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Статті в журналах з теми "Green roof hydric model":
Limos, Aviva Gabriel, Kristine Joy Bernardo Mallari, Jongrak Baek, Hwansuk Kim, Seungwan Hong, and Jaeyoung Yoon. "Assessing the significance of evapotranspiration in green roof modeling by SWMM." Journal of Hydroinformatics 20, no. 3 (February 27, 2018): 588–96. http://dx.doi.org/10.2166/hydro.2018.130.
Samouei, Sina, and Mehmet Özger. "Evaluating the performance of low impact development practices in urban runoff mitigation through distributed and combined implementation." Journal of Hydroinformatics 22, no. 6 (September 10, 2020): 1506–20. http://dx.doi.org/10.2166/hydro.2020.054.
Oviedo Escobar, Nicolas, Andres Torres, Carlos Devia, and Angela Puentes. "Hydric attenuation of a green roof experimental assembly in Bogotá." Ambiente y Desarrollo 20, no. 38 (December 9, 2015): 53. http://dx.doi.org/10.11144/javeriana.ayd20-38.hagr.
Oviedo Escobar, Nicolas, and Andres Torres. "Hydric Attenuation and Hydrological Benefits for Implementing Productive Green Roof in Soacha, Colombia." Ingenieria y Universidad 18, no. 2 (November 20, 2014): 291. http://dx.doi.org/10.11144/javeriana.iyu18-2.hahb.
She, Nian, and Joseph Pang. "Physically Based Green Roof Model." Journal of Hydrologic Engineering 15, no. 6 (June 2010): 458–64. http://dx.doi.org/10.1061/(asce)he.1943-5584.0000138.
Jovanović, Dimitrijević, Predrag (Miodrag) Zivkovic, Jelena Janevski, Mica Vukic, Ana Momcilovic, and Dejan Jovanovic. "GREEN LIVING ROOF SIMULATION MODEL REVIEW." Ecological Safety and Balanced Use of Resources, no. 1(19) (July 12, 2019): 104–10. http://dx.doi.org/10.31471/2415-3184-2019-1(19)-104-110.
Suszanowicz, Dariusz. "Model research on the influence of green roofs on environmental parameters in urban agglomerations." E3S Web of Conferences 45 (2018): 00094. http://dx.doi.org/10.1051/e3sconf/20184500094.
Yuliani, Sri, and Bambang Triratma. "Modeling green roofs in tropical housing to support micro-scale food security." IOP Conference Series: Earth and Environmental Science 1200, no. 1 (June 1, 2023): 012040. http://dx.doi.org/10.1088/1755-1315/1200/1/012040.
Perillo, Vanesa Liliana, Andrea Soledad Brendel, Federico Ferrelli, Agustina Gutiérrez, Alejandro José Vitale, Pablo Marinangeli, and María Cintia Piccolo. "CO2 flux dynamics of exotic and native species in an extensive green roof simulator with hydric deficit." Urban Climate 49 (May 2023): 101567. http://dx.doi.org/10.1016/j.uclim.2023.101567.
Byun, K. H. "Simulation of Thin Green Roof for Summer in Seoul." International Journal of Air-Conditioning and Refrigeration 25, no. 04 (December 2017): 1750034. http://dx.doi.org/10.1142/s2010132517500341.
Дисертації з теми "Green roof hydric model":
Hego, Axelle. "Analyse de sensibilité sur un modèle hydrologique de toiture végétalisée." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0161.
In the last decades, soil imperviousness in urban areas have been one of the main issue because it can lead to the saturation of drainage systems and flood. In order to reduce the impact of this imperviousness, the installation of green roofs is an interesting solution to retain and slow down rainwater before it reaches the sewer system. An in-depth study of the hydric behavior of these structures is necessary for the installation of efficient green roofs in eco-districts for example. The hydric performances are characterized by the water content inside the different layers of the roof. This water content can be simulated with complex models depending on several parameters difficult to determine with precision such as soil, vegetation and meteorological parameters. The uncertainties of these parameters will propagate in the model and affect the simulation of the water content. To analyse and quantify the impact of parameter uncertainties on the model output, the water content, global sensitivity analysis methods are applied. First, a simplified model is considered. Its particularity is its time-varying output. The sensitivity analysis is conducted using a sequential but also multivariate approach.Then, a calibration of the complete model is performed using the sensitivity analysis. Finally, an uncertain and time-varying weather parameter is added to the study. An original approach is proposed to generate consistent and time-correlated samples for this parameter. The results of this thesis work have highlighted the parameters with the highest impact on water content over time among the soil, vegetation and weather parameters. These results have improved the understanding of the green roof dynamics
Vesuviano, Gianni Michael. "A two-stage runoff detention model for a green roof." Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/5159/.
Evans, James S. C. "A predictive model for the shading performance of the deciduous roof." Thesis, University of Brighton, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246823.
Decruz, Aloysius. "Development and integration of a green roof model within whole building energy simulation." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/32544/.
Alzahrani, Abdulah. "Local travelling wave solutions and self-similar solutions for a green roof model." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2776.
Rivera, Brian. "Analysis of the Florida's Showcase Green Envirohome Water/Wastewater Systems and Development of a Cost-Benefit Green Roof Optimization Model." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2580.
M.S.Env.E.
Department of Civil and Environmental Engineering
Engineering and Computer Science
Environmental Engr MSEnvE
Nascimento, Cláudia Maria Loiola do. "Relação chuva-vazão nos telhados verdes modulares sob chuva simulada induzida." Universidade do Estado do Rio de Janeiro, 2015. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=9118.
The loss of natural vegetation and the increase of impermeable surfaces due to the urban expansion have shown that the traditional urban drain systems are ineffective and not much adaptable to the changes of ground use. One of the consequences is the increase of the speed of runoff, which furthers flood, with great material and environmental damage. The flood usually occurs because of stormwaters. The aim of this essay was to study the modular green roofs contribution, submitted to storms, 155mm/h lasting 7,0 minutes, in retention and delay of runoff. Besides, values were determined for these rain-flow classic model parameters: Rational method (C) and CN (SCS), which will be used for hydrological modeling of the effects of using green roofs to control urban flood. The methodology used is experimental and involved building worktops with adjustable inclination to support the experimental modules and a system for controlled induction of rain intensity. Three modular system models were studied for green roof which allow the storage of water at the bottom of the tray that the modules are made up, two are 17,0 L (M-17 and F-17) and one is 4,0 L(M-4), in dry soil and moist conditions. In each vegetated module three species of vegetation were used: Portulaca oleracea, Callisia repens e Apnia Cordfolia. The results show that the retained volume, calculated through observing the runoff, in different situations, are coherent with each other and have data reported in literature. The vegetated modules produced the best results with dry soil and the worst results with moist soil. The average percentage of retention, considering all the types of modules, was 58% of the total volume of induced water, with a 12 minute average delay on runoff. The average values of C (Rational method) were 0,4; 0,48; 0,36, to modules M-17, M-4 and F-17, respectively and the ones for CN (SCS) were 93, 95, 93, to the same modules. As expected, the greatest CN values were the ones for moist ground, keeping the relation of lesser retained volume and more runoff and CN. The module F-17 presented better performance in all aspects (flow reduction, hydric retention, runoff delay). This study shows the good contribution this kind of system may provide for retention and delay runoff, even for short duration heavy rains, mainly after dry season, common situation in places with tropical weather. Future studies should assess the green roofs performance of modular systems accounting other characteristics and types of rains intensity. Adopting green roofs must be cautious, especially the extra burden that such a system is.
Hsu, Shih-Jiun, and 徐士鈞. "Rainfall Runoff Model for Green Roof." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/6qqjtn.
國立臺灣海洋大學
河海工程學系
102
The great mass of green land in urban areas has been turned into impermeable pavement due to rapid urbanization in recent years. It has disturbed the urban hydrologic system resulting in urban flood problem which can’t be solved by traditional methods such as building storm water sewerage system, building detention/retention ponds, etc. Therefore, the new wave of Low Impact Development (LID) techniques have been advocated in recent years in US and other western countries to mitigate non-point source pollutants and storm water in urban areas. Green roof is one of the techniques used in LID but research in the effectiveness in flood mitigation is rare in Taiwan The purpose of this study is to establish a hydrologic model to simulate the relationship between rainfall and runoff for green roof. The model is an event and physical model. Interception of plant, Green Ampt infiltration mechanism, media properties, storage capacity of drainage board, and other parameters have been considered in the model. Major parameters in the model are calibrated by observed data. The calculation procedures of the model are programmed using Microsoft Office Excel language. In the study, an experimental extensive type green roof with surface area of 3.2 m2 (L=2.0m x W=1.6 m), 1% in slope angle, 20cm of medium depth, covering with plant named Eremochloa Ophiuroides is set up on the roof of No. 2 Building, Department of Harbor and River Engineering, National Taiwan Ocean University. Also a meteorological station is set up near the green roof for measuring climatic data including rainfall, wind speed, radiation, and temperature. Observation period started from January 2014. Seven rainfall events are measured to the end of June 2014. Three events are for parameters calibration and four for verification. The sensitivity analysis is carried for two major parameters (initial moisture content and hydraulic conductivity). Results show that hydraulic conductivity will only influence the moving speed within medium not runoff and initial moisture content is the major influential factor to runoff. In the verification, average difference for peak flow between measured and simulated values is 2.2% and 1.1% for average total runoff volume. If we compare the hydrologic condition between before and after green roof is set up, peak flow is reduced 88.1% and 88.9% for total runoff volume. The model established in this study can effectively describe the rainfall-runoff relationship. Also green roof has significant effectiveness in mitigating storm water for low return period rainfall.
Lo, Wei-Hsuan, and 羅唯瑄. "Developing Green Roof Hydrological Model and Application in Stormwater Reduction Analysis." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/99168379752675684413.
國立臺灣大學
生物環境系統工程學研究所
102
As impervious area increasing due to the urbanization, along with the impact of the climate change, a new strategy for the urban stormwater management is the distributed system, instead of the traditional centralized treatment and the rapid drainage system. Green roofs are one of the widely-implemented and effective measures. However, compared to other countries’ considerable research on the green roof, the associated research based on Taiwan’s climate and environment is relatively insufficient. Therefore, the purpose of this study is developing the water-balance hydrological model for the green roof, acquiring parameters and validating the model through experimental data. Also, through the observation and model application, the stormwater reduction performance of the green roof is evaluated in order to assess the service it can provide in stormwater management. The hydrological model for the green roof, NTU-GR, is introduced in this research, providing different priority calculation methods on the infiltration versus the runoff. The parameters used in this model can be divided into two categories; one is the physical characteristics of the medium, which can be obtained through the experiments, and the other comes from the calibration procedure. Based on the rainfall event, the model validation shows the average Nash coefficient is higher than 0.7, which implies the applicability of the model. According to the analysis of the observation data, green roofs can delay the peak for 0~1 hours, and retain 50% of total volume as well as peak value under the large rainfall events, which mean the total rainfall greater than 20 mm. Applying the model to appraise the green roof performance under the historic typhoon and design rainfall cases shows that green roof is not effective in terms of the long duration and high intensity rainfall event; in other words, it is necessary to increase the medium depth or cooperate with other measures to reach the limitation of the present drainage system. This study also preliminarily explores the ability of green roofs to take over other regions’ stormwater in expression of the additional green roof area so that it can achieve the overall stormwater reduction goal, thereby used as the planning and design tool in the future. In summary, this study develops the hydrological model and quantifies the green roof performance of the stormwater reduction. In the future, it is considered to combine with other distributed measures and incorporate into a community-scale stormwater management tool to enhance the adaptation of the stormwater impact in the urban.
Wei, Tai-Bing, and 魏太兵. "Study on Energy Saving Model and Benefit of Green Roof in Northern Fujian." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/zhj55k.
國立臺灣大學
土木工程學研究所
105
Building is the largest energy consumer, particularly during the stage of operation and maintenance. Energy consumption of building accounts for 80% to 90% of total energy consumption approximately. According to many researches, green roof is able to improve heat island effect in urban area, save building energy consumption and decrease flood peak as well as beautify environment. Nowadays, with current status of energy deficiency, more and more scholars attached particular importance to energy-saving effect of green roof. Especially in Japan, America and European nations, the green roof was positively promoted. Meanwhile in Taiwan the green roof construction was highly noticed. Governments including Taipei City, New Taipei City and Kaohsiung City were legislating to implement green roof. While in Mainland China, energy-saving effect of green roof was not paid much attention. Green roof were recommendations in many cases. It’s a key issue of this article to clear up that what’s the role of soil of green roof played in affecting temperature, and thus energy-saving benefit is achieved indirectly if considering energy saving of green roof only rather than other benefits. In this study, three experimental houses were built at Wuyishan City in Fujian Province. The temperature affection analysis of thin green roof with different soil thickness and moisture content is discussed. On the other hand, this paper studied the energy-saving benefit and optimization of green roof construction. Based on experiment, the environment and soil variables dated from 13th, Dec 2016 to 13th, Feb 2017 was collected. Also, a temperature influence model regarding temperature change of green roof was built by setting environment and soil variables as independent variable and chip surface temperature of green roof as dependent variable. In the modeling, the linear model which affects outer surface temperature of green roof was established base on hierarchical linear analysis method. At the same time, ANNS, CART, SVM were used to establish the nonlinear model to evaluate the effect of external surface temperature of green roof. Thus, the optimum thickness and moisture of soil built for green roof was explored in climate condition of northern Fujian. The results showed that, in the linear model, the Multilayer linear model can predict the temperature of the green roof more accurately. In comparison with the nonlinear model, ANNS can be better trained and predicted. In analysis of computing result, seen from climate environment of Wuyishan, Fujian, among the controlled variable, 20cm thickness of soil is the best combination. Moreover, 70% of Field Moisture Capacity should be given priority to the measured soil water holding in order to ensure the need of green roof plants. In order to analyze the effect of green roof on indoor energy saving, the finite element analysis software ANSYS was used to simulate the experimental roofs. The energy saving effect of green roof with soil set on indoor temperature and different roof insulation was discussed by using 22nd Jan 2017 as an example. Study has shown that the energy consumption of the air-conditioning can be reduced by about 4.55% when the green roof soil is set. The study also showed that the energy-saving effect of green roofs has much relation with thermal insulation capacity of the roof. Green roofs provide better insulation when the roof has poor heat insulation ability. The green roof has little impact on the indoor temperature if the building has better thermal insulation. The study also found that the temperature regulation of the green roof was also related to the local climate. The green roof would reduce the average indoor temperature in winter when the building was located in a cold winter region. It is concerned to gain benefit by input of energy saving techniques, so owner or designer hope to optimizing design scheme during design phase so as to guarantee favorable cost-effectiveness. The purpose of this study is to establish an analysis method for temperature influence of green roof, energy efficiency of green roof establishment can be quantified by modeling, thus provide basis for the owners in making decisions.
Частини книг з теми "Green roof hydric model":
Fan, Xiuyun. "The Innovation Model Research of Roof Garden of Green Building." In Sustainable Development of Water and Environment, 47–55. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16729-5_6.
Moumen, Zineb, Soumaya Nabih, Ismail Elhassnaoui, and Abderrahim Lahrach. "Hydrologic Modeling Using SWAT." In Advances in Environmental Engineering and Green Technologies, 162–98. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9771-1.ch008.
Kaur, Inderbir. "Roof to Technology Implementation." In Critical Research on Scalability and Security Issues in Virtual Cloud Environments, 223–38. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3029-9.ch011.
Kaur, Inderbir. "Roof to Technology Implementation." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 1602–14. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch078.
Essefi, Elhoucine, and Soumaya Hajji. "Response of Erosion to Environmental and Climate Changes During the Anthropocene Within the Endorheic System of Mhabeul, Southeastern Tunisia." In Advances in Environmental Engineering and Green Technologies, 217–34. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-8459-0.ch011.
Pomar, Luis, Juan Ignacio Baceta, and G. Mateu-Vicens. "The upper Miocene reef-rimmed platform of Mallorca (Spain): factory structure, growth dynamics and diagenesis." In Field guides to exceptionally exposed carbonate outcrops, 695–792. International Association of Sedimentologists, 2021. http://dx.doi.org/10.54780/iasfg3/13.
Тези доповідей конференцій з теми "Green roof hydric model":
She, Nian, and Joseph Pang. "A Deterministic Lumped Dynamic Green Roof Model." In International Low Impact Development Conference 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41009(333)14.
O'Keeffe, Gregory, Kathryn Schulte, Patricia Culligan, Franco Montalto, and Wade McGillis. "Design of an Instrumented Model Green Roof Experiment." In GeoCongress 2008. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40971(310)138.
Jarrett, A. R., W. F. Hunt, and R. D. Berghage. "Evaluating a Spreadsheet Model to Predict Green Roof Stormwater Management." In Second National Low Impact Development Conference. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/41007(331)23.
Crainic, Ramona, and Radu Fechete. "Advanced monitoring of a laboratory scale modular green roof model." In 12TH INTERNATIONAL CONFERENCE OF PROCESSES IN ISOTOPES AND MOLECULES (PIM 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0000340.
Hong, Jing, and Dennis Michael Utzinger. "Reducing heat island effect: a mathematical model of green roof design." In 2021 Building Simulation Conference. KU Leuven, 2021. http://dx.doi.org/10.26868/25222708.2021.30240.
Yeh, Chia-Hui, and Margaret P. Chapman. "A Non-linear Differentiable Model for Stormwater-based Irrigation of a Green Roof in Toronto." In 2022 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2022. http://dx.doi.org/10.1109/sustech53338.2022.9794212.
Frey, Geoffrey, Ming Qu, Margaret K. Banks, Arthur Schwab, and Keith A. Cherkauer. "Thermal Properties of Green Roof Media During Plant Establishment and Growth." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54937.
Yang, Yige, and Cliff I. Davidson. "Thermal performance of a green roof based on CHAMPS model and experimental data during cold climatic weather." In 7th International Building Physics Conference. Syracuse, New York: International Association of Building Physics (IABP), 2018. http://dx.doi.org/10.14305/ibpc.2018.gb-2.05.
De-Ville, S., and V. Stovin. "Application of a Conceptual Hydrological Model to Identify the Impacts of Green Roof Substrate Ageing on Detention Performance." In University of Sheffield Engineering Symposium. USES, 2015. http://dx.doi.org/10.15445/01012014.29.
Sailor, David J., and Prem Vuppuluri. "Energy Performance of Sustainable Roofing Systems." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17535.