AWRA 2010 Spring Specialty Conference, Orlando, FL, March 29-31, 2010
Jack Dangermond and David Maidment
“GIS is a vital tool for building a digital information base for water resources management and analysis. Thus far, the focus in application of GIS in water resources has been on processing and synthesis of geospatial water data layers and building GIS preprocessors for water simulation models. Besides desktop and server-based GIS, a new field of web-based GIS is emerging, supported by broader bandwidth, faster computers and massive data storage. Organizations are creating geo-services on the web to open access to their information. A new challenge in water resources is to use GIS and the web to synthesize access to water observations data – the time series of flow, water levels and water quality about surface and groundwater resources that are presently held in a myriad of independently managed tabular databases maintained by water agencies. The Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI) has invented a language, WaterML, for the transmission of water observations data through the internet, and has built a national water metadata catalog for water observations data in the United States. By geo-enabling and extending the CUAHSI model for water data services a new web GIS for water resources can be created. This will enable the easy integration of large volumes of water data and complex models into simple to use applications that become pervasive.”
New book from the Committee on Challenges and Opportunities in Earth Surface Processes, National Research Council:
“During geologic spans of time, Earth’s shifting tectonic plates, atmosphere, freezing water, thawing ice, flowing rivers, and evolving life have shaped Earth’s surface features. The resulting hills, mountains, valleys, and plains shelter ecosystems that interact with all life and provide a record of Earth surface processes that extend back through Earth’s history. Despite rapidly growing scientific knowledge of Earth surface interactions, and the increasing availability of new monitoring technologies, there is still little understanding of how these processes generate and degrade landscapes.
“Landscapes on the Edge identifies nine grand challenges in this emerging field of study and proposes four high-priority research initiatives. The book poses questions about how our planet’s past can tell us about its future, how landscapes record climate and tectonics, and how Earth surface science can contribute to developing a sustainable living surface for future generations.”
“This is an EPSRC-funded research position working on the Explaining, Modelling & Forecasting Global Dynamics (ENFOLD-ing) project. The main purpose of this post is to initiate, develop, design and be responsible for the delivery of a programme of high quality quantitative research into the relevant statistical, geographical and theoretical aspects related to migration analysis, as well as related issues to the overall aims of the ENFOLD project; this includes working in and contributing to the wider ENFOLD team effort.
“Funding is available for two years in the first instance.
“The ideal candidate will have extensive programming experience (in C#, C++, Java, Python etc) , expertise in designing, constructing and analysing large databases and a PhD in any of the following:
- a quantitative speciality within a social science discipline such as; statistics, geography, economics, sociology, epidemiology/ public health, GIS, spatial analysis
- a science discipline with experience in social science applications, such as computer science, maths, physics, medicine, and any other relevant disciplines.”
Forest Ecology and Management, 257 (9), p.1910-1919, Apr 2009
Teich, M. / Bebi, P.
“The protection of people, buildings and infrastructure against natural hazards is one of the key functions of mountain forests. Since the protective function strongly depends on small-scale local conditions such as terrain and stand characteristics, spatially explicit evaluation methods are necessary to provide information required for an effective and cost-efficient forest management. Risk analyses are recognized as the best method for estimating the danger from various natural hazards. Currently, however, risk-based strategies are rarely addressed in the management of protection forest. We present and discuss a risk-based approach to evaluate the protective effect of mountain forests in a spatially explicit manner to demonstrate the advantages of future risk-based protection forest management. We illustrate the approach by performing a GIS-based risk analysis in the case study area ‘Bannwald of Andermatt’ (Switzerland) for a 300-year snow avalanche event. Classifying forest structures based on aerial photographs allowed developing different forest cover scenarios and modeling potential avalanche release areas within the forest. Potential avalanche release areas above the forest and the avalanche run-out distances under five different scenarios of forest cover were calculated by using a two-dimensional avalanche simulation model. We calculated the annual collective risk for each scenario and compared the change in risk to reveal the spatial distribution of the protective effect of the forest. Resulting risks differed strongly between forest cover change scenarios. An enlargement of an existing wind-disturbed area within lower parts of the slope resulted only in a slight increase of risk. In contrast, the effect of an unforested area in the upper parts of the observed forest more than doubled the risk. These results show how a risk-based approach can help to quantify and illustrate the impact of differences in forest cover on the protective effect of mountain forests. It is a promising approach to determine the economic value of protection forests and thus provide quantitative and qualitative information for cost-efficient forest maintenance planning. With regard to the achievements of research to date, the presented approach may serve as a valuable method to support decision-making in a future protection forest management.”
Environmental Research Letters, Volume 5, Number 1, 2010
Olga VWilhelmi and Mary H Hayden
“Climate change is predicted to increase the intensity and negative impacts of urban heat events, prompting the need to develop preparedness and adaptation strategies that reduce societal vulnerability to extreme heat. Analysis of societal vulnerability to extreme heat events requires an interdisciplinary approach that includes information about weather and climate, the natural and built environment, social processes and characteristics, interactions with stakeholders, and an assessment of community vulnerability at a local level. In this letter, we explore the relationships between people and places, in the context of urban heat stress, and present a new research framework for a multi-faceted, top-down and bottom-up analysis of local-level vulnerability to extreme heat. This framework aims to better represent societal vulnerability through the integration of quantitative and qualitative data that go beyond aggregate demographic information. We discuss how different elements of the framework help to focus attention and resources on more targeted health interventions, heat hazard mitigation and climate adaptation strategies.”
International Journal of Geographical Information Science, Volume 24, Issue 4 April 2010 , pages 607 – 621
Lin Hui; Zhu Jun; Gong Jianhua; Xu Bingli; Qi Hua
“To improve the efficiency of planning and designing silt dam systems, this article employs theories and technologies of collaboration and distributed virtual geographic environments (VGEs) to construct a collaborative virtual geographic environment (CVGE) system. The CVGE system provides geographically distributed users with a shared virtual space and a collaborative platform to implement collaborative planning. Many difficulties have been found in integrating data resources and model procedures for the planning of silt dam systems because of their diversity in heterogeneous environments. Unlike most of the current distributed system applications, the proposed CVGE system not only supports multi-platform and multi-program-language interoperability in the dynamically changing network environment, but also shares programs, data and software in the collaborative environment. Based on creating a shared 3D space by virtual reality technology, agent and grid technologies were tightly coupled to develop the CVGE system. A grid-based multi-agent system service framework was designed to implement this new paradigm for the CVGE system, which efficiently integrates and shares geographically distributed resources as well as having the ability to build modelling procedures on different platforms. At the same time, mobile agent computing services were implemented to reduce the network load, process parallel tasks, enhance communication efficiency and adapt dynamically to the changing network environment. Using Java, JMF (Java Media Framework API), Globus Toolkits (GT) core, Voyager, C++, and the OpenGL development package, a prototype system was developed to support silt dam systems planning in the case study area, the Jiu-Yuan-Gou watershed of the Loess Plateau, China. Compared with the traditional workflow, the CVGE system can reduce the workload by between one third and a half.”
Environmental Modelling and Software, 25 (4), p.539-553, Apr 2010
Wang, J. / Chen, J. / Ju, W. / Li, M.
“Land use, land use change and forestry (LULUCF) can play a positive role in mitigating global warming by sequestering carbon from the atmosphere into vegetation and soils. Local entities (e.g. local government, community, stockholders) have been making great efforts in enhancing carbon sequestration (CS) of local forests for mitigating global climate change and participating in international carbon-trade promoted by the Kyoto Protocol. Approaches and tools are needed to assess the enhancement of CS through land use changes and proper policy decisions. This paper presents an integrated assessment framework and a spatial decision support system (IA-SDSS) as a tool to support land-use planning and local forestry development with consideration of CS. The IA-SDSS integrates two process-based carbon models, a spatial decision (EMDS) module, a spatial cost-benefit analysis (CBA) module, and the analytic hierarchy process (AHP) module. It can provide spatially explicit CS information as well as CS-induced economic benefits under various scenarios of the carbon credit market. A case study conducted in Liping County, Guizhou Province, China demonstrated that the IA-SDSS developed in this study is applicable in supporting decision-making on ‘where’ and ‘how’ to adopt forestry land use options in favor of CS.”
Cartography and Geographic Information Science, Volume 37, Number 1, January 2010 , pp. 45-56(12)
Curtis, Andrew; Duval-Diop, Dominique; Novak, Jenny
“The devastation caused by Hurricane Katrina is still being felt by many neighborhoods of New Orleans and along the Gulf Coast. As these communities struggle to recover, academia has been forced to acknowledge that there is little known or theorized about the spatial processes of recovery, especially at the fine scale. As a result this paper will investigate how post-disaster landscape characteristics can be extracted from spatial video data for neighborhoods of New Orleans. These will be turned into a statistical surface using analytical approaches more commonly applied in spatial epidemiology. Spatial patterns of abandonment and recovery will be identified that can be used as a basis for a next round of causative investigation. The paper finds that by using the spatial overlap of four different analyses involving two different data input locations and two filter sizes, the Holy Cross neighborhood of New Orleans does indeed reveal areas with higher rates of recovery, and continuing abandonment. However, even within these areas, spatial heterogeneity can be found. This paper uses Google Street View to mirror spatial video data collected in participatory collaborations with New Orleans community groups so that readers can replicate the methods presented here for other neighborhoods of New Orleans.”
GeoInformatica, Volume 14, Number 3 / July, 2010
Shijun Yu and Stefano Spaccapietra
“Intelligent query answering in Location-based Services refers to their capability to provide mobile users with personalized and contextualized answers. Personalization is expected to lead to answers that better match user’s interests, as inferable from the user’s profile. Contextualization aims at not selecting answers that for some reason would not be appropriate at the time and place of the user query. These goals are beyond the current state of art in LBS, or are provided based on ad hoc solutions specific to the application at hand. This paper reports on the results of an investigation aiming at defining the knowledge infrastructure that should be developed within the LBS to make it capable of returning intelligent answers. We first discuss the data management features that make LBS different from other query answering systems. Next we propose a data infrastructure that builds on the idea of modular ontologies. We explain how the relevant knowledge may be incrementally set up and dynamically maintained based on an application-independent approach. Last we show how this knowledge is used to reformulate user’s queries via personalized and contextualized rewriting.”
Physical Geography, Volume 31, Number 1 / January-February 2010
Daehyun Kim, David M. Cairns, and Jesper Bartholdy
“In coastal environments, biogeographic patterns are generally influenced by surface elevation and horizontal distance from sea water. However, it is still unclear whether these major topographic factors are significant controls of vegetation patterns across spatial scales at which different physical processes operate. This study investigated such a topography-vegetation relationship in a Danish salt marsh, focusing upon two scales: a macro-scale (ca. 500 m) across the marsh platform, encompassing seaward and landward areas, and a meso-scale (ca. 25 m) across tidal creeks. While long-term sea-level variation and grazing influenced the macro-scale pattern, short-term fluvial-geomorphic processes drove the meso-scale pattern. Despite these different underlying processes, similar floristic gradient structures between the two scales were identified by nonmetric multidimensional scaling. The gradient represented an ecological sequence from early to late succession, and strongly correlated with surface elevation. However, the gradient did not show any significant relationship with distance from shoreline or tidal channels. Our results suggest that, in salt marshes, elevation plays a still more important ecological role than the horizontal position relative to sea water at both macro- and meso-scales. The presence of one such fundamental component makes the system relatively simple, and will facilitate future scaling attempts.”