Water Resources Management
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Published on Mar 1, 2019in Water Resources Management 2.64
Andrea Menapace1
Estimated H-index: 1
,
Diego Avesani3
Estimated H-index: 3
It has been proved that the standard representation of water demand in a Water Distribution Network (WDN) leads to pipe head loss errors as well that the fully satisfied demand regardless water pressure assumption is misleading. This follows that different algorithms have been developed in order to overcome these two drawbacks although separately and independently. Consequently, this paper introduces an alternative formulation of the Global Gradient Algorithm (GGA), referred to as UD-PD, which i...
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Published on Mar 1, 2019in Water Resources Management 2.64
Vijendra Kumar1
Estimated H-index: 1
(Sardar Vallabhbhai National Institute of Technology, Surat),
S. M. Yadav1
Estimated H-index: 1
(Sardar Vallabhbhai National Institute of Technology, Surat)
The Karjan irrigation project of Gujarat in Western India faces an acute shortage of irrigation water during the non-monsoon seasons. Improper water management in the area may result in reduced yields and hence low net incomes to the farmers. Optimal cropping pattern models were developed under different constrained environments using the improved versions of Jaya algorithm (JA) and teaching learning based optimization (TLBO) algorithm by incorporating the elitist concept, namely EJA and ETLBO, ...
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Published on Mar 1, 2019in Water Resources Management 2.64
Zhiqiang Jiang6
Estimated H-index: 6
(Huazhong University of Science and Technology),
Hui Qin5
Estimated H-index: 5
(Huazhong University of Science and Technology)
+ 2 AuthorsJianzhong Zhou35
Estimated H-index: 35
(Huazhong University of Science and Technology)
In the research and application of reservoir operation chart, few studies have paid attention to the time scale problem of operation stage, and there are almost no conclusions about the relationship between power generation and operation stage length. In view of this, the drawing method of Energy Storage Operation Chart (ESOC) and its simulation operation processes are studied in this paper. Cascade hydropower station of Yalong River is taken as research object, and its ESOCs under different tim...
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Published on Jan 1, 2019in Water Resources Management 2.64
Ana C. Cebrián6
Estimated H-index: 6
(University of Zaragoza),
Jesús Abaurrea10
Estimated H-index: 10
(University of Zaragoza),
E. Segarra (University of Zaragoza)
This work proposes a new statistical modelling approach to forecast the hourly river level at a gauging station, under potential flood risk situations and over a medium-term prediction horizon (around three days). For that aim we introduce a new model, the switching regression model with ARMA errors, which takes into account the serial correlation structure of the hourly level series, and the changing time delay between them. A whole modelling approach is developed, including a two-step estimati...
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Published on Jan 1, 2019in Water Resources Management 2.64
Xiaoli Zhang1
Estimated H-index: 1
(North China University of Water Conservancy and Electric Power),
Yong Peng7
Estimated H-index: 7
(Dalian University of Technology)
+ 1 AuthorsBende Wang2
Estimated H-index: 2
(Dalian University of Technology)
To make full use of inflow forecasts with different lead times, a new reservoir operation model that considers the long-, medium- and short-term inflow forecasts (LMS-BSDP) for the real-time operation of hydropower stations is presented in this paper. First, a hybrid model, including a multiple linear regression model and the Xinanjiang model, is developed to obtain the 10-day inflow forecasts, and ANN models with the circulation indexes as inputs are developed to obtain the seasonal inflow fore...
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Published on Mar 1, 2019in Water Resources Management 2.64
Ke-Wu Han (Xinjiang Agricultural University), Ke-Bin Shi (Xinjiang Agricultural University)+ 1 AuthorsYang-Yu Cheng (Xinjiang Agricultural University)
Plain reservoirs in arid areas typically have long dams, large water areas and shallow water depths. Considerable evaporation loss occurs from these reservoirs. To suppress evaporation, this work adopts counterweighted HDPE spheres with diameters of 100 mm as plain reservoir anti-evaporation materials. The main purpose of this work is to study the factors that influence evaporative loss from a water surface covered by spheres and the annual water savings efficiency of the spheres. In this work, ...
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Published on Feb 1, 2019in Water Resources Management 2.64
Muhammad Shoaib6
Estimated H-index: 6
(University of Auckland),
Asaad Y. Shamseldin25
Estimated H-index: 25
(University of Auckland)
+ 5 AuthorsIrfan Ali1
Estimated H-index: 1
(Pakistan Agricultural Research Council)
The use of wavelet-coupled data-driven models is increasing in the field of hydrological modelling. However, wavelet-coupled artificial neural network (ANN) models inherit the disadvantages of containing more complex structure and enhanced simulation time as a result of use of increased multiple input sub-series obtained by the wavelet transformation (WT). So, the identification of dominant wavelet sub-series containing significant information regarding the hydrological system and subsequent use...
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Published on Mar 7, 2019in Water Resources Management 2.64
Mohammad S. Khorshidi1
Estimated H-index: 1
(Shiraz University),
Mohammad Reza Nikoo16
Estimated H-index: 16
(Shiraz University)
+ 1 AuthorsBanafsheh Nematollahi (Shiraz University)
In this paper, by using the concept of Conditional Value at Risk (CVaR), a Leader-Follower game (LFG) based multi-objective optimization model is developed to determine the optimum 12-month operation policy of a reservoir in potential future dry periods. The minimization of CVaRs of storage loss and agricultural and environmental deficits along with maximization of planned allocation to agricultural sector are considered as leader’s objectives, while the followers try to maximize their share of ...
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Published on Jan 1, 2019in Water Resources Management 2.64
Mohammad Ebrahim Banihabib9
Estimated H-index: 9
(University of Tehran),
Reihaneh Bandari (University of Tehran), R. C. Peralta19
Estimated H-index: 19
(Utah State University)
Accurate reservoir-inflow forecasting is especially important for optimizing operation of multi-propose reservoirs that provide hydropower generation, flood control, and water for domestic use and irrigation. There are no previous reports of successful daily flow prediction using a 1-year lead-time. This paper reports successful daily stream flow predictions for that extended lead-time. It presents the first NARX (Nonlinear Auto Regressive model with eXogenous inputs)-type recurrent neural netwo...
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Published on Feb 1, 2019in Water Resources Management 2.64
Sina Sadeghfam4
Estimated H-index: 4
(University of Maragheh),
Yousef Hassanzadeh8
Estimated H-index: 8
(University of Tabriz)
+ 2 AuthorsMarjan Moazamnia1
Estimated H-index: 1
(University of Tabriz)
Optimum Control by Artificial Intelligence (OCAI) is presented in this paper as a dynamic decision making algorithm for optimising pumpage schedule to remediate a contaminated aquifer using the Pump, Treat and Inject (PTI) method. OCAI integrates three modules to control contaminants, to reduce runtime and to meet water quality constraints and discharge capacity at the wells. There is no bespoke capability for the strategy presented by the paper, which formulates: (i) Module 1 comprises models o...
1 Citations Source Cite
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