From Domestic to International Conflicts over Water Resources: A Look at the Water Distribution Disputes Outside of the Greater Mekong Region

2020 ◽  
pp. 209-226
Author(s):  
Detlef Briesen
Keyword(s):  
Water Resources ◽  
Water Distribution ◽  
International Conflicts ◽  
Mekong Region

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.

The Water Supply and Distribution System of the Nabataean City of Petra (Jordan), 300 bc– ad 300

2005 ◽  
Vol 15 (1) ◽  
pp. 93-109 ◽  
Author(s):  
Charles R. Ortloff
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Distribution System ◽  
Water Distribution ◽  
Maximum Flow ◽  
Living Standard ◽  
City Development ◽  
Trade Networks ◽  
Supply And Distribution ◽  
Design Function

The water supply and distribution system of the Nabataean city of Petra in southwestern Jordan has been explored and mapped. Analysis of the system indicates exploitation of all possible water resources using management techniques that balance reservoir storage capacity with continuous flow pipeline systems to maintain a constant water supply throughout the year. Nabataean Petra was founded c. 300 bc; urban development progressed with later Roman administration of the city starting at ad 106; Byzantine occupation continued to the seventh century ad. Trade networks that extended throughout much of the ancient Near East and Mediterranean world intersected at Petra, and brought not only strategic and economic prominence, but also impetus to develop water resources fully to sustain demands of increasing population and city elaboration. City development was influenced by artistic, cultural and technological borrowings from Seleucid, Syro-Phoenician, Greek and Roman civilizations; the Petra water-distribution system included hydraulic technologies derived from these contacts as well as original technical innovations that helped to maintain the high living standard of city dwellers throughout the centuries. Analysis of the Nabataean water network indicates design criteria that promote stable flows and use sequential particle-settling basins to purify potable water supplies. They also promote open channel flows within piping at critical (maximum) flow rates that avoid leakage associated with pressurized systems and have the design function to match the spring supply rate to the maximum carrying capacity of a pipeline. This demonstration of engineering capability indicates a high degree of cognitive skill in solving complex hydraulic problems to ensure a stable water supply and may be posited as a key reason behind the many centuries of flourishing city life.

scholarly journals Challenges to the sustainable use of water resources in the Ili River basin of Central Asia

2019 ◽  
Vol 81 ◽  
pp. 01009 ◽  
Author(s):  
Sabir Nurtazin ◽  
Niels Thevs ◽  
Margulan Iklasov ◽  
Norman Graham ◽  
Ruslan Salmurzauli ◽  
...  
Keyword(s):  
Water Resources ◽  
Central Asia ◽  
Distribution Systems ◽  
Water Distribution ◽  
Sustainable Use ◽  
Hydrological Regime ◽  
Careful Consideration ◽  
Flow Rates ◽  
Ili River Basin ◽  
Using Data

Water is a scarce resource in Central Asia, and many catchments span international boundaries, among them that of the Ili River, which is shared by China and Kazakhstan. Since 1970, the natural hydrological regime of the Ili River, both absolute flow rates and cycles, has changed due to construction of reservoirs such as that at Kapchagai, as well as natural climatic cycles and the growth of water consumption in the basin. Using data from Kazhydromet, we calculated that flow rates below Kapchagai dam averaged 468 m3/sec before construction of the dam, 366 m3/sec while the reservoir was being filled, and 489 m3/sec between 1988 and 2013. The dam has profoundly altered the annual cycle of flows in the river, with reductions in the summer and increases in the winter, when water is released to produce hydropower. The effects of these changes are being heightened by China’s increasing diversion of the river’s water. The sustainable use of decreasing water resources to conserve the biodiversity of the Ili-Balkhash basin’s ecosystems mandates a solution to the water allocation challenge between China and Kazakhstan. This will require a basin-wide approach that includes modernization of water distribution systems and careful consideration to relative priority needs for food, hydropower, and communal uses in both countries.

scholarly journals Payment for environmental service of conservation in Cokro Tulung spring, Klaten regency, Indonesia

2019 ◽  
Vol 270 ◽  
pp. 04002
Author(s):  
Faisal ◽  
Evi Gravitiani ◽  
Suryanto ◽  
Mugi Raharjo
Keyword(s):  
Water Resources ◽  
Water Distribution ◽  
Contingent Valuation Method ◽  
Municipal Water Supply ◽  
Average Value ◽  
Central Java ◽  
Valuation Method ◽  
Water Resources Conservation ◽  
Resources Conservation ◽  
Water Supply Company

This study aims to: (1) determine the conservation of water resources willingness to pay (WTP) of the community, (2) determine the determinants that significantly affect the value of PAPs for additional benefits due to increase management of water resources conservation, and (3) determine whether reforestation environment is a type of conservation that community desires. Respondents from this study are Surakarta citizens, precisely in the southern region of Surakarta, Laweyan District, Central Java. They are customers of Surakarta Municipal Water Supply Company, especially the water distribution of the Cokro Tulung spring. This study uses linear analysis and Contingent Valuation Method (CVM). The interviews result with 106 respondents revealed that: (1) the average value of WTP in R2 is Rp 1,872,-, the average value of WTP in R3 is Rp 3,238,-, the average value of WTP in R4 is Rp 2,769,-, and the average value of WTP in trade group 1 is Rp 3,846,-, (2) education variables and perception variables on the importance of conservation have a significant effect on WTP of conservation of water resources, and (3) survey results show that there are 73.6% of respondents intend to do greening around Cokro Tulung spring.

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.

scholarly journals WATER SAVING MEASURES SUBSTANTIATION FOR RICE IRRIGATION SYSTEMS

2021 ◽  
Author(s):  
G. T. Balakay ◽  
◽  
R. S. Masnyi ◽  
Keyword(s):  
Water Resources ◽  
Water Distribution ◽  
Good Condition ◽  
Sprinkler Irrigation ◽  
Water Saving ◽  
Irrigation Rate ◽  
Rostov Region ◽  
Rice Irrigation ◽  
Water Intensity ◽  
High Yields

Purpose: analysis of the rice production water intensity and justification of measures for water saving, allowing to reduce the use of water resources for growing rice and companion crops, to reduce water intensity of production of a production unit while maintaining high yields. Materials and methods. Methods of analysis and synthesis to substantiate the rice and companion crops irrigation regime were used. Results. The analysis of long-term studies of the FSBSE “RSRILIP” showed that the water demand design norms for rice irrigation are exceeded by 1.5–2.0 times. For example, in the low-water year 2020, the rice irrigation rates on the rice systems of Rostov region fluctuated in agricultural enterprises from 27 to 47 thousand cubic m/ha. To save water resources, the main measures should be: maintaining the reclamation network and hydraulic structures in good condition, planned water use and water distribution, improving irrigation equipment and technologies. The first place in terms of influence on the value of the irrigation rate is the evenness of the check surface, since if the height in the check is more than 0.03–0.05 m from the design, the irrigation rate can double due to the need to create a given layer of water over the entire check area. It was found that the irrigation rate value is also influenced by the natural moisture content of the territory, the granulometric composition of the soil, the rate of filtration, the depth of groundwater, the degree of soil salinity and alkalinization. Depending on these factors under the conditions of Rostov region, the irrigation rate for rice can vary from 27 to 36 thousand cubic m/ha and more. Conclusions. To reduce the irrigation norms, irrigation regimes of the shortened type of flooding and obtaining seedlings on natural moisture reserves are recommended. The rice and companion crops cultivation using the ridge technology with periodic sprinkler irrigation or check flooding requires study.

scholarly journals Analysis for spatial-temporal matching pattern between water and land resources in Central Asia

2020 ◽  
Vol 51 (5) ◽  
pp. 994-1008
Author(s):  
Ying Zhang ◽  
Zhengxiao Yan ◽  
Jinxi Song ◽  
Anlei Wei ◽  
Haotian Sun ◽  
...  
Keyword(s):  
Water Resources ◽  
Central Asia ◽  
Gini Coefficient ◽  
Water Distribution ◽  
Aral Sea ◽  
Cultivated Land ◽  
Land Resources ◽  
The Gini Coefficient ◽  
Matching Degree ◽  
Matching Index

Abstract Central Asia, the pioneering place of the ‘Belt and Road’, is under the threat of prominent water issues. Based on the Gini coefficient model and the matching index, the amount of the total renewable water resources and the cultivated land area were introduced to evaluate the matching pattern between the water and land resources in Central Asia. The water problem of Kazakhstan, being the most prominent, shows low water resources per unit area with the highest reclamation rate. The matching degree for the upstream countries of the Aral Sea (Kyrgyzstan, Tajikistan) was better than those of the downstream countries (Turkmenistan, Uzbekistan, Kazakhstan). The Gini coefficient in Central Asia was 0.32, smaller than that of the global average value (0.59). The overall water available for use and the matching cultivated land resources was reasonable. Large differences exist in the matching degree in water distribution and utilization among Central Asian countries. The matching index of water and land resources in Central Asia was 1.25, similar to the matching degree estimated from the Gini coefficient model. Moreover, rational measures are suggested to alleviate the issue of water and land resources matching in Central Asia.

scholarly journals Detection of multiple leakage points in water distribution networks based on convolutional neural networks

2019 ◽  
Vol 19 (8) ◽  
pp. 2231-2239 ◽  
Author(s):  
QianSheng Fang ◽  
JiXin Zhang ◽  
ChenLei Xie ◽  
YaLong Yang
Keyword(s):  
Water Resources ◽  
Distribution System ◽  
Water Distribution ◽  
Historical Data ◽  
Single Point ◽  
Distribution Networks ◽  
Detection Methods ◽  
Leakage Detection ◽  
Time Data ◽  
Point Detection

Abstract Currently, a total of 3.6 billion people live in water-deficient areas, and the population living in water-deficient areas may reach from 4.8 to 5.7 billion by 2050. Despite that, the water distribution system (WDS) loses an average of 35% of its water resources, and the leakage rates may reach even higher values in some regions. The dual pressures of the lack of water resources and severe WDS leakage become even more problematic considering that commonly used leakage detection methods are time-consuming, labour-intensive, and can only detect single-point leakages. For multiple leakage point detection, these methods often perform poorly. To solve the problem of multiple leakage point detection, this paper presents a method for multiple leakage point detection based on a convolutional neural network (CNN). A CNN can forecast the leakages from a macro-perspective. It extracts the features of the collected historical leakage data by constructing a CNN model and predicts whether the real-time data are leakage data or not based on the learning of the features that are extracted from the historical data. The experimental results show that the detection accuracies based on 21 sensors of one, two, and three leakage points are 99.63%, 98.58% and 95.25%, respectively. After the number of sensors is reduced to eight, the leakage detection accuracies of one, two, and three leakage points are 96.43%, 94.88% and 91.56%, respectively.

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