scholarly journals Features of Balance Model Development of Exclave Region

2015 ◽  
Vol 2 ◽  
pp. 113-124
Author(s):  
T. R. Gareev
Keyword(s):  
Model Development ◽  
Balance Model

scholarly journals A Comprehensive Review of Low Impact Development Models for Research, Conceptual, Preliminary and Detailed Design Applications

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1541 ◽  
Author(s):  
Sahereh Kaykhosravi ◽  
Usman Khan ◽  
Amaneh Jadidi
Keyword(s):  
Spatial Data ◽  
Spatial Scales ◽  
Low Impact Development ◽  
Model Development ◽  
Point Of View ◽  
Tree Canopy ◽  
Balance Model ◽  
Runoff Generation ◽  
Development Models ◽  
Model Features

This review compares and evaluates eleven Low Impact Development (LID) models on the basis of: (i) general model features including the model application, the temporal resolution, the spatial data visualization, the method of placing LID within catchments; (ii) hydrological modelling aspects including: the type of inbuilt LIDs, water balance model, runoff generation and infiltration; and (iii) hydraulic modelling methods with a focus on the flow routing method. Results show that despite the recent updates of existing LID models, several important features are still missing and need improvement. These features include the ability to model: multi-layer subsurface media, tree canopy and processes associated with vegetation, different spatial scales, snowmelt and runoff calculations. This review provides in-depth insight into existing LID models from a hydrological and hydraulic point of view, which will facilitate in selecting the best-suited model. Recommendations on further studies and LID model development are also presented.

scholarly journals THE BALANCE OF LEARNING MODEL DEVELOPMENT AT ELEMENTARY SCHOOL AGE

2015 ◽  
Vol 1 (2) ◽  
pp. 14
Author(s):  
Widiastuti Widiastuti ◽  
Tomy Ariyanto
Keyword(s):  
Elementary School ◽  
Dynamic Balance ◽  
Model Development ◽  
Field Testing ◽  
Learning Model ◽  
Balance Model ◽  
School Age ◽  
Main Trial ◽  
Elementary School Age ◽  
Post Test

This research aims to produce a balance learning model for elementary school age. This study used Research & Development (R&D) method. Instrument used in this research is balance a Modified Test of Dynamic Balance applied to collect data in children of elementary school age. Those step are: (1) need analysis, (2) expert justment; (3) limited trial (small group trial); and (4) main trial (field testing). Effectiveness of implementation of balance learning model in children of elementary school age using sample of 70 students by "t-test” techniqe. Pre test and post test were obtained the average result of pre test of 39,85 and average post test 68,42. The total of pre test and post test was 28,57 with deviation standard of 8,89 and t value pf 26,88 so the data is declared significant. It means balance model in children at elementary school age is effective to improve elementary school balance. Based on results of research it is concluded that the balance model in children at elementary school age being developed has a significant effectiveness.

scholarly journals Hydrogeological Bayesian Hypothesis Testing through Trans-Dimensional Sampling of a Stochastic Water Balance Model

Water ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1463 ◽  
Author(s):  
Trine Enemark ◽  
Luk JM Peeters ◽  
Dirk Mallants ◽  
Okke Batelaan ◽  
Andrew P. Valentine ◽  
...  
Keyword(s):  
Water Balance ◽  
Hypothesis Testing ◽  
Conceptual Model ◽  
Conceptual Models ◽  
Model Development ◽  
Balance Model ◽  
Groundwater Balance ◽  
Bayesian Hypothesis Testing ◽  
Groundwater Flow Modelling ◽  
Set Up

Conceptual uncertainty is considered one of the major sources of uncertainty in groundwater flow modelling. In this regard, hypothesis testing is essential to increase system understanding by refuting alternative conceptual models. Often a stepwise approach, with respect to complexity, is promoted but hypothesis testing of simple groundwater models is rarely applied. We present an approach to model-based Bayesian hypothesis testing in a simple groundwater balance model, which involves optimization of a model in function of both parameter values and conceptual model through trans-dimensional sampling. We apply the methodology to the Wildman River area, Northern Territory, Australia, where we set up 32 different conceptual models. A factorial approach to conceptual model development allows for direct attribution of differences in performance to individual uncertain components of the conceptual model. The method provides a screening tool for prioritizing research efforts while also giving more confidence to the predicted water balance compared to a deterministic water balance solution. We show that the testing of alternative conceptual models can be done efficiently with a simple additive and linear groundwater balance model and is best done relatively early in the groundwater modelling workflow.

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