bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Dukungan Otonomi dan Efikasi Diri terhadap Kepuasan melalui Komitmen Organisasi
Authors: Wijayanti Trisna Kiki , Nugrohoseno Dwiarko
Published: September 2018

Autonomy support that given to employees is supported by the self-efficacy of employees, it will increase the employee job satisfaction and organizational commitment. With a sample of 97 employees at PT. Boma Bisma Indra (Persero) Surabaya, using SEM Smart PLS 2.0 analysis techniques. The result that is a significant effect of autonomy support on organizational commitment and job satisfaction, a significant effect of self efficacy on organizational commitment and job satisfaction, a significant effect of organizational commitment on job satisfaction, no significant effect of autonomy support on job satisfaction mediated by organizational commitment and no significant effect of self efficacy on job satisfaction mediated by organizational commitment.Autonomy support that given to employees is supported by the self-efficacy of employees, it will increase the employee job satisfaction and organizational commitment. With a sample of 97 employees at PT. Boma Bisma Indra (Persero) Surabaya, using SEM Smart PLS 2.0 analysis techniques. The result that is a significant effect of autonomy support on organizational commitment and job satisfaction, a significant effect of self efficacy on organizational commitment and job satisfaction, a significant effect of organizational commitment on job satisfaction, no significant effect of autonomy support on job satisfaction mediated by organizational commitment and no significant effect of self efficacy on job satisfaction mediated by organizational commitment.
Analisis Perbedaan Bid Ask Spread dan Volatilitas Saham Sebelum dan Sesudah Pengumuman Stock Split
Authors: Febrianti Noerita
Published: September 2018

This study aimed to analyze the differences of bid ask spread and stock volatility before and after the announcement of stock split on companies listed in Indonesia Stock Exchange 2010-2013 period. The samples are 30 companies chosen by purposive sampling method. This study used event period 5 days before and 5 days after stock split with descriptive statistical analysis techniques, the normality test (one sample kolmogorov smirnov test), and hypothesis testing (wilcoxon signed ranks test). The results of the descriptive statistics indicate that the bid ask spread after announcement of stock split has decreased while increasing stock volatility than before announcement. However, the results of hypothesis testing with the wilcoxon signed ranks test showed that both the bid ask spreads and stock volatility is not significant difference between before and after announcement of stock split.
Strategi Pemasaran untuk Meningkatkan Omzet Penjualan Air Minum Dalam Kemasan pada CV. Satria Putra Jaya di Tabanan
Authors: Anggreni Putri
Published: September 2018

CV. Satria Putra Jaya is a company plant Drinking Water (bottled water). In conducting its business, the marketing strategy is a process that plays an important role against companies that market goods and services to consumers because every company has an equal chance in producing goods or services, so it can only be competition between companies and competitors in the market to seize, in addition to marketing strategy the role of existing employees also affect the increase in sales volume. Results of the analysis of internal factors is the main force that the company uses its own capital (a score of 0.340). The Company has no burden to return the money to the Bank. While the main weaknesses in internal factors, namely the lack of education and training for employees (score 0.151). Total score of 2,640 IFE matrix shows that the company is currently in a state of being. The result of external factors which are the main opportunities CV. Satria Putra Jaya namely the cooperation join label logo on the packaging for the hotel, restaurant and cafe (score 0.396). While the main threats that arise for the company which is the number of new competitors entering the drinking water industry (score 0.163). Total score of 2,576 EFE matrix shows that the condition of the company is currently in a state of moderate/average. Both results IFE and EFE matrix when inserted into the matrix of IE then conditions the company is currently in a quadrant V, which means the conditions to keep and maintain. Alternative strategies derived from the SWOT matrix, namely, 1) Utilizing a strategic location in order to attract potential customers, 2) Maintaining price and improve product quality, 3) Improve the quality of human resources, 4) Adding a branch and distribution network to increase sales volume, 5) Increases vehicle distribution to increase the coverage and seeking greater market share by penetrating the market
Pengaruh Inovasi Produk dan Harga terhadap Niat Beli Minuman Rasa Buah Mizone Fres’in
Authors: Rahardian Pradipta
Published: September 2018

Isotonic drink Mizone experienced declining sales in 2013 and the firm di product innovation to incrase sales so that on 23 April 2014 Mizone Fres’in launched with a mixture different from the others with extra white tea and Vitamin B and mixed thing unique fruit suitable to accompany daily activities This study aims to analyze and discuss the influence of product innovation and price to purchase intention drink Mizone Fres’in. population this research is visitors primavera futsal Surabaya who aged 18 – 35 years. Sample in this research were 210 respondents used multiple regression technique. Based on the results of T test known that product innovation and price have significant efect to purchase intention drink fruit flavored Mizone Fres’in study in Primavera Futsal Surabaya
Pengaruh Kecerdasan Emosional Terhadap Komitmen Organisasi Melalui Kepuasan Kerja Sebagai Variabel Mediasi pada Bank DKI Kantor Cabang Surabaya
Authors: Auda Riza Mutimma
Published: September 2018

DKI Bank is a commercial bank and Regional Enterprises which is owned by Jakarta Provincial Government and PD Pasar Jaya. DKI Bank now has grown into a commercial bank that has IDR 30.74 trillion assets, with the office network reached 221 offices in Jakarta and other major cities in Indonesia, and 2,549 human resources employee and range of banking products and services to more than one million customers.This rapid development occurs because of their employees who properly implement the organization's commitment to the company for the betterment of the company. Organizational commitment cannot be separated from emotional intelligence employee and satisfaction work which is obtained by employees. This study aims to identify and explain the influence of emotional intelligence toward organizational commitment through job satisfaction as a mediating variable. This is causal research using quantitative approach. The sampling technique using 72 respondents saturated sample and collected as many as 64 respondents in DKI Bank Branch Office Surabaya. The statistical analysis used is Structural Equation Modeling (SEM) with the support of smartPLS software.This study results explains that emotional intelligence has positive and significant effect on job satisfaction. Job satisfaction has positive effect and significant on organizational commitment. Emotional intelligence has positive and significant effect on organizational commitment. Job satisfaction mediates the influence of emotional intelligence on organizational commitment.
Pengaruh Kualitas Layanan terhadap Loyalitas Pelanggan Melalui Kepuasan Pelanggan sebagai Variabel Intervening (Studi pada Pelanggan Dunkin’ Donuts di Surabaya dan Sidoarjo)
Authors: Dewi Kiki Amelia
Published: September 2018

The purpose of this study is to find out is there any influence of service quality on customer loyalty through customer satisfaction as intervening variable on customer Dunkin’ Donuts in Surabaya and Sidoarjo. This research using non-probability sampling with judgemental sampling as sampling category. This research take 220 people as a respondents of the sample object. The respondents of this research is the customer Dunkin 'Donuts men and women aged 18-50 years who have made a purchase and consume directly at the Dunkin' Donuts at least 2 times in the last 3 months. The instruments used is an observation, documentation, interview and questionnaire that analyzed using a Likert scale. Analysis of data using path analysis. The result of this research showed that there is any influence of service quality on customer loyalty through customer satisfaction as intervening variable.
PENGENTASAN KEMISKINAN DAN PENGEMBANGAN MASYARAKAT MELALUI MODEL KEUANGAN ISLAM BMT AL-ISHLAH CIREBON
Authors: Ardiansyah Muhammad Awaluddin
Published: September 2018

Although in fact the conventional financial system has manifestly failed in the fair distribution of wealth, but Islamic financial system in Indonesia is not a strong alternative financial system. Market share of Islamic financial institutions are still low below 5% with growth of 34% in 2015. The data indicates the existence of problems in the implementation of the principles of Islamic finance though in terms of potential prospects. Islamic economic principles which have a charge values of justice, divinity, freedom and responsibility, the right should be a system of democratic economy in the economic empowerment of the poor. Some of the reasons based on the analysis of the field to be the cause of them; The first people are still accustomed to a conventional system that has been around longer, the second Islamic financial institutions are not ready completely adopt the Islamic financial system in particular lost Pofit product sharing (PLS), the third implementation of Islamic financial institutions require relatively high operating costs. On the above problems, the authors analyzed qualitatively descriptive of a theme study "Al-Islah BMT Cirebon as Islamic Financing Model for Poverty Reduction and Development". An analysis of the terms of the Muamalat Islamic law and court analyzes considering the author as a community development agency practitioners who use Islamic financial institutions Baitul Maat wa Tamwil (BMT) in technical operations. This simple paper notes that Islamic financial institutions in Indonesia has not fully practice the principles of Islamic finance because of certain interests. That has existed in Indonesia an Islamic financial institution which according to the principles of Islam in practice the empowerment of people out of poverty.
Outbreak of human leptospirosis linked to contaminated water bodies in Northern Israel, June to August 2018
Authors: Dadon Yuval , Haas Eric J. , Kaliner Ehud , Anis Emilia , Singer Shepherd Roee , Atiya-Nasagi Yafit , Cohen-Dar Michal , Avramovich Eva , King Roni , Sued Oded , Goshen Tamir , Amit Sharon , Miskin Ian , Gino Efrat , Yishai Ruth , Sheffer Rivka , Grotto Itamar , Moran-Gilad Jacob
Published: September 2018

We report preliminary findings of a large outbreak of human leptospirosis with 36 confirmed/probable and 583 suspected cases from June–August 2018, linked to contaminated water bodies in Northern Israel. There was a travel-associated case in Germany; additional cases are being investigated in other countries. The presumed chain of transmission, implicating wild boar and cattle, raises multiple challenges for risk assessment, risk management and risk communication currently being addressed by a public health response team.
Two cases of monkeypox imported to the United Kingdom, September 2018
Authors: Vaughan Aisling , Aarons Emma , Astbury John , Balasegaram Sooria , Beadsworth Mike , Beck Charles R , Chand Meera , O’Connor Catherine , Dunning Jake , Ghebrehewet Sam , Harper Nick , Howlett-Shipley Ruth , Ihekweazu Chikwe , Jacobs Michael , Kaindama Lukeki , Katwa Parisha , Khoo Saye , Lamb Lucy , Mawdsley Sharon , Morgan Dilys , Palmer Ruth , Phin Nick , Russell Katherine , Said Bengü , Simpson Andrew , Vivancos Roberto , Wade Michael , Walsh Amanda , Wilburn Jennifer
Published: September 2018

In early September 2018, two cases of monkeypox were reported in the United Kingdom (UK), diagnosed on 7 September in Cornwall (South West England) and 11 September in Blackpool (North West England). The cases were epidemiologically unconnected and had recently travelled to the UK from Nigeria, where monkeypox is currently circulating. We describe the epidemiology and the public health response for the first diagnosed cases outside the African continent since 2003.
Sediment Flushing from Reservoir and Ecological Impacts
Authors: Pisaturo Giuseppe Roberto , Righetti Maurizio
Published: September 2018

Dams cause a sediment transport trapping phenomenon and the effects can be the reduction of reservoirs operations, the decreasing of the storage, a channel erosion of the downstream watercourse and habitats pauperization. A possible method used to preserve the reservoir volume and the sediment continuity downstream the dam is to operate sediment flushing. In this work, the sediment flushing phenomena and its impact on morphology and ecology is investigated. In particular two possible flushing strategies are proposed. The two strategies differ for the flow rate, sediment concentration and event duration. The results are obtained using an original CFD model developed at the University of Trento. The CFD model has the possibility to simulate the erosion and deposition phenomena and to calculate the severity of the ill effects (SEV parameter) for juvenile and adult Salmonids. The results showed that the two strategies have very different effects on morphology and habitat. The strategy that involve lower flow rate and concentration with higher event duration, seems to minimize the deposition phenomena and the effects on the habitat.
On Migrating to Advanced Model Predictive Control Strategies at the Moselle River
Authors: Simons Franz , Kasper Julia , Amann Kai-Uwe , Arnold Eckhard , Sawodny Oliver , Thorenz Carsten
Published: September 2018

Along the German and Luxembourgian part of the Moselle River, eleven distributed local water level and discharge controllers ensure safe navigation by guaranteeing a water level within a specified tolerance and by reducing variations in the river discharge. The current control scheme is based on gain scheduled PI control with a feed forward disturbance compensation element. Both were parametrized using a 1D Saint- Venant model. Due to advancements in control strategies and processing power, the current scheme will be upgraded by adding a model predictive feed forward component (MPFFC) which improves local control and links the isolated local controllers to coordinate their efforts. The authors want to report on this process from an operator’s point of view and share their insights from the ongoing testing procedure prior to actual service. A prototype implementation was deployed on the target hardware and linked to the data acquisition system to verify real time operation. The logged results are then verified using a simulation model.
Temporal Variation in Water Induced Soil Erosion by RUSLE Model Using Remote Sensing and GIS
Authors: Bhadra Aditi , Lalramnghaki H. , Kiba L. G. , Bandyopadhyay Arnab
Published: September 2018

Soil erosion by various agents is one of the major threats of land degradation throughout the world. Revised Universal Soil Loss Equation model integrated with remote sensing and GIS was employed to assess soil erosion in the Mago basin of Arunachal Pradesh, India for a period of ten years (2004–2013). The rainfall erosivity (R-factor) was calculated using ten years rainfall data. ASTER DEM of 30 m resolution was used to generate the LS-factor map. Soil map and soil samples were analyzed to generate soil erodibility (K) map. MODIS NDVI images were used to obtain C-factor maps. The average annual soil loss was estimated and spatial and temporal variations of annual soil erosion were analyzed. The largest portion of the snow or glacier free area was observed under slight erosion and the rest of the area under moderate to very severe erosion risk zones. The temporal variation in the area under slight soil erosion showed a decreasing trend. Increasing trends were observed over the years in areas under moderate to very severe soil erosion classes. The average soil loss by water for each year crossed permissible soil loss limit of 12 t ha-1 year-1 except for the year 2006.
Shape Optimization of Hydraulic Structures: an Example of an Optimum Design of a Fish Passage
Authors: Prodanovic Pat , Goeury Cedric , Zaoui Fabrice , Ata Riadh , Fontaine Jacques , Tassi Pablo , Audouin Yoann
Published: September 2018

This paper presents a practical methodology developed for shape optimization studies of hydraulic structures using environmental numerical modelling codes. The methodology starts by defining the optimization problem and identifying relevant problem constraints. Design variables in shape optimization studies are configuration of structures (such as length or spacing of groins, orientation and layout of breakwaters, etc.) whose optimal orientation is not known a priori. The optimization problem is solved numerically by coupling an optimization algorithm to a numerical model. The coupled system is able to define, test and evaluate a multitude of new shapes, which are internally generated and then simulated using a numerical model. The developed methodology is tested using an example of an optimum design of a fish passage, where the design variables are the length and the position of slots. In this paper an objective function is defined where a target is specified and the numerical optimizer is asked to retrieve the target solution. Such a definition of the objective function is used to validate the developed tool chain. This work uses the numerical model TELEMAC- 2Dfrom the TELEMAC-MASCARET suite of numerical solvers for the solution of shallow water equations, coupled with various numerical optimization algorithms available in the literature.
Categorisation of Urban Water Consumptions
Authors: Leitão Joaquim , Simões Nuno , Marques José Alfeu , Gil Paulo , Ribeiro Bernardete , Cardoso Alberto
Published: September 2018

Achieving an optimised management of water supply infrastructures is a very important and challenging task, namely in urban environments. The identification and prediction of actual water consumption patterns can be exploited to improve the overall performance of water supply infrastructures. This work considers the application of pattern recognition techniques on water consumption time-series to quantify the time distribution of common consumption behaviours in urban environments. Three groups representing typical consumption patterns have been considered: one characterised by residual consumptions, which occur during the summer months of June and July, while the remaining two consist of significant consumption during the day, with differences taking place during night periods – the first group, more prevalent during warmer months, is represented by higher consumptions during the night, when compared with the second group, more representative of colder months, but showing also some expression all year round. Results also demonstrate that an automatic categorisation of urban water consumptions can be carried out along with the identification of specific time periods in which each pattern occurs.
Flow around Groynes Modelling in Different Numerical Schemes.
Authors: Nguyen Quang Binh , Vo Ngoc Duong , Gourbesville Philippe
Published: September 2018

There is no need for further augment about the performance of numerical model in representing the hydraulic flow regime. Even if the mathematics and computer science have obtained many considerable progresses, there have not been yet uptil now a numerical solution that is considered comprehensively and perfectly the fluid mechanics due to its complication. Therefore, lot of numerical schemes have been developed relied on different approaches: Advection schemes, diffusion schemes, turbulence models. Model appropriate selection is considered as a key factor to sovle successfully a real problem. With the aims of evaluating the impact of different numerical schemes, this study uses TELEMAC 3D model, a product of EDF, to simulate the hydraulic regime in river. Relying on the advection schemes and turbulence models, five scenarios are organized in TELEMAC 3D for representing the hydraulic flow in a segment of the Waal, Netherlands. The modeling result is compared with the research of Mohamed F.M Yossef and Huid J. de Vriend (2011) in aspect of horizontal velocity distribution, vertical velocity distribution, flow stage. The comparison shows that there is a significant uncertainty in using different numerical schemes for flow stage modeling. The paper is expected to provide an insight view about using the computational model for hydraulic research and to be useful for studying the dynamics of flow stage by hydrodynamics simulation.
Remote Sensing, Mobile Applications and Open Data Science Tools for Better Monitoring of Sanitation Systems
Authors: Schoebitz Lars , Woolley Stuart , Sanchez Ferragut Jaime , Weber Alison , Hallowell Jeff , Wong Jeff , Piascik Jeff
Published: September 2018

Safely managed sanitation services, monitored by the United Nations 2030 Agenda for Sustainable Development, require data on treatment of excreta from sanitation systems. This data is not readily available for the majority of United Nations member states and has led to estimates being established mostly for those countries where conventional sewer-based sanitation systems are prevalent. Presented in this article is a decentralized portable treatment unit for the safe treatment of excreta and sludges from non-sewered sanitation systems. Data from daily operations is generated from a variety of sensors, each collecting approximately ten data points per minute. Innovative cloud- based methods and data science tools are implemented to collect, store and analyze data. A software platform was developed that offers real-time reporting and alerts to operators and supervisors, allows for remote operation and control, and provides a multi tier architecture that enables user interaction through a mobile or web interface. Key Performance Indicators and results from long-term analytics are presented to quantify the effectiveness of the treatment process and provide relevant information to improve daily operations.
A Novel Slope Failure Operator for a Non-Equilibrium Sediment Transport Model
Authors: Zhao Jiaheng , Özgen Ilhan , Liang Dongfang , Hinkelmann Reinhard
Published: September 2018

Complex transport mechanism and interaction between fluid and sediment make the mathematical and numerical modeling of sediment transport very challenging. Different types of models can lead to different results. This paper investigates a non-equilibrium sediment transport model based on the total load. In this type of model, it is assumed that a bed slide will occur if the bed slope reaches a critical angle. This is enabled by means of a slope failure operator. Existing slope failure operators usually suffer from the high computational cost and may fail at wet/dry interfaces. The main contribution of this work is the development of a novel slope failure operator for the total load transport model, based on a modified mass balance approach. The proposed approach is verified in three test cases, involving bank failure, dyke overtopping and a two-dimensional bank failure. It is shown that the proposed approach yields good agreement with analytical results and measurement data.
Analysis of Hypothetical Water Distribution Network from the Application of Three Calibration Optimization Algorithms Applying the Genetic Algorithms
Authors: Silva Fernando , Goulart Thaisa Dias , Mambeli Barros Regina
Published: September 2018

The calibration of models applied to water distribution network systems is fundamental, as this improves the computational algorithms constructed from mathematical models. In this work from a hypothetical network, three proposed calibration algorithms were tested, (a) in terms of roughness of the model; (b) in terms of roughness and random demand and (c) in terms of random roughness and pressure directed demand. The results show few differences for the three algorithms tested, the first and third results are almost identical and slightly different from the second. However, these are basis for application in real networks, where surely the more complex algorithms can produce advantages.
On-line Measuring Sensors for Smart Water Network Monitoring
Authors: Di Nardo Armando , Baquero Gonzalez David , Baur Tom , Bernini Romeo , Bodini Sergio , Capasso Sante , Cascetta Furio , Castaldo Francesca , Cocco Michele , Cousin Philippe , D'Acunto Mario , Di Leo Romeo , Della Ventura Bartolomeo , Di Mauro Anna , Di Natale Michele , Di Virgilio Guido , Doveri Marco , El Mansouri Bouabid , Germano Roberto , Giudicianni Carlo , Giunta Nicolas , Greco Roberto , Iovino Pasquale , Katsou Evina , Koenig Ralf , Laspidou Chrysi , Lisbino Vincenzo , Lupi Lisa , Martínez Díaz Eva , Musmarra Dino , Mussons Olivella Montse , Paleari Osvaldo , Raich Jordi , Regan Fiona , Rodriguez-Pinzon Manuel J. , Rodriguez-Varela José Manuel , Sanfilippo Luca , Seelam Jai Sankar , Santonastaso Giovanni Francesco , Savic Dragan , Scozzari Andrea , Soldovieri Francesco , Tuccinardi Francesco Paolo , Tzatchkov Velitchko , Vamvakeridou-Lyroudia Lydia , van Rijn Martin , Velotta Raffaele , Venticinque Salvatore , Wouters Hans
Published: September 2018

Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.
Using a Particle Based Simulation to Visualize Sub-Catchments Contribution to Localized Flooding
Authors: Khoury Mehdi , Savic Dragan , Vamvakeridou-Lyroudia Lydia , Chen Albert , Djordjevic Slobodan
Published: September 2018

Using the Nvidia off-the-shelf particle based “Flex” simulation engine, we visualize the impact of rainfall over different sub-catchments on flooding in the village of Millbrook in the UK. Stakeholders are able to see what part of the catchment contributes most to which flooded area in the village. Hundreds of thousands of colored particles (balls), whose color is based on the quadrant of the catchment area, are dropped above the terrain and left to roll down while interacting with each other. The approach is similar to the ‘rolling ball’ method, which identifies natural flow pathways by rolling a ball down a digital elevation model, but uses multiple balls instead. Although the visualized results of our approach are of limited hydraulic accuracy, this type of visualization explains causality when analyzing the contribution of different portions of the terrain to the flooding from rainfall. This is possible due to colored deposits resembling well the final flood extent. Consequently, it is a useful technique for implementation in Serious Gaming, with flooding related themes, targeting in improving the understanding of stakeholders/players.
Utilization and Validation of Hydraulic Formula to Optimize Pipeline Diameter in Waterworks~Downsizing of Water Facilities to Prepare for Decrease in Water Demand due to Population Decline~
Authors: Shishido Yoshinori , Sato Koichi , Utada Haruka , Nakai Kazunori
Published: September 2018

In order to optimize and downsize pipeline diameter to prepare for water demand decrease in the future, we conducted validation to apply the Hazen-Williams formula to existing pipeline. We focused on the flow velocity coefficient (hereafter referred to as, “C”) and validated it through a pipeline network simulation and field experiments. As a result, the present value for C that is uniformly adopted in Japan should be modified for existing pipeline. Furthermore, variance in C due to the differences between the inner linings of pipeline was verified. We evaluated the effectiveness of downsizing of pipeline diameter with the result of this study, and we confirmed that this study contributes to optimizing and downsizing pipeline diameter.
A Parallel Flood Forecasting and Warning Platform Based on HPC Clusters
Authors: Liu Ronghua , Guo Liang , Wang Yali , Zhang Xiaolei , Liu Qi , Shang Yizi , Zhai Xiaoyan , Tian Jiyang , Huang Dayong
Published: September 2018

As floods could be effectively forecasted by distributed hydrological model, their study and application became the key points of flood forecasting and early warning. Based on high performance computing clusters, a parallel flood forecasting and warning platform with the characteristics of partition, classification, and complicated process coupled was established to forecast and warn flood across China, especially for flash flood in China. In addition, the platform was based on China Flash Flood Hydrological Model (CNFF-HM). It used files (not MPI), which based on a shared hierarchical storage system, to pass message to control the start and stop of simulation processes, and the rapid communication among simulation processes was realized; pre-allocation and dynamic allocation methods was together applied to manage the resource of the high performance computing clusters; the automatic switch among different time scale models was realized by simulation driven strategy based on rainfall events; the reboot framework was designed to deal with the process crash and delayed rainfall data. The effectiveness and stability of the platform has been tested by the flood events of 2017. Finally, a case of Weishui catchment in Hunan Province was shown.
Changes in Precipitation-Runoff Relationship in Six Catchments of the Adriatic Coast of Central Italy
Authors: Memmola Francesco , Darvini Giovanna
Published: September 2018

Besides climate change, human activities may introduce variability in the flow regime. Thus, investigation of the impacts of climate change and human activity on hydrology recently has become an important issue. In this paper hydrological data of six catchments in the coastal area of the Adriatic sea, in central Italy, were used to detect statistically significant trends and change points in annual rainfall and streamflow. Moreover, potential changes in precipitation-runoff relationship have been investigated and finally a quantitative evaluation of the effect of climate variability and human activities on runoff has been assessed separately, with the former individuated as the more influent.
Towards a Web Decision System Support for Planning Micro-Watershed Using Pressure-State-Response and Logic Fuzzy, Study Case in Colombia
Authors: Vargas-Franco Viviana , Restrepo-Tarquino Inés
Published: September 2018

This paper presents a conceptual web decision support systems (DSS) for assessment of a tropical Andean micro-watershed. A combination of pressure-state-response (PSR) indicators and logic fuzzy were used. Three indices were defined: climate change (ICC), quality water (IQW) and soil degradation (ISD). Each index is a combination of qualitative and quantitative indicators. Fuzzy functions were defined to generate operability in each index. Trapezoidal, triangular and singleton functions were defined. The inputs are the indicators value in each zones of the watershed: high zone, medium zone and low zone. Outputs of WebDSS are the value of each index. The Web DSS was applied in an Andean watershed named “El Chocho”, in Colombia. The results indicate the high degradation level in the watershed, evidenced by the indices values. This study indicates the possibility of building and applying a DSS to support management decision process in Andean micro- watersheds.
Clustering Multiple Hydrographs Using Mathematical Optimization
Authors: Matsumoto Kazuhiro , Miyamoto Mamoru
Published: September 2018

A mathematical optimization procedure is presented to group multiple hydrographs into a small number of clusters for the purpose of helping to understand various runoff behaviors observed in flood events in a basin. In grouping, the hydrographs belonging to each cluster can be estimated within the specified accuracy by the corresponding parameter set. The effectiveness is demonstrated using twenty-seven hydrographs observed in nine flood events and at three water level stations in the Abe River basin in Japan. The optimization results illustrate that eight sets of parameters are necessary to estimate such hydrographs within the specified accuracy. One parameter set commonly estimates as many as seven out of twenty-seven hydrographs while some other parameter sets estimate the other hydrographs with different characteristics specific to flood events or water level stations. Most of the previous research is based on continuous optimization; however, a presenting procedure such as clustering is based on combinatorial optimization. Thus, new insight into understanding the runoff behaviors is brought by combinatorial optimization which is not often used in previous research.
Implications of Land Use Change on River Flow in South West England
Authors: Liuzzo Lorena , Freni Gabriele
Published: September 2018

Assessing the impacts of future changes in land use on the hydrological cycle is an important issue for the proper management of water resources, since land use changes have implications on both water quantity and quality. Land use changes, in particular the expansion of urban areas, can significantly affect river flow increasing flood risk, whereas, the development of woodland areas could have positive effects on the reduction of peak flow. The present study has been carried out to assess and quantify the impact of land use changes on the water resources of a river basin located in South West England. With this aim, a hydrological model has been applied to some land use scenarios. In particular, two scenarios have been investigated: the first includes the increase of agricultural areas and the decrease of woodlands, the second includes the increase of urban areas and the decrease of woodlands. Results showed that, in the area of study, river flow would likely to be affected by future land use changes, mainly in the case of urban areas increase.
Locating Unreported Leaks with Modelling Tools and Pressure Monitoring: a Case Study
Authors: Ribeiro Luísa , Sousa Joaquim , Muranho João , Sá Marques Alfeu
Published: September 2018

Water losses are a major concern for water companies, mostly due to their economical, technical, social and environmental negative impacts.

Unreported leaks are a major cause of water losses in water distribution networks (WDNs) and they are difficult to locate, particularly in plastic pipes, large diameters and low pressure conditions. The location of these leaks is very time consuming and requires specialized human resources, using sophisticated and costly acoustic equipment.

The use of modelling and optimization tools, supported by flow and pressure measurements, is showing to be a challenging alternative to the traditional procedure. This paper presents the application of the methodology proposed in Ribeiro L. S., 2012; Ribeiro L. S., 2015; Sousa, 2015 to a real WDN, highlighting the major difficulties faced when dealing with real world conditions, namely gathering and checking data, and building and calibrating the water distribution model.

The results obtained in this case study show that this approach is very promising, encouraging future applications and developments.
Dynamic Scenarios and Water Management Simulations: Towards to an Integrated Spatial Analysis Approach in Water Urban Planning
Authors: Rufino Iana , Alves Priscila , Grangeiro Ester , Santos Karla
Published: September 2018

By combining and integrating different areas of knowledge (Urban Planning, GIS, Remote Sensing, Cellular Automata, Climatology, etc.) with the cities traditional infrastructures using new digital technologies, it is possible to generate more efficient urban systems. Therefore, it can support new forms of water governance. This study aims to reproduce environmental and water management scenarios using Geographic Information Systems (GIS) and cellular automata as a methodological approach for spatial patterns simulations of urban growth (dynamic scenarios). Water consumption simulations plus floods modelling and environmental comfort simulations were integrated into the same SDSS (Spatial Decision Support Systems) environment as a GIS. To support the analysis, Dinamica EGO and Storm Water Management Model were chosen as modelling platforms. The simulations used the future land use trends (dynamic modelling) and legal aspects to evaluate the mitigation of floods with low impact development techniques (LID). Results indicated good runoff reductions with the integration of stormwater and dynamic modelling. This research expects to support interdisciplinary approach for urban planning teams making the water issues and urban planning issues closer and essential for the resilience of present and future cities.
Prediction of CSO Chamber Level Using Evolutionary Artificial Neural Networks
Authors: Rosin Talia , Romano Michele , Woodward Kevin , Keedwell Ed , Kapelan Zoran
Published: September 2018

Combined Sewer Overflows (CSOs) are a major source of pollution, spilling untreated wastewater directly into water bodies and/or the environment. If spills can be predicted in advance then interventions are available for mitigation. This paper presents Evolutionary Artificial Neural Network (EANN) models designed to predict water level in a CSO chamber up to 6 hours ahead using inputs of past CSO level, radar rainfall and rainfall forecast data. An evolutionary strategy algorithm is used to automatically select the optimal ANN input structure and parameters, allowing the ANN models to be constructed specifically for different CSO locations and forecast horizons. The methodology has been tested on a real world case study CSO and the EANN models were found to be superior to ANN models constructed using the trial and error method. This methodology can be easily applied to any CSO in a sewer network without substantial human input. It is envisioned that the EANN models could be beneficially used by water utilities for near real-time modelling of the water level in multiple CSOs and the generation of alerts for upcoming spills events.
Hydraulic Model Calibration of Pressure Reduced Zones with Multiple Input Valves
Authors: Bibok Attila , Fülöp Roland
Published: September 2018

Pressure management is a widely adopted technique to decrease background leakage or to extend the lifespan of the pipe network [1]. In some cases, it is inevitable to deploy multiple pressure reducing valves to supply a particular zone. In order to supply water to the customers with optimal pressure head, the precise setting of the parallel pressure reducing valves’ (PRV) target pressure is required. Steady-state hydraulic models like EPANET has the functionality to simulate pressure loss of a pressure-reducing valve [1]. This can be simulated by adding minor-loss after the pipe, or by modifying the properties of the next link on the downstream side. Either way, the proper setting of the coefficients is essential to calibrate the hydraulic model. In this paper, two non-linear optimization methods were utilized to calibrate the hydraulic model with multiple input values.
Spectral Analysis of Uncertainty in Water Age
Authors: Braun Mathias , Piller Olivier , Deuerlein Jochen , Mortazavi Iraj , Iollo Angelo
Published: September 2018

Water distribution networks are critical infrastructures that should ensure the reliable supply of high quality potable water to its users. Numerical models of these networks are generally governed by many parameters for which the true value is unknown. This may be due to a lack of knowledge like for consumer demand or due to a lack of accessibility as for the pipe roughness. For network managers, the effect of these uncertainties on the network state is important information that supports them in the decision-making process. This effect is generally evaluated by propagating the uncertainties using the mathematical model. In the past, perturbation and stochastic collocation methods have been used for uncertainty propagation. However, these methods are limited either in the accuracy of the results or the complexity of the calculation. This paper uses an alternative spectral approach with the polynomial chaos expansion that has the potential to give comparable results to the Monte Carlo sampling through the definition of a stochastic model. This approach is applied to the model of a water distribution network in order to evaluate the influence of uncertain demands on the water age.
Assessment and Modeling of Snow Melting Impacts in the French Mediterranean Region - Application to the Var catchment, France
Authors: Ma Qiang , Du Mingxuan , Vo Ngoc Duong , Gourbesville Philippe
Published: September 2018

The climate change impacts leads to the raise of air temperature, which highly affected on the snow melting process in catchment hydrological system. In catchment water resources management, it gains more interests among local managers and hydrological researchers. In this study, based on the daily discharge (2008-2014) collected at the outlet of Var catchment, which located at French Mediterranean region, two flood periods were first identified during one hydrological year. For the flood occurred at spring time, the runoff produced by snow melting from upstream of the catchment has significant contribution to the flood discharge recorded at downstream. To assess the snow melting impacts in this catchment, a distributed deterministic hydrological model (MIKE SHE) was built to simulate the complex hydrological system in Var catchment from 2011 to 2013 with limited data collection. After calibrating the model with the observed discharge, the simulation of MIKE SHE were able to represent the hydrological process in Var catchment including the snow producing and melting process. The simulation results showed that the hypothesis made for the snow melting process, which not only considered the impacts of raise air temperature but also the sunshine intensity was reasonable and suitable to be applied in French Mediterranean region. The modelling approach described in this study could be beneficial to the assessment of snow melting process in the same region or similar watershed.
Simulation of Possible Scenarios of Precipitations on River Basin of Water Reservoir with Considerate of Climatic Change.
Authors: Ilinich Vitaly , Asaulyak Irina , Belolubtsev Alexandr , Rashupkina Valentina
Published: September 2018

At the moment, it is generally accepted that global climate warming takes place. This process leads to increased precipitation in many regions, since warm air can contain more moisture and a higher temperature also accelerates the hydrological cycle, which should contribute to the increased precipitation and evaporation. Such hypothesis has to confirm for every region, since there are exceptions. Accordingly, the hypothesis checked in respect to precipitation of Moscow Meteorological station, which has observation during 135 years. It was defined, that precipitation amount of last decades is differed significantly from previous years, therefore, special method of Monte-Carlo was tested for precipitation simulation with discreteness of ten day periods according to data observations for the last 30 years, which represents more really today climatic situation. Such scenarios are needed for modeling of water reservoirs operation. The test results were enough satisfactory.
Flood Routing Efficiency Assessment: an Approach Using Bivariate Copulas
Authors: Balistrocchi Matteo , Ranzi Roberto , Orlandini Stefano , Bacchi Baldassare
Published: September 2018

Flood control reservoirs are widely recognized as effective structural practices in order to mitigate the flood risk in natural watersheds. Nevertheless, the flood frequency distribution in the downstream reach is strongly affected by a certain number of characteristics of the upstream flood hydrographs. When a direct statistical method is utilized, a multivariate approach should therefore be utilized to accurately assess reservoir performances. In this paper, a flood frequency distribution of the routed flow discharge is derived from a bivariate joint distribution function of peak flow discharges and flood volumes of hydrographs entering the reservoir. Such a joint distribution is constructed by using the copula approach. Reservoir performances are also exploited to categorize event severity and to estimate their bivariate return periods. The method is applied to a real-world case study (Sant’Anna reservoir, Panaro River, northern Italy), and its reliability is verified through continuous simulations. Bearing in mind the popularity that design event methods still have in practical engineering, a final evaluation of the performance assessment achievable by simulations of synthetic hydrographs derived from a flood reduction curve is finally proposed.
Uncertainty Analysis of Watershed-Based Flow and Water Quality Modelling with Different DEM Data Sources
Authors: Roostaee Maryam , Deng Zhiqiang
Published: September 2018

DEMs are important data required in watershed-based hydrological and water quality modeling since they are employed to derive critical characteristics of watershed through a watershed delineation process. This study aims to analyze the uncertainties associated with DEM sources in watershed modeling and compare them to DEM resolution-originated uncertainties. Toward this end, six different scenarios, involving 3 DEMs of 30-m resolution and 3 DEMs of 90-m resolution from NED, ASTER and SRTM sources, were developed using HSPF model for an agricultural watershed in Iowa, USA. The HSPF model was run for each scenario to produce simulated flow and loads of sediment, nitrate, and phosphorus. Results suggested that the level of uncertainty involved in the DEM sources was considerably (up to twofold) greater than those originated from decreasing DEM resolution. The finding is important to the proper selection of DEM data source and thereby to the reduction of uncertainties involved in watershed-based hydrological and water quality modelling.