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Development of a PCA-derived water quality index model for monitoring the urban river systems in Dhaka City, Bangladesh 开发pca衍生的水质指数模型,用于监测孟加拉国达卡市的城市河流系统
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-04 DOI: 10.1016/j.cacint.2025.100276
Md Mahmud Kamal Bhuiyan , Hridoy Roy , Kazi Saidur Rahman , Bimol Nath Roy , Md. Al Amin Kabir Bhuyan , Md. Rezaul Maksud Jahedi , Md. Shahinoor Islam
In this study, a Water Quality Index (WQI) model was developed to assess the water quality of the major rivers in Dhaka city, including Buriganga, Balu, Turag, and Sitalakhya, based on a comprehensive dataset collected across four seasons (dry, pre-monsoon, monsoon, post-monsoon) in 2024. A total of 144 water samples were analyzed for 16 water quality parameters, and principal component analysis (PCA) combined with correlation analysis was applied to identify eight key parameters: pH, dissolved oxygen (DO), total solids (TS), chemical oxygen demand (COD), chloride, ammonia–nitrogen, E. coli, and total coliform. Sub-indexing was performed using quality rating curves provided by NSF-WQI and a linear interpolation function to transform parameter values into standardized scores. PCA was used again to assign weights based on eigenvalues, a data-driven approach to parameter weighting, with TS (0.215) and ammonia–nitrogen (0.199) contributing most to pollution levels. The final WQI, calculated using a weighted aggregation function, ranged from 29.78 to 77.96, with Buriganga exhibiting the poorest water quality (mean WQI: 46.85) and Sitalakhya the best (mean WQI: 57.10). Seasonal variations revealed that the dry season WQI reached as low as 29.78, while dilution during the monsoon season improved water quality to a maximum of 74.29. Statistical analysis confirmed significant temporal (p < 0.001) and spatial (p < 0.001) variations in water quality. Sensitivity analysis identified TS, COD, and chloride as the most influential parameters. This study presents a robust, data-driven WQI model for efficient monitoring and management of water quality in Dhaka.
在本研究中,基于2024年四个季节(旱季、季风前、季风后)收集的综合数据集,开发了水质指数(WQI)模型,以评估达卡市主要河流的水质,包括Buriganga、Balu、Turag和Sitalakhya。对144份水样的16个水质参数进行了分析,采用主成分分析(PCA)结合相关分析,确定了8个关键参数:pH、溶解氧(DO)、总固体(TS)、化学需氧量(COD)、氯化物、氨氮、大肠杆菌和总大肠菌群。采用NSF-WQI提供的质量评定曲线和线性插值函数进行分标,将参数值转化为标准化分数。再次使用主成分分析法根据特征值分配权重,这是一种数据驱动的参数加权方法,其中TS(0.215)和氨氮(0.199)对污染水平的贡献最大。利用加权聚集函数计算的最终WQI范围为29.78 ~ 77.96,其中Buriganga最差(平均WQI为46.85),Sitalakhya最好(平均WQI为57.10)。季节变化表明,旱季WQI低至29.78,而季风期的稀释使水质改善至74.29。统计分析证实了显著的时间(p < 0.001)和空间(p < 0.001)水质变化。敏感性分析发现TS、COD和氯化物是影响最大的参数。本研究提出了一个强大的、数据驱动的WQI模型,用于达卡水质的有效监测和管理。
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引用次数: 0
Corrigendum to “Citizen perceptions on the use, management and availability of green spaces in a Mediterranean region” [City Environ. Interact. 27 (2025) 100210] “地中海地区市民对绿色空间的使用、管理和可用性的看法”[城市环境]的更正。交互。27 (2025)100210]
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100220
Daniel Jato-Espino , Fabio Capra-Ribeiro , Vanessa Moscardó , Laura O. Gallardo
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引用次数: 0
Inclusive public spaces for vulnerable populations: assessing needs and social implications for Bangkok Metropolitan area 弱势群体的包容性公共空间:评估曼谷大都市区的需求和社会影响
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100272
Warawoot Chuangchai , Wiraporn Pothisiri
Vulnerable populations face increased risks of social violence and discrimination in public spaces, especially in the Global South. Despite growing interest in inclusive design to address these issues, understanding of their experiences and expectations remains inadequate. This study aimed to identify the specific needs for public spaces among people with disabilities in Bangkok, Thailand. A total of 407 individuals with disabilities were contacted and classified into eight disability categories. Of these, 384 participants completed a quantitative survey, and a subset of 23 individuals participated in in-depth interviews to explore their experiences and needs in greater detail. A key finding from the interviews was that many vulnerable individuals expressed a preference for public areas separated from the general public. This preference was voiced by over 60 percent across all gender groups. Beyond physical accessibility challenges, safety concerns related to socially negative behaviors shaped their preferences. Risks of sexual assault (mainly by non-disabled men against women with disabilities), discrimination, and social judgment were identified as threats to public safety. Those willing to share spaces with the general public often expressed hesitance to reveal their impairments publicly, fearing social attention, danger, and stigma. The study argues that providing physical access alone is insufficient; addressing social barriers is essential to creating secure, inclusive environments. The findings underscore the need to prioritize vulnerable populations’ needs in inclusive design, social spaces, and public policy.
弱势群体在公共场所面临越来越大的社会暴力和歧视风险,尤其是在全球南方。尽管人们对解决这些问题的包容性设计越来越感兴趣,但对他们的经历和期望的理解仍然不足。本研究旨在确定泰国曼谷残疾人对公共空间的具体需求。共联系了407名残疾人,并将其分为8类。其中,384名参与者完成了定量调查,另有23人参加了深度访谈,以更详细地探讨他们的经历和需求。访谈的一个重要发现是,许多弱势群体表示,他们更喜欢远离公众的公共区域。在所有性别群体中,超过60%的人表示了这种偏好。除了物理无障碍的挑战,与社会消极行为有关的安全问题影响了他们的偏好。性侵犯(主要是非残疾男性对残疾女性的性侵犯)、歧视和社会评判的风险被认为是对公共安全的威胁。那些愿意与公众分享空间的人往往对公开展示自己的缺陷表示犹豫,担心社会关注、危险和耻辱。该研究认为,仅提供物理通道是不够的;消除社会障碍对于创造安全、包容的环境至关重要。研究结果强调,需要在包容性设计、社会空间和公共政策方面优先考虑弱势群体的需求。
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引用次数: 0
Corrigendum to “Urban growth assessment using machine learning algorithms, GIS techniques, and its impact on biodiversity: The case of Sululta sub-city, Central Oromia, Ethiopia” [City Environ. Interact. 23 (2024) 100151] “使用机器学习算法、GIS技术的城市增长评估及其对生物多样性的影响:以埃塞俄比亚中奥罗米亚州Sululta副城市为例”[城市环境]。交互,23 (2024)100151]
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100230
Birhanu Tadese Edosa , Mosissa Geleta Erena , Bayisa Nagasa Wolteji , Guta Tolossa Werati , Milkessa Dangia Nagasa
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引用次数: 0
Study of heat wave events by the thermophysiological comfort indexes in Khulna City, Bangladesh, during pre-monsoon and monsoon seasons 利用热生理舒适指数研究孟加拉国库尔纳市季风前和季风季节的热浪事件
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100275
Flora Rahman , M.D. Hossain , Md. A.E. Akhter
Bangladesh is currently facing an intensifying heat wave crisis, with rising temperatures severely impacting health, agriculture, and daily life. This study focuses on the features and effects of heat wave episodes in Khulna city, Bangladesh, during the pre-monsoon and monsoon seasons. Seven significant heat wave events are simulated using the Weather Research and Forecasting (WRF) model between March and October. The data from the National Centers for Environmental Prediction (NCEP) have been used to determine the initial and lateral boundary conditions. The RayMan-Pro model is utilized to compute thermophysiological comfort indexes using the simulated data and observed data from the Bangladesh Meteorological Department (BMD). The study discusses determining the Physiological Equivalent Temperature (PET), Standard Effective Temperature (SET*), Universal Thermal Climate Index (UTCI), and Predicted Mean Vote (PMV) to evaluate human comfort levels under extreme heat conditions. The findings reveal that maximum observed and simulated temperatures (PET, SET*, UTCI, PMV) exceed 41 °C, with PMV reaching +5, indicating extraordinarily hot circumstances. The average feel-like temperature and humidity are also studied by the survey of open-ended and closed-ended questions, where the average feel-like temperature and humidity are noted as 43.42 °C and 88.12 %, respectively. These results underscore the effectiveness of the RayMan-Pro model in mimicking actual environmental conditions and computing the Human Comfort Index (HCI) over Khulna city. The thorough investigation provides valuable insights into the anticipated effects of heat waves in Khulna city, offering crucial guidance for developing proactive measures to safeguard public health and enhance heat wave preparedness.
孟加拉国目前正面临日益严重的热浪危机,气温上升严重影响健康、农业和日常生活。本研究的重点是孟加拉国库尔纳市在季风前和季风季节的热浪事件的特征和影响。使用天气研究与预报(WRF)模式模拟了3月至10月期间的7次重大热浪事件。来自国家环境预测中心(NCEP)的数据被用来确定初始和横向边界条件。RayMan-Pro模型利用孟加拉国气象局(BMD)的模拟数据和观测数据计算热生理舒适度指数。该研究讨论了确定生理等效温度(PET)、标准有效温度(SET*)、通用热气候指数(UTCI)和预测平均投票(PMV)来评估极端高温条件下人类的舒适度。研究结果表明,最高观测和模拟温度(PET, SET*, UTCI, PMV)超过41°C, PMV达到+5,表明异常炎热的环境。平均感觉温度和湿度也通过开放式和封闭式问题的调查来研究,其中平均感觉温度和湿度分别为43.42°C和88.12%。这些结果强调了RayMan-Pro模型在模拟库尔纳市实际环境条件和计算人类舒适指数(HCI)方面的有效性。彻底的调查为了解热浪对库尔纳市的预期影响提供了宝贵的见解,为制定积极措施以保障公众健康和加强热浪防范提供了重要指导。
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引用次数: 0
Glow and flow: Urban lighting and the making of a vibrant waterfront in Lusail Marina, Qatar 辉光和流动:卡塔尔卢塞尔码头的城市照明和充满活力的海滨
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100266
Nasal Nazar, Goze Bayram, Amina Al-Kandari
Urban lighting shapes emotional and behavioral responses in public spaces, influencing perceptions of safety, comfort, and social engagement. This study investigates the psychological and behavioral implications of urban lighting along the Marina District waterfront in Lusail City, Qatar. A mixed-methods approach, combining lighting inventory, behavioral mapping, and user perception surveys (N = 40), was applied to examine how lighting characteristics affect user experience. Results indicate that moderate brightness levels (10–15 lx) and warm color temperatures (3000–3500 K) enhance visual comfort and sociability, while balanced illumination improves safety and orientation. Variations in tone and intensity supported diverse behavioral patterns across active and resting zones. The findings correspond with the Sense of Belonging framework, linking accessibility, comfort, sociability, and attachment. Sustainable and adaptive lighting strategies aligned with the Qatar National Vision 2030 are proposed to guide evidence-based, human-centered design for waterfront environments in Gulf urban contexts.
城市照明塑造公共空间的情感和行为反应,影响人们对安全、舒适和社会参与的看法。本研究调查了卡塔尔卢塞尔市滨海区滨水区城市照明的心理和行为影响。采用混合方法,结合照明清单、行为映射和用户感知调查(N = 40),研究了照明特性如何影响用户体验。结果表明,适度的亮度水平(10-15 lx)和温暖的色温(3000-3500 K)可以增强视觉舒适性和社交性,而平衡的照明可以提高安全性和定向性。音调和强度的变化支持了活动区和休息区的不同行为模式。研究结果与归属感框架相一致,将可及性、舒适度、社交性和依恋联系起来。可持续和适应性照明策略与卡塔尔2030年国家愿景相一致,以指导海湾城市环境中以人为本的滨水环境设计。
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引用次数: 0
Corrigendum to “Quantitative assessment of factors that influence heat vulnerability in residential areas using machine learning and unmanned aerial vehicle” [City and Environment Interactions 27 (2025) 100214] “利用机器学习和无人机对影响居民区热脆弱性的因素进行定量评估”[城市与环境互动27(2025)100214]的勘误表
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-12-01 DOI: 10.1016/j.cacint.2025.100224
Jawoon Gu , Dongwoo Kim , Chulmin Jun , Seungwoo Son
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引用次数: 0
An optimization study of the eco-tourism corridor in Shenyang in the context of China’s western industrial relocation 西部产业转移背景下沈阳生态旅游走廊优化研究
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-29 DOI: 10.1016/j.cacint.2025.100271
Weiting Shan, Yibo Li, Chenyang Li
Under the background of China’s “Western Migration” policy, Northeastern China faces development challenges such as population outflow, industrial restructuring, and urban function remodeling. In this context, tourism development has become a vital pathway to promote economic revitalization while safeguarding ecological health.This study takes Shenyang City as a case to investigate how urban green spaces and slow-moving systems (pedestrian and cycling paths) can be strategically integrated for the construction and optimization of eco-tourism corridors. Using ArcGIS-based buffer and overlay analyses, the spatial distribution variability and ecological characteristics of the slow-moving system were examined. The ecological corridors were evaluated in terms of accessibility, adaptability, and connectivity between green spaces and slow-moving paths.The results reveal that Shenyang’s green spaces have a single-function bias misaligned with residents’ needs, a hierarchical imbalance between the slow-moving system and green space configuration, lagging integration in older urban areas, and an uneven distribution of accessibility between residential areas and slow-moving networks.Based on these findings, an optimization model for Shenyang’s eco-tourism corridor was established, proposing spatial strategies to integrate green land resources and slow-moving paths from a citywide perspective. These strategies aim to create multi-functional ecological corridors that enhance urban economic vitality, improve ecological services, and strengthen the synergistic role of green spaces and slow-moving systems in sustainable urban development.
在中国“西部大迁移”的背景下,东北地区面临着人口外流、产业结构调整、城市功能重塑等发展挑战。在此背景下,发展旅游已成为促进经济振兴、维护生态健康的重要途径。本研究以沈阳市为例,探讨如何将城市绿地与慢行系统(步行道和自行车道)战略整合,以构建和优化生态旅游廊道。采用基于arcgis的缓冲层和覆盖层分析,研究了慢动系统的空间分布变异性和生态特征。对生态廊道的可达性、适应性以及绿色空间与慢行路径之间的连通性进行了评估。结果表明:沈阳城市绿地存在功能单一与居民需求错位、慢动系统与绿地配置层级失衡、老城区整合滞后、居住区与慢动网络可达性分布不均等问题。在此基础上,建立了沈阳市生态旅游廊道优化模型,并从城市层面提出了整合绿地资源和慢行路径的空间策略。这些战略旨在创建多功能生态走廊,增强城市经济活力,改善生态服务,加强绿色空间和慢动系统在可持续城市发展中的协同作用。
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引用次数: 0
Urban green spaces as a climate adaptation strategy. Case study in Geneva, Switzerland 城市绿地作为一种气候适应策略。瑞士日内瓦的案例研究
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-29 DOI: 10.1016/j.cacint.2025.100274
Sophie Lufkin, Emmanuel Rey
In a context marked by the urgency of climate change, dwindling resources, and environmental crisis, concrete action towards ecological transition and climate adaptation is a top priority for urban areas. In response to these multiple challenges, the research project “Maillages fertiles” seizes the opportunity of the reopening and renaturation of two urban rivers in Geneva, Switzerland, to explore the potential of innovative green open spaces as a climate adaptation strategy aimed at making the urban environment viable, desirable and resilient. The multi-criteria evaluation methodology, specifically designed to assess the project’s performance at the neighborhood scale, is based on three main steps: 1) the selection of Swiss and European best practice neighborhoods; 2) the establishment of theoretical reference values (RV) and the calculation of empirical average values (AV); 3) the synoptic presentation of the results based on a qualitative aggregation method. The results show that, given the scale of the climate adaptation challenge, all avenues must be combined to achieve the ambitious goals of urban transition towards improved climate resilience.
在气候变化、资源减少和环境危机日益紧迫的背景下,采取具体行动实现生态转型和适应气候变化是城市地区的首要任务。为了应对这些多重挑战,研究项目“Maillages fertiles”抓住瑞士日内瓦两条城市河流重新开放和再生的机会,探索创新绿色开放空间作为气候适应战略的潜力,旨在使城市环境可行、理想和有弹性。多标准评估方法,专门用于评估项目在社区尺度上的表现,基于三个主要步骤:1)瑞士和欧洲最佳实践社区的选择;2)理论参考值(RV)的建立和经验平均值(AV)的计算;3)基于定性聚集法对结果进行概要介绍。研究结果表明,考虑到气候适应挑战的规模,必须将所有途径结合起来,以实现城市向提高气候适应能力转型的宏伟目标。
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引用次数: 0
Investigating the thermal impacts of rooftop solar panels in hot humid climate: Bahrain 调查在湿热气候下屋顶太阳能板的热影响:巴林
IF 3.8 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-11-26 DOI: 10.1016/j.cacint.2025.100273
Ashraf Mohamed Soliman , Abdul Munaf Mohamed Irfeey , Hing-Wah Chau , Elmira Jamei
The thermal influence of the Rooftop Building-Integrated Solar Photovoltaic (RBISPV) has been investigated through experimental configurations employing a solar panel alongside a MDF wooden panel for data collection. The study investigated the Bottom Surface Temperature of the panels (BST), the Rooftop Surface Temperature (RST) located beneath both panels, and at a distance of 1 meter from both panels. Readings were taken at three specific intervals: between sunrise and noon (T1); at noon (T2); and between noon and sunset (T3), during the summer and winter seasons in Bahrain, and analyzed across both panels. The findings indicate that in the summer season, the BST of the solar panel consistently surpassed that of the MDF wooden panel, exhibiting temperature differentials of 10.73 °C at (T1), 12.38 °C at (T2), and 4.22 °C at (T3). In the winter season, the solar panel exhibited heightened BST readings, reflecting differences of 9.55 °C at T1, 11.30 °C at T2, and 3.68 °C at T3. In contrast, the measurements of RST beneath the solar panel exhibited an increase of 3 °C and 1.4 °C during the summer, and an elevation of 1 °C and 0.7 °C in the winter, corresponding to (T1) and (T2), respectively. At (T3), the RST beneath the MDF wooden panel showed increases of 0.5 °C and 0.1 °C relative to the area beneath the solar panel in summer and winter, respectively. Measurements taken at a distance of 1 meter from the panels indicated that the temperatures adjacent to the solar panel rose by 0.9 °C and 1.6 °C in summer, and by 0.6 °C and 3.5 °C in winter, during (T2) and (T3), respectively. During (T1), the temperature adjacent to the MDF wooden panel recorded at a higher value of 2.1 °C in contrast to that near the solar panel. The results reveal a significant accumulation of heat from the RBISPV. Moreover, it emphasizes methods to reduce heat buildup on solar panels, as this thermal phenomenon contributes to the Urban Heat Island (UHI) effect, resulting in various negative environmental consequences, such as changes in weather patterns and global warming.
屋顶建筑集成太阳能光伏(RBISPV)的热影响已经通过实验配置进行了研究,该实验配置采用太阳能电池板和MDF木板进行数据收集。该研究调查了面板的底部表面温度(BST),位于面板下方的屋顶表面温度(RST),距离面板1米。读数在三个特定的间隔进行:日出和中午之间(T1);中午(T2);中午和日落(T3)之间,在巴林的夏季和冬季,并通过两个面板进行分析。结果表明,在夏季,太阳能板的BST始终优于MDF木板,在(T1)、(T2)和(T3)表现出10.73°C、12.38°C和4.22°C的温差。在冬季,太阳能电池板显示出较高的BST读数,反映了T1时9.55°C、T2时11.30°C和T3时3.68°C的差异。相比之下,太阳能电池板下的RST测量值在夏季分别增加了3°C和1.4°C,在冬季分别升高了1°C和0.7°C,分别对应于(T1)和(T2)。在(T3), MDF木板下的RST在夏季和冬季分别比太阳能板下面积增加0.5°C和0.1°C。在距离电池板1米的地方进行的测量表明,在(T2)和(T3)期间,太阳能电池板附近的温度在夏季分别上升0.9°C和1.6°C,在冬季分别上升0.6°C和3.5°C。在(T1)期间,与靠近太阳能板的温度相比,MDF木板附近的温度记录在2.1℃的较高值。结果显示,从RBISPV显著的热量积累。此外,它强调了减少太阳能电池板上热量积聚的方法,因为这种热现象有助于城市热岛效应,导致各种负面的环境后果,如天气模式的变化和全球变暖。
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