(G) and observed discharge (Q), whereas the other data-driven model, ANN-Ensemble (ANN-E), and the two conceptual models, HBV and GR4J, use forecasted meteorological inputs (P and PET), whereby we employ ensemble seasonal meteorological forecasts. We compared low flow forecasts without any meteorological forecasts as input (ANN-I) and five different cases of seasonal meteorological forcing: (1)...

We present the opportunities and limitations of administrative benefits data held by local authorities for linkage projects. Whilst richness this has been exploited practitioners administration, its potential remains little explored researchers. discuss quality, sample selection legal gateways sharing.
 Drawing on our experience working with over 40 authorities, we structure three datasets...

Background & Aims of the Study: Sulfur dioxide is a component of greatest concern and is used as an indicator for the larger group of gaseous sulfur oxides (SOx). Sulfur dioxide can be absorbed into your body through the nose and lungs, its reaction with the moisture in the nose and nasal cavity, and entering the circulatory system directly through the airways. The aim of this study is ...

The high degree of spatial variability in climate conditions, and a lack of meteorological data for East Asia, present challenges to conducting surface water research in the context of the hydrological cycle. In addition, East Asia is facing pressure from both water resource scarcity and water pollution. The consequences of water pollution have attracted public concern in recent years. The low ...

OBJECTIVES To identify the meteorological drivers of dengue vector density and determine high- and low-risk transmission zones for dengue prevention and control in Cairns, Australia. METHODS Weekly adult female Ae. aegypti data were obtained from 79 double sticky ovitraps (SOs) located in Cairns for the period September 2007-May 2012. Maximum temperature, total rainfall and average relative h...

In the evaluation of non-efficient units by Data Envelopment Analysis (DEA) referenced Decision Making Units (DMU’s) have an important role. Unfortunately DMU’s with extra ordinary output can lead to a monopoly in a reference set, the fact called abnormality due to the outliers' data. In this paper, we introduce a DEA model for evaluating DMU’s under this circumstance. The layer model can resul...