Developing a semi-distributed decision support system for great Karun water resources system

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 353

فایل این مقاله در 9 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_ARWW-6-1_003

تاریخ نمایه سازی: 24 شهریور 1398

چکیده مقاله:

In this study, water resources system of Great Karun watershed is modelled as a semi-distributed system considering the diversity of demand sites downstream of Olya Gotvand and Dez reservoirs in southwest of Iran. The main aim of the present study is to develop a basin s decision-support system to assist decision-makers in examining the impacts of different operating policies prior to their implementation. According to the basic characteristics of the system, a decision-support system is developed applying water evaluation and planning system (WEAP) model. Calibration of the developed model is important based on the Demand sites diversity and the spatial scale of the modelled basin. To calibrate the simulation model, a Harmony Search (HS) Optimization Algorithm is applied in an innovative framework. The comparison of the achieved results with the observed data indicates the accuracy of the calibrated model. It is also clear that, regardless of the quality parameters of the flow, all urban, industrial, agricultural and aquaculture demands at the basin level have been satisfactorily fulfilled in the study period. Of course, it should be noted that by taking into account the qualitative criteria, the obtained results will obviously change.

نویسندگان

Seyed Mohammad Ashrafi

Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

Maral Mahmoudi

Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Abadi L.S.K., Shamsai A., Goharnejad H., An analysis of the ...
  • Abed-Elmdoust A., and Kerachian R., Evaluating the relative power of ...
  • Abrishamchi A., and Tajrishi M., Interbasin water transfer in Iran. ...
  • Adib A., Mirsalari S.B., Ashrafi S.M., Prediction of meteorological and ...
  • Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., ...
  • Afkhami M., Shariat M., Jaafarzadeh N., Ghadiri H., Nabizadeh R., ...
  • Afzali R., Mousavi S.J., Ghaheri A., Reliability-based simulation-optimization model for ...
  • Ahmadi Najl A., Haghighi A., Mohammad Vali Samani H., Simultaneous ...
  • Ashrafi S.M., Ashrafi S.F., Moazami S., Developing self-adaptive melody search ...
  • Ashrafi S.M., and Dariane A.B., A novel and effective algorithm ...
  • Ashrafi S.M., and Dariane A.B., Performance Evaluation of an Improved ...
  • Ashrafi S.M., and Dariane A.B., Coupled operating rules for optimal ...
  • Ashrafi S.M., and Kourabbaslou N.E., An Efficient Adaptive Strategy for ...
  • Assani A.A., Landry R., Daigle J., Chalifour A., Reservoirs effects ...
  • Bastiaanssen W.G.M., Noordman E.J.M., Pelgrum H., Davids G., Thoreson B.P., ...
  • Dehghani M., Saghafian B., Nasiri Saleh F., Farokhnia A., Noori ...
  • Dodder R.S., A review of water use in the US ...
  • Emamgholizadeh S., Kashi H., Marofpoor I., Zalaghi E., Prediction of ...
  • Geem Z.W., and Sim K.B., Parameter-setting-free harmony search algorithm, Applied ...
  • Giupponi C., Decision support systems for implementing the Europe a ...
  • Hosseini-Zare N., Gholami A., Panahpour E., Jafarnejadi A., Pollution load ...
  • Hund S.V., Allen D.M., Morillas L., Johnson M.S., Groundwater recharge ...
  • Kaddoura S., El Khatib S., Review of water-energy-food Nexus tools ...
  • Keshavarzi B., Mokhtarzadeh Z., Moore F., Mehr M.R., Lahijanzadeh A., ...
  • Kim T., Heo J.H., Application of multi-objective genetic algorithms to ...
  • Labadie J.W., Optimal operation of multireservoir systems: state-of-the-art review, Journal ...
  • Madani K., Read L., Shalikarian L., Voting under uncertainty: a ...
  • Moazami S., Abdollahipour A., Zakeri Niri M., Ashrafi S.M., Hydrological ...
  • Mysiak J., Giupponi C., Rosato P., Towards the development of ...
  • Nahvi A., Daghighi A., Nazif S., The environmental impact assessment ...
  • Nikouei A., Zibaei M., Ward F.A., Incentives to adopt irrigation ...
  • Parkinson S.C., Makowski M., Krey V., Sedraoui K., Almasoud A.H., ...
  • Safavi H.R., Golmohammadi M.H., Sandoval-Solis S., Expert knowledge based modeling ...
  • Semiromi F.B., and Hassani A.H., Torabian A., Karbassi A.R., Lotfi ...
  • Sieber J., and Purkey D., Water evaluation and planning system, ...
  • Sulis A., GRID computing approach for multireservoir operating rules with ...
  • Sun L., Pan B., Gu A., Lu H., Wang W., ...
  • Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Licensing, https://www.weap21.org/index.asp ...
  • Stockholm Environment Institute, Water Evaluation and Planning, WEAP, Why WEAP ...
  • Toosi S.R., and Samani J.M.V., A new integrated MADM technique ...
  • نمایش کامل مراجع