An evaluation model for city-scale construction and demolition waste management effectiveness: A case study in China.

The growing generation of construction and demolition waste (CDW) has emerged as a prominent challenge on global environmental agendas. However, the effectiveness of CDW management (CDWM) strategies varies among cities. Existing literature predominantly evaluates the effectiveness of CDWM at the project level, offering a localized perspective that fails to capture a city's comprehensive CDWM profile. This localized focus has certain limitations. To fill this gap in city-scale evaluations, this study introduces a novel model for assessing CDWM effectiveness at the municipal level. An empirical investigation was conducted across 11 cities within the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) to operationalize this model. The model defines five distinct levels of CDWM effectiveness. Findings indicate that Hong Kong consistently achieves the highest level (level I), while the majority of cities fall within levels III and IV. This pattern suggests that CDWM effectiveness in the GBA is moderately developed, with uneven progress in CDW management outcomes and supporting systems. Essentially, there is a lack of synchronous development of CDWM results and guarantee systems. The proposed evaluation model enriches existing CDWM research field and offers a framework that may inform future studies in other countries.

Study on the development characteristics and spatial and temporal patterns of population ageing in 31 central cities in China.

Background: Population ageing is inseparable from technological innovation, social progress and the development of human civilization, and constitutes a new element in the development of contemporary human history. Objective: To dynamically analyses the developmental, structural and growth characteristics of population ageing in 31 provincial capitals and municipalities in China, using the data of the fifth national census in 2000 and the seventh national census in 2020. Methods: The development characteristics and spatial and temporal patterns of population aging in the 31 cities were measured using the population aging index growth model, Theil's index, coefficient of variation, population aging index and other analytical methods. Results: (1) From 2000 to 2020, the population aging rate of the 31 central cities generally increased, and the population aging level of the cities showed the characteristics of "East-Central-Northeast-West" to "Northeast-East-Central-West" decreasing. (2) Regional differences in the ratio of old to young are relatively high, while regional differences in the level of population ageing are relatively small. The level of population ageing is classified with the indicators of size structure, family structure and age structure in the first and third quadrants, and with the geographic concentration rate in the second and fourth quadrants. (3) China's population ageing has a T-shaped spatial distribution characteristic pointing along the coast - along the Yangtze Rivers. Conclusion: The 31 central cities are the center of gravity of China's economy and have strong economic power in dealing with the challenges of population ageing, but how to make population ageing compatible with the economy and society, and then promote sustainable population development, is a topic that needs further attention in the study.

Does Market-Based Environmental Regulation Improve the Residents' Health: Quasi-Natural Experiment Based on DID.

Improving the residents' health is an important strategy for addressing the declining population dividend in China under the new development paradigm. Based on the panel data of 290 prefecture-level cities in China from 2010 to 2021, this paper uses environmental tax as a quasi-natural experiment, and adopts a DID model to explore the impact of market-based environmental regulation on the residents' health. The results show that the implementation of environmental tax can significantly reduce the population mortality rate, indicating an enhancement in residents' health outcomes. Mechanism analysis shows that environmental tax mainly relies on air quality to improve the residents' health. Also, the heath effect of environmental tax will be effective with the increase of income, and it's stronger in administrative border areas. Heterogeneity analysis shows that the effect of environmental tax on residents' health in western regions and resource-based cities is significantly stronger than those in central and eastern regions and non-resource-based cities. This paper provides new evidence for a comprehensive understanding of the impact of market-based environmental regulations on residents' well-being, offering insights for the implementation of green development strategies.

Unexpected bat community changes along an urban-rural gradient in the Berlin-Brandenburg metropolitan area.

Urbanization gradients are increasingly used in ecological studies to discover responses of species communities to different intensities of human-induced habitat transformation. Here, we investigated patterns of bat communities against the background of different urbanization levels using a priori defined urbanization categories based on distance classes (5 km intervals) along a linear transect from the urban core of the city of Berlin westwards into the rural outskirts of the state of Brandenburg. Using linear-mixed effects models, we found that "distance class", as a proxy for urbanization level, is a meaningful and suitable predictor of bat species richness and diversity. We observed an unexpectedly sudden increase in bat species richness and diversity and changes in species-specific activity levels relatively close to the urban center at the transition between urban and peri-urban areas. This change suggests a relevant influence of the peri-urban areas as a "buffer zone" for specific bat species not able to adapt to the heavily modified inner core of the metropolitan area. Although we could demonstrate that anthropogenic noise and artificial light have the potential to predict the variability of bat species activity along the urban-rural gradient, the actual influence on observed shifts in the bat community needs further research.

Uncovering physical activity trade-offs in transportation policy: A spatial agent-based model of Bogotá, Colombia.

BACKGROUND: Transportation policies can impact health outcomes while simultaneously promoting social equity and environmental sustainability. We developed an agent-based model (ABM) to simulate the impacts of fare subsidies and congestion taxes on commuter decision-making and travel patterns. We report effects on mode share, travel time and transport-related physical activity (PA), including the variability of effects by socioeconomic strata (SES), and the trade-offs that may need to be considered in the implementation of these policies in a context with high levels of necessity-based physical activity. METHODS: The ABM design was informed by local stakeholder engagement. The demographic and spatial characteristics of the in-silico city, and its residents, were informed by local surveys and empirical studies. We used ridership and travel time data from the 2019 Bogotá Household Travel Survey to calibrate and validate the model by SES. We then explored the impacts of fare subsidy and congestion tax policy scenarios. RESULTS: Our model reproduced commuting patterns observed in Bogotá, including substantial necessity-based walking for transportation. At the city-level, congestion taxes fractionally reduced car use, including among mid-to-high SES groups but not among low SES commuters. Neither travel times nor physical activity levels were impacted at the city level or by SES. Comparatively, fare subsidies promoted city-level public transportation (PT) ridership, particularly under a 'free-fare' scenario, largely through reductions in walking trips. 'Free fare' policies also led to a large reduction in very long walking times and an overall reduction in the commuting-based attainment of physical activity guidelines. Differential effects were observed by SES, with free fares promoting PT ridership primarily among low-and-middle SES groups. These shifts to PT reduced median walking times among all SES groups, particularly low-SES groups. Moreover, the proportion of low-to-mid SES commuters meeting weekly physical activity recommendations decreased under the 'freefare' policy, with no change observed among high-SES groups. CONCLUSIONS: Transport policies can differentially impact SES-level disparities in necessity-based walking and travel times. Understanding these impacts is critical in shaping transportation policies that balance the dual aims of reducing SES-level disparities in travel time (and time poverty) and the promotion of choice-based physical activity.

Understanding life satisfaction among the original inhabitants in the suburbanized areas at the outskirts of a major city: a qualitative study.

PURPOSE: Suburbanization has become a major characteristic of urban development in sub-Saharan Africa, and shifting from agricultural-based areas modus vivendi to urban lifestyles affects subjective wellbeing of the original settlers. While there is lack of evidence in the literature of wellbeing in these areas, this study examines life satisfaction of these populations by means of individuals' own appreciation and evaluation of quality of life. METHODS: The study uses interpretionist and reflexive approaches, and analyses 76 interviews conducted through snowball sampling in two major suburbanized areas. Thematic analysis was used to analyse the data. RESULTS: Generally, the findings show that respondents are satisfied with material living conditions due to improvement of availability of economic opportunities, roads and other transport services, social and community support. However, income inequality and urban poverty result in the inability to afford modern and high-quality urban living conditions, which creates feelings of vulnerability while limiting social relationships. CONCLUSIONS: There is a need to strenghten existing frameworks to fully respond to urban life requirements that relate to transport, education, hygiene, and sanitation services. It is also important to develop support systems that mitigate issues of gender discrimination, human rights, household decision-making, fashion, and cultural norms.

Status of age-friendly city indicators in Iran cities: a systematic review.

BACKGROUND: The global phenomena of an increasing older population within the total population and the rise in urban older residents have prompted numerous studies on the indicators of an age-friendly city in various Iranian cities. The insights obtained from these studies can aid policymakers in promoting social justice for older adults. Thus, this study aimed to investigate the status of age-friendly city indicators across different cities in Iran. METHOD/DESIGN: A systematic review was conducted by searching for studies in Persian and English databases until March 2024, including Pubmed, Web of Science, Scopus, Cochrane, Google Scholar, and ScienceDirect, using keywords such as "age-friendly", "elderly-friendly", "cities", "older adults", "aging", "elderly", "indicators", "components", "criteria", "features", "characteristics", "indexes", "Iran", and "urban space", along with their MeSH equivalents, employing "AND" and "OR" operators. Additionally, Persian databases such as Magiran and SID were extensively searched using keywords like "elderly-friendly", "city", "urban spaces", "Iran", "indicators", "components", "features", and "criteria". The references of the final articles were also examined to ensure search accuracy. The results from the studies on the indicators of an age-friendly city were reviewed, summarized, and ultimately reported. RESULTS: The initial search yielded 2857 articles, of which 34 were included in the systematic review. Only two studies addressed the indicators based on the needs of the older adults, with the majority reporting unfavorable urban conditions for the older adults. Despite these unfavorable conditions, the index of open spaces and buildings received the highest rank among the examined indicators. However, two indicators-respect for older adults, social acceptance, civic participation, and employment- did not perform well in any study. CONCLUSION: The findings indicated that Iran failed to meet the required standards for age-friendly cities. Therefore, it is recommended that policymakers in the field of geriatric health take measures to identify and mitigate environmental risk factors for older adults. TRIAL REGISTRATION: This systematic review was registered on the Prospero database with the number CRD42023475657 on date 8 November 2023.

Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities.

BACKGROUND: Model-estimated air pollution exposure products have been widely used in epidemiological studies to assess the health risks of particulate matter with diameters of ≤2.5 µm (PM2.5). However, few studies have assessed the disparities in health effects between model-estimated and station-observed PM2.5 exposures. METHODS: We collected daily all-cause, respiratory and cardiovascular mortality data in 347 cities across 15 countries and regions worldwide based on the Multi-City Multi-Country collaborative research network. The station-observed PM2.5 data were obtained from official monitoring stations. The model-estimated global PM2.5 product was developed using a machine-learning approach. The associations between daily exposure to PM2.5 and mortality were evaluated using a two-stage analytical approach. RESULTS: We included 15.8 million all-cause, 1.5 million respiratory and 4.5 million cardiovascular deaths from 2000 to 2018. Short-term exposure to PM2.5 was associated with a relative risk increase (RRI) of mortality from both station-observed and model-estimated exposures. Every 10-µg/m3 increase in the 2-day moving average PM2.5 was associated with overall RRIs of 0.67% (95% CI: 0.49 to 0.85), 0.68% (95% CI: -0.03 to 1.39) and 0.45% (95% CI: 0.08 to 0.82) for all-cause, respiratory, and cardiovascular mortality based on station-observed PM2.5 and RRIs of 0.87% (95% CI: 0.68 to 1.06), 0.81% (95% CI: 0.08 to 1.55) and 0.71% (95% CI: 0.32 to 1.09) based on model-estimated exposure, respectively. CONCLUSIONS: Mortality risks associated with daily PM2.5 exposure were consistent for both station-observed and model-estimated exposures, suggesting the reliability and potential applicability of the global PM2.5 product in epidemiological studies.

Increasing coverage and uptake of voluntary family planning in Uganda's emerging municipalities and secondary cities: An implementation research study protocol.

INTRODUCTION: While urban areas are often perceived to have better access to healthcare services, including modern family planning (FP) services, urban dwellers including those with better socioeconomic status are faced with multidimensional challenges that shape their access to appropriate FP services. In Uganda's urban spaces, there is currently a lack of understanding among service providers, civil society organizations, and individuals/communities regarding the implementation of interventions that promote informed choice and voluntary use of family planning services. This knowledge gap has profound implications for reproductive rights. This study seeks to enhance existing efforts towards increasing coverage and uptake of Voluntary Family Planning (VFP) in Jinja City and Iganga Municipality, central eastern Uganda. Our primary question is, "What interventions can effectively be packaged and delivered to increase the uptake of VFP among different segments of urban residents?" METHODS: We propose to use the Human-Centered Design (HCD) approach to understand the needs and challenges of users and community capabilities in ensuring access to VFP services. Co-creating with stakeholders' engagement and a data-driven-centric approach will steer design and adaptation that respond to the different population segments within the urban space. As such, the study will be implemented in three phases: formative assessment, design and implementation, and implementation monitoring and evaluation. The implementation process will incorporate robust monitoring, learning, and adaptation mechanisms. The primary focus of these mechanisms will be to utilize gathered information effectively to inform the design of the implementation and facilitate continuous learning throughout the process. The study will apply a process monitoring and evaluation approach to address questions related to what package of FP interventions work, for whom, under what circumstances and why. DISCUSSION: Guided by strong learning and implementation flexibility, we hypothesize that our implementation will provide segmentation-specific high-impact interventions in an urban context. REGISTRATION: This implementation research protocol has been registered on the Open Science Framework (OSF) repository Registries (https://osf.io/vqxu9; DOI: 10.17605/OSF.IO/VQXU9).

Decoding temporal patterns and trends of PM10 pollution over Delhi: a multi-year analysis (2015-2022).

The current study delved into an extensive analysis of multi-year observations on PM10 to have trends at various time scales in Delhi, India. High-resolution ground observations from all 37 monitoring stations from 2015 to 2022 were used. This study used non-parametric generalized additive model (GAM) based smooth-trend and Theil-Sen slope estimator techniques to analyze temporal trends and variations. The long-term PM10 concentration, both in its ambient and de-seasonalized forms, exhibited a statistically significant decreasing trend. An average decrease of - 7.57 [95% confidence interval (CI) - 16.51, 0.18] µg m-3 year-1 for ambient PM10 and - 8.45 [95% CI - 11.96, - 5.58] µg m-3 year-1 for de-seasonalized PM10 mass concentration was observed. Breaking it down into seasons, we observed significant declines in PM10 concentrations during monsoon (- 10.71 µg m-3 year-1, p < 0.1) and post-monsoon (- 7.49 µg m-3 year-1, p < 0.001). On the other hand, summer and winter displayed statistically insignificant declining trends of - 5.32 µg m-3 year-1 and - 6.06 µg m-3 year-1, respectively. Remarkably, all months except March displayed declining PM10 concentrations, suggesting a gradual reduction in particle pollution across the city. Further analysis of PM10 across various wind sectors revealed a consistent decreasing trend in all wind directions. The most substantial decrease was observed from the northwest (- 10.24 µg m-3 year-1), while the minimum reduction occurred from the east (- 5.67 µg m-3 year-1). Throughout the 8-year study period, the daily average PM10 concentration remained at 228 ± 124 µg m-3, ranging from 33 to 819 µg m-3. Seasonal variations were apparent, with concentrations during winter, summer, monsoon, and post-monsoon seasons averaging 279 ± 133, 224 ± 117, 135 ± 95, and 323 ± 142 µg m-3, respectively. November had the highest and August had the lowest concentration. Weekend PM10 concentration is slightly lower than weekdays. These findings emphasize the need for more stringent government action plans.

Can carbon reduction policies promote sustainable construction development? Evidence from China's green building market.

Carbon emissions have become a global challenge, and China, as the world's largest developing country, has a serious emissions problem. Developing green buildings is an important way of reducing carbon emissions. China's low-carbon city pilot policy may be an effective way of promoting green building development and reducing these emissions. This study uses the low carbon city pilot policy as a quasi-natural experiment and employs the staggered difference-in-differences method to investigate its impact on green building development. The results show that the low-carbon city pilot policy promotes green building development, and this policy promotes it by enhancing regional green innovation capacity, improving green total factor productivity at the firm and regional levels, and reducing the financing constraints of firms in the construction and real estate sectors. In addition, the promotion effect of the policy on green building development is stronger in western and non-resource-based regions and large-scale cities in China. This study contributes to the literature related to environmental policy, green building, and carbon emissions and supports the promotion of green building development and the reduction of carbon emissions.

Can low-carbon cities pilot policy promote enterprise sustainable development? Quasi-experimental evidence from China.

With the predicament of sustainable improvement in traditional cities, the low-carbon city pilot policy (LCCPP), as a novel development mode, provides thinking for resolving the tensions of green development, resource conservation and environmental protection among firms. Using Chinese A-share listed companies panel data during 2007-2019, this study adopts the difference-in-differences model to explore the impact of LCCPP on firm green innovation. Based on theoretical analysis, LCCPP-driven environmental rules have the impact of encouraging business green innovation. The relationship between LCCPP and green innovation is strengthened by external media attention and organizational redundancy resources. The mechanism study shows that the incentive effect of LCCPP on firm green innovation is mainly due to the improvement of enterprises' green total factor productivity and financial stability. In addition, the heterogeneity analysis shows that the LCCPP has significantly positive effects in promoting green innovation in high-carbon industries and state-owned enterprises. This research contributes to the understanding of city-level low-carbon policies as a driving force for corporate green innovation, offering practical implications for policymakers and businesses striving for sustainability.

Long-term, medium-term and acute stress response of urban populations of Eurasian red squirrels affected by different levels of human disturbance.

Animals in urban areas often encounter novel and potentially stressful conditions. It is important to understand how wildlife cope with anthropogenic disturbance. To investigate this specific adaptation we live-trapped squirrels in two study sites in Warsaw: a forest reserve and an urban park and we estimated stress responses at three levels: long-term and medium-term stress (the level of stress hormones, i.e. cortisol and cortisone concentrations, in hair and feces) and acute reaction to human-induced stress (measured during handling with the aid of the three indices: breath rate, struggle rate, and vocalization). According to GLMM models no difference in the stress hormones level was found between the two populations. The only differences in cortisol concentrations clearly depended on the season, i.e. being higher in autumn and winter comparying to other seasons. There was no influence of sex, or reproductive status on stress hormones. Forest squirrels had significantly higher breath rates, suggesting they were more stressed by handling. There was no difference in the struggle rate between study areas, this index was mostly affected by season (i.e. being highest in winter). First-trapped squirrels vocalized less than during the subsequent trappings. Assumingly, during the first, and more stressful trapping, squirrels used 'freezing' and/or little vocalization, while during next captures they used alarm calls to warn conspecifics. Overall, we showed that the two squirrel populations differed only in terms of their breath rate. This suggests that they did not differ in medium-term and long-term stress in general, but they can differ in acute response to handling. This also suggests that both populations were similarly affected by environmental factors. The lack of clear effects may also be due to population heterogeneity. Thus, in order to assess the effects of anthropogenic stressors a broader range of indicators and diverse analytical methods, including behavioral analyses, should be employed.

Prediction of tuberculosis clusters in the riverine municipalities of the Brazilian Amazon with machine learning.

OBJECTIVE: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a significant burden in Brazil and its Amazonian region. This study focused on the "riverine municipalities" and hypothesizes the presence of TB clusters in the area. We also aimed to train a machine learning model to differentiate municipalities classified as hot spots vs. non-hot spots using disease surveillance variables as predictors. METHODS: Data regarding the incidence of TB from 2019 to 2022 in the riverine town was collected from the Brazilian Health Ministry Informatics Department. Moran's I was used to assess global spatial autocorrelation, while the Getis-Ord GI* method was employed to detect high and low-incidence clusters. A Random Forest machine-learning model was trained using surveillance variables related to TB cases to predict hot spots among non-hot spot municipalities. RESULTS: Our analysis revealed distinct geographical clusters with high and low TB incidence following a west-to-east distribution pattern. The Random Forest Classification model utilizes six surveillance variables to predict hot vs. non-hot spots. The machine learning model achieved an Area Under the Receiver Operator Curve (AUC-ROC) of 0.81. CONCLUSION: Municipalities with higher percentages of recurrent cases, deaths due to TB, antibiotic regimen changes, percentage of new cases, and cases with smoking history were the best predictors of hot spots. This prediction method can be leveraged to identify the municipalities at the highest risk of being hot spots for the disease, aiding policymakers with an evidenced-based tool to direct resource allocation for disease control in the riverine municipalities.

The hidden severity of the COVID-19 pandemic in children and adolescents in Brazil: a territorial analysis of hospital mortality. / A gravidade oculta da pandemia de COVID-19 em crianças e adolescentes no Brasil: uma análise territorial da mortalidade hospitalar.

This article aims to describe the geographical distribution of hospital mortality from COVID-19 in children and adolescents during the 2020-2021 pandemic in Brazil. Ecological, census study (SIVEP GRIPE) with individuals up to 19 years of age, hospitalized with SARS due to COVID-19 or SARS not specified in Brazilian municipalities, stratified in two ways: 1) in the five macro-regions and 2) in three urban agglomerations: capital, municipalities of the metropolitan region and non-capital municipalities. There were 44 hospitalizations/100,000 inhabitants due to COVID-19 and 241/100,000 when including unspecified SARS (estimated underreporting of 81.8%). There were 1,888 deaths by COVID-19 and 4,471 deaths if added to unspecified SARS, estimating 57.8% of unreported deaths. Hospital mortality was 2.3 times higher in the macro-regions when considering only the cases of COVID-19, with the exception of the North and Center-West regions. Higher hospital mortality was also recorded in non-capital municipalities. The urban setting was associated with higher SARS hospital mortality during the COVID-19 pandemic in Brazil. Living in the North and Northeast macro-regions, and far from the capitals offered a higher risk of mortality for children and adolescents who required hospitalization.

O objetivo deste artigo é descrever a distribuição geográfica da mortalidade hospitalar por COVID-19 em crianças e adolescentes durante a pandemia de 2020-2021 no Brasil. Estudo ecológico, censitário (SIVEP GRIPE), de indivíduos até 19 anos, internados com SRAG por COVID-19 ou SRAG não especificada, em municípios brasileiros, estratificados de duas formas: 1) nas cinco macrorregiões e 2) em três aglomerados urbanos: capital, municípios da região metropolitana e do interior. Verificou-se 44 internações/100 mil habitantes por COVID-19 e 241/100 mil ao se incluir a SRAG não especificada (subnotificação estimada de 81,8%). Ocorreram1.888 óbitos por COVID-19 e 4.471 óbitos se somados à SRAG não especificada, estimando-se subnotificação de 57,8% dos óbitos. A mortalidade hospitalar foi 2,3 vezes maior nas macrorregiões quando considerados apenas os casos de COVID-19, com exceção das regiões Norte e Centro-Oeste. Registrou-se também maior mortalidade hospitalar em municípios do interior. O contexto urbano esteve associado à maior mortalidade hospitalar por SRAG durante a pandemia de COVID-19 no Brasil. Residir nas macrorregiões Norte e Nordeste, e distante das capitais, ofereceu maior risco de mortalidade para crianças e adolescentes que necessitaram hospitalização.

Territorial dynamics of highly complex health services in the Belém Metropolitan Region, Brazil: is specialized health care subsidized by the SUS? / A territorialidade da alta complexidade na Região Metropolitana de Belém, Brasil: a saúde especializada é subsidiada pelo SUS?

This article presents an analysis of the territorial dynamics of the specialized healthcare network, focusing on medium and high complexity care in hospitals in the municipalities that make up the Belém Metropolitan Region. The analysis is based on secondary data from DATASUS available on the National Health Facility Registry (CNES) up to January 2022. The findings show that the private network accounts for the largest proportion of services in the region; however, the service capacity of the SUS is greater than that of the private sector due to the large volume of services outsourced to private facilities via public-private partnerships, with philanthropic hospitals allocating the largest proportion of services to public patients. This should not be confused with universal coverage, as public patient access to private services may be restricted by legal and institutional barriers depending on the form of access (open-door or closed-door).

O artigo apresenta uma análise sobre a atuação da rede de atenção especializada do SUS, com a delimitação dos serviços de média e de alta complexidade da rede hospitalar dos municípios que compõem a Região Metropolitana de Belém. A discussão se fundamenta na revisão dos dados secundários captados na plataforma do DATASUS e disponibilizados no Cadastro Nacional de Estabelecimentos de Saúde do Brasil (CNES) até janeiro de 2022. Constatou-se que a territorialidade da alta complexidade é formada majoritariamente pela rede privada, contudo a capacidade de atendimento da rede SUS sobrepôs à oferta direcionada ao atendimento não universal, em razão da ampla reserva de serviços privados ao convênio SUS, na qual os hospitais filantrópicos apresentaram maior disposição à demanda universal. Em contrapartida, a ampla presença do Estado nos serviços de alta complexidade não deve ser pensada como uma cobertura universal, devido ao fato de as formas de acesso a esses serviços apresentarem filtros de natureza jurídico-institucional, ou, em outras palavras, o que o SUS denomina de hospitais de portas abertas ou fechadas.

The use of Urban Forest Parks to improve human-nature relations and cognitive ability performance in older adults.

At present more than 50% of the human population of Planet Earth, live in urban areas. The natural environment is changed considerably by cities: increase of population, productions of tons of waste, daily, change of biodiversity. The relationships human-nature were disrupted in cities due to the artificial construction of infrastructure. In order to protect biodiversity and recover nature in cities, Urban Forest Parks, as part of green infrastructure are a very important action. At the same time the psycology of urban populations can be improved. The use of Urban Forest Parks to improve social relations, education, physical activities in older adults can improve their cognitive ability and performance.

Establishing a river health evaluation index system for seven rivers in Jiamusi City of China.

The Jiamusi section of the Songhua River is one of the first 17 model river construction sections in China. The implementation of river health assessments can determine the health dynamics of rivers and test the management's effectiveness. Targeting seven rivers, this study conducted river zoning and monitoring point deployment to conduct sufficient field research and monitoring. The authors selected hydrological and water resources, physical structure, water quality, aquatic life, social service functions, and management as guideline layers and 15 indicator layers. Subsequently, the authors established an evaluation index system to evaluate and analyze the ecological status and social service status of each river. The results showed that the Yindamu, Alingda, and Gejie rivers scored well as healthy rivers, with health evaluation scores of 78.98, 76.06, and 75.83, respectively. The Wangsanwu, Lujiagang, and Lingdangmai rivers are generally sub-healthy rivers with scores of 71.55, 67.97, and 60.7, respectively. The Yinggetu River has a score of 54.52 and is therefore assessed as unhealthy. Based on the scientific evaluation index method, this study analyses the current river health state in Jiamusi City to provide the basis for the evaluation of the river chief's work and future river management.

Research on the connectivity of urban river network-wetland and water quality simulation.

The connectivity of urban river networks plays an important role in cities in many aspects, such as urban water safety, water quality (WQ), and aquatic ecological balance. This study focuses on the river network and the Majiawan Wetland in the Chaoyang District of Beijing by establishing a two-dimensional hydrological WQ model employing various water allocation schemes between the river network and the wetland. Water circulation and WQ are the main indexes, and the effects of different scenarios on improving water circulation and WQ are simulated and compared. This study demonstrates that the addition of water replenishment at the intersection of river network and internal slow-water zones of the wetland (Scheme 2) has greater effectiveness in improving both hydrology and WQ compared to two other schemes. The water area of the Majiawan Wetland has expanded, and water velocity has increased. Using chemical oxygen demand, total nitrogen, and total phosphorus as the index values for determining the water class, the WQ of about 20% of the wetland area was reached Water Class II (domestic drinking water), with Water Class III (general industrial water) accounting for the other 80%. This study provides valuable evaluation and reference for similar areas of urban river network connectivity.

Assessment of the surface water quality and primary health risk in urban wastewater and its receiving river Kathajodi, Cuttack of eastern India.

Kathajodi, the principal southern distributary of the Mahanadi River, is the vital source of irrigation and domestic water use for densely populated Cuttack city which receives anthropogenic wastes abundantly. This study assesses the contamination level and primary health status of urban wastewater, and its receiving river Kathajodi based on the physicochemical quality indices employing inductively coupled plasma mass spectroscopy and aligning with guidelines from the United States Environmental Protection Agency (USEPA) and WHO. The high WQI, HPI, and HEI in the catchment area (KJ2, KJ3, and KJ4) indicate poor water quality due to the influx of domestic waste through the primary drainage system and effluents of healthcare units. A high BOD (4.33-19.66 mg L-1) in the catchment indicates high organic matter, animal waste, bacteriological contamination, and low DO, resulting in deterioration of water quality. CR values beyond limits (1.00E - 06 to 1.00E - 04) in three locations of catchment due to higher Cd, Pb, and As indicate significant carcinogenic risk, while high Mn, Cu, and Al content is responsible for several non-carcinogenic ailments and arsenic-induced physiological disorders. The elevated heavy metals Cd, Cu, Fe, Mn, Ni, and Zn, in Kathajodi, could be due to heavy coal combustion, vehicle exhaust, and industrial waste. On the other hand, Cu, Fe, K, and Al could be from agricultural practices, weathered rocks, and crustal materials. Positive significant (p ≤ 0.05) Pearson correlations between physicochemical parameters indicate their common anthropogenic origin and similar chemical characteristics. A strong correlation of PCA between elements and physiological parameters indicates their role in water quality deterioration. Assessing the surface water quality and heavy metal contents from this study will offer critical data to policymakers for monitoring and managing public health concerns.