water allocation in irrigation networks by using of decision support system based on the geospatial information system (gis) and particle swarm optimization (pso)
نویسندگان
چکیده
limitation of water resources in the earth has turned it as a valuable economic commodity. accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of gis in order to management of the water resources. the simultaneous use and the combination of these two modern systems will bring into existence integrated management and correct decision in the allocation and distribution of water. in the previous researches the investigators studied water allocation management in its statistical and descriptive field. therefore, in this study by use of decision support system along with the capabilities of gis has been presented a strategy for correct allocate, proper and optimization use from water in agricultural lands on the basis of spatiality. for this purpose, process of the temporal program of cultivation has been optimized primarily in irrigation networks by using of the particle swarm optimization (pso) algorithm. then, descriptive data has been modeled in gis and consequently, the procedures of performing spatial optimization algorithm and water allocation has been provided, automatically. the results of this study, after the optimizing of water allocation on the studied lands, indicates that the amount of water shortage has reduced in the optimal allocation in comparison with the allocation as traditional and non-optimal, considerably.
منابع مشابه
A Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm
Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...
متن کاملA Decision Support System for Diagnosis of Diabetes and Hepatitis, based on the Combination of Particle Swarm Optimization and Firefly Algorithm
Introduction: Clinical Decision Support Systems (CDSS) are designed in the form of computer programs that help medical professionals make decisions about disease diagnosis. The main aim of these systems is to assist physicians in diagnosing diseases, in other words, a physician can interact with the system and use them to analyze patient data, diagnose diseases, and other medical activities. Me...
متن کاملStudy on Water Resources Optimal Allocation of Irrigation District and Irrigation Decision Support System
This paper develops the system of optimal allocation of water resources in irrigation district and irrigation decision support which integrates technologies of decision support, information management, information search and so on. It has the multi-function of water production function calculation, crop water requirement calculation, water resources optimal allocation and realtime amending the ...
متن کاملStock price prediction using the Chaid rule-based algorithm and particle swarm optimization (pso)
Stock prices in each industry are one of the major issues in the stock market. Given the increasing number of shareholders in the stock market and their attention to the price of different stocks in transactions, the prediction of the stock price trend has become significant. Many people use the share price movement process when com-paring different stocks while investing, and also want to pred...
متن کاملCutting Parameters Optimization by Using Particle Swarm Optimization (PSO)
Cutting parameters play an essential role in the economics of machining. In this paper, particle swarm optimization (PSO), a novel optimization algorithm for cutting parameters optimization (CPO), was discussed comprehensively. First, the fundamental principle of PSO was introduced; then, the algorithm for PSO application in cutting parameters optimization was developed; thirdly, cutting experi...
متن کاملGeospatial Network Analysis Using Particle Swarm Optimization
The shortest path (SP) problem concerns with finding the shortest path from a specific origin to a specified destination in a given network while minimizing the total cost associated with the path. This problem has widespread applications. Important applications of the SP problem include vehicle routing in transportation systems particularly in the field of in-vehicle Route Guidance System (RGS...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
اکو هیدرولوژیجلد ۲، شماره ۱، صفحات ۳۹-۴۹
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023