Governance,enabling frameworks and policies for the transfer and diffusion of low carbon and climate adaptation technologies in developing countries     

James Haselip  Ulrich Elmer Hansen  Daniel Puig  Sara Trærup  Subash Dhar 《Climatic change》2015,131(3):363-370

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A three-dimensional analytical tool for modeling reactive transport     

Jones NL  Clement TP  Hansen CM 《Ground water》2006,44(4):613-617

In this note, we present a public domain analytical reactive transport modeling tool (ART3D, version 2.0). The tool is developed in FORTRAN and can be used for solving a system of a set of partial differential equations coupled with a first-order reaction network. ART3D uses a novel analytic solution technique proposed by Clement. The new software includes options for performing Monte Carlo simulations and automated parameter estimation.  相似文献   

Smart Interpretation – automatic geological interpretations based on supervised statistical models     

Mats Lundh Gulbrandsen  Knud Skou Cordua  Torben Bach  Thomas Mejer Hansen 《Computational Geosciences》2017,21(3):427-440

A method that infers a statistical model, which describes a relation between the knowledge of a geologist (quantified by geological interpretations) and the available information (such as geophysical data, well log data, etc.) that a geologist uses when he/she interprets is proposed and tested. The statistical model is then used to perform automatic geological interpretations wherever the same kinds of information, as used for the initial interpretations, are available. This methodology is named Smart Interpretation (SI). In this study, we look at two different approaches to infer such a model, and we demonstrate the applicability of the model to predict the depth to a low resistivity subsurface layer, based on interpretations from a geological expert, using a 19-layered resistivity model obtained from inversion of airborne electromagnetic (AEM) data. This study shows that SI is capable of making predictions with great accuracy. The method is fast and is able to handle large amounts of data of different origin, which suggest that the method may become a very useful approach to assist in geological modeling based on increasingly large amounts of data of different nature.  相似文献   

Is Climate Change Shifting the Poleward Limit of Mangroves?     

Sharyn M. Hickey  Stuart R. Phinn  Nik J. Callow  Kimberly P. Van Niel  Jeff E. Hansen  Carlos M. Duarte 《Estuaries and Coasts》2017,40(5):1215-1226

Ecological (poleward) regime shifts are a predicted response to climate change and have been well documented in terrestrial and more recently ocean species. Coastal zones are amongst the most susceptible ecosystems to the impacts of climate change, yet studies particularly focused on mangroves are lacking. Recent studies have highlighted the critical ecosystem services mangroves provide, yet there is a lack of data on temporal global population response. This study tests the notion that mangroves are migrating poleward at their biogeographical limits across the globe in line with climate change. A coupled systematic approach utilising literature and land surface and air temperature data was used to determine and validate the global poleward extent of the mangrove population. Our findings indicate that whilst temperature (land and air) have both increased across the analysed time periods, the data we located showed that mangroves were not consistently extending their latitudinal range across the globe. Mangroves, unlike other marine and terrestrial taxa, do not appear to be experiencing a poleward range expansion despite warming occurring at the present distributional limits. Understanding failure for mangroves to realise the global expansion facilitated by climate warming may require a focus on local constraints, including local anthropogenic pressures and impacts, oceanographic, hydrological, and topographical conditions.  相似文献