bluuebunny/crossref_metadata_2025 huggingface dataset:
Penentuan Portofolio yang Optimal dengan Menggunakan Single Index Model pada Perusahaan Manufaktur yang Terdaftar di BEI
Authors: Dwiastuti Mira , Amaniyah Evaliati , Gani Echsan
Published: September 2018

The purpose of study is to determinan optimal portofolio by using Single Index Model at manufacturing company in BEI. The method used in this study is descriptive method. By using purposive sampling method is obtained 11 sample of the manufacturing company. The result of this study  is only three company that make up the optimal portfolio from 11 company because they  have ERB more than cut off point (0,086198) and These companies are PT. Gudang Garam, TBk, PT Astra outopart Tbk dan PT. Unilever Indonesia Tbk.  The proportion of stock in the portfolio are 19.68% PT Gudang garam Tbk, 72.83%  PT Astra outopart Tbk and 7.49% PT. Unilever Indonesia Tbk.  The expected return portfolio is. 10.11% greater  than expected return risk free (SBI) that only 0.534%, risk portfolio 0.2261 smaller than some risk individual stock and beta portfolio 0.9342
Pengaruh Profitabilitas, Investasi Aktiva Lancar, Perputaran Persediaan, dan Perputaran Piutang terhadap Tingkat Pendanaan Jangka Pendek Perusahaan Retail yang Listing di BEI Periode 2004-2008
Authors: SUCIANI SUCIANI
Published: September 2018

To overcome the complexity of competition in the market of retail industry, retail company should make an optimal financing decision. This research focus on short term debt financing of Retail company which is listing in Indonesia Stock Exchange during period (of time) 2004-2008. At that moment, the SBI rates showed progressively trend and degradation of customer purchasing power because of increasing price of goods and competitor of other retail company. Based on the empirical fact, this research aims to examine the influences of profitability, current asset investment, inventory turnover, and receivable turnover to Short Term Debt Financing of retail companies. The technique analyze used multiple linear regression. The result of regression test concluded that simultaneously profitability, current asset investment, inventory turnover, and receivable turnover had significantly influences for short-term debt financing. Also in partially test, profitability, current asset investment, inventory turnover, and receivable turnover also had significantly influences for short-term debt financing
Pengaruh Tangibility, Growth Opportunity, Size, Profitability, dan Risk Terhadap Struktur Modal: dalam Perspektif Pecking Order Theory pada Perusahaan Automotive and Allied Products di BEI
Authors: NUARSARI DEVI WAHYU
Published: September 2018

This research aims to test influence of tangibility, growth opportuity, size, profitability, and risk on the capital structure. This research is conducted on Automotive and Allied Products companies at BEI period 2004-2009, that still listed in the Indonesian Capital Market. The result of the test concluded that tangibility and size has a positive influence to the capital  structure, but profitability dan risk has a negative influence to the capital structure, and growth opportunity has a negative influence to the capital structure but not significant.
Pengaruh Stres Kerja terhadap Kinerja Karyawan dengan Variabel Intervening Kepuasan Kerja
Authors: SAFRIZAL HELMI BUYUNG AULIA
Published: September 2018

Job stress is a dynamic condition in which an individual is confronted with an opportunity, constraint, or demand related to what he or she desires and for which the outcome is perceived to be both uncertain and important. The result of job stress is employees become nervous, feel chronic anxiety, increased strain on the emotions, thought processes and physical condition. Further, work stress can threaten and disrupt the employee in completing the work. The purposes of this research are: 1) to analize whether job stress factors that include environtmental, organizational and individual partially have significant direct influence to job satisfaction; 2)  to analize whether job satisfaction have significant direct influence to job performance; 3) to find out whether job stres factor that include environtmental, organizational and individual partially have significant indirect influence to job performance. The result of this research are: 1) Job stress factors that include environtmental, organizational and individual partially have significant direct influence to job satisfaction; 2) job satisfaction have significant direct influence to job performance; 3) job stress factor that include environtmental, organizational and individual partially have significant indirect influence to job performance
Pengaruh Budaya Organisasi dan Kompensasi terhadap Kinerja Karyawan Divisi Kontruksi PT. AL
Authors: MUTTAQIN RIZKI , HERMININGSIH ANIK
Published: September 2018

This paper aims to analyze the influence of organizational culture on the performance of employees and compensation at PT. AL. A total of 31 employees of the construction division involved as respondents. Data were obtained through a questionnaire containing closed questions with a Likert scale. Data were analyzed using multiple linear regression. The results showed that the organization culture and compensation has a positive and significant influence on employee performance
Pengaruh Kepemilikan Manajerial, Keputusan Investasi, Keputusan Pendanaan, dan Kebijakan Deviden terhadap Nilai Perusahaan
Authors: Sasurya Aris , Asandimitra Nadia
Published: September 2018

The main objective of this research is to examine theeffect of manajerial ownership, investment decision, funding decision, and dividend policy on firm value that listed on Indonesia Stock Exchange (IDX). In this study, firm value measured by Price Book Value (PBV). Samples used in this study consisted of 11 companies. This study used a purposive sampling method is by determining the number of samples taken to certain criteria. The data analysis technique used in this study is multiple linear regression analysis which previously has been tested with the classical assumption test. The results showed that simultaneously managerial ownership, investment decisions, funding decisions, and dividend significantly influence on firm value in the companies listed in Indonesia Stock Exchange. Partially managerial ownership and funding decisions does not affect on firm value in the companies listed in Indonesia Stock Exchange, while investment decisions and dividend policy positive effect on firm value in the Companies listed in Indonesia Stock Exchange
Pengaruh Harga, Kualitas Produk Dan Region Of Origin terhadap Keputusan Pembelian Kaos Cak Cuk di Surabaya
Authors: JAILANI AHMAD SYIHABUDDIN
Published: September 2018

T-shirt, will never far from human life due to the need ofwearing it everyday. One of local famous T-shirt demanding by the customers is Cak-Cuk shirt. Cak Cuk is an iconic shirt that represents Surabaya. This research was conducted with a quantitative approach, which aimed to test the influence of price, product quality and region of origin to the purchasing decision. The population in this study were adolescents aged 16-30 years at Jalan Dharmawangsa number 35 Surabaya. Samples taken as much as 83 respondents with judgmental sampling techniques. The analysis tools are Multiple linear regression. The results showed that the influence of price, quality product, and region of origin of the purchasing decisions. The result of hypothesis testing showed that price, product quality, region of origin have partial influence to the purchasing decision
Pengaruh Motivasi Intrinsik dan Motivasi Ekstrinsik terhadap Kepuasan Kerja
Authors: Putra Aditya Kamajaya , Frianto Agus
Published: September 2018

Human resources is one of the elements that determine the success of an organization's goals. To achieve the goals of the organization then needs to be done is to give intrinsic motivation and extrinsic motivation. Referring to doing intrinsic motivation and extrinsic motivation then will result job satisfaction. The purpose of this research is to know condition and influence intrinsic motivation and extrinsic motivation on job satisfaction employee Human Resource Department in PT. Semen Gresik (Persero) Tbk. either through partial and simultant. Samples taken by 31 respondents with a saturated sample technique. Instrument of analysis used is validity, reliability test and multiple linear regression analysis with SPSS 17 software. The results of research showed that the condition of intrinsic motivation, extrinsic motivation and job satisfaction top rated by employee Human Resource Department in PT. Semen Gresik (Persero) Tbk. Intrinsic motivation and extrinsic motivation have strong influence on job satisfaction employee Human Resource Department in PT. Semen Gresik (Persero) Tbk. either through partial and simultant
Pengaruh Relationship Marketing terhadap Loyalitas Pelanggan pada Nasabah Bank BTPN KCP Sepanjang
Authors: HERDIAN GINA , WIDYASTUTI WIDYASTUTI
Published: September 2018

Relationship marketing is a process of creating, maintaining and improving the strength of the value-laden relationships with customers and other stakeholders. In relationship marketing strategy there are several variables that can increase customer loyalty to the company. Among them are trust, commitment, communication and conflict resolution. This study aimed to examine the effect of relationship marketing on customer loyalty either partially or simultaneously. The sampling method used accidental sampling. Customer BTPN KCP Sepanjang the population, so the number of samples obtained by 110 customers. Methods of data analysis using multiple linear regression with SPSS software assisted. Results of the analysis in this study shows that there is significant relationship between the variables of trust, commitment, communication and conflict resolution to customer loyalty either partially or simultaneously
Pengaruh Country Of Origin dan Persepsi Kualitas terhadap Persepsi Nilai pada Produk Telepon Seluler
Authors: Utomo Eko Aditia Sri , Sanaji Sanaji
Published: September 2018

AbstractThe this study aimed to examine the effect Country ofOrigin to perceived quality and perceived value. The object is phone customers who visited in World Trade Center (WTC) Surabaya. The sample is 287 respondens. Country of origin has ten indikator s in this research, perceived qualityhas six indikator s in this research, and perceived value has three indikator s. Hypothesis testing is done by path analyze. Research is showed that country of origin effect the perceived quality, perceived quality effect the perceived value, and country of origin do not effect perceived value. This conclution, country of origin indirectly effect the perceived value.
Pengaruh Kinerja Keuangan terhadap Return Saham Perusahaan Property dan Real Estate
Authors: Nurfinda Luvy , Venusita Lintang
Published: September 2018

The indicators that often be used as an analysis tool for measuring financial performance are EPS, ROE, and NPM, that measure performance reflecting the company's ability to generate profits and returns on investment firms. Saturated sample method used in this study using a sample of seventeen companies listed in Indonesia Stock Exchange. Hypothesis testing was performed by using the classical assumption test and linear regression analysis.The results of this study showed that the variable of economic value added, earnings per share, and net profit margin had no significant effect on the stock return of the property companies. Meanwhile, the variable of return on equity had a significant effect on the stock return of the property companies. Simultaneously, the analysis results suggested that the variable of economic value added, earnings per share, return on equity, and net profit margin had an influence to the stock returns of 11.9%, while the remaining of 88.1% can be influenced by other factors.
Pengaruh Berbagi Pengetahuan terhadap Kinerja Karyawan melalui Kerja Tim
Authors: Chalifa Noer , Nugrohoseno Dwiarko
Published: September 2018

PT. Boma Bisma Indra (Persero) Surabaya is a companyengaged in the field of energy conversion industry, industrial machinery, and infrastructure industries. All business activities are based on the formation of work teams are formed according to the needs of the company. The purpose of this study was to analyze the influence of knowledge sharing, kerja tim, employee performance. Teamwork as well as the mediating role of knowledge sharing on the performance. Samples from this study were all employees totaling 84 people. The data analysis technique used is Structural Equation Model of Partial Least Square with the help of software SmartPLS 2.0 M3. The results of the study explains that knowledge sharing significant effect on the performance of employees, knowledge sharing significant effect on teamwork, teamwork significant effect on employee performance. kerja tim does not mediate the effect of knowledge sharing on the performance of employee
Pengaruh Kepribadian terhadap Kerjasama Tim dan Dampaknya terhadap Kinerja Karyawan
Authors: Pratiwi Wahyu Kusuma , Nugrohoseno Dwiarko
Published: September 2018

Human resource management system is the key to success right company to achieve its objectives. It required human resources who are competent for the performance of the resulting increase in accordance with the target company. To improve the performance of the employee, then the company must pay attention to the factors that can affect performance, such as personality and teamwork. This study use a quantitative approach. Type of research is causal research with personality variables and teamwork as the independent variable and performance as the dependent variable. The technique of sampling using a stratified random sampling with a sample of 51 permanent employees Production Department PT Apie Indo Karunia Sidoarjo and using software SMARTPLS 2.0 M3. The results showed there’s positive and significant effect of extraversion, agreeableness, conscientiousness, openness to experience variables on teamwork. There’s positive and significant effect of the variable teamwork on employee performance.
Strategy Map dan Rancangan Balanced Scorecard PT. DPI
Authors: Arifyanto A Fakhri
Published: September 2018

This research aims to compile and designing Strategy Map and Balanced Scorecard on PT. DPI in order to achieve the objective of becoming an international organization or world class company.  According to David P. Norton which had been quoted by Mathews (2007), Balanced Scorecard is precise methodologies to develop measurement which is capable to describe the organization’s strategy.  Development of Strategy Map is the key to design effective Balanced Scorecard. The analysis result stated that the Strategy Map of PT. DPI could be compiled by virtue of the strategic issues in the corporate level, meanwhile for the Balanced Scorecard design consists of four perspectives in which financial perspective to improve the ROI of strategic objective by increasing revenue from existing product and new product.  Customer perspective, with the strategic objective of customer satisfaction, increased market share by retaining existing customers and add new customers.  Internal Business Process Perspective, with a strategic objective of developing superior products, innovative and sophisticated, improved customer relationship management.  Learning and Growth Perspective, with strategic objectives to improve the quality, professionalism of human resources DPI, to develop a conducive climate in DPI (improve DPI climate).
Pengaruh Inovasi Produk dan Selebriti Endorser terhadap Niat Beli Ulang Sepeda Motor Otomatis Honda
Authors: Akbar Rezkianto
Published: September 2018

Honda Automatic motorcycle is best-selling Automatic motorcycle in Indonesia, in September 2014 - February 2015 Honda Automatic motorcycle sales declined notably Honda Vario Series amounted to 24.8%, and at the end of January 2015 Honda launched its newest Honda Automatic motorcycle Vario 150 ESP with various innovations performed, as well as using VJ Daniel Mananta as a celebrity endorser for communicating the latest product. This study are to analyze and discuss the influence of product innovation and celebrity endorser to re-purchase intention of Honda Automatic motorcycle. Based on the results of the t test is known that a product innovation has significant effect, while celebrity endorser has no significant effect on purchase intentions on Honda Automatic motorcycle. The contribution of product innovation and celebrity endorsers to the re-purchase intention of Honda Automatic motorcycle is 21.4%, while the rest influenced by other variables that are not used in this study.
Pengaruh Makroekonomi, Capital Adequacy Ratio, Loan To Deposit Ratio dan Pertumbuhan Kredit terhadap Non Performing Loan pada Bank Asing di Indonesia Periode 2013-2014
Authors: Rosita Maya , Musdholifah Musdholifah
Published: September 2018

The aim of this study was to understand the influence of macroeconomic factors in this research are exchange rate and inflation, while for the internal bank are capital adequacy ratio (CAR), loan to deposit ratio (LDR) and credit growth towards non performing loan (NPL). The data that used is quarterly data from financial statements of Foreign Bank in Indonesia period of 2013 until 2014. Data analysis method used is multiple-regression analysis. The results showed that there was a simultaneous influence of independent variables towards NPL of Foreign Bank in Indonesia. However, partially showed that CAR has a negative influence, the higher capital adequacy ratio, it can serve to accommodate the risk of losses faced by banks due to the increase in non performing loans. LDR has a positif influence, LDR shows expansion of bank loans made to measure current or whether bank intermediary function. LDR which leads to high risk of uncollectible loans to be high which will result in a non performing loans.
Motivasi Kerja, Loyalitas, dan Kualitas Karyawan terhadap Kinerja Karyawan PT. Varia Usaha Gresik
Authors: Alfiyah Sofiyah Eka
Published: September 2018

This study to analyze the influence of work motivation, loyalty, employee quality to the employee performance in PT. Varia Usaha Gresik. The samples from this study are all permanent employees of Varia Usaha Gresik company amount to 96 employees. The sampling technique used is saturated sampling method, data analyze technique used multiple linear regression analysis with the assistance of SPSS 18.0. the study to analyze the influence of work motivation did not have a significant effect to the employee. The loyalty and employee quality significant influence to the employee performance. Work motivation, loyalty, employee quality has simultan and significant influence to employee performance.
MANAJEMEN AUDIT SUMBER DAYA MANUSIA UNTUK MENCAPAI PENINGKATAN KINERJA MANAJEMEN
Authors: Harryono Sumadji
Published: September 2018

The purpose, was to determine and ensure that the programs / activities of HR was effective, economical, and efficient as well as ensuring compliance with various program / activity against the human resources laws, regulations and policies applicable in the company. Methods used include library research by studying books, scientific journals, and literature that is closely related to the subject matter of the thesis as well as field research by interviewing the relevant parts of the company's activities and observations, questionnaires and documents human resources related. Human resource audit is a systematic examination and assessment, objective and documented on the organizational functions that are affected by human resource (HR) management with the aim of ensuring the fulfillment of the principle of appropriateness, effectiveness and efficiency of refineries and human resources to support the achievement of functional goals and objectives of the organization as a whole better for the medium term, and long term objectives of this study is to determine how HR audits role in improving the effectiveness of employees.
Identification of the Aquifer Parameters from Pumping Test Data by Using a Hybrid Optimization Approach
Authors: Ayvaz M. Tamer , Gurarslan Gurhan
Published: September 2018

The main objective of this study is to propose a linked simulation-optimization approach to determine the parameters of the confined and leaky-confined aquifers from the results of the pumping tests. In the simulation part of the proposed approach, the drawdowns at the given monitoring points and times are calculated by considering Theis and Hantush approaches for confined and leaky-confined aquifers, respectively. This simulation part is then integrated with a hybrid optimization approach where global exploration feature of the harmony search (HS) and strong local search capability of the generalized reduced gradient (GRG) approach of the spreadsheet Solver add-in are mutually integrated. The performance of the proposed approach is evaluated by considering two pumping test data for the confined and leaky-confined aquifers. Identified results indicated that the hybrid HS-Solver optimization approach provides better results than those obtained by using both curve matching and stand-alone HS approaches.
Estimation of NRW using Main Parameters of Water Distribution Systems
Authors: Jang Dongwoo , Choi Gyewoon , Choi Jintak , Park Hyoseon
Published: September 2018

The non-revenue water (NRW) is the water losses from unbilled authorized consumption, obvious losses and actual losses among the total amount of water supply (tap water supplied from water purification plants) in the water distribution systems. Various studies analyze data using statistical methods and identify the relationship as a method to estimate the NRW. For estimating the NRW of the water distribution systems, selected main parameters were used to this study. The main parameters were used to ANN model simulation, and compared to observed NRW data to determine the accuracy of NRW estimation. In the results, the method using artificial neural network was found to be more accurate in estimating the NRW than multiple regression analysis. In this study, the effective parameters of the NRW were determined, especially physical and operational parameters have high relationship to the NRW estimation.
Effects of Climate Change on Streamflow in Kon – Ha Thanh River Watershed, Vietnam
Authors: Vo Ngoc Duong , Nguyen Thanh Hao , Vu Huy Cong , Gourbesville Philippe , Nguyen Quang Binh
Published: September 2018

Climate change is a complex problem and becoming the leading challenge for humankind in the 21st century. It will affect almost aspects of human well-being. Therefore, assessing climate change impacts on water resources and proposed solutions to respond to climate change is urgent and necessary. This study applied the SWAT model (Soil and Water Assessment Tool) and GIS (Geographic Information System) technique to simulate water flows due to the impact of climate change. The models were applied for Kon – Ha Thanh river catchment, located in Vietnam where is considered as one of the countries most affected by climate change. The SWAT model is calibrated and validated well using daily flow data with the Nash-Sutcliffe and correlation coefficients are 0.77 and 0.88, respectively. Two scenarios from Vietnamese government (RCP 4.5 and RCP 8.5) are used to analyze the variation of stream flow in three periods: 2016- 2035, 2045-2065, and 2080-2100. The results show that the flow in Kon – Ha Thanh rivers will vary complicatedly and severely under the impact of climate change. This flow may increase roughly 150.8% in flood season and reduce around 11.8% in dry season. Furthermore, the study also demonstrates that there are the changes in the flood dynamics as well as the hydrological shift of this region. This study presents an operational approach to integrate the results from the impacts of climate change to flood protection measures that would be useful in sustainable planning and devising resilience strategies.
Analysis of the Kernel Bandwidth Influence in the Double Smoothing Merging Algorithm to Improve Rainfall Fields in Poorly Gauged Basins
Authors: Duque-Gardeazábal Nicolás , Zamora David , Rodríguez Erasmo
Published: September 2018

Accurate estimates of precipitation are needed for many applications in hydrology as rainfall is one of the most influential variables of the water cycle. The common sources of information used to estimate rainfall fields are in situ rain gauges, remote sensing information and outputs from climate models. However, each of the above- mentioned sources has its own limitations, which can be reduced by blending information from these sources, in a product that takes advantage of the strengths of each dataset. In this research we study the double smoothing merging algorithm, creating a rainfall distributed product that combines remote sensed and reanalysis data, and information from a rain gauge network. The main objective of the study is to investigate the implications of varying the rain gauge density and configuration, on the merging parameters and global performance of the blended product. The results of a daily 3-year period experiment show that, although the errors in cross validation (CV) and against an independent dataset (IV) are in general low, the performance of the blended product and also the sensitivity of the parameters are highly influenced by the rain gauge configuration and density. The bandwidth merging parameters increase as the network density is artificially reduced.
Integrated Model for Water, Food, Energy and Human Development
Authors: Waimbo Korinus Nixon , Savic Dragan , Memon Fayyaz Ali
Published: September 2018

Water, energy and food are basic needs crucial to human survival but also pervade many aspects of human development. Systemically, they are vastly interdependent. A system dynamics model comprises five modules, namely water, food, energy, demographic, and human development, is being constructed. The aim is to evaluate the dynamics behaviour of water, energy and food systems and their linkages to human development at national scale. The model was simulated on annual basis from the year 1990 to 2015. It was then tested against national historical data of Indonesia. Analysis of error using mean-square error, root mean square percent error, and Theil inequality statistics were performed to test model behaviour. Preliminary results show that most of the variables such as total population, income per capita, human development index, and sectoral water demands have root mean square percent error below 10% that indicate the model produces similar behaviour pattern to the actual system. As part of the future work, once the model is fully constructed, it will be applied to assess the impact of a range of policy scenarios and implications on the water, energy and food sectors and on human development in Indonesia.
Optimal Time Step Length to Minimize Uncertainty of Zonal Water Balance Calculation in Drinking Water Distribution Systems
Authors: Bibok Attila , Fülöp Roland
Published: September 2018

Water balance calculation is a well-known and adapted method to analyze district-metered areas (DMAs) of drinking water distribution system. Other application of water balance results can be training dataset for consumption forecast, monitoring and managing water loss. The vast amount of application makes it a very powerful tool, which is in contrary sensitive to the accuracy of the calculation. The uncertainty of flow metering decreases as the length of the time step decreases, however, the uncertainty of stored volume measurement in tanks increases. Investigation of the limitations of water balance calculation in regard to uncertainty is necessary to develop an analytical solution for optimal calculation time step.
Study on Design Specification of Water Allocation Projects’ Information System
Authors: Wen Xuehong
Published: September 2018

In China, recently, quite a few water allocation projects have built its information systems. However, the design criteria of information systems are usually chaotic, and sometimes it is various degrees of over-developed. This paper consider that a design specification of information systems for water allocation projects must be issued soon. Depend on the current situation of information system design, some suggestion was proposed in this paper to discuss how to draft a design specification for water allocation project information system. The design specification will regulate the developing of information systems, save water resources, and finally improve the management level of water allocation projects.
Use of Global Reanalysis Data in the Study of the Aridity Index in the Magdalena-Cauca Macro-Basin, Colombia
Authors: Vega-Viviescas Carolina , Zamora David A. , Rodríguez Erasmo A.
Published: September 2018

The Magdalena-Cauca macro-basin (MCMB) in Colombia, by its tropical location, annually experiences the effects of movement of the Intertropical Convergence Zone, and it is highly affected by interannual macro-climatic phenomena, such as El Niño– Southern Oscillation (ENSO). With the aim of increasing the use of global reanalysis and remote sensing data for supporting water management decisions at the watershed scale and within the framework of the eartH2Observe research project, the aridity index (AI) was calculated with three different data sources. Precipitation products and AI results were compared with their corresponding in-situ national official data. The comparison shows high correlations between the AI derived from observed data and AI obtained from the reanalysis, with Pearson correlation coefficients above 0.8 for two of the products investigated. This shows the importance of using global reanalysis data in water availability studies on a regional scale for the MCMB and the potential of this information in others macrobasins in Colombia including the Orinoquia and Amazon regions, where in-situ data is scarce.
Uncertainty Analysis of a Temperature-Index Snowmelt Model Using Bayesian Networks
Authors: Boutkhamouine Brahim , Roux Hélène , Pérès François , Vervoort Willem
Published: September 2018

Uncertainty analysis of hydrological models often requires a large number of model runs, which can be time consuming and computationally intensive. In order to reduce the number of runs required for uncertainty prediction, we explore in this study the potential of Bayesian Networks (BNs). A BN is created using a simple version of Temperature-Index Snowmelt Model. Next, uncertainty analysis is performed using both the BN method and Monte-Carlo (MC) simulations. The results show that BN method gives similar results to the MC method and can be used for real-time applications.
Improving Water Level Forecast of an Oceanographic Model in Malacca Strait Based on Data-Driven Open Boundary Correction
Authors: Wang Xuan , Tay Serene Hui Xin , Babovic Vladan
Published: September 2018

Numerical model is an indispensable tool for understanding oceanographic phenomena and resolving associated physical processes. However, model error cannot be avoided due to limitations such as underlying assumption, insufficient information of bathymetry or boundary condition and so on. Data assimilation technique thus becomes an effective and essential tool to improve prediction accuracy. Updating of output is an efficient way to correct the model, but it is often carried out locally at specific locations in the model domain where measurement is available. In this study, instead of correcting output of numerical model locally, we propose to combine local correction and input correction to update open boundary of numerical model. The open boundary condition is corrected through spatial interpolation algorithm based on nearby observation in the hindcast period. Then the local forecast at measured location is distributed using the same interpolation scheme to update the boundary in the forecast period. Such boundary correction not only explores the variation in the future time step from the input updating but also allows the backbone physics embedded in numerical model to resolve the hydrodynamics in the entire computational domain.
Assessment on Effects of Preliminary Release Operation of a Multi-purpose Reservoir Considering Ensemble Inflow Prediction
Authors: Nohara Daisuke , Saito Hiroki
Published: September 2018

A Monte Carlo-based method to analyze effectiveness and risks of integrated operation of a multi-purpose reservoir for flood management considering real-time ensemble hydrological predictions is developed in this study. Preliminary release operation, in which water stored in the reservoir is released just in advance of a flood event considering real-time hydrological predictions, is considered as an integrated reservoir operation method. A simulated generation method of ensemble hydrological predictions with a certain error structure is developed in order to generate a number of ensemble hydrological predictions for Monte Carlo simulation. A number of simulations of reservoir operation are conducted with consideration of the generated ensemble hydrological predictions to analyze the effects of preliminary release operation based on ensemble hydrological predictions. The result of the analysis can provide reservoir managers with quantitative and science-based information on expected benefits and risks to introduce operational hydrological predictions into reservoir operation from the long-term viewpoint.
Experimental and Numerical Analysis of the Hydraulic Performance of Filtering Cartridges for Water Treatment
Authors: Viccione Giacomo , Evangelista Stefania
Published: September 2018

Water treatments are progressively increasing their importance nowadays due to the gradual deterioration of water quality as a consequence of the environmental pollution and of industrial processes. Among these treatments, filtration still represents a major solution. In this work some results of a laboratory experimental analysis of the hydraulic performances of commercial cartridges for water treatment with filtration are presented in comparison with the results obtained by numerical simulations of the same physical model performed through the EPANET software. Specifically, the performance of filter cartridges is evaluated in terms of the head losses that they produce in the hydraulic systems in which they are introduced. These losses can be particularly undesirable for low-pressure plants, where they can inhibit the normal operation of the installed apparatus. Head losses also increase significantly with a prolonged use over time, due to the clogging particles retained on the outer surface and inside the cartridge, with a consequent reduction in the filtration capacity which generates the necessity to replace the cartridge itself. The comparison between numerical and experimental results showed a good agreement. The analysis of the data permitted to highlight several features of the filtration process in these commercial cartridges and draw up different remarks for their design and production.
Pre-Conditioning Approach to Bayesian Decision Networks for Water Quality Sensors Positioning in Urban Drainage Systems
Authors: Sambito Mariacrocetta , Di Cristo Cristiana , Freni Gabriele , Leopardi Angelo , Quintiliani Claudia
Published: September 2018

In the last decades, the growth of mini- and micro-industry in urban areas has produced an increase in the frequency of xenobiotic polluting discharges in drainage systems. Such pollutants are usually characterized by low removal efficiencies in urban wastewater treatment plants and they may have an acute or cumulative impact on environment. In order to facilitate early detection and efficient containment of the illicit intrusions, the present work aims to develop a decision-support approach for positioning the water quality sensors. It is mainly based on the use of a decision-making support of the BDN type (Bayesian Decision Network), specifically looking soluble conservative pollutants, such as metals. In the application and result section the methodology is tested on two sewer systems, with increasing complexity: a literature scheme from the SWMM manual and a real combined sewer.
Topographic Analysis of Wetlandscapes: Fractal Dimension and Scaling Properties
Authors: Bertassello Leonardo Enrico , Rao P. Suresh , Botter Gianluca , Aubeneau Antoine
Published: September 2018

Wetlands are ubiquitous topographic depressions on landscapes and form critical

elements of the mosaic of aquatic habitats. The role of wetlands in the global hydrological and biogeochemical cycles is intimately tied to their geometric characteristics. We used DEM analysis and local search algorithms to identify wetland attributes (maximum stage, surface area and storage volume) in four wetlandscapes across the United States. We then derived the exceedance cumulative density functions (cdfs) of these attributes for the identified wetlands, applied the concept of fractal dimension to investigate the variability in wetland’ shapes. Exponentially tempered Pareto distributions were fitted to DEM derived wetland attributes. In particular, the scaling exponents appear to remain constant through the progressive water-filling of the landscapes, suggesting self-similarity of wetland geometrical attributes. This tendency is also reproduced by the fractal dimension (D) of wetland shorelines, which remains constant across different water-filling levels. In addition, the variability in D is constrained within a narrow range (1 <D < 1.33) in all the four wetlandscapes. Finally, the comparison between wetlands identified by the DEM-based model are consistent

with actual data.
High-Resolution LiDAR Bathymetry Data for Alpine Rivers - Case Study on the River Mareit/Mareta, Italy
Authors: Baumgartner Katharina , Klar Robert , Aufleger Markus
Published: September 2018

The many facets of river hydromorphology are of crucial importance to assess the condition of rivers. Generating new knowledge is the key in achieving the water framework objectives. Therefore, detailed bathymetric information is required for each river system to evaluate the constantly changing morphological structures and to understand hydraulic, morphodynamic and ecological processes. The technology of Airborne LiDAR Bathymetry (ALB) scanning is an innovative remote sensing method for measuring the ́underwater topography ́ of water bodies. ALB is perfectly qualified to meet the requirements at an exceptionally high resolution and sufficient accuracy. The data processing of an ALB point cloud consists of a number of specific work steps to determine the point classification (water surface, bathymetry, vegetation, ground, etc.) and to derive high-quality digital terrain models (DTM). This work shows exemplary the results of an ALB survey of the Mareit/Mareta River in South Tyrol, Italy. First, the applied analysis methodology is presented. Second, the question on the optimal bathymetric resolution for hydraulic and habitat modeling purposes is discussed.
Comparison of 1DH and 2DH Mathematical Models for Modelling Wave Hydrodynamics in Ofir Beach
Authors: Vieira Barbara , Pinho José , Vieira Luis
Published: September 2018

Coastal zone protection is a very crucial issue in order to defend populations and infrastructures as well as to environment conservation. Adequate tools must be tested and implemented for supporting engineering solutions to face this challenge. In this study, 1DH and 2DH models were applied to simulate wave hydrodynamics at Ofir beach, NW Portugal. For this purpose, COULWAVE (1DH) and BOUSS-2D (2DH) models were implemented considering both the presence of a detached breakwater and natural conditions aiming the study of the impact of these structures on the significant wave height and the wave energy. A comparison of the performance of the two models was also developed. The methodology adopted in this research work, where a generalised methodology of models applications was used, allows its replication to other coastal stretches being this application dependent on local environmental conditions.
Integrated Water Resources Management in a Complex Reservoir System Through a Multipurpose DSS Tool
Authors: Gómez-Beas Raquel , Contreras-Arribas Eva , Romero Sergio , Lorente Óscar , Linares-Sáez Antonio , Panizo Laura
Published: September 2018

Water resources management requires the integration of many complex physical processes, as well as the interaction of many stakeholders, to ensure the sustainable use of surface and groundwater resources. Water problems to which water authorities have to face are water deficit to supply a wide and increasing demand, floods, water pollution, leaks in water distribution infrastructures, and optimization in the energy use and production. A comprehensive and detailed analysis of the availability of water resources in terms of quantity and quality, and of water demand in their variability in space and time, is indispensable. In this context, SAID (SmArt water management with Integrated Decision support systems) project addresses the development, implementation, validation and integration of the most innovative DSSs as the basis for smart water management systems in complex basins. This paper focuses on the methodology carried out to integrate multipurpose aspects involved in the management of water resources in Guadalhorce River Basin (southern Spain), as a demonstrator area. As a support in the decision making process to dam managers, the resulting integrated DSS allows to execute predictive simulations to anticipate the watershed response, considering two types of scenarios (flood and ordinary), driven by different optimization criteria.
Estimation of Velocity Profile in a Hyper-Concentrated Flow: a Critical Analysis of Bagnold Equation
Authors: Termini Donatella , Fichera Antonio
Published: September 2018

Debris flow velocity is an important factor which influences the impact forces and runup. Due to the complexity of the phenomenon, it is difficult to define predictive methodologies. The present work reports some results of an experimental run conducted in order to investigate the velocity and sediment concentration distributions. A modified Bagnold’s approach to calculate the vertical distribution of flow velocity is presented.
Simulation of Extreme Hydrometeorological Events under Tropical Conditions Using a Distributed Hydrological Model
Authors: Ibarra-Zavaleta Sara Patricia , Poulin Annie , Castañeda-Gonzalez Mariana , Landgrave Rosario , Romero-Lopez Rabindranarth , Ruelas Inzunza Ernesto
Published: September 2018

Change in climatic conditions worldwide has increased the frequency and severity of extreme hydrometeorological events (EHEs). Mexico is an example of this: the country has been affected by the occurrence of EHEs leading to important economic, social, and environmental losses. The objective of this investigation was to apply a Canadian Distributed Hydrological Model (DHM) to tropical conditions, and to evaluate its capacity to simulate flows in a basin in the central Gulf of Mexico. Additionally, we used this calibrated and validated DHM to predict streamflow before the occurence of an EHEs. The results of the DHM show satisfactory goodness-of-fit indicators between the observed and simulated flows in the calibration process (NSE=0.83, RSR=0.41 and BIAS=-4.3), as well as its validation (NSE=0.775, RSR=0.4735 and BIAS=2.45). The DHM showed its applicability to streamflow simulation and confirmed a reliable efficiency in the modeling of thirteen EHEs (NSE=0.78 ± 0.13, RSR=0.46 ± 0.14, and PBIAS=-0.48 ± 7.5). DHM can serve as a tool to identify vulnerabilities before floods and assist in devising more rational and sustainable management of water resources.
A 3D Hydrodynamic Model for Shallow Water Flow Through a Circular Patch of Emergent Cylinders
Authors: Wang Jian , Li Lei , Zhang Jingxin , Liang Dongfang , Yang Qi
Published: September 2018

3D numerical computations are performed to simulate the shallow water flow through an array of non-submerged cylinders occupying a circular area in the middle of the domain. A hydrodynamic model capable of capturing the free surface positions is developed with the SST (shear strain transport) k-ω turbulence closure. The model is first verified and validated against experimental data available in the literature. It is demonstrated that the present model can predict both the average velocity and turbulence structure well. In addition, both cylinder-scale flow as well as patch-scale flow can be well reproduced. The velocity field and distribution of bed stress are then analyzed to study the flow patterns and sediment deposition with different solid volume fractions and water depths.
High Resolution Urban Flood Modelling: A Case Study of Cork City, Ireland
Authors: Nash Stephen , Comer Joanne , Olbert Agnieszka , Hartnett Michael
Published: September 2018

Flooding of coastal areas can be caused by a number of contributing factors: high river flows, high tides, storm surges or a combination thereof. This paper presents results of a numerical modelling investigation of the role of river flow in flooding of Cork City. The Cork City urban flood model was developed by dynamically linking a storm surge model of the northeast Atlantic with the multi-scale nested flood model, MSN_Flood, which uses nesting to telescope down from 90m resolution in Cork Harbour to 2m resolution in the city streets. LiDAR data was used to create the urban flood plain. The model is used to hindcast the 2009 major flood event and is shown to accurately recreate the flood levels and extents. The model is then used to investigate the contributions of river flows to flooding in the city by simulating a range of peak flow scenarios combined with spring and neap tidal conditions. It is shown that flooding is relatively minor for peak flows less than 300 m3/s, while peak flows in excess of 500 m3/s result in extensive flooding of the city centre regardless of tidal condition.
Perception Analysis of Potable Water Service to Users
Authors: Hansen Rodríguez Martha Patricia , Rodríguez Varela José Manuel , Antúnez Leyva Edgar , Casados Prior Jorge Arturo , Gómez Lugo Luis , Martínez Ocampo Gema Alín , Laurel Varela Yenni
Published: September 2018

In Mexico, the regulatory framework does not obligate water utilities to report technical, administrative or financial information, nor are they required to have a management-indicator system to help them evaluate the service that they offer. In 2005 the Mexican Water Technology Institute (IMTA) started a voluntary participation program for tracking water utility management indicators (known as PIGOO for its Spanish initials) which has permitted participants to know what their own performance and evolution is. These results, however, do not represent what users think of the potable- water service so two additional studies were carried out to analyze the quality perception users have of their water-utility company. One permits the rating of the public image of the institution, that is to say, how a user is treated upon showing up in the offices to make a complaint or to file some procedure and another that evaluates the quality perception of the service that water utilities deliver to homes. These results will contribute towards identifying improvement areas in the service to users and the rating they give in turn, can help further the development and self-sustainability of water utilities.
Performance Analysis of the Water Distribution System of the City of Messina Through Sustainability Indices
Authors: Borzì Iolanda , Bonaccorso Brunella , Aronica Giuseppe Tito
Published: September 2018

The main purpose of this study is to assess the performance of the water distribution system (WDS) of the city of Messina (Italy) under different management scenarios that can be operated by the local water utility, AMAM S.p.A. To this end, a methodology is here applied for determining sustainability indices for pressure in WDS. The sustainability indices are based upon performance criteria including reliability, resiliency and vulnerability. In particular, six different scenarios are analyzed and the results are compared in order to identify possible solutions to increase sustainability in WDS.