Mujumdar and Ramesh  set up a momentary continuous store task model for water system of various yields. Two noteworthy highlights of models are its capacity to consider association of harvest water assignments inside timeframes and its capacity to convey a versatile discharge arrangement. Applying this model joining of supply activity with on-ranch usage of water by different yields is accomplished. In the investigation, a working strategy model is utilized for advancement of store discharges in a year and a portion model is utilized for enhancement of water system allotments crosswise over harvests.
Study territory utilized for this model is a current Malaprabha water system repository in Karnataka, India. The execution of continuous task model is analyzed against the unfaltering state model. In this examination, impediments of continuous task model are given. This transient continuous task model demonstrated that for short working territory, the ongoing versatile approach gives better outcomes if there should arise an occurrence of basic low stream years.
Nagesh Kumar and Raju  have proposed ideal store activity model by utilizing Multi Objective Fuzzy Linear Programming (MOFLP).
This MOFLP has been connected to a contextual analysis of Hirakud store on the Mahanadi waterway situated in Orissa state, India. Destinations taken for study are augmentation of discharges for water system and amplification of hydropower creation with various limitations, for example, turbine discharge requirements, water system request imperatives, supply stockpiling limit requirements. For fuzzifying the target capacities straight enrollment capacities have utilized. Just destinations have taken for fuzzifying and every single other parameter, requirements of model are taken as fresh in nature. MOFLP is for the most part utilized for getting ideal arrangements however advancing the fuzzified goals and dimension of fulfillment. Distinctive ideal arrangements are resolved for various estimations of inflows utilizing MOFLP. Likewise, for various estimations of dimension of fulfillment the MOFLP is raced to give exchange ideal strategies. The investigation can be reached out by building up another model or half and half model with alterations in targets just as imperatives.
Nikam and Regulwar  have planned a Linear Programming (LP) for conjunctive utilization of ground water and surface water to decide ideal working strategy. The target of the examination is amplification of net advantages from chosen think about region. Different target capacities and limitations are fused in the model. The model has executed to contextual analysis of Jayakwadi store organize I, situated on Godavari River, Maharashtra, India. At first, model has understood by considering surface water just and after that model has tackled by considering surface water and ground water both. Additionally, model gives channel savvy ideal discharges to water system and power, employments of groundwater.
Raju and Nagesh Kumar  have built up fluffy direct programming (FLP), model for getting ready for water system this model has been connected to a contextual analysis of Shriram Sagar Project, Andhra Pradesh, India for water system arranging writer chose three clashing destinations of viz made net advantages, crop creation and work for an exact choosing bargain plan of water system. Information utilized for various trustworthiness dimensions of inflows is of twenty-three years of inflow information. Vulnerability in the inflow is likewise thought about with the assistance of stochastic programming. It has been reasoned that the FLP model is a simple and appropriate instrument for issues having multi goals. Likewise, the trade off arrangement is assessed by the level of truth. The proposed model can be stretched out further to the numerous quantities of target by considering the extra requirement for every target work likewise work can be reached out to comparable sort of circumstances.
Raju and Nagesh Kumar  have proposed the direct programming (LP) model for water system arranging and connected to contextual analysis of the Shriram Sagar Project, Andhra Pradesh, India with the single goal of augmentation of net advantages. This model has been exposed to numerous limitations, for example, coherence condition, water quality, land and water necessities, stockpiling confinements. The examination utilizes a Genetic Algorithm for water system arranging.
Raju and Nagesh Kumar  have offered procedure to rank Global Circulation Models (GCMs) by assessing execution of most extreme temperature and least temperature for India. The examination decides the connection of trade off programming and collective choice making approach for atmosphere considers.
Regulwar and Anand Raj  have suggested a multi activity and multi target model by the utilization of Genetic Algorithm under Fuzzy condition. The model created is Monthly Multi Objective Genetic Algorithm Fuzzy Optimization (MOGAFUOPT) in ‘C’ language. This model has been connected to the multi store framework in the Godavari waterway sub bowl in Maharashtra, India. Five unique stores viz., Jayakwadi Stage – I-Reservoir, Jayakwadi Stage-II-Reservoir, Yeldari Reservoir, Siddheshwar Reservoir, Vishnupuri Reservoir having distinctive purposes and on various streams is spent for study. Goals embraced to ponder are augmentation of water system discharges and expansion of hydropower generation. In like manner, distinctive limitations are utilized, for example, turbine discharge requirements, water system discharge imperatives, repository stockpiling limitations. The destinations are right off the bat fuzzified utilizing presumptions as a direct participation capacity and after that augmented by characterizing dimension of satisfaction(?). The ideal task strategy is introduced for the current interest in the investigation territory and it is contrasted and a current activity approach for Jayakwadi organize I-repository. The proposed MOGAFUOPT model can be utilized to various waterway bowls with little alterations or same model having same physical highlights of that region and changes in the limitations of the bowl. This model has significant jobs in a few applications to multi-objective, multi repository framework.
Regulwar and Gurav  have created Multi Objective Fuzzy Linear Programming (MOFLP) model for inferring ideal trimming example of study zone of Jayakwadi venture which is situated on Godavari waterway sub-bowl in Maharashtra, India. Four clashing goals and numerous limitations have thought about just as various instances of fluffiness in parameters have considered. Progressively practical and appropriate case which includes fluffiness has been proposed to leader for true issue.
Regulwar and Gurav  have created Multi-Objective Fuzzy Linear Programming (MOFLP) model for water system arranging which has been connected to the contextual analysis of Jayakwadi venture situated in Godavari waterway sub bowl, Maharashtra. The creators have utilized this model for acquiring the arrangement of the issue of ideal editing example and fluffiness of all parameters are contemplated. Four distinctive clashing goals with different limitations are considered in this investigation and furthermore four unique cases are likewise used to cover the vulnerability in MOFLP model. The creator reasoned that the consequences of case IV are all the more genuine as it contains vulnerability in specialized Coefficient And stipulations at the same time. The use of this model can be stretched out further to the Godavari stream bowl additionally with certain adjustments in waterway attributes.
As of late, consideration has been given for harvest arranging and water assets the executives caused because of changes happening in the atmosphere which influence water system arranging. Safavi and Alijanian  have proposed ideal yield arranging and conjunctive utilization of surface water and groundwater for the contextual investigation of Najafabad plain, a piece of the Zayandehrood waterway bowl in west-focal Iran. Recreation improvement model has likewise produced for ideal cop arranging and conjunctive utilization of surface water and ground water. In this investigation, three kinds of relapse have utilized by fluffy direct relapse to appraise reenactment model which is created by modflow-2000. Goal of enhancement model is to limit the deficiency in water system requests by conjunctive utilization of surface water and groundwater exposed to different requirements. For including master advices just as the encounters of DM and rancher Fuzzy Interference System has included to get an ideal harvest arranging and ideal water request. The examination demonstrates that the proposed model can be effectively utilized for assurance of ideal water assets. Additionally, the model can be connected in bone-dry, semi-parched districts.