scholarly journals Multiyear rainfall variability in the Mono river basin and its impacts on Nangbeto hydropower scheme

2021 ◽  
Vol 384 ◽  
pp. 343-347
Author(s):  
Salomon Obahoundje ◽  
Ernest Amoussou ◽  
Marc Youan Ta ◽  
Lazare Kouakou Kouassi ◽  
Arona Diedhiou
Keyword(s):  
Water Level ◽  
Water Availability ◽  
Rainfall Variability ◽  
Energy Generation ◽  
Hydropower Plant ◽  
Hydropower Generation ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Hydropower Plants ◽  
Change Context

Abstract. Hydropower energy, the main renewable energy source in West Africa, contributes to more than half of the Togo and Benin National electrification. This resource highly depends on water availability in rivers or reservoirs. The water availability heavily relies on climate patterns of the area. In the climate change context, the sustainability of hydropower plants is at risk. This work aims to assess the sensitivity of the Nangbeto hydropower plant to multiyear climate variability using statistical analysis. The results show that energy generation at Nangbeto hydropower is more modulated by four main variables namely inflow to reservoir, water level, rainfall of the actual and the previous year. The energy generation is found to be strongly and significantly correlated to inflow to reservoir, water level, and rainfall. Overall, the Nangbeto hydropower generation is more sensitive to inflow which is controlled by climate variables (rainfall, temperature) and land use/cover change. Therefore, the probable future change in these variables is suggested to be deeply investigated.

scholarly journals Hydropower Plants Frequency Regulation Depending on Upper Reservoir Water Level

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1637 ◽  
Author(s):  
Platero ◽  
Sánchez ◽  
Nicolet ◽  
Allenbach
Keyword(s):  
Water Level ◽  
Power Quality ◽  
Frequency Regulation ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Hydro Power ◽  
Control Frequency ◽  
Hydropower Plants ◽  
Power Injection ◽  
Current Water

This paper presents a novel method of hydro power plant operation, based on the control of the injectors’ or wicked gates opening time as a function of the upper reservoir level. In this way, a faster power injection, depending on the current water level on the upper reservoir, could be achieved. When this level is higher, the opening time could be shorter; hence, hydropower ramps could be steeper. Due to this control, frequency excursions and load shedding trips are smaller, thus the power quality is enhanced. This method has been tested and validated by computer simulations in a case study located in El Hierro island, Canary Archipelago (Spain). The simulations made show significant improvements, dependent on upper reservoir water level, in power quality.

CLIMATE VARIABILITY AND IMPACT VULNERABILITY STATUS OF IRRIGATION WATER RESOURCES ON RICE AND TOMATO PRODUCTION DOWNSTREAM OF TIGA DAM, NIGERIA

2021 ◽  
Vol 5 (1) ◽  
pp. 126-134
Author(s):  
A. B. Adegbehin ◽  
E. O. Iguisi ◽  
Y. O. Yusuf ◽  
C. K. Dauda
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Water Level ◽  
Water Availability ◽  
Irrigation Water ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Tomato Production ◽  
Rainfall Index ◽  
The Government

The focus of this empirical study is to investigate the trends of some hydro metrological parameters and Impact Vulnerability Status (IVS) of irrigation water resources on rice and tomato production in the downstream of Tiga station. Investigation was conducted using data on rainfall, temperature, evaporation and reservoir water level for 30 years in Tiga station. The data collected was used to show the trend fluctuations of each parameter for the period of study. The rainfall data was also used to analyze the Normalized Rainfall Index (NRI) in order to know periods of surplus, deficit and optimal water availability as against the required water for rice and tomato production. The rainfall pattern and water level showed increasing trend while temperature and evaporation showed a general decrease in trend. The NRI used to investigate the IVS in Tiga station downstream revealed that rice and tomato were not vulnerable to drought and flooding for 18 years while every other years were vulnerable or slightly vulnerable. However, only year 1993 appears to be very wet and highly susceptible to flooding. Findings from focus group revealed that 80% of the farmers reported floods occurrences during rainy season and deficit of water between January and March of each year. In conclusion, the IVS of farmers to climate change revealed periods of deficit, optimal and excess water availability for rice and tomato production and their vulnerability status. It was recommended that the government should strengthen laws and policies relevant in addressing climate change

scholarly journals Impacts of Climate Change on Water Availability and Reservoir Based Hydropower

2019 ◽  
Vol 1 (1) ◽  
pp. 52-68 ◽  
Author(s):  
Suman Ghimire ◽  
Nabin Dhungana ◽  
Suraj Upadhaya
Keyword(s):  
Climate Change ◽  
Water Level ◽  
Water Availability ◽  
Meteorological Data ◽  
Secondary Data ◽  
Primary Data ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Monthly Data ◽  
Impacts Of Climate Change

The impacts of climate change (CC) are observed in several sectors, and water resource is one of them. This study explored the impacts of CC on water availability and reservoir based hydropower. It determined the impacts of CC in the reservoir water level and major watershed characteristics and has explored the perception of people on CC impacts in the reservoir. The primary data were collected through questionnaire and field survey and secondary data were gathered from different literatures. The analysis of meteorological data generated from meteorological station. temperature and rainfall data, discharge of Kulekhani River, monthly data of reservoir level and annual energy generation revealed increasing pattern of temperature and decreasing seasonal and annual precipitation in the study area. Similarly, because of the increased sedimentation, the water level of the reservoir has been increasing though the precipitation has been observed declining. Consideration could be taken while designing such hydropowers to hold water year-round, resulting minimal power shortage. A clear institutional direction and strategies could make reservoir based hydropower climate resilient and enable sustainable generation of electricity.

scholarly journals Hydropower Plants Frequency Regulation Depending on Upper Reservoir Water Level

2020 ◽  
Author(s):  
Carlos A Platero ◽  
José A Sánchez ◽  
Christophe Nicolet ◽  
Philippe Allenbach
Keyword(s):  
Water Level ◽  
Frequency Regulation ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Hydropower Plants

scholarly journals Analisis Ketersediaan Air Waduk Gadjah Mungkur dengan Adanya Pembangunan Intake dan Jaringan Pipa Trasmisi Wosusokas

2021 ◽  
pp. 107-114
Author(s):  
B.K.P. Cantik ◽  
I.R. Fitriana ◽  
N. Diandra ◽  
S. Valentino ◽  
A.K. Tambing
Keyword(s):  
Drinking Water ◽  
Water Level ◽  
Secondary Data ◽  
Hydropower Plant ◽  
Water Level Fluctuations ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Reservoir Storage ◽  
Storage Volume ◽  
Transmission Pipeline

Gadjah Mungkur Reservoir is one of the multipurpose reservoirs built by damming the flow of the Bengawan Solo River. The Gadjah Mungkur Reservoir has existed for a long time with the main purpose of controlling flooding, but over time, this reservoir is also useful as a hydropower plant, irrigation, and also to meet the raw water needs of Wonogiri City. The potential of the Gadjah Mungkur Reservoir itself in meeting the needs of drinking water is an essential function in the people’s life around the reservoir. Therefore, the expansion of the scope of providing drinking water can be used to develop the potential of the Gadjah Mungkur Reservoir. This coverage expansion was realized through the construction of the Wosusokas intake and transmission pipeline network to drinking water receiving areas, namely Wonogiri, Sukoharjo, Solo, and Karanganyar, with service coverage of drinking water access resepectively ±78,38, ±70,97%, ±81,85%, and ±70,97%. This study aims to analyze the water availability of the Gadjah Mungkur Reservoir with additional coverage for drinking water services. The method used is a simple reservoir routing calculation by processing secondary data obtained in the form of inflow, outflow, and reservoir storage characteristics. The results of the analysis show that elevation variations with the construction of the Wosusokas intake and transmission pipeline have an annual average of +132,56 m in 2017, with a reservoir storage volume reaching 216,27 MCM and +134,29 m in 2018, with a reservoir storage volume reaching 284,92 MCM. However, there are some elevation values that exceed +138,0 m, namely at February to March 2018. However, overall, the results of the analysis show that the Wosusokas construction can increase the potential utilization of the Gadjah Mungkur Reservoir without endangering the reservoir with water level fluctuations that can still be controlled and in accordance with the regulation of reservoir water level.

scholarly journals The Monitoring-Based Analysis on Deformation-Controlling Factors and Slope Stability of Reservoir Landslide: Hongyanzi Landslide in the Southwest of China

Geofluids ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Bing Han ◽  
Bin Tong ◽  
Jinkai Yan ◽  
Chunrong Yin ◽  
Liang Chen ◽  
...  
Keyword(s):  
Water Level ◽  
Water Pressure ◽  
Monitoring Program ◽  
Significant Risk ◽  
Controlling Factors ◽  
Seepage Water ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Reservoir Area ◽  
Reservoir Landslide

Reservoir landslide is a type of commonly seen geological hazards in reservoir area and could potentially cause significant risk to the routine operation of reservoir and hydropower station. It has been accepted that reservoir landslides are mainly induced by periodic variations of reservoir water level during the impoundment and drawdown process. In this study, to better understand the deformation characters and controlling factors of the reservoir landslide, a multiparameter-based monitoring program was conducted on a reservoir landslide—the Hongyanzi landslide located in Pubugou reservoir area in the southwest of China. The results indicated that significant deformation occurred to the landslide during the drawdown period; otherwise, the landslide remained stable. The major reason of reservoir landslide deformation is the generation of seepage water pressure caused by the rapidly growing water level difference inside and outside of the slope. The influences of precipitation and earthquake on the slope deformation of the Hongyanzi landslide were insignificant.

scholarly journals Application of Neural Network Models and ANFIS for Water Level Forecasting of the Salve Faccha Dam in the Andean Zone in Northern Ecuador

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2011
Author(s):  
Pablo Páliz Larrea ◽  
Xavier Zapata Ríos ◽  
Lenin Campozano Parra
Keyword(s):  
Neural Network ◽  
Water Level ◽  
Clustering Algorithm ◽  
Network Models ◽  
Water Levels ◽  
Subtractive Clustering ◽  
Neural Network Models ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Maximum Delay

Despite the importance of dams for water distribution of various uses, adequate forecasting on a day-to-day scale is still in great need of intensive study worldwide. Machine learning models have had a wide application in water resource studies and have shown satisfactory results, including the time series forecasting of water levels and dam flows. In this study, neural network models (NN) and adaptive neuro-fuzzy inference systems (ANFIS) models were generated to forecast the water level of the Salve Faccha reservoir, which supplies water to Quito, the Capital of Ecuador. For NN, a non-linear input–output net with a maximum delay of 13 days was used with variation in the number of nodes and hidden layers. For ANFIS, after up to four days of delay, the subtractive clustering algorithm was used with a hyperparameter variation from 0.5 to 0.8. The results indicate that precipitation was not influencing input in the prediction of the reservoir water level. The best neural network and ANFIS models showed high performance, with a r > 0.95, a Nash index > 0.95, and a RMSE < 0.1. The best the neural network model was t + 4, and the best ANFIS model was model t + 6.

scholarly journals Large-Scale Landslide Displacement Rate Prediction Based on Multi-Factor Support Vector Regression Machine

2021 ◽  
Vol 11 (4) ◽  
pp. 1381
Author(s):  
Xiuzhen Li ◽  
Shengwei Li
Keyword(s):  
Support Vector Regression ◽  
Water Level ◽  
Large Scale ◽  
Displacement Rate ◽  
Support Vector ◽  
Single Factor ◽  
Reservoir Water ◽  
Reservoir Water Level ◽  
Depth Analysis ◽  
Three Factor

Forecasting the development of large-scale landslides is a contentious and complicated issue. In this study, we put forward the use of multi-factor support vector regression machines (SVRMs) for predicting the displacement rate of a large-scale landslide. The relative relationships between the main monitoring factors were analyzed based on the long-term monitoring data of the landslide and the grey correlation analysis theory. We found that the average correlation between landslide displacement and rainfall is 0.894, and the correlation between landslide displacement and reservoir water level is 0.338. Finally, based on an in-depth analysis of the basic characteristics, influencing factors, and development of landslides, three main factors (i.e., the displacement rate, reservoir water level, and rainfall) were selected to build single-factor, two-factor, and three-factor SVRM models. The key parameters of the models were determined using a grid-search method, and the models showed high accuracies. Moreover, the accuracy of the two-factor SVRM model (displacement rate and rainfall) is the highest with the smallest standard error (RMSE) of 0.00614; it is followed by the three-factor and single-factor SVRM models, the latter of which has the lowest prediction accuracy, with the largest RMSE of 0.01644.

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