scholarly journals A Fuzzy Inference System for the Conjunctive Use of Surface and Subsurface Water

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Liang-Cheng Chang ◽  
Hone-Jay Chu ◽  
Yi-Wen Chen
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Water System ◽  
Conjunctive Use ◽  
Subsurface Water ◽  
Inference System ◽  
Resources Management

This study develops the water resources management model for conjunctive use of surface and subsurface water using a fuzzy inference system (FIS). The study applies the FIS to allocate the demands of surface and subsurface water. Subsequently, water allocations in the surface water system are simulated by using linear programming techniques, and the responses of subsurface water system with respect to pumping are forecasted by using artificial neural networks. The operating rule for the water systems is that the more abundant water system supplies more water. By using the fuzzy rule, the FIS conjunctive use model easily incorporates expert knowledge and operational polices into water resources management. The result indicates that the FIS model is more effective and efficient when compared with the decoupled conjunctive use and simulation-optimization models. Furthermore, the FIS model is an alternative way to obtain the conjunctive use policies between surface and subsurface water.

scholarly journals Prediction of daily streamflow using artificial neural networks (ANNs), wavelet neural networks (WNNs), and adaptive neuro-fuzzy inference system (ANFIS) models

2020 ◽  
Vol 20 (4) ◽  
pp. 1396-1408
Author(s):  
Hüseyin Yıldırım Dalkiliç ◽  
Said Ali Hashimi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Water Resources ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Hydrological Processes ◽  
Inference System ◽  
Daily Streamflow ◽  
Neuro Fuzzy ◽  
Artificial Neural

Abstract In recent years, the prediction of hydrological processes for the sustainable use of water resources has been a focus of research by scientists in the field of hydrology and water resources. Therefore, in this study, the prediction of daily streamflow using the artificial neural network (ANN), wavelet neural network (WNN) and adaptive neuro-fuzzy inference system (ANFIS) models were taken into account to develop the efficiency and accuracy of the models' performances, compare their results and explain their outcomes for future study or use in hydrological processes. To validate the performance of the models, 70% (1996–2007) of the data were used to train them and 30% (2008–2011) of the data were used to test them. The estimated results of the models were evaluated by the root mean square error (RMSE), determination coefficient (R2), Nash–Sutcliffe (NS), and RMSE-observation standard deviation ratio (RSR) evaluation indexes. Although the outcomes of the models were comparable, the WNN model with RMSE = 0.700, R2 = 0.971, NS = 0.927, and RSR = 0.270 demonstrated the best performance compared to the ANN and ANFIS models.

scholarly journals PERANCANGAN MODEL PENDUKUNG KEPUTUSAN PENGADAAN BARANG DENGAN MENGGUNAKAN FUZZY INFERENCE SYSTEM

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Viera Astry ◽  
Dadang Surjasa ◽  
Dedy Sugiarto
Keyword(s):  
Fuzzy Inference System ◽  
Consumer Satisfaction ◽  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Arima Model ◽  
Forecasting Model ◽  
Demand Forecast ◽  
Validation Process ◽  
Inference System ◽  
Verification Process

<p>Alleriea is a small medium enterprises engaged in the field of providing souvenirs. To increase consumer satisfaction, the company should be able to fullfill consumer demand, The decisions support system in this study is using Fuzzy Inference System with Mamdani type as intuitive and very suitable to be given expert knowledge. This model was designed using MATLAB software and as input will be used to predict the number of requests, the speed of supply and stock condition.<br />The predicted number of demand are made by using forecasting methods by selecting a forecasting model with the smallest MSE value. Based on the comparison of the value of MSE on the ARIMA model and winter, forecasting results obtained by the method of Winter has the smallest MSE value.<br />The verification process is done by looking at the forecasting model with the smallest MSE, the validation process is done to test the normality of residual data. The verification process on fuzzy inference systems is done by testing whether the rules given leave in accordance with the desired output. The validation process using a combination of testing Extreme Test uses a combination of extreme in any condition. The result of this paper is a procurement decision support model using fuzzy inference system which influenced by the demand forecast, stock condition and speed of supply. Designed models have been verified and validated.</p>

scholarly journals Neuro-fuzzy inference system Prediction of stability indices and Sodium absorption ratio in Lordegan rural drinking water resources in west Iran

Data in Brief ◽  
2018 ◽  
Vol 18 ◽  
pp. 255-261 ◽  
Author(s):  
Afshin Takdastan ◽  
Majid Mirzabeygi (Radfard) ◽  
Mahmood Yousefi ◽  
Abbas Abbasnia ◽  
Rouhollah Khodadadia ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Resources ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Sodium Absorption ◽  
Inference System ◽  
Sodium Absorption Ratio ◽  
Drinking Water Resources ◽  
Neuro Fuzzy ◽  
Stability Indices

Water-Urban Harmony Index System: A New Evaluation Model of Urban Water Resources Management

2014 ◽  
Vol 1065-1069 ◽  
pp. 2909-2914 ◽  
Author(s):  
Jin Xin Zhang ◽  
De Shan Tang ◽  
Mei Wang
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Index System ◽  
Water System ◽  
Essential Element ◽  
Three Dimensions ◽  
Shanxi Province ◽  
New Model ◽  
Resources Management ◽  
Xianyang City

Water is the essential element of people's lives, with the rapid growth of population, has become increasingly tense relationship between human and water. In this paper, on the basis of summarizing the existing methods, the application of Chinese traditional harmonious thought, proposes a new model (WUHIS) of assessment of urban human-water relationship, and through the establishment of complete index system to quantify the abstraction of human-water relationship and evaluation. Through three dimensions, the new model from three aspects of the human-water system to conduct a comprehensive evaluation, evaluation of urban river health degree (URHD), evaluation of urban development level (UHDD), and assess human-water coordination degree (HRCD). With relevant data of WUHIS in Xianyang city, Shanxi province, the state of the human-water relationship in Xianyang was assessed from each criterion angle and the result showed that water-urban harmony situation as a whole was on the upswing, but observation of each dimension score respectively, has obvious fluctuation. Through this model, we can clearly know the pros and cons of Xianyang city water resources management, for the Xianyang water resources planning provides a clear direction for the future. This model can be applied in all cities, as long as to modify specific indicators.

scholarly journals A Harmony-Based Approach for Assessing and Regulating Human-Water Relationships: A Case Study of Henan Province in China

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 32
Author(s):  
Qiting Zuo ◽  
Wen Li ◽  
Heng Zhao ◽  
Junxia Ma ◽  
Chunhui Han ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Evaluation Method ◽  
Water System ◽  
Henan Province ◽  
Water Control ◽  
Resources Management ◽  
Harmony Theory ◽  
Water Resources Protection

The conflict of the human-water relationships (HWR) has further increased the water-related risks, such as water environment deterioration, water shortages, and even regional violent conflicts for obtaining usable water resources. Knowing how to evaluate and regulate the discordant HWR to form a balanced growth between sustainable socio-economy and water resources protection has become a critical issue in water resources management. The harmony theory method, which provides a new perspective for solving the conflict between humans and water, has been widely used in current studies. However, this method focuses less on the quantitative study of the balance status of HWR. This study proposes a harmony theory-based HWR evaluation method that contains a systematic process of harmony assessment, indicator identification, harmony balance constraints, and harmony regulation for assessing and regulating the discordant HWR. The Henan Province of China, which has a complicated HWR, was selected as a case study to apply and verify the approach proposed in this study. The results indicated that (1) Henan Province showed a poor harmony status. The human–water harmony degree of 18 distinctions in the province varied from 0.41 to 0.76, showing an increasing trend from 2006 to 2018, indicating that the HWR was gradually improving in recent years. (2) The human–water harmony degree showed that HWR in the southwest part of Henan Province, with less human activities, was better than that in its northeast part, which had faster social development. Sanmenxia City, located in the west part of the province, had the highest human–water harmony degree because of the recent water control projects implemented in the city, indicating that human production measures could effectively help improve HWR. (3) At present, Henan Province has serious discordant indicators in these three aspects (water system health, humanistic system development, and human-water system coordination), which proves that it is still facing pressure from both socio-economy sustainable development and water resources protection. Our results provide insight into water resources management in Henan Province and other similar regions.

scholarly journals Scenario-based strategy development for integrated water management

2013 ◽  
Vol 7 (3) ◽  
pp. 360-368
Keyword(s):  
Water Management ◽  
Water Resources ◽  
Water Resources Management ◽  
Methodological Approach ◽  
Management Strategies ◽  
Water System ◽  
Cost Recovery ◽  
Strategy Development ◽  
Strategy Formulation ◽  
Resources Management

This paper presents a step-by-step methodological approach for the development and evaluation of strategies for water deficient regions. The primary focus of the approach followed was the mitigation of water stress, while applying the principles of Integrated Water Resources Management and the EU Water Framework Directive. The participation of Stakeholders and end-users through consultations was a key point in the methodology followed. Stakeholders and actors were approached and their opinions on Water Management were collected and integrated into a list of measures and instruments suited and available for implementation, forming the basic assumptions governing the strategy formulation process for a region. Comprehensive scenarios were developed and examined for each of the selected options, through a prototype Decision Support System (WSM DSS), in order to obtain an initial ranking with regard to their suitability and performance. Then, the strategy formulation involved the integration of options on a regional basis in a set timeframe, based on their previous estimated performance and technical considerations with regard to their implementation. To achieve the set-out goals and principles two distinct strategies were evaluated and compared, one reflecting the traditional and current practices and policies, and one closely following the principles of Integrated Water Resources Management (IWRM). The developed Strategies were evaluated against each other and against the reference state of the water system, using a set of appropriate indicators for performance, cost, environmental and social impacts. Alternative pricing schemes were also explored in order to achieve a desired level of cost recovery for water services, and determine its effect on Strategy implementation. The developed strategies were re-examined and adjusted on the basis of the cost recovery structures, to account for the effects of price elasticities, and an overall evaluation was obtained enabling a final comparison. The methodology is illustrated through an exemplary application for the island of Paros, Greece. On the basis of the perceptions of different stakeholders, alternative water management strategies were developed and evaluated, and recommendations were made towards the mitigation of impacts caused by the high temporal water imbalance in the island.

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