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Environmental Modelling and Software
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4.55
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3776
Papers 3774
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#1Lilian N. Araujo (UTFPR: Federal University of Technology - Paraná)
#2Jonatas T. Belotti (UTFPR: Federal University of Technology - Paraná)
Last.Hugo Siqueira (UTFPR: Federal University of Technology - Paraná)H-Index: 4
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Abstract Estimating of daily hospital admissions due to air pollution is a leading issue in environmental science. To better understand this problem, it is essential to improve the applied methodologies. The use of Generalized Linear Models (GLM) is well known. However, they may be improved using different methods to coefficients estimation and to consider seasonality. Alternative methodologies, rarely applied in such topic, are Artificial Neural Networks (ANN), efficient to solve non-linear pro...
#2Farrukh ChishtieH-Index: 8
Last.David Saah (USF: University of San Francisco)H-Index: 11
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Abstract Dam construction in mainland Southeast Asia has increased substantially in recent years. Most dams have the potential to generate value, however, potential and existing impacts include alterations in water regimes, loss and degradation of natural forests and bio-diversity. For mapping impacts, we have developed the Reservoir Mapping Tool for the greater Mekong region designed in ArcGIS Desktop 10.5 ModelBuilder, with dam point location and digital elevation model SRTM-30 m on a publicly...
#1Soo Yeon Choi (SNU: Seoul National University)H-Index: 2
#2Il Won Seo (SNU: Seoul National University)H-Index: 16
Last.Young-Oh Kim (SNU: Seoul National University)H-Index: 15
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Abstract The transient storage model (TSM) for the analysis of pollutant mixing in rivers has been hampered by parameter uncertainties due to the equifinality problem. The generalized uncertainty estimation method, which was frequently used to quantify the parameter uncertainty of TSM, has been criticized because this method uses informal likelihood which can cause overestimation of the uncertainty. Thus, in this study, we suggest a Bayesian inference method using a segment mixture (SM) likeliho...
Abstract This study presents r.landslide, a free and open source add-on to the open source Geographic Information System (GIS) GRASS software for landslide susceptibility mapping. The tool was written in Python language and works on the top of an Artificial Neural Network (ANN) fed with environmental parameters and landslide databases. In order to illustrate the application and effectiveness of the developed tool, a case study is presented for the municipality of Porto Alegre, Brazil. The result...
#1Jun Wang (USBR: United States Bureau of Reclamation)
#2Michelle A. Stern (USGS: United States Geological Survey)H-Index: 1
Last.Lorraine E. Flint (USGS: United States Geological Survey)H-Index: 27
view all 7 authors...
Abstract Runoff increases after wildfires that burn vegetation and create a condition of soil-water repellence (SWR). A new post-fire watershed hydrological model, PFHydro, was created to explicitly simulate vegetation interception and SWR effects for four burn severity categories: high, medium, low severity and unburned. The model was applied to simulate post-fire runoff from the Upper Cache Creek Watershed in California, USA. Nash–Sutcliffe modeling efficiency (NSE) was used to assess model pe...
#1Ziheng Sun (GMU: George Mason University)H-Index: 8
#2Liping Di (GMU: George Mason University)H-Index: 27
Last.Juozas Gaigalas (GMU: George Mason University)H-Index: 1
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Abstract The current routine of comparison and validation in climate science is frequently static and of low efficiency, which hinders evidence-based decision making and scientific confidence. Due to the aggressively increasing resolution, complexity, and associated data volumes of climate models, objectively comparing multiple models and assessing their accuracy against observations is an ever-increasing challenge. We propose an integrated framework for harmonizing state-of-the-art cyberinfrast...
#1Alisson R. Silva (PUC-MG: Pontifícia Universidade Católica de Minas Gerais)H-Index: 1
#2Adma R. Silva (PUC-MG: Pontifícia Universidade Católica de Minas Gerais)
Last.Maury M. Gouvêa (PUC-MG: Pontifícia Universidade Católica de Minas Gerais)H-Index: 4
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Abstract In real system simulations, the application of cellular automata has been shown as an interesting option, because it can represent an emergent behavior and its implementation is simple. This paper presents a method for simulating thermodynamic systems, such as cloud dynamics, with cellular automata. In accordance with thermodynamic principles, this paper presents an isolated system model that describes temperature dynamics. The model uses the Von Neumann neighborhood of five cells, each...
#1Graeme C. Dandy (University of Adelaide)H-Index: 40
#2Angela Marchi (University of Adelaide)H-Index: 11
Last.A. Ganji (UQAM: Université du Québec à Montréal)H-Index: 11
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Abstract Existing water resources are under stress due to increasing demands associated with population and economic growth as well as the effects of climate change which can reduce available supply and increase demand. Alternative sources such as stormwater harvesting and treated wastewater are being considered in many cities to supplement existing water supplies. Stormwater harvesting schemes that supplement existing water supply systems are complex as they consist of an integrated set of comp...
#1Gianna L. Marschmann (University of Hohenheim)
#2Holger Pagel (University of Hohenheim)H-Index: 6
Last.Thilo Streck (University of Hohenheim)H-Index: 28
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Abstract Biogeochemical models increasingly consider the microbial control of carbon cycling in soil. The major current challenge is to validate mechanistic descriptions of microbial processes and predicted system responses against experimental observations. We analyzed soil biochemical models of different complexity regarding parameter identifiability using information geometry, i.e. a model is geometrically interpreted as a manifold embedded in data space. The most complex model (PECCAD) was u...
#1Liang-Jun Zhu (CAS: Chinese Academy of Sciences)H-Index: 4
#2Junzhi Liu (Nanjing Normal University)H-Index: 11
Last.A-Xing ZhuH-Index: 35
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Abstract It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed modeling framework called SEIMS (short for Spatially Explicit Integrated Modeling System) to meet this need. First, a flexible modular structure with standard interfaces was designed, in whi...
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