphorus pollution. This indicates the necessity of analyzing the impact of land use changes on non-point source pollution loads by identifying critical source areas and altering the land use types that contribute heavily to pollution in these areas. The simulation results of land use type changes in these critical source areas showed that the reduction effect on non-point source pollution load is in the order of forest land > grassland > low-density residential area. To effectively curb surface source pollution in the study area, strategies such as modifying urban land use types, increasing vegetation cover and ground infiltration rate, and strictly controlling the discharge of domestic waste and sewage from urban areas can be implemented.