A design of experiment aided sensitivity analysis and parameterization for hydrological modeling

2012 ◽  
Vol 39 (4) ◽  
pp. 460-472 ◽  
Author(s):  
Hongjing Wu ◽  
Leonard M. Lye ◽  
Bing Chen
Keyword(s):  
Design Of Experiment ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Positive Impact ◽  
Statistical Design ◽  
Hudson Bay ◽  
Hydrological Models ◽  
Hudson Bay Lowlands ◽  
Negative Effect ◽  
Quadratic Factor

To provide a better understanding of the water balance in the Deer River watershed of the Hudson Bay lowlands, the Semi-distributed Land Use-based Runoff Process hydrological model was applied to simulate the runoff over a 20 year period. The purpose of this study is to develop an approach to examine the sensitivity of the ten parameters and their interactions via statistical design of experiment methodology. Using the proposed approach, the contribution of each parameter and how they interact with one another were evaluated. The results indicated that the interaction between “retention constant for fast storage” and “precipitation factor” had the greatest positive impact on the Nash–Sutcliffe efficiency (NSE) and the quadratic factor term of “precipitation factor” had the greatest negative effect on the NSE. The proposed approach provided an effective tool for evaluating the contribution of the input parameters and could also be applied for calibration of other hydrological models.

Coupling Hydrological models using BMI in eWaterCycle

2020 ◽  
Author(s):  
Niels Drost ◽  
Rolf Hut ◽  
Nick Van De Giesen ◽  
Ben van Werkhoven ◽  
Jerom P.M. Aerts ◽  
...  
Keyword(s):  
Open Source ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Open Science ◽  
Ease Of Use ◽  
Integrated Modeling ◽  
Model Output ◽  
Hydrological Models ◽  
Basic Model ◽  
Output Quality

<p>The eWaterCycle platform is a fully Open-Source platform built specifically to advance the state of FAIR and Open Science in hydrological Modeling. eWaterCycle builds on web technology, notebooks and containers to offer an integrated modeling experimentation environment for scientists. It allows scientists to run any supported hydrological model with ease, including setup and pre-processing of all data required. Common datasets such as ERA-Interim and ERA-5 forcing data and observations for verification of model output quality are available for usage by the models, and a Jupyter based interface is available for ease of use.</p><p>As the main API for models, we use the Basic Model Interface (BMI). This allows us to support models in a multitude of languages. Our gRPC based system allows coupling of models, and running of multiple instances of the same model. Our system was designed to work with higher level interfaces such as PyMT, and we are currently integrating PyMT into our platform. During my talk I will give an overview of the different elements of the eWaterCycle platform.</p><p>The BMI interface was specifically designed to make it easy to implement in any given model. During the FAIR Hydrological Modeling workshop a number of modelers worked on creating a BMI interface for their models, and making them available in the eWaterCycle system. To show the amount of effort required in common cases, I will show the BMI interface that was created for a number of these models, including SUMMA, HYPE, Marrmot, TopoFlex, LisFlood, WFLOW, and PCR-GLOBWB.</p>

scholarly journals Selection of a Hydrological Model and Objective Function for Water Resources Management in Predominantly Rural Watershed using Criteria-Based Evaluation

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Pratik Singh Thakuri ◽  
NT Sohan Wijesekera
Keyword(s):  
Water Resources ◽  
Objective Function ◽  
Water Resources Management ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Suitable Model ◽  
Hydrological Models ◽  
Objective Functions ◽  
Resources Management ◽  
Selection Of

Selection of a fitting up-to-date hydrological model using an evaluation of the functionality, modeler’s requirements, and modeling experiences are very important for water resources management in rural watersheds. Similarly, the selection of appropriate objective function is equally crucial in hydrological modeling processes. Accordingly, A review study was carried to select an appropriate model and objective function for water resources modeling in the predominantly rural watershed. Hydrological models namely HEC-HMS, MIKE SHE, SWAT, TOPMODEL, and SWMM, and objective functions namely NSE, RMSE, MRAE, and RAEM were reviewed. Hydrological models were reviewed under several criteria viz. temporal scale, spatial scale, hydrological processes, documentation, resources requirement, user interface and, model acquisition cost. Whereas, criteria for the review of objective functions were mathematical implication, flow regime, and modeling purpose. Each of the review criteria was comprised of several factors. The criteria-based evaluation was done to quantify the review outcome of the hydrological model and objective function. SWMM was found to be the most suitable model for simulating rural watersheds for water resources management purposes whereas, MRAE was found to be the most appropriate objective function to evaluate the performance of the model selected for rural watershed modeling.

Comparing the impact for hydrology of the new ERA5 reanalyses dataset over ERA-Interim for 8 hydrological models in 6 catchments using the eWaterCycle community modelling environment.

2020 ◽  
Author(s):  
Rolf Hut ◽  
Niels Drost ◽  
Jerom Aerts ◽  
Laurene Bouaziz ◽  
Willem van Verseveld ◽  
...  
Keyword(s):  
Data Science ◽  
Conceptual Models ◽  
Hydrological Modeling ◽  
Hydrological Model ◽  
Global Climate ◽  
Hydrological Modelling ◽  
Additional Parameter ◽  
Hydrological Models ◽  
Comparison Study ◽  
The Impact

<p>The release of the European Centre for Medium-Range Weather Forecasts (ECMWF)’s Re-Analysis 5 (ERA-5) global climate forcing dataset is expected to greatly improve the quality of hydrological modeling. Following this release there is great interest in assessing the improvements of ERA-5 relative to its predecessor ERA-Interim for hydrological modeling and predictions.</p><p>In this study we compare streamflow predictions when using ERA-interim vs ERA-5 as forcing data for a suite of hydrological models from different research groups that capture the variation in modelling strategies within the hydrological modelling community. We check whether physically based models, defined as those that do not require additional parameter calibration, would lead to different conclusions in comparison to conceptual models, defined as those that require calibration. Based on the hydrological model structure we expect that conceptual models that need calibration show less difference in predicting discharge (skill) between ERA-5 and ERA-Interim, where-as the physical based (non-calibrated) models most likely will benefit from the improved accuracy of the ERA-5 input. This assessment will provide the HEPEX community with answers on how the ERA-5 dataset will improve hydrological predictions based on different hydrological modelling concepts.</p><p>An additional key objective while conducting this study is compliance to the FAIR principles of data science. To achieve this we held a workshop in Leiden, the Netherlands, where multiple hydrological models were integrated into the eWatercycle II system. eWatercycle II is a hydrological model platform containing a growing number of hydrological models. The platform facilitates research and cohesivity within the hydrological community by providing an Open-Source platform built specifically to advance the state of FAIR and Open Science in Hydrological Modeling. We also use this study to demonstrate the feasibility of eWatercycle II as a platform for FAIR hydrological models.</p><p>Preliminairy results from this comparison study were presented at the AGU Fall Meeting 2019. Here we will present the full results of the comparison study.</p>

The eWaterCycle platform for FAIR and Open Hydrological Modeling

2020 ◽  
Author(s):  
Niels Drost ◽  
Jaro Camphuijsen ◽  
Rolf Hut ◽  
Nick Van De Giesen ◽  
Ben van Werkhoven ◽  
...  
Keyword(s):  
Hydrological Modeling ◽  
Hydrological Model ◽  
Processing System ◽  
Scientific Work ◽  
Open Science ◽  
Integrated Modelling ◽  
Hydrological Models ◽  
Processing Pipeline ◽  
Output Quality ◽  
Reproducible Manner

<p>The eWaterCycle platform is a fully Open-Source platform built specifically to advance the state of FAIR and Open Science in Hydrological Modeling.</p><p>eWaterCycle builds on web technology, notebooks and containers to offer an integrated modelling experimentation environment for scientists. It allows scientists to run any supported hydrological model with ease, including setup and preprocessing of all data required. </p><p>eWaterCycle comes with an easy to use explorer, so the user can get started with the system in minutes, and uniquely lets the user generate a hydrological model notebook based on their preferences.</p><p>The eWaterCycle platform uses Jupyter as the main interface for scientific work to ensure maximum flexibility. Common datasets such as ERA-Interim and ERA-5 forcing data and observations for verification of model output quality are available for usage by the models.</p><p>To make the system capable of running any hydrological model we use docker containers coupled through gRPC. This allows us to support models in a multitude of languages, and provide fully reproducible model experiments.</p><p>Based on experiences during a FAIR Hydrological Modeling workshop in Leiden in April 2019 we have created a common pre-processing system for Hydrological modeling, based on technology from the climate sciences, in particular ESMValTool and Iris. This pre-processing pipeline can create input for a number of Hydrological models directly from the source dataset such as ERA-Interim in a fully transparent and reproducible manner.</p><p>During this pico presentation, we will explain how this platform supports creating reproducible results in an easy to use fashion.</p>

scholarly journals Impact of Economic Freedom on Corruption Revisited in ASEAN Countries: A Bayesian Hierarchical Mixed-Effects Analysis

Economies ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 3
Author(s):  
Nguyen Ngoc Thach ◽  
Bui Hoang Ngoc
Keyword(s):  
Economic Freedom ◽  
Positive Impact ◽  
Mixed Effects ◽  
Random Coefficients ◽  
Bayesian Hierarchical ◽  
Country Level ◽  
Corruption Index ◽  
Negative Effect ◽  
Economic Freedom Index ◽  
Asean Countries

Conceptual and applied studies assessing the linkage between economic freedom and corruption expect that economic freedom boosts economic growth, improves income, and reduces levels of corruption. However, most of them have concentrated on developed and developing groups, while Association of Southeast Asian Nations (ASEAN) countries have drawn much less attention. Empirical findings are most often conflicting. Moreover, previous studies performed rather simple frequentist techniques regressing one or some freedom indices on corruption that do not allow for grasping all the aspects of economic freedom as well as capturing variations across countries. The study aims to investigate the effects of ten components of economic freedom index on the level of corruption in ten ASEAN countries from 1999 to 2018. By applying a Bayesian hierarchical mixed-effects regression via a Monte Carlo technique combined with the Gibbs sampler, the obtained results suggest several findings as follows: (i) In view of probability, the predictors property rights, government integrity, tax burden, business freedom, labor freedom, and investment freedom have a strongly positive impact on the response perceived corruption index; (ii) Government spending, trade freedom, and financial freedom exert a strongly negative effect, while the influence of monetary freedom is ambiguous; (iii) There is an existence of not only random intercepts but also random coefficients at the country level impacting the model outcome. The empirical outcome could be of major importance for more efficient corruption controlling in emerging countries, including ASEAN nations.

Infrastructure and Trade: An Empirical Study Based on China and Selected Asian Economies

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110360
Author(s):  
Imran Ur Rahman ◽  
Mohsin Shafi ◽  
Liu Junrong ◽  
Enitilina Tatiani M.K. Fetuu ◽  
Shah Fahad ◽  
...  
Keyword(s):  
Positive Impact ◽  
Ordinary Least Squares ◽  
Trade Flows ◽  
Transport Infrastructure ◽  
Sea Transport ◽  
Asian Economies ◽  
Negative Effect ◽  
Ict Infrastructure ◽  
High Standards ◽  
Merchandise Trade

We empirically determine the role of different forms of infrastructure on a country’s trade. We use an augmented gravity model that incorporates infrastructure in the estimation of merchandise trade flows. We take panel data, including China and 21 selected Asian economies, from 1999 to 2018. We find that the panel ordinary least squares (OLS) and poisson pseudo maximum likelihood (PPML) model estimations prove to be significant. Proxies for Transport Infrastructure including roads, railways, and sea transport, and Proxies for information and communication technology (ICT) infrastructure consisting of mobile, electricity, and internet connections show a strong and positive impact on trade while air transport and landline phone connection have an unexpected negative effect on trade. The positive estimates for quality of infrastructure signify that high standards of Transport and ICT infrastructures lead to increased trade flows of the exporting and importing countries. Results also show that cultural similarity leads to increased trade flows between China and its trading partners in Asia.

The Impact of Employee Empathy on Brand Trust in Organizational Complaint Response Emails: A Closer Look at Linguistic Realization

2021 ◽  
pp. 232948842110323
Author(s):  
Rebecca Van Herck ◽  
Sofie Decock ◽  
Bernard De Clerck ◽  
Liselot Hudders
Keyword(s):  
Positive Impact ◽  
Brand Trust ◽  
Mediating Effects ◽  
Customer Complaints ◽  
Moderation Effects ◽  
Complaint Handling ◽  
Negative Effect ◽  
Handling Quality ◽  
The Impact

This study investigates the effect of linguistic realizations of employee empathy (LREE) on brand trust in email responses to customer complaints. We explore possible mediating effects of perceived empathy and perceived complaint handling quality and we look into moderation effects of compensation (Study 1) or customer’s acceptance of blame (Study 2). Our aim is to find out if LREE have a negative or positive impact on the customer in cases of partial refunds, either because LREE are being perceived as insincere or as genuine expressions of concern. The results of two experiments show that LREE positively influence brand trust through higher perceived empathy and perceived complaint handling quality. However, the expected negative effect is not found, as LREE are more effective in a low versus high compensation condition. The effectiveness itself is not influenced by the acceptance of blame when a partial refund is offered.

scholarly journals Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
User Needs ◽  
User Requirements ◽  
Functional Requirements ◽  
User Comments ◽  
Online Comments ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
New Type

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

Constraining the age of the last interglacial–glacial transition in the Hudson Bay lowlands (Canada) using U–Th dating of buried wood

2012 ◽  
Vol 7 ◽  
pp. 37-47 ◽  
Author(s):  
G. Allard ◽  
M. Roy ◽  
B. Ghaleb ◽  
P.J.H. Richard ◽  
A.C. Larouche ◽  
...  
Keyword(s):  
Hudson Bay ◽  
Last Interglacial ◽  
Hudson Bay Lowlands

Green synthesis of silver nanoparticles from deoiled brown algal extract via Box-Behnken based design and their antimicrobial and sensing properties

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Saravana Periaswamy Sivagnanam ◽  
Adane Tilahun Getachew ◽  
Jae Hyung Choi ◽  
Yong Beom Park ◽  
Hee Chul Woo ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Green Synthesis ◽  
Design Of Experiment ◽  
Synthesis Method ◽  
Statistical Design ◽  
Sensing Properties ◽  
Algal Extract

AbstractThe aim of this work was to acquire even and sphere-shaped silver nanoparticles (AgNPs) using statistical design of experiment. AgNPs were produced by green synthesis method using deoiled

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