scholarly journals Grid-based simulation of river flows in Northern Ireland: Model performance and future flow changes

2021 ◽  
Vol 38 ◽  
pp. 100967
Author(s):  
A.L. Kay ◽  
H.N. Davies ◽  
R.A. Lane ◽  
A.C. Rudd ◽  
V.A. Bell
2021 ◽  
Author(s):  
Ponnambalam Rameshwaran ◽  
Ali Rudd ◽  
Vicky Bell ◽  
Matt Brown ◽  
Helen Davies ◽  
...  

<p>Despite Britain’s often-rainy maritime climate, anthropogenic water demands have a significant impact on river flows, particularly during dry summers. In future years, projected population growth and climate change are likely to increase the demand for water and lead to greater pressures on available freshwater resources.</p><p>Across England, abstraction (from groundwater, surface water or tidal sources) and discharge data along with ‘Hands off Flow’ conditions are available for thousands of individual locations; each with a licence for use, an amount, an indication of when abstraction can take place, and the actual amount of water abstracted (generally less than the licence amount). Here we demonstrate how these data can be used in combination to incorporate anthropogenic artificial influences into a grid-based hydrological model. Model simulations of both high and low river flows are generally improved when abstractions and discharges are included, though for some catchments model performance decreases. The new approach provides a methodological baseline for further work investigating the impact of anthropogenic water use and projected climate change on future river flows.</p>


2015 ◽  
Vol 7 (2) ◽  
pp. 296-320 ◽  
Author(s):  
Lei Li ◽  
Zongxue Xu ◽  
Depeng Zuo ◽  
Jie Zhao

A distributed hydrological model, the Grid-based Integrated Surface-groundwater MODel (GISMOD), was developed to simulate hydrological processes by considering water interaction among different soil layers. The model integrates six modules. Basic information on catchment, such as the flow direction and the drainage network, can be obtained automatically from digital elevation model (DEM) data by using the preprocessing module. In GISMOD, three methods are available to estimate precipitation and eight to estimate evapotranspiration in each grid. Infiltration excess flow, saturation flow, recharge flow from soil and groundwater are all considered by using a simplified method according to the three-layer structure of GISMOD. A case study in the upper-middle reaches of the Heihe River was presented to evaluate the model performance. The results show that the change tendencies of infiltrated water and recharged water are opposite in the study area; the surface water is mainly infiltrated to the soil layer in the upper streams, and then discharged by groundwater in the middle reaches, which is more consistent with the actual situation in the Heihe River basin. In addition, the simulated runoff of a river grid near the Yingluoxia hydrological station is compared with the observed one and the results also demonstrate that GISMOD has a better performance in runoff estimation on both daily and monthly scales.


2019 ◽  
Vol 28 (3S) ◽  
pp. 802-805 ◽  
Author(s):  
Marieke Pronk ◽  
Janine F. J. Meijerink ◽  
Sophia E. Kramer ◽  
Martijn W. Heymans ◽  
Jana Besser

Purpose The current study aimed to identify factors that distinguish between older (50+ years) hearing aid (HA) candidates who do and do not purchase HAs after having gone through an HA evaluation period (HAEP). Method Secondary data analysis of the SUpport PRogram trial was performed ( n = 267 older, 1st-time HA candidates). All SUpport PRogram participants started an HAEP shortly after study enrollment. Decision to purchase an HA by the end of the HAEP was the outcome of interest of the current study. Participants' baseline covariates (22 in total) were included as candidate predictors. Multivariable logistic regression modeling (backward selection and reclassification tables) was used. Results Of all candidate predictors, only pure-tone average (average of 1, 2, and 4 kHz) hearing loss emerged as a significant predictor (odds ratio = 1.03, 95% confidence interval [1.03, 1.17]). Model performance was weak (Nagelkerke R 2 = .04, area under the curve = 0.61). Conclusions These data suggest that, once HA candidates have decided to enter an HAEP, factors measured early in the help-seeking journey do not predict well who will and will not purchase an HA. Instead, factors that act during the HAEP may hold this predictive value. This should be examined.


Urban Studies ◽  
1967 ◽  
Vol 4 (2) ◽  
pp. 122-136
Author(s):  
M.C. Fleming
Keyword(s):  

Author(s):  
Charles A. Doan ◽  
Ronaldo Vigo

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.


2010 ◽  
Author(s):  
Diala R. Hawi ◽  
Linda R. Tropp ◽  
David A. Butz ◽  
Mirona A. Gheorghiu ◽  
Alexandra M. Zetes

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