scholarly journals LONG-TERM WATER DEMAND ASSESSMENT USING WEAP 21: CASE OF THE GUELMA REGION, MIDDLE SEYBOUSE (NORTHEAST ALGERIA)

2021 ◽  
pp. 69-79
Author(s):  
Essia BOUDJEBIEUR ◽  
Lassaad GHRIEB ◽  
Ammar MAOUI ◽  
Hicham CHAFFAI ◽  
Zine Labidine CHINI
2017 ◽  
Vol 119 ◽  
pp. 870-882 ◽  
Author(s):  
Hocine Kiniouar ◽  
Azzedine Hani ◽  
Zoran Kapelan

2021 ◽  
Author(s):  
Hao Xu ◽  
Xu Lian ◽  
Ingrid Slette ◽  
Hui Yang ◽  
Yuan Zhang ◽  
...  

Abstract The timing and length of the dry season is a key factor governing ecosystem productivity and the carbon cycle of the tropics. Mounting evidence has suggested a lengthening of the dry season with ongoing climate change. However, this conclusion is largely based on changes in precipitation (P) compared to its long-term average (P ̅) and lacks consideration of the simultaneous changes in ecosystem water demand (measured by potential evapotranspiration, Ep, or actual evapotranspiration, E). Using several long-term (1979-2018) observational datasets, we compared changes in tropical dry season length (DSL) and timing (dry season arrival, DSA, and dry season end, DSE) among three common metrics used to define the dry season: P < P ̅, P < Ep, and P < E. We found that all three definitions show that dry seasons have lengthened in much of the tropics since 1979. Among the three definitions, P < E estimates the largest fraction (49.0%) of tropical land area likely experiencing longer dry seasons, followed by P < Ep (41.4%) and P < P ̅ (34.4%). The largest differences in multi-year mean DSL (> 120 days) among the three definitions occurred in the most arid and the most humid regions of the tropics. All definitions and datasets consistently showed longer dry seasons in southern Amazon (due to delayed DSE) and central Africa (due to both earlier DSA and delayed DSE). However, definitions that account for changing water demand estimated longer DSL extension over those two regions. These results indicate that warming-enhanced evapotranspiration exacerbates dry season lengthening and ecosystem water deficit. Thus, it is necessity to account for the evolving water demand of tropical ecosystems when characterizing changes in seasonal dry periods and ecosystem water deficits in an increasingly warmer and drier climate.


2008 ◽  
pp. 483-489
Author(s):  
Shinji Kaneko ◽  
Karen Ann B. Jago-on
Keyword(s):  

2017 ◽  
Vol 8 (3) ◽  
pp. 432-446 ◽  
Author(s):  
O. K. M. Ouda ◽  
Y. Khalid ◽  
A. H. Ajbar ◽  
M. Rehan ◽  
K. Shahzad ◽  
...  

Abstract The Kingdom of Saudi Arabia (KSA) is situated in an arid region and faces a chronic challenge to meet its increasing water demand. Riyadh is the capital of KSA and home to about six million people. The water demand is mostly met by groundwater resources (up to 48%), while the desalination plants cover the rest of the water supply requirements. There is a potential risk of a significant gap in water demand–supply due to the retirement of old desalination plants. This study, therefore, developed a probabilistic model to forecast desalinated water demand in Riyadh for domestic purposes up to the year 2040 based on three scenarios: low growth, the most likely (mean), and high growth scenario. The results showed that an investment of about US$6.24, 11.59, and 16.04 billion is required to meet the future domestic water demand of the city for the next 25 years based on low, mean, and high growth scenarios, respectively. Moreover, a strong commitment to public–private partnership is required to remove the fiscal budget burden related to the desalination along with public awareness campaigns to reduce per capita water consumption, upgrading the water tariff system and using renewable energy to run desalination plants.


2020 ◽  
Author(s):  
Fabian Drenkhan ◽  
Randy Muñoz ◽  
Christian Huggel ◽  
Holger Frey ◽  
Fernando Valenzuela ◽  
...  

&lt;p&gt;In the Tropical Andes, glaciers play a fundamental role for sustaining human livelihoods and ecosystems in headwater areas and further downstream. However, current rates of glacier shrinkage driven by climate change as well as increasing water demand levels bear a threat to long-term water supply. While a growing number of research has covered impacts of climate change and glacier shrinkage on the terrestrial water cycle and potential disaster risks, the associated potential economic losses have barely been assessed.&lt;/p&gt;&lt;p&gt;Here we present an integrated surface-groundwater assessment model for multiple water sectors under current conditions (1981-2016) and future scenarios (2050) of glacier shrinkage and growing water demand. As a case, the lumped model has been applied to the Santa river basin (including the Cordillera Blanca, Andes of Peru) within three subcatchments and considers effects from evapotranspiration, environmental flows and backflows of water use. Therefore, coupled greenhouse gas concentration (RCP2.6 and RCP8.5) and socioeconomic scenarios are used, which provide a broad range of the magnitude of glacier and water volume changes and associated economic impacts. Finally, net water volume released on the long term due to deglaciation effects is quantified and by multiple metrics converted into potential economic costs and losses for the agriculture, household and hydropower sectors. Additionally, the potential damages from outburst floods from current and future lakes have been included. Results for the entire Santa river basin show that water availability would diminish by about 11-16% (57-78 10&lt;sup&gt;6&lt;/sup&gt; m&amp;#179;) in the dry season (June-August) and by some 7-10% (103-155 10&lt;sup&gt;6&lt;/sup&gt; m&amp;#179;) during the wet season (December-February) under selected glacier shrinkage scenarios until 2050. This is a consequence of diminishing glacier contribution to streamflow which until 2050 would reduce from about 45% to 33% for June-August and from 6% to 4% for December-February. A first rough estimate suggests associated economic losses for main water demand sectors (agriculture, hydropower, drinking water) on the order of about 300 10&lt;sup&gt;6&lt;/sup&gt; USD/year by 2050. Additionally, with ongoing glacier shrinkage and the formation of new lakes, about 45,000 inhabitants and 30,000 buildings are expected to be exposed to the risk of outburst floods in the 21&lt;sup&gt;st&lt;/sup&gt; century.&lt;/p&gt;&lt;p&gt;The pressure on water resources and interconnected socio-eonvironmental systems in the basin is already challenging and expected to further exacerbate within the next decades. Currently, water demand levels are considerably increasing driven by growing irrigated (export) agriculture, population and energy demand which is in a large part sustained by hydropower. A coupling of potential water scarcity driven by climate change with a lack of water governance and high human vulnerabilities, bears strong conflict potentials with negative feedbacks for socio-economic development in the Santa basin and beyond. In this context, our coupled hydro-glacial economic impact model provides important support for future decision-making and long-term water management planning. However, uncertainties are relatively high (uncertainty range to be estimated) due to a lack of (good) hydro-climatic and socio-economic information at appropriate spatiotemporal scales. The presented model framework is potentially transferable to other high mountain catchments in the Tropical Andean region and beyond.&lt;/p&gt;


1989 ◽  
Vol 20 ◽  
pp. 235-242 ◽  
Author(s):  
J. A. Allan

Water is a familiar resource and one which is rarely properly valued, and worse, frequently treated as if it were a ‘free good’. In a country such as Libya, which has no perennial surface-runoff and where no permanently flowing stream reaches the Mediterranean Sea, the value of its available water is proportionately important. At the same time Libya has some deeply rooted attitudes to resources, often culturally based, which have militated against the optimum long term use of its none too abundant renewable and non-renewable water. In addition Libya has undergone some remarkable changes in economic circumstances in the past twenty years. These changes of circumstance have been of particular importance because they stimulated expectations and water demand much more effectively than they brought about changes of attitude at national and local levels to regulate water allocation and inform water utilisation policies. The changes have been especially powerful where they have resulted from the deployment of new technologies which have had significant environmental impacts.


2021 ◽  
Vol 309 ◽  
pp. 01178
Author(s):  
Chandana Imadabathuni ◽  
Padala Sri Vardhan Goud ◽  
Nalla Ravi Kiran ◽  
Bathula Naveen

Water tank is a water storage structured built for long term use. These tanks were utilized for various uses like distribution of water, firefighting, agriculture, food industry, paper mills etc. It comes in handy when there is an intermittent supply of water or scarcity of water. Materials like concrete, pvc Galvanized Iron, fibre is used to manufacture tanks. Water is pumped through pipe by using pumps from a source. For distribution purpose water can be distributed either gravity or pump to reach individual with desired pressure and velocity. Volume is calculated based upon population and their usage and demand. Water demand varies hour to hour. For a continues supply water tanks are best suited. To meet water demand by public water tanks are to be constructed. Design and analysis are similar for any liquid present in water tank but is should be crack free to avoid leakage


2019 ◽  
Vol 19 (8) ◽  
pp. 2179-2198 ◽  
Author(s):  
Gustavo de Souza Groppo ◽  
Marcelo Azevedo Costa ◽  
Marcelo Libânio

Abstract The balance between water supply and demand requires efficient water supply system management techniques. This balance is achieved through operational actions, many of which require the application of forecasting concepts and tools. In this article, recent research on urban water demand forecasting employing artificial intelligence is reviewed, aiming to present the ‘state of the art’ on the subject and provide some guidance regarding methods and models to research and professional sanitation companies. The review covers the models developed using standard statistical techniques, such as linear regression or time-series analysis, or techniques based on Soft Computing. This review shows that the studies are, mostly, focused on the management of the operating systems. There is, therefore, room for long-term forecasts. It is worth noting that there is no global model that surpasses all the methods for all cases, it being necessary to study each region separately, evaluating the strengths of each model or the combination of methods. The use of statistical applications of Machine Learning and Artificial Intelligence methodologies has grown considerably in recent years. However, there is still room for improvement with regard to water demand forecasting.


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