scholarly journals IMPROVEMENT OF WATER ALLOCATION EFFICIENCY IN THE AMU-SURKHAN RIVERS BASIN

World Science ◽  
2019 ◽  
Vol 1 (8(48)) ◽  
pp. 4-7
Author(s):  
Malika Ikramova ◽  
Khairullo Kabilov ◽  
Alisher Khodjiev ◽  
Ifoda Akhmedkhodjaeva ◽  
Dilshod Nazaraliev
Keyword(s):  
Water Resources ◽  
Water Allocation ◽  
Water Distribution ◽  
High Energy ◽  
Low Energy ◽  
Irrigation Systems ◽  
Water Losses ◽  
Resources Management ◽  
Pumping Stations ◽  
Energy Consuming

In the article efficiency of water distribution in the territory of Amu-Surkon basin is analysed and based on the results, provided the recommendations. The study is conducted within the project QH-A-QH-2018-409 “Increase efficiency of water resources management in Surkhandarya region: improve interbasin re-distribution of the water resources of Surkhandarya and Sherabaddarya Rivers” funded by Uzbekistan government. The main problems of water management in the Surkhandarya region are: outdated irrigation systems requiring an urgent modernization; large dependence on pump irrigation; low energy efficiency of pumping stations due to use of the old high energy-consuming equipment; irrational distribution and large unproductive technical and operational water losses. Increase of sensitivity to climate change with forecasting of 50% water deficit by 2050 leads to drought and further desertification, including impact on food security. In the article some results are introduced related to improve water allocation by redistribution of water resources between the river basins in the region aimed to reduce of pumped water use for irrigation.

scholarly journals An Inexact Inventory Theory-Based Water Resources Distribution Model for Yuecheng Reservoir, China

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Meiqin Suo ◽  
Fuhui Du ◽  
Yongping Li ◽  
Tengteng Kong ◽  
Jing Zhang
Keyword(s):  
Water Resources ◽  
Water Distribution ◽  
Water Diversion ◽  
Distribution Model ◽  
Inventory Theory ◽  
Resources Management ◽  
Resources Distribution ◽  
Multiple Uncertainties ◽  
System Benefit ◽  
Decision Alternatives

In this study, an inexact inventory theory-based water resources distribution (IIWRD) method is advanced and applied for solving the problem of water resources distribution from Yuecheng Reservoir to agricultural activities, in the Zhanghe River Basin, China. In the IIWRD model, the techniques of inventory model, inexact two-stage stochastic programming, and interval-fuzzy mathematics programming are integrated. The water diversion problem of Yuecheng Reservoir is handled under multiple uncertainties. Decision alternatives for water resources allocation under different inflow levels with a maximized system benefit and satisfaction degree are provided for water resources management in Yuecheng Reservoir. The results show that the IIWRD model can afford an effective scheme for solving water distribution problems and facilitate specific water diversion of a reservoir for managers under multiple uncertainties and a series of policy scenarios.

scholarly journals Proposal of a Big data System for an Intelligent Management of Water Resources

2021 ◽  
Vol 314 ◽  
pp. 02002
Author(s):  
Sara Bouziane ◽  
Badraddine Aghoutane ◽  
Aniss Moumen ◽  
Ali Sahlaoui ◽  
Anas EL Ouali
Keyword(s):  
Big Data ◽  
Water Resources ◽  
Internet Of Things ◽  
Water Resources Management ◽  
Smart Devices ◽  
Water Losses ◽  
Resources Management ◽  
Water Leak ◽  
Intelligent Management ◽  
Agriculture Water

Today, advanced technologies like Big Data, IoT, and Cloud Computing can provide new opportunities and applications in all sectors. In the water sector, water scarcity has become a common concern of different institutions and actors worldwide. In this context, several approaches and systems have been proposed and developed, using these technologies, allowing intelligent water resources management. Internet of Things can be used for assisting the Water Industry to collect data, manage and monitor the water infrastructures using smart devices. Big Data is a strategic technology for analyzing and interpreting collected data into valuable and helpful information for better decision making. This paper presents Big Data and Internet of Things technologies. It addresses theirs uses in some use cases such as municipal water losses, water pollution in agriculture, water Leak detection, etc., to provide new systems and innovative solutions for intelligent water resources management. Based on this study, we propose a Big Data and IoT architecture for intelligent water resources management.

scholarly journals Energy and Cost Savings through Pumping Stations Rehabilitation. Case Study in Bucharest

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 593
Author(s):  
Sorin Perju ◽  
Alexandru Aldea
Keyword(s):  
Water Distribution ◽  
Energy Savings ◽  
Distribution Network ◽  
Cost Savings ◽  
Water Distribution Network ◽  
Water Network ◽  
Water Losses ◽  
Pumping Stations ◽  
Technical Solutions

This paper presents the results recorded by upgrading and rehabilitating the pumping stations for an urban water network with a primary goal of diminishing the operation and maintenance costs and a secondary goal of reducing the water losses in the water distribution network. The adopted technical solutions within the structural and functional modifications of the pumping stations have led to both the improvement of hydraulic parameters of the pumping stations and also the improvement of registered energy consumption. The undertaken modifications and transformations within the pumping stations led to significant energy savings and at the same time to important water losses reductions within the distribution network.

Summary on River Basin Water Resources Allocation Practice and Institutional Arrangements of China

2012 ◽  
Vol 212-213 ◽  
pp. 489-492
Author(s):  
Yuan Yuan Gao ◽  
Xin Yi Xu ◽  
Xiao Lin Yin
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Water Allocation ◽  
Institutional Arrangements ◽  
Resources Allocation ◽  
Social Stability ◽  
Water Resources Allocation ◽  
Resources Management ◽  
The Social ◽  
Basin Water

Formulating and implementing river basin water resources allocation scheme is one of the most crucial measures to promote orderly development, efficient utilization and management, reasonable allocation of water resources. Clarifying water share for each region in a river basin and perfecting water resources allocation system can effectively contribute to achieve the social stability, eliminate the water use contradiction among different regions, realize sustainable water resources utilization and eco-social development, guarantee environment flow. It also conforms to the strictest water resources management system proposed and carried out at present of China. In order to make the readers better understand water allocation done or being done in China, river basin water resources allocation practice was summarized in this study. Institutional arrangements related to water resources allocation in China was also been summed up.

scholarly journals GIS AND GAME THEORY FOR WATER RESOURCE MANAGEMENT

2017 ◽  
Vol IV-4/W4 ◽  
pp. 215-220 ◽  
Author(s):  
N. Ganjali ◽  
C. Guney
Keyword(s):  
Game Theory ◽  
Water Resources ◽  
Water Resources Management ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Quality Management ◽  
Cost Benefit ◽  
Resources Management ◽  
Trade Offs ◽  
The Game Theory

In this study, aspects of Game theory and its application on water resources management combined with GIS techniques are detailed. First, each term is explained and the advantages and limitations of its aspect is discussed. Then, the nature of combinations between each pair and literature on the previous studies are given. Several cases were investigated and results were magnified in order to conclude with the applicability and combination of GIS- Game Theory- Water Resources Management. It is concluded that the game theory is used relatively in limited studies of water management fields such as cost/benefit allocation among users, water allocation among trans-boundary users in water resources, water quality management, groundwater management, analysis of water policies, fair allocation of water resources development cost and some other narrow fields. Also, Decision-making in environmental projects requires consideration of trade-offs between socio-political, environmental, and economic impacts and is often complicated by various stakeholder views. Most of the literature on water allocation and conflict problems uses traditional optimization models to identify the most efficient scheme while the Game Theory, as an optimization method, combined GIS are beneficial platforms for agent based models to be used in solving Water Resources Management problems in the further studies.

scholarly journals A bibliometric analysis on the use of the multicriteria approach to the water resource management

2020 ◽  
Vol 27 (2) ◽  
Author(s):  
Alexandre Troian ◽  
Mário Conill Gomes
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Resource Management ◽  
Water Distribution ◽  
Descriptive Analysis ◽  
Scientific Production ◽  
Data Set ◽  
Resources Management ◽  
Participatory Techniques ◽  
The Subject

Abstract: The purpose of this article was to accomplish a literature review to analyze the scientific studies which were based on Multicriteria Methods to study water resources management in agriculture. Scientific production indicators were established for the subject, through a descriptive analysis of 519 publications data set generated by the Scopus database search engine. The publications were refined applying several criteria resulting in 30 articles considered to be the most important to interpret the factors that detail the researched topic. The analyzed scientific studies also show that the structuring of multicriteria models is designed to better understand the problem or the process of decision making rather than to make the decisions itself. Furthermore, to the water resources management field, they provide a way to discuss and deal with problems like water distribution and pollution. An aggregating function along with a compensatory approach is used in most publications. Although participatory techniques were not the approach used by most studies, its potential was recognized for dealing with problems such as water management resources.

MATHEMATIC MODELS OF WATER RESOURCES MANAGEMENT FOR IRRIGATION SYSTEMS

2020 ◽  
Vol 5 (3) ◽  
pp. 64-70
Author(s):  
Aysulu Aydarova ◽  
Keyword(s):  
Water Resources ◽  
Mathematical Models ◽  
Water Resources Management ◽  
Optimal Distribution ◽  
Irrigation Systems ◽  
New Model ◽  
Resources Management

This article explores the models of water resources management in irrigation systems. The article provides a classification of mathematical models for the optimal distribution of water resources. The work also substantiates the need to develop a new model of water resources management for distributed irrigation systems.

New paradigms in urban water management for conservation and sustainability

2016 ◽  
Vol 11 (1) ◽  
pp. 176-186 ◽  
Author(s):  
Andrea G. Capodaglio ◽  
Paolo Ghilardi ◽  
Joanna Boguniewicz-Zablocka
Keyword(s):  
Water Resources ◽  
Urban Areas ◽  
Landscape Planning ◽  
Low Cost ◽  
Integrated Water Resources Management ◽  
High Energy ◽  
Wastewater Management ◽  
Long Distance ◽  
Water Losses ◽  
Water Volumes

In order to achieve a sustainable degree of water resources usage, new paradigms in urbanized basins planning must be adopted. Worldwide urbanized areas total population has overcome in 2010, its rural counterpart. While urbanization can be a powerful driver of sustainable development, as the higher population density enables governments to more easily deliver essential infrastructure and services in urban areas at relatively low cost per capita, these benefits do not materialize automatically and inevitably. Water bodies are usually severely hit and impaired by poorly planned urbanization. Old water resources planning paradigms must be abandoned and new ones, which include the connection of ‘green cities’ and their infrastructure with new modes of drainage and landscape planning and improved consideration of receiving waters, ought to be adopted. These must not only be environmentally and ecologically sound, but also functionally and aesthetically attractive to the public. New eco-cities shall no longer rely on excessive water volumes withdrawn from often distant surface and groundwater sources, with a once-only use of the resource, and large water losses due to leaks and evapotranspiration. Long-distance transfer of wastewater and high energy usage and emissions for its treatment should be avoided by distributed and decentralized integrated water/wastewater management. Effluent-domination shall no longer be a characteristic of urbanized river basins. The paper examines some of the paradigms that have been proposed for improving integrated water resources management in urban basins and illustrates some recent examples whether already implemented or still at the proposal stage.

scholarly journals Inexact Multistage Stochastic Chance Constrained Programming Model for Water Resources Management under Uncertainties

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Hong Zhang ◽  
Minghu Ha ◽  
Hongyu Zhao ◽  
Jianwei Song
Keyword(s):  
Water Resources ◽  
Stochastic Programming ◽  
Water Resources Management ◽  
Water Allocation ◽  
Programming Model ◽  
Management Systems ◽  
Chance Constrained Programming ◽  
Multistage Stochastic Programming ◽  
Resources Management ◽  
Constrained Programming

In order to formulate water allocation schemes under uncertainties in the water resources management systems, an inexact multistage stochastic chance constrained programming (IMSCCP) model is proposed. The model integrates stochastic chance constrained programming, multistage stochastic programming, and inexact stochastic programming within a general optimization framework to handle the uncertainties occurring in both constraints and objective. These uncertainties are expressed as probability distributions, interval with multiply distributed stochastic boundaries, dynamic features of the long-term water allocation plans, and so on. Compared with the existing inexact multistage stochastic programming, the IMSCCP can be used to assess more system risks and handle more complicated uncertainties in water resources management systems. The IMSCCP model is applied to a hypothetical case study of water resources management. In order to construct an approximate solution for the model, a hybrid algorithm, which incorporates stochastic simulation, back propagation neural network, and genetic algorithm, is proposed. The results show that the optimal value represents the maximal net system benefit achieved with a given confidence level under chance constraints, and the solutions provide optimal water allocation schemes to multiple users over a multiperiod planning horizon.

scholarly journals Estimating Conveyance Efficiency and Maize Productivity of Traditional Irrigation Systems in Usa River Catchment, Tanzania

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Humuri K. Haymale ◽  
Karoli N. Njau ◽  
Frederick C. Kahimba
Keyword(s):  
Water Resources ◽  
Water Productivity ◽  
Management Strategies ◽  
Current Trend ◽  
Irrigation Systems ◽  
Water Losses ◽  
River Catchment ◽  
Water Abstraction ◽  
Maize Productivity ◽  
Traditional Irrigation

Estimating the conveyance efficiency of traditional irrigation schemes systems is very important. It is because of understanding the volume of water lost along with the transportation facility, enhancing water usage and productivity, hence making better decisions about the utilization of water resources. The objective of the study was to determine water abstraction permit compliances and estimate conveyance efficiency and crop and water productivity of traditional irrigation systems in northern Tanzania. The task involved measurement of irrigation water flows to determine the amount of water abstraction, inflow (head) and outflow (tail) between the canals to determine the conveyance efficiency of the main, secondary, and tertiary canals of the traditional irrigation systems. Moreover, water and yield obtained at the farm level were determined. Results indicate that approximately 72% of water transported reaches the destined farm which produced maize (Zea mays L) yields of 1054.5 kg/ha, 892.4 kg/ha, and 875.156 kg/ha at downstream, midstream, and upstream which equals 0.41 kg/m3, 0.15 kg/m3, and 0.09 kg/m3, respectively, while about 28% of water is lost along the canals through evaporation, seepage, and deep percolation and overtopping. Consequently, water measured at furrow intakes in total was 3,500 L/s, equal to 23% more than the permitted amount of 2856.14 L/s at Usa River Catchment. Interventions to minimize water losses starting at the furrow’s intakes are urgently required in the current trend of the increasing demand for water resources for food production and schemes performance. Subsequently, more effective conveyance technologies and water management strategies other than canal lining are required.

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