Participants in the INHALE study

See below for recent publications, presentations, conferences, workshops, media and other output from the INHALE project.

INHALE activity

Publications
  • Abhijith, K. V., Kumar, P., 2020. . Environmental Pollution. Vol: 265, article: 114884.
  • Abhijith, K.V., Kumar, P., 2021. . Air Qual Atmos Health.
  • Abubakar-Waziri H., Fang F., Dilliway C., Wu P., Li J., Yao R., Bhavsar P., Kumar P., Pain C.C., Chung K.F., 2023. . Physics of Fluids, Vol: 35, 025111.
  • Ahmed, T., Kumar, P., Mottet, L., 2021. . Renewable and Sustainable Energy Reviews. Vol: 138, article: 110669.
  • Amendola, M., Arcucci, R., Mottet, L., Casas, C.Q., Fan, S., Pain, C., Linden, P., Guo, Y.K., 2020. . arXiv preprint. arXiv:2012.12056
  • Arcucci, R. Effective Data Assimilation with Machine Learning - , accepted.
  • Arcucci, R., Mottet, L., Quilodran Casas, C. A., Guitton, F., Pain, C. and Guo, Y., 2020.  - Lecture Notes in Computer Science book series (EuroPAR2019).
  • Arcucci, R., Moutiq, L. and Guo, Y. . Lecture Notes in Computer Science book series (ICCS 2020). Vol 12142, pp. 155-168.
  • Arcucci, R., Quilodran Casas, C., Xiao, D., Mottet, L., Fang, F., Wu, P., Pain, C. and Guo, Y., 2020.  (DD-RODA). Advances in Parallel Computing. Vol: 36, pages: 189-198, DOI: 10.3233/APC200040.
  • Arcucci, R., Zhu, J., Hu, S., Guo, Y., 2021. . Applied Sciences. Vol: 11 (3), article: 1114.
  • Barwise, Y., Kumar, P., 2020. . npj Climate and Atmospheric Sciences. Vol: 3, article: 12.
  • Barwise, Y., Kumar, P., Tiwari, A., Rafi-Butt, F., McNabola, A., Cole, S., Field, B. C.T., Fuller, J., Mendis, J. and Wyles, K. J., 2021. . Sustainable Cities and Society. Vol. 75, article: 103299.
  • Buizza, C., Quilodr谩n Casas, C., Nadler, P., Mack, J., Marrone, S., Titus, Z., Le Cornec, C., Heylen, E., Dur, T., Baca Ruiz, L., Heaney, C., D铆az L贸pez, J. A., Arcucci, R., 2020. . Journal of Computational Science. Vol: 58, 101525.
  • C茅sar Quilodr谩n-Casas, C., Arcucci, R., Mottet, L., Guo, Y. and Pain, C.C. (2021) Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations (submitted to SimDL workshop at ICLR May 2021) .
  • Cheng, M., Fang, F., Pain, C.C. and Navon, I. M., 2020. . Computer Methods in Applied Mechanics and Engineering, Vol: 372, article: 113375. 
  • Cheng, M., Fang, F., Kinouchi, T., Navon, I. M. and Pain, C. C., 2020. . Journal of Hydrology, Vol: 590, article: 125376.
  • Cheng, M., Fang, F., Navon, I. M., Zheng, J., Tang, X., Zhu, J. and Pain, C. C. 2021. . Journal of Advances in Modelling Earth Systems.
  • Cheng, M., Fang, F., Navon, I.M., Pain, C. C. 2021. . Physics of Fluids. Vol: 33.
  • Cheng, M., Fang, F., Pain, C. C. and Navon, I. M., 2020.  Computer Methods in Applied Mechanics and Engineering, Vol: 365, article: 113000. 
  • Cheng, M., Fang, F., Navon, I. M., Pain, C.C., 2021. . Physics of Fluids. Vol: 33, ISSN: 1070-6631.
  • Dilliway, C., Dyer, O., Mandrou, E., Mitchell, D., Menon, G., Sparks, H., Kapitany, V., Payne-Dwyer, A., 2022. . iScience. Vol: 25, Issue 12, 105615.
  • Dur, T. , Arcucci, R., Mottet, L., Molina Solana, M., Pain, C., Guo, Y., 2020. . Journal of Computational Science. Vol: 42, DOI: 10.1016/j.jocs.2020.101110.
  • Drummond, G. B., Fischer, D., Arvind D. K. 2020. . ERJ Open 91桃色, Vol 6, Issue 3 00023-2020. DOI: 10.1183/23120541.00023-2020.
  • Heaney, C. E., Buchan, A. G., Pain, C.C., Jewer, S., 2021. . Energies. Vol: 14 (5), article: 1350.
  • Heaney, C. E., Wolffs, Z., T贸masson, J. A., Kahouadji, L., Salinas, P., Nicolle, A., Navon, I. M., Matar, O. K., Srinil, N., Pain, C. C. 2022. . Physics of Fluids. Vol: 34.
  • Hu, R., Fang, F., Pain, C. C., Navon, I. M., 2019. . Journal of Hydrology. Vol: 575, article: 911920.
  • Kumar, P., Druckman, A., Gallagher, J., Gatersleben, B., Allison, S., Eisenman, T.S., Hoang, U., Hama, S., Tiwari, A., Sharma, A., Abhijith, KV, Adlakha, D., McNabola, A., Astell-Burt, T., Feng, X., Skeldon, A.C., de Lusignan, S., Morawska, L., 2019. . Environment International. Vol: 133, article: 105181.
  • Kumar, P., Hama, S., Omidvarborna, H., Sharma, A., Sahani, J.,  Abhijith K.V., Debele, S. E., Zavala-Reyes, J. C., Barwise, Y., Tiwari, A., 2020. . Science Direct. Vol: 62, article: 102382.
  • Kumar, P., Kalaiarasan, G., Bhagat, R.K., Mumby, S., Adcock, I.M., Porter, A.E., Ransome, E., Abubakar-Waziri, H., Bhavsar, P., Shishodia, S., Dilliway, C., Fang, F., Pain, C.C., Chung, K.F., 2022. . Atmosphere. Vol: 13, 2067.
  • Kumar, P., Kalaiarasan, G., Porter, A. E., Pinna, A., K艂osowski, M. M., Demokritou, P., Chung K. F., Pain, C. C., Arvind, D. K., Arcucci, R., Adcock, I. M., Dilliway, C., 2020. . Science of The Total Environment, Vol: TBC, article 143553.
  • Kumar, P., Omidvarborna, H., Francesco, P., Lewin, N., 2020.  . Science of the Total Environment. Vol: 727, article: 138360.
  • Kumar, P., Omidvarborna, H., Kooloth Valappil, A., and  Bristow, A. 2022. . The Journal of the Acoustical Society of America Vol: 151, pg. 881.
  • Kumar, P., Morawska, L., 2020.  City and Environment Interactions. Vol: 4, article: 100033.
  • Kumar, P., Zavala-Reyes, J.C., Kalaiarasan, G., Abubakar-Waziri, H., Young, G., Mudway, I., Dilliway, C., Lakhdar, R., Mumby, S., K艂osowski, M.M., Pain, C.C., Adcock, I.M., Watson, J.S., Sephton, M.A., Chung, K.F., Porter, A.E., 2023. . Science of The Total Environment. Vol: 858, Part 1, 159315.
  • Kumar, P., Zavala-Reyes, J.C., Tomson, M., Kalaiarasan, G., 2022. . Environment International. Vol:158, 106883.
  • Mack, J., Arcucci, R., Molina-Solana, M., Guo Y., 2020. . Computer Methods in Applied Mechanics and Engineering. Vol: 372, article: 113291.
  • Mortaz, E., Zadin, S. S., Shahir, M., Folkerts, G., Garssen, J., Mumby, S., Adcock, I. M., 2019.  Frontiers in Immunology. 10:2122. doi: 10.3389/fimmu.2019.02122
  • Nikiteas, I., Dargaville, S., Pain, C. C., Smith, P. N. and Smedley-Stevenson, R. P.. EPJ Web of Conferences, International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future. Vol: 247, 03025.
  • Phillips, T. R. F., Heaney, C. E., Smith, P. N., and Pain, C. 2021. . International Journal for Numerical Methods in Engineering. Vol: 122, Issue 15.
  • Phillips, T.R.F.; Heaney, C.E.; Tollit, B.S.; Smith, P.N.; Pain, C.C., 2021. . Energies. Vol: 14 (15), article: 1369. 
  • Quilodr谩n Casas, C., Arcucci, R., Guo, Y., 2020. Reduced order deep Bayesian correction for urban air pollution physics and its healthcare applications. KDD 2020. Manuscript submitted to the Applied Data Science track of the KDD 2020 conference. (Under review)
  • Quilodr谩n Casas, C., Arcucci, R., Guo, Y., 2020. . International Conference on Learning Representation 2020; "Integration of Deep Neural Models and Differential Equations" workshop.
  • Quilodr谩n-Casas, C., Arcucci, R., Mottet, L., Guo, Y. and Pain, C. C. 2021  (submitted to SimDL workshop at ICLR May 2021).
  • Quilodr谩n-Casas, C., Arcucci, R., Pain, C., Guo, Y. , see also . Machine Learning and the Physical Sciences workshop at NeurIPS 2020.
  • Quilodr谩n Casas, C., Arcucci, R., Wu, P., Pain, C., Guo, Y., 2020. . Physica D. Vol: 412, article: 132615.
  • Quilodr谩n-Casas, C., Silva, V. L. S., Arcucci, R., Heaney, C. E., Guo, Y. and Pain, C. C. 2022 . Neurocomputing. Vol: 470, pp 11-28.
  • Rawat, N. and Kumar, P., 2023, . Science of The Total Environment. Vol: 858, Part 2, 159813.
  • Salinas, P., Bahlali, M. L., Jacquemyn, C., Pain, C. C., Butler, A. P. and Jackson, M.  Conference paper presented to AGU Fall Meeting 17th December, 2021.
  • Silva, V. L. S., Heaney C. E., Li, Y. and Pain, C. C. (2021) . arXiv.org/abs/2105.07729.
  • Silva, V. L. S., Heaney, C. E. and Pain, C. C. 2021.. arXiv. arXiv:2105.13859v2.
  • Tajnafoi, G., Arcucci R., Mottet, L. Vouriot, C., Molina Solana, M., Pain, C., Guo, Y., 2021. . Journal of Applied Mathematics. Vol: 66 (2), pp. 287-317.
  • Titus, Z., Heaney, C. E., Jacquemyn, C., Salinas, P., Jackson, M. D., Pain, C. C. 2020. . European Association of Geoscientists & Engineers. Conference Proceedings, ECMOR XVII, Sep 2020, Vol: 2020, p.1 鈥 12.
  • Tiwari, A, and Kumar, P., 2022. . Science of The Total Environment. Vol: 838, Part 1, 155778.
  • Tiwari, A., Kumar, P., 2020. . Science of the Total Environment. Vol: 723, article: 138078.
  • Tiwari, A., Kumar, P., Kalaiarasan, G., Ottosen, T-B., 2020. . Environmental Pollution. Article: 115898.
  • Tomson, M., Kumar, P., Barwise, Y., Perez, P., Forehead, H., French, K., Morawska, L., Watts, J. F., 2021. . Environment International. Vol: 146, article: 106288.
  • Tomson, M., Kumar P., Kalaiarasan G., Zavala-Reyes J., Chiapasco M., Sephton M., Young G., Porter A., 2023. . Atmospheric Environment, Vol: 298, 119624.
  • Wu, P., Gong, S., Pan, K., Qiu, F., Feng, W. and Pain, C. C. 2021. . Physics of Fluids. Vol: 33, Issue 7.
  • Wu, H-W., Kumar, P., Cao, S-J., 2022. . Journal of Building Engineering. Vol: 54, 104682.
  • Wu H-W, Kumar P, Yu CW, Cao S-J.. 2022. . Indoor and Built Environment. Vol: 31(7):1733-1737.
  • Wu, P., Sun, J., Chang, X., Zhang, W., Arcucci, R., Guo, Y., Pain, C.C., 2020. . Computer Methods in Applied Mechanics and Engineering. Vol: 360, article: 112766.
  • Xiao, D., Fang, F., Zheng, J., Pain, C. C., Navon, I. M., 2019. . Atmospheric Environment. Vol: 199, article: 463473.
  • Zheng, J., Fang, F., Wang, Z., Zhu, J., Li, J., Li, J., Xiao, H., Pain, C.C., 2020. . Atmospheric Environment, Vol: 229, article: 117431, ISSN: 1352-2310.
  • Zheng, J., Wu, X., Fang, F., Li, J., Wang, Z., Xiao, H., Zhu, J., Pain, C. C., Linden, P., Xiang, B. 2021. . Physics of Fluids. Vol: 33.
Presentations, conferences and workshops
  • Dr. Soma Sekhara Rao Kolluru attended the  meeting on 鈥楬igh-resolution prediction for urban modelling and design applications鈥 at the University of Reading on 1st and 2nd September 2022. During this meeting, he met with many young researchers and Professors to discuss his research based on INHALE project.
  • Professor Christopher Pain et al. gave a semi-plenary lecture entitled 鈥楢I modelling of Fluid Flows鈥, at the in Oslo on 7th June, 2022.
  • Professor Christopher Pain presented a talk to the session on COVID-19 modelling using methods from Nuclear Engineering Epidemiology and Air Flows to the , held April 7-8th 2022.
  • Dr Boyang Chen presented a talk to the session on COVID-19 modelling using methods from Nuclear Engineering, infection risk modelling in schools using CFD to the , held April 7-8th 2022.
  • Professor Christopher Pain presented 鈥楢pplications of Machine Learning to Urban Environmental Problems鈥 to the Urban Fluid Mechanics Special Interest Group on March 21st, 2022 which focussed on .
  • Dr Fangxin Fang, et al. gave a talk entitled 鈥楳ulti-Physics and Multi-Scale Adaptive Mesh Predictive Modelling using Machine Learning and Data Assimilation鈥 to the  Organized by The Scientist, 17, March 2022
  • Professor Christopher Pain presented a talk entitled 鈥楳ulti-physics and multi-scale adaptive mesh AI modelling for urban environment鈥 to the  (SuDBE) held in Chongqing from 10th to 12th December 2021
  • Dr Fangxin Fang presented a talk entitled 鈥楳achine learning-based predictive modelling for environmental issues鈥 to the  (SuDBE) held in Chongqing from 10th to 12th December 2021.
  • Dr Rossella Arcucci, C茅sar Quilodr谩n Casas et al, presented 鈥楩orecasting emissions through Kaya identity using Neural ODEs鈥 to the  held on 14th December 2021.
  • Dr Fangxin Fang gave a talk entitled 鈥樷 to the  from 15th to 30th November 2021.
  • Professor Christopher Pain presented 鈥楾rends in nuclear modelling: fluids, solids, coupling and Artificial Intelligence鈥 to the  on 10th November 2021.
  • Professor Christopher Pain gave a talk entitled 鈥楳ulti-physics and multi-scale adaptive mesh AI-modelling for the urban environment鈥 to the 10th International Conference on Sustainable Development in the Building and Environment () held in Chongqing from 4th to 7th November 2021.
  • Professor Christopher Pain presented a talk entitled 鈥樷 on the 28th September 2021 to the Nuclear Institute.
  • Dr Fangxin Fang et al. presented 鈥楧eep learning applied to nonlinear fluid flow problems鈥 to the Computational Fluid Dynamic and Artificial Intelligence Workshop 2021 at Shanghai University, on 30th August 2021.
  • Professor Christopher Pain presented 鈥楩luids and Artificial Intelligence Modelling Methods and Applications鈥 to the Computational Fluid Dynamic and Artificial Intelligence Workshop 2021 at Shanghai University, on 30th August 2021.
  • Dr Juan Zavala Reyes, Mamatha Tomson, Dr Gopinath Kalaiarasan and Professor Prashant Kumar presented 鈥楶reliminary results of variation of particle size distribution and coagulation impact on size resolved particles indoor-outdoor microenvironment鈥 at European Aerosol Conference (EAC 2021), 30 August 鈥 3 September 2021, to the  on 30th August 2021
  • Teodora Georgescu, Dr Micha艂 K艂osowski and Dr Xiaofei Wu presented their INHALE research to an event sponsored and hosted by the ; 鈥樷 on 13th July 2021, chaired by Claire Dilliway. See the recording of the  and  by Mathis Riehle, University of Glasgow.
  • Professor Christopher Pain gave a talk entitled 鈥樷 to the  on 22nd June 2021, Politecnico di Milano, Italy.
  • Professor Christopher Pain, Dr Rossella Arcucci and C茅sar Quilodr谩n Casas et al, presented  to the  on 18th June 2021 in Krak贸w.
  • Professor D. K. Arvind gave a talk entitled 鈥楢ir Pollution Data in RBKC (Royal Borough of Kensington and Chelsea) during 2020 lockdown release鈥 to the , June 15th 鈥 17th 2021.
  • Professor Prashant Kumar, Dr Gopinath Kalaiarasan, Mamatha Tomson, Dr Juan Zavala Reyes, Arvind Tiwari and Sarkawt Hama presented on 鈥楩ine and ultra fine particles in micro-environments of London: Findings of the INHALE project鈥 at the  (20th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes) between 14-18 June 2021.
  • Professor Christopher Pain and Dr Fangxin Fang presented a talk entitled 鈥楥FD, reduced-order models and neural networks for Urban and Indoor flows: Results from INHALE, MAGIC, PREMIERE consortia鈥 to Chongqing University on 2nd June 2021.
  • Professor Christopher Pain, Dr Rossella Arcucci and C茅sar Quilodr谩n Casas et al presented Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations to the SimDL ICLR 2021 workshop on 7th May 2021.
  • Dr Fangxin Fang gave a talk entitled 鈥樷 to the DataLearning Working Group - on 13 April 2021.
  • Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 鈥楧ata-driven models based on Data Learning (Data Assimilation and Machine Learning) approaches鈥 at PI DX Spotlight: Data Governance Traceability -  - on 17 February 2021.
  • Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 鈥楧ata Learning: Integrating Data Assimilation and Machine Learning in real world applications鈥 at Physics informed Artificial Intelligence in Plasma Science, Seminar Series -  - on 8 February 2021.
  • Dr Xiaofei Wu presented a talk entitled 鈥Processes in the development of the Fluidity-Urban model鈥屸屸 to a MAGIC consortium meeting on 13 October 2020.
  • Dr Rossella Arcucci was an Invited Speaker to give a talk entitled 鈥楢rtificial Neural Network at the service of Data Assimilation (and vice versa)鈥 at ECMWF - ESA Workshop on Machine Learning for Earth System Observation and Prediction, a virtual event -  - on 6 October 2020.
  • Fang. F., Multiscale physical green and thermal dynamical modelling in urban environment, the international conference on Sustainable Development in Building and Environment and International Forum of Green Buildings and Healthy Buildings,  SuDBE2020, China, 26, August 2020.
  • Professor Kian Fan Chung gave a plenary talk on 鈥淓xposomes and Gene Interaction in Asthma鈥 at the  on 6 June 2020, describing the INHALE project amongst several Exposome projects.
  • Dr Rossella Arcucci organised the second edition of the Workshop on Machine Learning and Data Assimilation for Dynamical Systems .
  • Dr Rossella Arcucci was a Keynote speaker at SIAM-IMA (Institute of Mathematics and its applications) with a talk entitled "Artificial Neural Network at the service of Data Assimilation" on 1 June 2020, online.
  • Dr Rossella Arcucci presented a talk entitled "Data Assimilation and Machine Learning" to the Leverhulme Wildfires workshop 鈥楢pproaches to Data Analysis鈥 on 19 May 2020, online.
  • Dr Rossella Arcucci presented a talk entitled "Data Learning: Data Assimilation with Machine Learning" at the University of Reading on 11 March 2020.
  • Professor Chris Pain and Professor Alex Porter presented the INHALE project at the 2019 Physics of Life Town Meeting at the Royal Society on 3 December 2019.
  • Professor Arvind presented a ticketed invited talk entitled 鈥淓very breath you take鈥 at the 2019 Edinburgh International Science Festival, which was reviewed in  (pdf).
  • Professor Arvind was invited to participate on an expert panel in BodyNets 2019, Florence, Italy on 2-3 Oct 2019 on the topic "Smart IoT and big data for intelligent health management鈥, and present at The Royal Society Science+ meeting on Air Quality, past, present and future on 11-12 Nov 2019.
Media
  • Further to the aforementioned publication of 鈥業nterventions for improving indoor and outdoor air quality in and around schools鈥, a  was published by the University of Surrey on 29th November 2022.
  • Further to the aforementioned publication of 鈥楥haracteristics of fine and ultrafine aerosols in the London underground鈥, a  was published by the University of Surrey on 23rd October 2022. This was subsequently picked up and reported on by a number of news outlets including Felix, Evening Standard and Science Daily.
  • A public event was planned on Guildford High Street for . GCARE researchers provided information about Guildford Living Lab and projects such as INHALE to city residents. Prof. Prashant gave short talks in Guildhall and to the public about the air pollution and its effects on human health. The crowd along with the local MP showed great interest.
  • Further to the aforementioned publication of 鈥楺uantification of green infrastructure effects on airborne nanoparticles dispersion at an urban scale鈥, a press article entitled  was published by the University of Surrey on 16th May 2022.
  • The INHALE management team worked with UKRI on a commissioned  which was released  in February 2022 to showcase the impacts of the projects funded by the first round of successful UKRI Physics of Life projects as part of their activities supporting the announcement of the second round.
  • 91桃色 published an article entitled Wearable sensors help researchers understand effects of air pollution on health detailing the INHALE clinical study and how people in West London can get involved, on 28th October 2021.
  • The Evening Standard ran an article entitled , detailing the INHALE clinical study and how it might link with the expansion of the London Ultra Low Emission Zone expansion on 27th October 2021.
  • Further to the aforementioned publication of 鈥楿nderstanding the effects of roadside hedges on the horizontal and vertical distributions of air pollutants in street canyons鈥, a press article was published by the  on 14th October 2021.
  • The University of Surrey鈥檚  to discuss their individual contribution and exposure to air pollution and what we can do to reduce that on 26th September 2021.
  • Further to the aforementioned publication of 鈥楾he co-development of HedgeDATE, a public engagement and decision support tool for air pollution exposure mitigation by green infrastructure鈥 and the , a press article was published by the  on 22nd September 2021.
  • INHALE research is being disseminated via ,  &  Twitter accounts as well as investigators account 鈥 usually linked with programme Twitter .
  • 91桃色 published an article New remote projects enhance student learning during the pandemic which details a student project connected with INHALE and COVAIR on 31 March 2021.
  • Further to the aforementioned publication of 鈥楪reen infrastructure for air quality improvement in street canyons鈥, a  was published by the University of Surrey on 14 December 2020.
  • Further to the aforementioned publication of 鈥楾he impacts of existing and hypothetical green infrastructure scenarios on urban heat island formation鈥, a  was published by the University of Surrey on 18 November 2020.
  • Further to the aforementioned publication of 鈥楾emporary reduction in fine particulate matter due to 鈥榓nthropogenic emissions switch-off鈥 during COVID-19 lockdown in Indian cities鈥, a press article was published by the .
  • 91桃色 published an article 鈥Air pollution during lockdown and beyond鈥 reporting that air pollution monitors had been installed near South Kensington campus to measure pollution during and after the COVID-19 Lockdown.
  • Further to the aforementioned publication of 鈥楥ould fighting airborne transmission be the next line of defence against COVID-19 spread?鈥, a press article was published by the .
  • Further to the aforementioned publication of 鈥楾he Nexus between Air Pollution, Green Infrastructure and Human Health鈥, the associated press release was widely published by many  including ,  and .
  • 91桃色 published an article 鈥Study to provide new insights into health impact of urban pollution鈥.
  • Further to the aforementioned publication of 鈥楧esigning vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection鈥 the associated  generated media interest, for example in the  and the .
  • Further to the aforementioned publication of 鈥楢 primary school driven initiative to influence commuting style for dropping-off and picking-up of pupils鈥, the associated  generated media interest, for example in the .
Guidance and tools
  • Prashant Kumar,  Rana Alaa Abbass et. al., at the Global Centre for Clean Air 91桃色, University of Surrey, produced , designed to mitigate exposure to cooking emissions in kitchens.
  • Professor Prashant Kumar, Yendle Barwise, Arvind Tiwari and Fahad Rafi-Butt contributed to the development of  a tool to aid hedge design for the abatement of traffic emissions.
  • Kumar, P., Omidvarborna, H., Barwise, Y., Tiwari, A. developed . This guidance document offers tangible measures that can be taken to improve the air children breathe in and around schools and has been published in a number of different languages which can be found .
  • Prashant, K., Abhijith, K. V., Barwise, Y. (2019). . 10.6084/m9.figshare.8198261.v1.
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