scholarly journals Multi-scale Calibration and Validation of MHYDAS-Erosion for A Small Mediterranean Vineyard Catchment: A Case Study

2014 ◽  
Vol 27 (1) ◽  
pp. 21-36
Author(s):  
Silvio Jose Gumiere ◽  
Laurence Delattre ◽  
Yves Le Bissonnais ◽  
Bruno Cheviron ◽  
Abir Ben Slimane ◽  
...  
Keyword(s):  
Soil Loss ◽  
Expert Knowledge ◽  
Physical Parameters ◽  
Calibration And Validation ◽  
Multi Scale ◽  
Spatially Distributed ◽  
Scale Calibration ◽  
Parameter Values ◽  
Total Discharge

Abstract In this work we present a case study of the multi-scale calibration and validation of MHYDAS-Erosion applied to a Mediterranean vineyard. The calibration was performed using expert knowledge in linking physical parameters to land uses with the automatic parameter estimation software PEST. MHYDAS-Erosion was calibrated and validated using spatially distributed observations on total discharge and soil loss. Calibration has been performed within six rainfall events; both hydrological and erosion parameters were calibrated using RMSE, R2 and the modified version of the Nash-Sutcliffe model efficiency criteria. Calibration results indicate there was good agreement between simulated and observed total discharge and total soil loss at the seven observation points (modified Nash-Sutcliffe efficiency (mNSE) ranging between 0.89 and 0.95). Acceptable results were obtained in terms of parameter values, identification of their physical meaning and coherence. However, some limitations were also identified, and could be remedied in more detailed studies involving (i) spatially-distributed rainfall on the catchment, (ii) a description of groundwater exfiltration and (iii) spatially-distributed properties of the ditches over the catchment. Validation results were quite satisfactory for three of the four validation events. The results from this case study suggest that MHYDAS-Erosion may need a specific calibration when applied to another catchment, but once it is calibrated, it could be used for multi-scale soil loss forecasting.

Design calculation model of oil fluid property parameter knowledge database for production logging

2020 ◽  
Vol 20 (3) ◽  
pp. 951-958
Author(s):  
Wenguang Song ◽  
Qiongqin Jiang
Keyword(s):  
Crude Oil ◽  
Expert Knowledge ◽  
Calculation Model ◽  
Physical Parameters ◽  
Base System ◽  
Design Calculation ◽  
Calculation Methods ◽  
Fluid Property ◽  
Knowledge Base System ◽  
Parameter Values

The fluid property parameter calculation affects the accuracy of the interpretation the accuracy, in the interpretation of the liquid production profile. Therefore, it is particularly important to accurately calculate the physical property parameter values, in the establishment of the fluid property parameter expert knowledge base system. The main physical parameters include the following calculation methods of the oil. The oil property parameter conversion formula mainly studies the formulas such as bubble point pressure, dissolved gas-oil ratio, crude oil volume coefficient, crude oil density, crude oil viscosity, and crude oil compression coefficient. Design expert knowledge base system, it is based on the calculation methods of these physical parameters. A computational fluid property parameter model is constructed by training production log sample data. Finally, the interactive and friendly product interpretation software model was developed in 9 wells’ data. The design calculation model can increase the accuracy to achieve 95% of oil fluid property parameter. Accurately calculate fluid property parameter values.

Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System

2003 ◽  
Vol 1856 (1) ◽  
pp. 185-192 ◽  
Author(s):  
Byungkyu (Brian) Park ◽  
J. D. Schneeberger
Keyword(s):  
Data Collection ◽  
Simulation Model ◽  
Model Calibration ◽  
Simulation Models ◽  
Test Bed ◽  
Microscopic Simulation ◽  
Calibration And Validation ◽  
Parameter Values ◽  
Model Calibration And Validation

Microscopic simulation models have been widely used in both transportation operations and management analyses because simulation is safer, less expensive, and faster than field implementation and testing. While these simulation models can be advantageous to engineers, the models must be calibrated and validated before they can be used to provide meaningful results. However, the transportation profession has not established any formal or consistent guidelines for the development and application of these models. In practice, simulation model–based analyses have often been conducted under default parameter values or bestguessed values. This is mainly due to either difficulties in field data collection or lack of a readily available procedure for simulation model calibration and validation. A procedure was proposed for microscopic simulation model calibration and validation and an example case study is presented with real-world traffic data from Route 50 on Lee Jackson Highway in Fairfax, Virginia. The proposed procedure consisted of nine steps: ( a) measure of effectiveness selection, ( b) data collection, ( c) calibration parameter identification, ( d) experimental design, ( e) run simulation, ( f) surface function development, ( g) candidate parameter set generations, ( h) evaluation, and ( i) validation through new data collection. The case study indicates that the proposed procedure appears to be properly calibrating and validating the VISSIM simulation model for the test-bed network.

Spatially distributed soil losses and sediment yield: a case study of Langat watershed, Selangor, Malaysia

2021 ◽  
pp. 104742
Author(s):  
Noor Fadzilah Yusof ◽  
Tukimat Lihan ◽  
Wan Mohd Razi Idris ◽  
Zulfahmi Ali Rahman ◽  
Muzneena Ahmad Mustapha ◽  
...  
Keyword(s):  
Sediment Yield ◽  
Spatially Distributed ◽  
Soil Losses

Construction of risk in road safety advertising: a multimodal analysis of Vietnamese child helmet awareness advertisements

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hoang Van Nguyen
Keyword(s):  
Road Safety ◽  
Expert Knowledge ◽  
Multimodal Approach ◽  
Traditional Values ◽  
Multimodal Analysis ◽  
Multimodal Discourse Analysis ◽  
Multimodal Discourse ◽  
Comprehensive Picture ◽  
Media And Communication

AbstractThe discourses of risk serve to organise the ways in which we understand and respond to potential harms and threats, which have become a major concern in our daily life. However, the discourses of risk have not been extensively investigated using linguistic text-based methods on the multimodal level, nor deeply examined beyond Western contexts. Grounded in the literature of risk and multimodal discourse, the aim of the study is to demonstrate Multimodal Discourse Analysis from a Systemic Functional Linguistics perspective as a potential methodology to investigate how risk discourses are constructed in and through semiotic resources in a non-Western setting. Through a case study of child helmet awareness advertisements in Vietnam, the multimodal analysis reveals a comprehensive picture of risk discourses constructed across various semiotic modes. In this analysis, the discourses of risk are constructed through a negotiation of expert knowledge and traditional values to encourage the audience to take actions and provide helmets for their children. Findings of the study demonstrate the use of Systemic Functional multimodal approach to media and communication to provide evidence for risk discourses in the Vietnamese setting, which are at odds with the current literature and can potentially be extended to other contexts.

Evaluation of catchment hydrology and soil loss in non-perennial river system: a case study of Subarnarekha Basin, India

2021 ◽  
Author(s):  
Rituparna Acharyya ◽  
Niloy Pramanick ◽  
Subham Mukherjee ◽  
Subhajit Ghosh ◽  
Abhra Chanda ◽  
...  
Keyword(s):  
Soil Loss ◽  
River System ◽  
Catchment Hydrology ◽  
System A

scholarly journals Improved Process Monitoring Scheme Using Multi-Scale Independent Component Analysis

2021 ◽  
Author(s):  
K Ramakrishna Kini ◽  
Muddu Madakyaru
Keyword(s):  
Fault Detection ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Noisy Environment ◽  
Process Data ◽  
Multi Scale ◽  
Efficient Information ◽  
Non Gaussian

AbstractThe task of fault detection is crucial in modern chemical industries for improved product quality and process safety. In this regard, data-driven fault detection (FD) strategy based on independent component analysis (ICA) has gained attention since it improves monitoring by capturing non-gaussian features in the process data. However, presence of measurement noise in the process data degrades performance of the FD strategy since the noise masks important information. To enhance the monitoring under noisy environment, wavelet-based multi-scale filtering is integrated with the ICA model to yield a novel multi-scale Independent component analysis (MSICA) FD strategy. One of the challenges in multi-scale ICA modeling is to choose the optimum decomposition depth. A novel scheme based on ICA model parameter estimation at each depth is proposed in this paper to achieve this. The effectiveness of the proposed MSICA-based FD strategy is illustrated through three case studies, namely: dynamic multi-variate process, quadruple tank process and distillation column process. In each case study, the performance of the MSICA FD strategy is assessed for different noise levels by comparing it with the conventional FD strategies. The results indicate that the proposed MSICA FD strategy can enhance performance for higher levels of noise in the data since multi-scale wavelet-based filtering is able to de-noise and capture efficient information from noisy process data.

scholarly journals Towards a Framework of Operational-Risk Assessment for a Maritime Autonomous Surface Ship

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3879
Author(s):  
Cunlong Fan ◽  
Jakub Montewka ◽  
Di Zhang
Keyword(s):  
Expert Knowledge ◽  
Safety Evaluation ◽  
Manual Control ◽  
Operational Mode ◽  
Surface Ship ◽  
Open Questions ◽  
Study Results ◽  
Operational Modes ◽  
Mass Case

Global research interest in the domain of maritime autonomous surface ships (MASS) is dramatically increasing. With new prototypes planned to be set to the seas where various operational modes (OMs) are claimed, the issue of the safety evaluation of an MASS, and criteria for selecting the appropriate OM for given conditions remain open questions. This paper proposes a four-step risk-informed framework to assess risk in a scenario for an MASS operating at one of three OMs: manual control (MC), remote control (RC), and autonomous control (AC). To this end, the concept of risk priority numbers (RPNs), adopted from failure mode and effects analysis (FMEA), is utilized. The required parameters to defined RPNs are obtained in the course of analyzing a model MASS accident with expert knowledge. The applicability of the proposed framework is demonstrated via a model MASS case study. Results reveal that, in the same scenario, the risk of MASS varied across the analyzed OMs. On the basis of the aggregated results for each operational mode, suggestions for OM switching are put forward.

Multi-scale flooding hazards evaluation using a nested flood simulation model: Case study of Jamuna River, Bangladesh

2021 ◽  
pp. 1-38
Author(s):  
Masakazu Hashimoto ◽  
Kenji Kawaike ◽  
Tomonori Deguchi ◽  
Shammi Haque ◽  
Arpan Paul ◽  
...  
Keyword(s):  
Simulation Model ◽  
Model Case ◽  
Flood Simulation ◽  
Multi Scale ◽  
Flooding Hazards
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