Zobrazeno 1 - 6
of 6
pro vyhledávání: '"S. R. Wealands"'
Autor:
Siobhan C. de Little, Susan J. Nichols, S. R. Wealands, J. Angus Webb, Michael J. Stewardson, Kimberly A. Miller
Publikováno v:
Environmental Modelling & Software. 64:72-79
We describe software to facilitate systematic reviews in environmental science. Eco Evidence allows reviewers to draw strong conclusions from a collection of individually-weak studies. It consists of two components. An online database stores and shar
Autor:
Patrick Lea, Michael J. Stewardson, Richard H. Norris, Susan J. Nichols, S. R. Wealands, J. Angus Webb
Publikováno v:
Wetlands. 32:203-213
The environment is being increasingly recognized as a legitimate user of water. However, tension between environmental and consumptive uses remains and environmental water allocations may be subject to legal challenge. Current predictions of ecologic
Publikováno v:
Wetlands. 32:215-224
While the impacts of regulation on river systems have been investigated, the main focus of the research has been on ecological and in-channel impacts. An understanding of the impacts of regulation on floodplain geomorphology is needed in order to inf
Autor:
Michael R. Grace, Gerry P. Quinn, S. R. Wealands, Peter A. Vesk, Nick Bond, Ralph Charles Mac Nally, J. Angus Webb
Publikováno v:
Ecography. 30:526-536
Clustering of multivariate data is a commonly used technique in ecology, and many approaches to clustering are available. The results from a clustering algorithm are uncertain, but few clustering approaches explicitly acknowledge this uncertainty. On
Publikováno v:
Advances in Water Resources. 28:15-32
The current practice for assessing spatial predictions from distributed hydrological models is simplistic, with visual inspection and occasional point observations generally used for model assessment. With the increasing availability of spatial obser
Autor:
Andre Zerger, S. R. Wealands
Publikováno v:
Natural Hazards. 33:191-208
Spatially explicit hydrodynamic flood models can play animportant role in natural hazard risk reduction. A key element of these models that make them suitable for riskreduction is the ability to provide time-series inundation information about the on