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Numerical evaluation of enhanced green infrastructures for mitigating urban heat in a desert urban setting

Building Simulation 2023年第9期16卷 1691-1712页

作者： Afifa Mohammed ansar khan Mattheos Santamouris Faculty of Built Environment University of New South WalesSydneyAustralia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia

The cities of desert climates are anticipated to recognize a synergy of urban heat island(UHI)and severe heat waves during *** improve the urban thermal environment,the present study aims quantitatively explore a strategically designed network of vegetation patches called green infrastructure(GI)in subtropical desert cities such as *** achieve a more comfortable temperature environment,we built and simulated four GI situations with higher GI fractions,GI25,GI50,GI75,and *** a mesoscale urban model,the mosaic approach is utilized to test potential thermal improvement and urban climate impact,and a portion of each urban grid cell in the model domain is altered with various species of urban vegetation patches by 25%,50%,75%,and 100%.The daily peak reduction in ambient temperature at 17:00LT is similar to 0.0168℃ per unit of GI increase when compared to the untreated scenario;however,the maximum anticipated daytime summer temperature decline for GI25,GI50,GI75,and GI100 is 0.6℃,1.1℃,1.4℃,and 1.7℃,*** associated reduction in nighttime ambient temperature per unit increase in the GI is 0.0432℃,with a maximum temperature drop of around 2.4℃ for the GI100 *** GI reduces the height of the planetary boundary layer(PBL)by up to 468 m,which might lead to greater pollution *** GI-based cooling has a significant influence on delayed sea breeze and humidity,it may raise the risk of heat discomfort in the indoor building *** study adds to our understanding of the potential for GI mitigation as well as the seasonal impact of developing GIs on the desert urban boundary layer.

关键词： green infrastructure heat mitigation urban heat WRF-SLUCM Dubai city

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Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities:Current trends and future outlook

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Building Simulation 2024年第5期17卷 695-722页

作者： Nilabhra Mondal Prashant Anand ansar khan Chirag Deb David Cheong Chandra Sekhar Dev Niyogi Mattheos Santamouris Department of Architecture and Regional Planning Indian Institute of Technology KharagpurKharagpurIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia School of Architecture Design and PlanningThe University of SydneyAustralia Department of the Built Environment National University of SingaporeSingapore Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinUSA DepartmentofCivil Architecturaland Environmental EngineeringThe Universityof Texas at AustinAustinUSA Faculty of Built Environment University of New South WalesAustralia

Energy demand fluctuations due to low probability high impact(LPHI)micro-climatic events such as urban heat island effect(UHI)and heatwaves,pose significant challenges for urban infrastructure,particularly within urban *** short term load forecasting(STLF)of buildings in urban micro-climatic setting(UMS)is obscured by the complex interplay of surrounding morphology,micro-climate and inter-building energy *** urban building energy modelling(UBEM)approaches to provide quantitative insights about building energy consumption often neglect the synergistic impacts of micro-climate and urban morphology in short temporal *** order modelling,unavailability of rich urban datasets such as building key performance indicators for building archetypes-characterization,limit the inter-building energy dynamics consideration into *** addition,mismatch of resolutions of spatio-temporal datasets(meso to micro scale transition),LPHI events extent prediction around UMS as well as its accurate quantitative inclusion in UBEM input organization step pose another degree of *** review aims to direct attention towards an integrated-UBEM(i-UBEM)framework to capture the building load fluctuation over multi-scale spatio–temporal *** highlights usage of emerging data-driven hybrid approaches,after systematically analysing developments and limitations of recent physical,data-driven artificial intelligence and machine learning(AI-ML)based modelling *** also discusses the potential integration of google earth engine(GEE)-cloud computing platform in UBEM input organization step to(i)map the land surface temperature(LST)data(quantitative attribute implying LPHI event occurrence),(ii)manage and pre-process high-resolution spatio-temporal UBEM *** the potential of digital twin,central structed data models to integrate along UBEM workflow to reduce uncertainties related to building archetype characterizat

关键词： urban heat island(UHI) urbanmicro-climate urban morphology urban building energy modelling(UBEM) digitaltwin shorttermload forecasting(STLF) googleearthengine(GEE)

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Urban scale rooftop super cool broadband radiative coolers in humid conditions

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Building Simulation 2024年第9期17卷 1629-1651页

作者： Rupali Khatun Debashish Das Samiran Khorat Sk Mohammad Aziz Prashant Anand Manju Mohan ansar khan Dev Niyogi Mattheos Santamouris School of Environmental Studies Jadavpur UniversityKolkataIndia Department of Architecture Jadavpur UniversityKolkataIndia Department of Chemistry Narajole Raj CollegeVidyasagar UniversityMidnaporeIndia Department of Architecture and Regional Planning Indian Institute of TechnologyKharagpurIndia Centre for Atmospheric Sciences Indian Institute of TechnologyDelhiIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia Department of Earth and Planetary Sciences Jackson School of GeosciencesUniversity of Texas at AustinAustinUSA Fariborz Maseeh Department of Civil Architecturaland Environmental EngineeringCockrell School of EngineeringUniversity of Texas at AustinAustinUSA School of Built Environment University of New South WalesSydneyAustralia

The presence of water molecules in the air can impact how super cool broadband radiative coolers *** humidity in the lower atmosphere traps infrared radiation,reducing heat sent back to outer *** this study,a mesoscale urban climate model is used to evaluate the newly developed super cool materials with broadband emissivity not selective in atmospheric window as an arsenal for urban heat management of tropical wet and dry cities like *** results suggest that the energy balance over urban domain has substantially been altered by the city scale deployment of super cool broadband radiative cooling materials on the building *** ratio and evaporative fraction values were found decreasing and increasing,respectively with a positive directional polynomial(R2=0.968)relationship,after the implementation of super cool broadband radiative cooling materials and in comparison,to the unmitigated *** high solar hour(14:00 LT),additional thermal variables of urban domain such as 2 m air temperature,surface skin temperature,urban canopy temperature,and roof surface temperature decrease by 2.3℃,5.4℃,0.8℃,and 31.7℃,*** super cool broadband materials achieve sub-ambient temperatures up to 11.7℃during peak hours,reduce surface wind speed by 2.5 m s−1,and lower the planetary boundary layer by 1475 *** average daytime drop is approximately 7.3℃,and at night,it is close to 2.4℃.Deployment induces a“regional high”over urban areas,disrupting sea breeze onset and lowering the planetary boundary ***,an optimal cooling performance for super cool broadband radiative coolers can be achieved in lower humidity conditions,as their efficiency decreases with increased *** needing further investigation,these findings of nano-science-based super cool broadband materials offer valuable insights for policymakers and urban planners addressing thermal management in densely packed tropical urban environments.

关键词： tropical urban climate extreme urban heat urban heat mitigation radiative cooler WRF-urban model

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Detection of Approximate Potential Trend Turning Points in Temperature Time Series (1941-2010) for Asansol Weather Observation Station, West Bengal, India

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Atmospheric and Climate Sciences 2014年第1期4卷 64-69页

作者： Soumendu Chatterjee Dipak Bisai ansar khan Department of Geography and Environment Management Vidyasagar University Midnapore India Department of Geography Egra S.S.B College Egra India Department of Geography Presidency University Kolkata India

Researches are being carried out world-wide to understand the nature of temperature change during recent past at different geographical scales so that comprehensive inferences can be drawn about recent temperature trend and future climate. Detection of turning points in time series of meteorological parameters puts challenges to the researches. In this work, the temperature time series from 1941 to 2010 for Asansol observatory, West Bengal, India, has been considered to understand the nature, trends and change points in the data set using sequential version of Mann-Kendall test statistic. Literatures suggest that use of this test statistic is the most appropriate for detecting climatic abrupt changes as compared to other statistical tests in use. This method has been employed upon monthly average temperatures recorded over the said 70 years for detection of abrupt changes in the average temperature of each of the months. The approximate potential trend turning points have been calculated separately for each month (January to December). Sequential version of Mann-Kendall test statistic values for the months of July and August is significant at 95% confidence level (p 0.05). The average temperature for most of the other months has shown an increasing trend but more significant rise in July and August temperature has been recognized since 1960s.

关键词： Sequential Version of Mann-Kendall Test Statistic Temperature Trends Turning Points

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Trends of Shoreline Position: An Approach to Future Prediction for Balasore Shoreline, Odisha, India

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Open Journal of Marine Science 2015年第1期5卷 13-25页

作者： Nilay Kanti Barman Soumendu Chatterjee ansar khan Department of Geography and Environment Management Vidyasagar University Midnapore India Department of Geography Presidency University Kolkata India

The present study aims to analyze the shift in shoreline due to coastal processes and formulate available for best estimate of future shoreline positions based on precedent shorelines. Information on rates and trends of shoreline change can be used to improve the understanding of the underlying causes and potential effects of coastal erosion which can support informed coastal management decisions. In this paper, researchers go over the changes in the recent positions of the shoreline of the Balasore coast for the 38 years from 1975 through 2013. The study area includes the Balasore coastal region from Rasalpur to Udaypur together with Chandipur, Choumukh, Chandrabali as well as Bichitrapur. Transects wise shoreline data base were developed for approximately 67 kilometers of shoreline and erosional/accretional scenario has also been analysed by delineating the shoreline from Landsat imageries of 1975, 1980, 1990, 1995, 2000, 2005, 2010 and 2013. A simple Linear Regression Model and End Point Rate (EPR) have been adopted to take out the rate of change of shoreline and its future positions, based on empirical observations at 67 transects along the Balasore coast. It is found that the north eastern part of Balasore coast in the vicinity of Subarnarekha estuary and Chandrabali beach undergo high rates of shore line shift. The shoreline data were integrated for long- (about 17 years) and short-term (about 7 years) shift rates analysis to comprehend the shoreline change and prediction. For the prediction of future shoreline, the model has been validated with the present shoreline position (2013). The rate of shoreline movement calculated from the fixed base line to shoreline position of 1975, 1980, 1990, 1995, 2000, 2005 and 2010 and based on this, the estimated shoreline of 2013 was calculated. The estimated shoreline was compared with the actual shoreline delineated from satellite imagery of 2013. The model error or positional shift at each sample point is observed. The

关键词： Linear Regression Model End Point Rate Root Mean Square Error Shoreline Change Shoreline Prediction

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Analysis of Change Point in Surface Temperature Time Series Using Cumulative Sum Chart and Bootstrapping for Asansol Weather Observation Station, West Bengal, India

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American Journal of Climate Change 2014年第1期3卷 83-94页

作者： ansar khan Soumendu Chatterjee Dipak Bisai Nilay Kanti Barman Department of Geography and Environment Management Vidyasagar University Midnapore India Department of Geography Presidency University Kolkata India

This paper aims to detect the short-term as well as long-term change point in the surface air temperature time series for Asansol weather observation station, West Bengal, India. Temperature data for the period from 1941 to 2010 of the said weather observatory have been collected from Indian Meteorological Department, Kolkata. Variations and trends of annual mean temperature, annual mean maximum temperature and annual minimum temperature time series were examined. The cumulative sum charts (CUSUM) and bootstrapping were used for the detection of abrupt changes in the time series data set. Statistically significant abrupt changes and trends have been detected. The major change point in the annual mean temperatures occurred around 1986 (0.57°C) at the period of 25 years in the long-term regional scale. On the other side, the annual mean maximum and annual mean minimum temperatures have distinct change points at level 1. There are abrupt changes in the year 1961 (Confidence interval 1961, 1963) for the annual mean maximum and 1994 (Confidence interval 1993, 1996) for the annual mean minimum temperatures at a confidence level of 100% and 98%, respectively. Before the change, the annual mean maximum and annual mean minimum temperatures were 30.90°C and 23.99°C, respectively, while after the change, the temperatures became 33.93°C and 24.84°C, respectively. Over the entire period of consideration (1941-2010), 11 forward and backward changes were found in total. Out of 11, there are 3 changes (1961, 1986 and 2001) in annual mean temperatures, 4 changes (1957, 1961, 1980 and 1994) in annual mean maximum temperatures, and rest 4 changes (1968, 1981, 1994 and 2001) are associated with annual mean minimum temperature data set.

关键词： Bootstrapping Change Point CUSUM Temperature Time Series

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Hydrometallurgical leaching and kinetic modeling of low-grade manganese ore with banana peel in sulfuric acid

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International Journal of Minerals,Metallurgy and Materials 2021年第2期28卷 193-200页

作者： Sajjad Ali Yaseen Iqbal Inamullah khan ansar Ullah Muhammad Sadiq Muhammad Fahad Khizar Hussain Shah Materials Research Laboratory Department of PhysicsUniversity of Peshawar25120 PeshawarPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusUniversity Road 22060 AbbottabadPakistan Department of Chemistry COMSATS University IslamabadAbbottabad CampusUniversity Road 22060 AbbottabadPakistan

Manganese was leached from a low-grade manganese ore(LGMO)using banana peel as the reductant in a dilute sulfuric acid *** effects of banana peel amount,H2SO4 concentration,reaction temperature,and time on Mn leaching from the complex LGMO were studied.A leaching efficiency of~98%was achieved at a leaching time of 2 h,banana peel amount of 4 g,leaching temperature of 120°C,manganese ore amount of 5 g,and sulfuric acid concentration of 15vol%.The phase,microstructural,and chemical analyses of LGMO samples before and after the leaching process confirmed the successful leaching of ***,the leaching process followed the shrinking core model and the leaching rate was controlled by a surface chemical reaction(1−(1−x)^1/3=kt)mechanism with an apparent activation energy of 40.19 kJ·mol^−1.

关键词： low-grade manganese ore glucose leaching kinetics activation energy

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Molecular Structure of (1-Benzyl-4-phenyl-1H-1,2,3-triazol-5-yl)(4-bromophenyl) methanone: A Combined Experimental and Theoretical Study

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Chinese Journal of Structural Chemistry 2014年第12期33卷 1749-1756页

作者： MUHAMMAD Naeem Ahmed IFZAN Arshad WANG Bo SHAHID Hameed BILAL Ahmad khan KHAWAJA ansar Yasin MUHAMMAD Moazzam Naseer Department of Chemistry The University of Azad Jammu and Kashmir Muzaffarabad 13100 Pakistan Department of Chemistry Quaid-i-Azam University Islamabad 45320 Pakistan Department of Chemistry Tsinghua University

One-pot three component reaction was used to synthesize 1,4,5-trisubstituted 1,2,3-triazole(A) from the corresponding acid chloride, benzyl azide and 1-copper(I) phenylethyne. The molecular structure was determined by single-crystal X-ray analysis. The compound crystallizes in the orthorhombic space group Pbca, a = 14.9815(14), b = 9.6496(10), c = 25.528(2) A, Z = 8. Furthermore, crystal packing demonstrated a molecular wall-like structure based on supramolecular chains of A, stabilized by CH···O, CH···Br, N···C and CH···π interactions. Molecular geometry in the ground state has been determined by density functional theory(DFT) by B3LYP/6-311G* basis set and compared with the experimental data. The computed vibrational frequencies are compared with the experimental FT-IR data and frontier molecular orbital analyses were performed at the same level of theory. Theoretical parameters are in good agreement with the corresponding X-ray diffraction values.

关键词： synthesis 1,2,3-triazole crystal structure molecular packing optimization

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ILSM:Incorporated Lightweight Security Model for Improving QOS in WSN

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Computer Systems Science & Engineering 2023年第8期46卷 2471-2488页

作者： ansar Munir Shah Mohammed Aljubayri Muhammad Faheem khan Jarallah Alqahtani Mahmood ul Hassan Adel Sulaiman Asadullah Shaikh Insitute of Southern Punjab MultanPakistan College of Computer Science and Information Systems Najran UniversityNajranSaudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

In the network field,Wireless Sensor Networks(WSN)contain prolonged attention due to afresh *** like health care,traffic,defense,and many more systems espoused the *** networks contain tiny sensor nodes containing embedded processors,TinyOS,memory,and power *** nodes are responsible for forwarding the data *** manage all these components,there is a need to select appropriate parameters which control the quality of service of *** sensor nodes are involved in transmitting vital information,and there is a need for secure and efficient routing to reach the quality of *** due to the high cost of the network,WSN components have limited resources to manage the *** is a need to design a lightweight solution that ensures the quality of service in *** this given manner,this study provides the quality of services in a wireless sensor network with a security *** incorporated hybrid lightweight security model is designed in which random waypoint mobility(RWM)model and grey wolf optimization(GWO)is used to enhance service quality and maintain security with efficient *** version 16 andNetwork Stimulator 2.35(NS2.35)are used in this research to evaluate the *** overall cost factor is reduced at 60%without the optimization technique and 90.90%reduced by using the optimization technique,which is assessed by calculating the signal-to-noise ratio,overall energy nodes,and communication overhead.

关键词： Wireless sensor networks quality of service random waypoint mobility model grey wolf optimization security

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An Optimization Approach of IoD Deployment for Optimal Coverage Based on Radio Frequency Model

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2627-2647页

作者： Tarek Sheltami Gamil Ahmed ansar Yasar Computer Engineering Department Interdisciplinary Research Center of Smart Mobility and LogisticsKing Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Transportation Research Institute(IMOB) Hasselt UniversityHasselt3500Belgium

Recently,Internet of Drones(IoD)has garnered significant attention due to its widespread ***,deploying IoD for area coverage poses numerous limitations and *** include interference between neighboring drones,the need for directional antennas,and altitude restrictions for *** challenges necessitate the development of efficient *** research paper presents a cooperative decision-making approach for an efficient IoDdeployment to address these challenges *** primary objective of this study is to achieve an efficient IoDdeployment strategy thatmaximizes the coverage regionwhile minimizing interference between neighboring *** deployment problem,the interference increases as the number of deployed drones increases,resulting in bad quality of *** the other hand,deploying a few drones cannot satisfy the coverage *** accomplish this,an enhanced version of a concise population-based meta-heuristic algorithm,namely Improved Particle SwarmOptimization(IPSO),is *** objective function of IPSO is defined based on the coverage probability,which is primarily influenced by the characteristics of the antennas and drone altitude.A radio frequency(RF)model is derived to evaluate the coverage quality,considering both Line of Sight(LOS)and Non-Line of Sight(NLOS)down-link coverage probabilities for ground *** is assumed that each drone is equipped with a directional antenna to optimize coverage in a given *** simulations are conducted to assess the effectiveness of the proposed *** demonstrate that the proposed method achieves maximum coverage with minimum transmission ***,a comparison is made against Collaborative Visual Area Coverage Approach(CVACA),and a game-based approach in terms of coverage quality and convergence *** simulation results reveal that our approach outperforms both CVACA and the gamebased schemes in terms of coverage an

关键词： IoD line of sight optimal deployment IPSO RF model

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