Optimization and risk analyses for rule curves of reservoir operation: application to Tien-Hua-Hu Reservoir in Taiwan

2006 ◽  
Vol 53 (10) ◽  
pp. 317-325 ◽  
Author(s):  
J.-T. Kuo ◽  
N.-S. Hsu ◽  
S.-K. Chiu
Keyword(s):  
Simulation Model ◽  
Reservoir Operation ◽  
Water Shortage ◽  
High Tech ◽  
Domestic Water ◽  
Optimal Rule ◽  
Rule Curves ◽  
Water Demands ◽  
Industrial Parks ◽  
Central Taiwan

Tien-Hua-Hu Reservoir is currently under planning by the Water Resources Agency, Taiwan to meet the increasing water demands of central Taiwan arising from rapid growth of domestic water supply, and high-tech industrial parks. This study develops a simulation model for the ten-day period reservoir operation to calculate the ten-day water shortage index under varying rule curves. A genetic algorithm is coupled to the simulation model to find the optimal rule curves using the minimum ten-day water shortage index as an objective function. This study generates many sets of synthetic streamflows for risk, reliability, resiliency, and vulnerability analyses of reservoir operation. ARMA and disaggregation models are developed and applied to the synthetic streamflow generation. The optimal rule curves obtained from this study perform better in the ten-day shortage index when compared to the originally designed rule curves from a previous study. The optimal rule curves are also superior to the originally designed rule curves in terms of vulnerability. However, in terms of reliability and resiliency, the optimal rule curves are inferior to the those originally designed. Results from this study have provided in general a set of improved rule curves for operation of the Tien-Hua-Hu Reservoir. Furthermore, results from reliability, resiliency and vulnerability analyses offer much useful information for decision making in reservoir operation.

scholarly journals Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Anongrit Kangrang ◽  
Haris Prasanchum ◽  
Rattana Hormwichian
Keyword(s):  
Tabu Search ◽  
Simulation Model ◽  
Reservoir Operation ◽  
Climate Model ◽  
Search Algorithm ◽  
Environmental Conservation ◽  
Climate Data ◽  
Optimal Rule ◽  
Rule Curves ◽  
Ipcc Sres

Optimal rule curves are necessary guidelines in the reservoir operation that have been used to assess performance of any reservoir to satisfy water supply, irrigation, industrial, hydropower, and environmental conservation requirements. This study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. The future and synthetic inflow data of reservoirs were used to simulate reservoir system for evaluating water situation. The situations of water shortage and excess water were shown in terms of frequency magnitude and duration. The results have shown that the optimal rule curves from CGA and CTSA connected with the simulation model can mitigate drought and flood situations than the existing rule curves. The optimal future rule curves were more suitable for future situations than the other rule curves.

A New Functional Approach for Searching Optimal Reservoir Rule Curves

2014 ◽  
Vol 915-916 ◽  
pp. 1452-1455 ◽  
Author(s):  
Yi Fan Ding ◽  
De Shan Tang ◽  
Zhen Zhu Meng
Keyword(s):  
Reservoir Operation ◽  
Optimization Technique ◽  
Water Shortage ◽  
Functional Approach ◽  
New Approach ◽  
Term Operation ◽  
Optimal Rule ◽  
Rule Curves ◽  
Reservoir Rule Curves

Rule curves are guidelines for long term reservoir operation. An efficient optimization technique is required to find the optimal rule curves that can mitigate water shortage in long-term operation. A new functional approach was proposed to search the optimal rule curves of reservoir. The results indicated that the situations of water shortage and excess release water of using the new approach are smaller than the situations of using the existing rule curves.

Dynamic programming with the principle of progressive optimality for searching rule curves

2007 ◽  
Vol 34 (2) ◽  
pp. 170-176 ◽  
Author(s):  
C Chaleeraktrakoon ◽  
A Kangrang
Keyword(s):  
Dynamic Programming ◽  
Reservoir Operation ◽  
Water Shortage ◽  
Continuous Type ◽  
Rule Curves ◽  
Multi Stage ◽  
Long Run ◽  
Reservoir Systems ◽  
Feasible Solutions ◽  
Illustrative Application

Rule curves are monthly reservoir-operation guidelines for meeting the minimum of water shortage over the long run. This paper proposes a dynamic programming (DP) approach for finding the optimal rule curves of single- and multi-reservoir systems. The proposed DP approach uses a traditional DP technique conditionally and applies the principle of progressive optimality (PPO) to search its optimal solutions. The proposed DP–PPO approach is suitable because of the multi-stage, nonlinear, and continuous-type characteristics of the rule curve search. Its dimensionality is relatively small, as compared with that of the traditional one. Results of an illustrative application to a multi-reservoir system under two different initial feasible solutions (i.e., new or existing reservoirs) have demonstrated that the DP–PPO approach is generally fast and robust. Its convergence varies only slightly, according to the initial conditions.Key words: rule curves, principle of progressive optimality, dynamic programming (DP), monthly reservoir operation.

scholarly journals Disinfection by-products in desalinated and blend water: formation and control strategy

2018 ◽  
Vol 17 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Shakhawat Chowdhury
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Cancer Risks ◽  
Domestic Water ◽  
Desalinated Water ◽  
Water Demands ◽  
Product Water ◽  
And Control ◽  
Different Sources ◽  
By Products

Abstract Desalinated seawater is the major source of drinking water in many countries. During desalination, several activities including pretreatment, desalination, stabilization, mixing, storage and distribution are performed. Few disinfectants are used during these activities to control the biofouling agents and microbiological regrowth. The reactions between the disinfectants and natural organic matter (NOM), bromide and iodide form disinfection by-products (DBPs) in product water. The product water is stabilized and mixed with treated freshwater (e.g., groundwater) to meet the domestic water demands. The DBPs in desalinated and blend water are an issue due to their possible cancer and non-cancer risks to humans. In this paper, formation and distribution of DBPs in different steps of desalination and water distribution systems prior to reaching the consumer tap were reviewed. The variability of DBPs among different sources and desalination processes was explained. The toxicities of DBPs were compared and the strategies to control DBPs in desalinated water were proposed. Several research directions were identified to achieve comprehensive control on DBPs in desalinated water, which are likely to protect humans from the adverse consequences of DBPs.

scholarly journals Characterization of Ambient Particulate Matters in an Industry-Intensive Area in Central Taiwan

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 926
Author(s):  
Hsing-Wang Li ◽  
Kang-Shin Chen ◽  
Chia-Hsiang Lai ◽  
Ting-Yu Chen ◽  
Yi-Ching Lin ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Water Soluble ◽  
High Tech ◽  
Particulate Matters ◽  
Metallic Elements ◽  
Soluble Ions ◽  
Water Soluble Ions ◽  
Central Taiwan

Atmospheric particulate matters (PMs) were measured in an industry-intensive region in central Taiwan in order to investigate the characteristics and possible sources of PMs. The samplings were simultaneously conducted using a 10- and 3-stage Micro Orifice Uniform Deposit Impactor (MOUDI) from 2017 to 2018. In this study, the characteristics of PMs in this region were evaluated by measuring the mass concentration of PMs and analyzing water-soluble ions and metallic elements, as well as dioxins. Additionally, principal component analysis (PCA) was used to identify the potential sources of PMs. The results showed that the mean concentration of coarse (>1.8 μm), fine (0.1–1.8 μm), and ultrafine (<0.1 μm) particles were 13.60, 14.38, and 3.44 μg/m3, respectively. In the industry-intensive region, the size distribution of ambient particles showed a bi-modal distribution with a high concentration of coarse particles in the spring and summer, while fine particles were dominant in the autumn and winter. The most abundant water-soluble ions of PMs were NO3−, Cl−, and SO42−, while the majority of metallic elements were Na, Fe, Ca, Al, and Mg in different particle sizes. The results of Pearson’s correlation analysis for metals indicated that the particles in the collected air samples were related to the iron and steelmaking industries, coal burning, vehicle exhausts, and high-tech industries. The dioxin concentration ranged from 0.0006 to 0.0017 pg I-TEQ/Nm3. Principal component analysis (PCA) revealed that the contribution to PMs was associated with sea salt, secondary pollutants, and industrial process.

scholarly journals Assessing the Uncertainty of Hydropower-Environmental Conflict-Resolution Management under Climate Change

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2114
Author(s):  
Yuni Xu ◽  
Yu Hui
Keyword(s):  
Climate Change ◽  
Conflict Resolution ◽  
Reservoir Operation ◽  
Yangtze River ◽  
Optimal Operation ◽  
Environmental Conflict ◽  
Climate Scenarios ◽  
Water Demands ◽  
Environmental Conflict Resolution ◽  
Decision Behaviors

To balance the water demands of different departments and produce a win–win result for reservoir operation, a series of conflict-resolution methods have been developed to define the socio-optimal operation strategy for specific conflict problems. However, given the inherent uncertainty of reservoir operation brought by climate change, the compromised strategies selected by conflict-resolution methods can vary. Therefore, quantifying the impacts of climate change on the decision characteristics of conflict-resolution methods can help to address questions about whether conflict-resolution decisions are sustainable given unforeseen changes. In this study, the Yangtze River is regarded as study area. As a world-class hydropower project located on the midstream of Yangtze River, Three Gorges Hydroelectric Power Station can transfer plenty of water energy into electricity. To alleviate the ecological water shortage caused by hydropower operation, sustainable and balanced operation strategies considering the water demands of two departments needs to be studied. In the context of hydropower-environmental conflict-resolution management, the decision behaviors of two fuzzy social choice methods and four game-theoretical bargaining methods under 25 kinds of future climate scenarios are analyzed. Comparing the strategy selection results of different methods for a future period (2021–2082) shows that in all proposed climate scenarios, the decisions of the Nash bargaining method, alternating offer method, and unanimity fallback bargaining method in game-theoretical bargaining methods are more stable than other studied methods, which means that climate change affects the decision behaviors of these three methods slightly. In addition, balanced strategies selected by these three methods could formulate adaptable reservoir operation policies that would satisfy the interests of hydropower and environmental stakeholders equally, and avoid a very low satisfaction level of individual stakeholder and whole stakeholders in the water-conflict year. Therefore, against the background of an increasing demand for environmental protection, these three methods can provide socio-optimal strategies considering social and economic benefits for water resource management.

scholarly journals Projecting Basin-Scale Distributed Irrigation and Domestic Water Demands and Values: A Generic Method for Large-Scale Modeling

2016 ◽  
Vol 02 (04) ◽  
pp. 1650023 ◽  
Author(s):  
Noémie Neverre ◽  
Patrice Dumas
Keyword(s):  
Irrigation Water ◽  
Large Scale ◽  
Potential Evapotranspiration ◽  
Demand Curve ◽  
Economic Valuation ◽  
Economic Value ◽  
Expansion Method ◽  
Domestic Water ◽  
Water Demands ◽  
Basin Scale

This paper presents a methodology to project irrigation and domestic water demands on a regional to global scale, in terms of both quantity and economic value. Projections are distributed at the water basin scale. Irrigation water demand is projected under climate change. It is simply computed as the difference between crop potential evapotranspiration for the different stages of the growing season and available precipitation. Irrigation water economic value is based on a yield comparison approach between rainfed and irrigated crops using average yields. For the domestic sector, we project the combined effects of demographic growth, economic development and water cost evolution on future demands. The method consists in building three-part inverse demand functions in which volume limits of the blocks evolve with the level of GDP per capita. The value of water along the demand curve is determined from price-elasticity, price and demand data from the literature, using the point-expansion method, and from water cost data. This generic methodology can be easily applied to large-scale regions, in particular developing regions where reliable data are scarce. As an illustration, it is applied to Algeria, at the 2050 horizon, for demands associated to reservoirs. Our results show that domestic demand is projected to become a major water consumption sector. The methodology is meant to be integrated into large-scale hydroeconomic models, to determine inter-sectorial and inter-temporal water allocation based on economic valuation.

Deriving reservoir operating rules considering ecological demands of multiple stations

2021 ◽  
pp. 1-59
Author(s):  
Chen Wu ◽  
Yibo Wang ◽  
Jing Ji ◽  
Pan Liu ◽  
Liping Li ◽  
...  
Keyword(s):  
Reservoir Operation ◽  
Flood Control ◽  
Optimization Models ◽  
Ecological Indicator ◽  
Generation Model ◽  
Hydropower Generation ◽  
Rule Curves ◽  
Constraints Model ◽  
Operating Rule ◽  
Operating Rule Curves

Reservoirs play important roles in hydropower generation, flood control, water supply, and navigation. However, the regulation of reservoirs is challenged due to their adverse influences on river ecosystems. This study uses ecoflow as an ecological indicator for reservoir operation to indicate the extent of natural flow alteration. Three reservoir optimization models are established to derive ecological operating rule curves. Model 1 only considers the maximization of average annual hydropower generation and the assurance rate of hydropower generation. Model 2 incorporates ecological objectives and constraints. Model 3 not only considers the hydropower objectives but also simulates the runoff and calculates the ecological indicator values of multiple downstream stations. The three models are optimized by a simulation-optimization framework. The reservoir ecological operating rule curves are derived for the case study of China's Three Gorges Reservoir. The results represent feasible schemes for reservoir operation by considering both hydropower and ecological demands. The average annual power generation and assurance rate of a preferred optimized scheme for Model 3 are increased by 1.06% and 2.50%, respectively. Furthermore, ecological benefits of the three hydrologic stations are also improved. In summary, the ecological indicator ecoflow and optimization models could be helpful for reservoir ecological operations.

scholarly journals Multiobjective water resources systems analysis using genetic algorithms - application to Chou-Shui River Basin, Taiwan

2003 ◽  
Vol 48 (10) ◽  
pp. 71-77 ◽  
Author(s):  
J.-T. Kuo ◽  
W.-C. Cheng ◽  
L. Chen
Keyword(s):  
Genetic Algorithms ◽  
Water Supply ◽  
River Basin ◽  
Research Work ◽  
Weighting Method ◽  
Trade Off ◽  
Water Resources Systems ◽  
Weighting Factors ◽  
Rule Curves ◽  
Central Taiwan

Multipurpose operation is adopted by most reservoirs in Taiwan in order to maximize the benefits of power generation, water supply, irrigation and recreational purposes. A multiobjective approach can be used to obtain trade-off curves among these multipurpose targets. The weighting method, in which different weighting factors are used for different purposes, was used in this research work. In Taiwan, most major reservoirs are operated by rule curves. Genetic algorithms with characteristics of artificial intelligence were applied to obtain the optimal rule curves of the multireservoir system under multipurpose operation in Chou-Shui River Basin in central Taiwan. The model results reveal that different shapes of rule curves under different weighting factors on targets can be efficiently obtained by genetic algorithms. Pareto optimal solutions for a trade-off between water supply and hydropower were obtained and analyzed.

Sign in / Sign up

Export Citation Format

Share Document