Search Results - "Environmental modelling & software : with environment data news"

Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review by Cominola, A., Giuliani, M., Piga, D., Castelletti, A., Rizzoli, A.E.

“…Over the last two decades, water smart metering programs have been launched in a number of medium to large cities worldwide to nearly continuously monitor…”
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Hydro-geomorphological assessment of culvert vulnerability to flood-induced soil erosion using an ensemble modeling approach by Mukherjee, Sourav, Panda, Sudhanshu, Amatya, Devendra M., Dobre, Mariana, Campbell, John L., Lew, Roger, Caldwell, Peter, Elder, Kelly, Grace, Johnny M., Johnson, Sherri L.

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An R package to partition observation data used for model development and evaluation to achieve model generalizability by Ji, Yiran, Zheng, Feifei, Wen, Jinhua, Li, Qifeng, Chen, Junyi, Maier, Holger R., Gupta, Hoshin V.

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WITHDRAWN: Investigating hydrologic alteration in the Pearl and Pascagoula river basins using rule-based model trees by Roland II, Victor L., Crowley-Ornelas, Elena

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Development of a nested coastal circulation model: Boundary error reduction by Nash, S., Hartnett, M.

“…Numerical models have a valuable role to play in the sustainable management of coastal waters but accurate simulation of land–sea interactions, particularly in…”
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Stakeholder-driven development of a cloud-based, satellite remote sensing tool to monitor suspended sediment concentrations in major Bangladesh rivers by Beveridge, Claire, Hossain, Faisal, Biswas, Robin Kumar, Haque, AM Aminul, Ahmad, Shahryar Khalique, Biswas, Nishan Kumar, Hossain, Md Amirul, Bhuyan, Md Arifuzzaman

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A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation by Confalonieri, Roberto, Bregaglio, Simone, Adam, Myriam, Ruget, Françoise, Li, Tao, Hasegawa, Toshihiro, Yin, Xinyou, Zhu, Yan, Boote, Kenneth, Buis, Samuel, Fumoto, Tamon, Gaydon, Donald, Lafarge, Tanguy, Marcaida, Manuel, Nakagawa, Hiroshi, Ruane, Alex C., Singh, Balwinder, Singh, Upendra, Tang, Liang, Tao, Fulu, Fugice, Job, Yoshida, Hiroe, Zhang, Zhao, Wilson, Lloyd T., Baker, Jeff, Yang, Yubin, Masutomi, Yuji, Wallach, Daniel, Acutis, Marco, Bouman, Bas

“…For most biophysical domains, differences in model structures are seldom quantified. Here, we used a taxonomy-based approach to characterise thirteen rice…”
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A satellite-based model for estimating PM2.5 concentration in a sparsely populated environment using soft computing techniques by Yeganeh, Bijan, Hewson, Michael G., Clifford, Samuel, Knibbs, Luke D., Morawska, Lidia

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Identifying parametric controls and dependencies in integrated assessment models using global sensitivity analysis by BUTLER, Martha P, REED, Patrick M, FISHER-VANDEN, Karen, KELLER, Klaus, WAGENER, Thorsten

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A generalized multistage optimization modeling framework for life cycle assessment-based integrated solid waste management by LEVIS, James W, BARLAZ, Morton A, DECAROLIS, Joseph F, RANJITHAN, S. Ranji

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DOMIFFECT (DOMIno eFFECT): user-friendly software for domino effect analysis by Khan, Faisal I, Abbasi, S.A

“…Most of the past risk assessment studies deal with accidents in a single industry, more so in one of the units of an industry. However, it is always possible…”
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The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support by Razavi, Saman, Jakeman, Anthony, Saltelli, Andrea, Prieur, Clémentine, Iooss, Bertrand, Borgonovo, Emanuele, Plischke, Elmar, Lo Piano, Samuele, Iwanaga, Takuya, Becker, William, Tarantola, Stefano, Guillaume, Joseph H.A., Jakeman, John, Gupta, Hoshin, Melillo, Nicola, Rabitti, Giovanni, Chabridon, Vincent, Duan, Qingyun, Sun, Xifu, Smith, Stefán, Sheikholeslami, Razi, Hosseini, Nasim, Asadzadeh, Masoud, Puy, Arnald, Kucherenko, Sergei, Maier, Holger R.

“…Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be…”
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Flood inundation modelling: A review of methods, recent advances and uncertainty analysis by Teng, J., Jakeman, A.J., Vaze, J., Croke, B.F.W., Dutta, D., Kim, S.

“…This paper reviews state-of-the-art empirical, hydrodynamic and simple conceptual models for determining flood inundation. It explores their advantages and…”
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A novel hybrid artificial intelligence approach for flood susceptibility assessment by Chapi, Kamran, Singh, Vijay P., Shirzadi, Ataollah, Shahabi, Himan, Bui, Dieu Tien, Pham, Binh Thai, Khosravi, Khabat

“…A new artificial intelligence (AI) model, called Bagging-LMT - a combination of bagging ensemble and Logistic Model Tree (LMT) - is introduced for mapping…”
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APSIM – Evolution towards a new generation of agricultural systems simulation by Holzworth, Dean P., Huth, Neil I., deVoil, Peter G., Zurcher, Eric J., Herrmann, Neville I., McLean, Greg, Chenu, Karine, van Oosterom, Erik J., Snow, Val, Murphy, Chris, Moore, Andrew D., Brown, Hamish, Whish, Jeremy P.M., Verrall, Shaun, Fainges, Justin, Bell, Lindsay W., Peake, Allan S., Poulton, Perry L., Hochman, Zvi, Thorburn, Peter J., Gaydon, Donald S., Dalgliesh, Neal P., Rodriguez, Daniel, Cox, Howard, Chapman, Scott, Doherty, Alastair, Teixeira, Edmar, Sharp, Joanna, Cichota, Rogerio, Vogeler, Iris, Li, Frank Y., Wang, Enli, Hammer, Graeme L., Robertson, Michael J., Dimes, John P., Whitbread, Anthony M., Hunt, James, van Rees, Harm, McClelland, Tim, Carberry, Peter S., Hargreaves, John N.G., MacLeod, Neil, McDonald, Cam, Harsdorf, Justin, Wedgwood, Sara, Keating, Brian A.

“…Agricultural systems models worldwide are increasingly being used to explore options and solutions for the food security, climate change adaptation and…”
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Introductory overview: Optimization using evolutionary algorithms and other metaheuristics by Maier, H.R., Razavi, S., Kapelan, Z., Matott, L.S., Kasprzyk, J., Tolson, B.A.

“…Environmental models are used extensively to evaluate the effectiveness of a range of design, planning, operational, management and policy options. However,…”
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A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data by Xiao, Changjiang, Chen, Nengcheng, Hu, Chuli, Wang, Ke, Xu, Zewei, Cai, Yaping, Xu, Lei, Chen, Zeqiang, Gong, Jianya

“…Sea surface temperature (SST) is a vitally important parameter of the global ocean, which can profoundly affect the climate and marine ecosystems. To achieve…”
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Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation by Meyer, Hanna, Reudenbach, Christoph, Hengl, Tomislav, Katurji, Marwan, Nauss, Thomas

“…Importance of target-oriented validation strategies for spatio-temporal prediction models is illustrated using two case studies: (1) modelling of air…”
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Systematic testing of an integrated systems model for coastal zone management using sensitivity and uncertainty analyses by Nguyen, T.G., de Kok, J.L.

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Advances in Bayesian network modelling: Integration of modelling technologies by Marcot, Bruce G., Penman, Trent D.

“…Bayesian network (BN) modeling is a rapidly advancing field. Here we explore new methods by which BN model development and application are being joined with…”
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