scholarly journals Dynamic ecological water demand based on long-term ecological water consumption in Lake Daihai, 1975-2020

2022 ◽  
Vol 34 (1) ◽  
pp. 207-218
Author(s):  
Ma Jiali ◽  
◽  
Liu Dongwei ◽  
Wang Jie ◽  
Cheng Yingnan ◽  
...  
Keyword(s):  
Water Consumption ◽  
Water Demand ◽  
Ecological Water Demand ◽  
Lake Daihai

scholarly journals Water Consumption Variability Based on Cumulative Data From Non-simultaneous and Long-term Measurements

2021 ◽  
Author(s):  
Jacek Wawrzosek ◽  
Syzmon Ignaciuk ◽  
Justyna Stańczyk ◽  
Joanna Kajewska-Szkudlarek
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Fuzzy Time Series ◽  
Water Supply Systems ◽  
Short Term ◽  
Continuous Processes ◽  
Short And Long Term ◽  
Demand Patterns

AbstractDevices for water consumption measurement provide data from periodical readings in a non-simultaneous and cumulative manner. This may result in inaccuracies within the process of inference about the short-term habitual patterns of water supply network users. Maintaining systems at the interface between periodic and continuous processes requires the continuous improvement of research methodology. To obtain reliable results regarding the variability of water consumption, the first step should be to estimate it for each observation day by periodic averaging and a possible water balancing approach, but the analysis of the value of estimators obtained in this way usually does not allow for studying autocorrelation. However, other methods indicate the existence of multiplicative parameters characterizing short- and long-term variations in water demand. The purpose of this study is to create a new and deterministic method for tackling the problem associated with a lack of short-term detailed data with fuzzy time series using a multiplicative model for water consumption. Satisfactory results have been obtained, demonstrating that the dispersed data, received in a cumulative manner for random periods of measurement, can be analyzed by the methodology of proposed statistical inference. The observed variability in water consumption may be used in the planning and modernization of water supply systems, development of water demand patterns, hydraulic models, and in the creation of forecasting models of water consumption.

scholarly journals Sensitivity analysis of water consumption in an office building

2018 ◽  
Vol 30 ◽  
pp. 01002
Author(s):  
Tomas Suchacek ◽  
Ladislav Tuhovcak ◽  
Jan Rucka
Keyword(s):  
Sensitivity Analysis ◽  
Water Consumption ◽  
Water Demand ◽  
Working Hours ◽  
Working Time ◽  
Office Building ◽  
Time Step ◽  
Step Duration ◽  
Demand Variation

This article deals with sensitivity analysis of real water consumption in an office building. During a long-term real study, reducing of pressure in its water connection was simulated. A sensitivity analysis of uneven water demand was conducted during working time at various provided pressures and at various time step duration. Correlations between maximal coefficients of water demand variation during working time and provided pressure were suggested. The influence of provided pressure in the water connection on mean coefficients of water demand variation was pointed out, altogether for working hours of all days and separately for days with identical working hours.

scholarly journals Long-term analysis of River Tisza water level data with regard to the ecological water demand of floodplain water bodies

2021 ◽  
Vol 15 (1) ◽  
pp. 16-32
Author(s):  
György Dévai ◽  
Martina Gyöngy ◽  
Csaba Berta ◽  
Ferenc Bogár ◽  
Imre Bogár ◽  
...  
Keyword(s):  
Water Level ◽  
Water Demand ◽  
Ecological Status ◽  
Water Levels ◽  
Water Bodies ◽  
Water Volume ◽  
Data Series ◽  
Floodplain Wetlands ◽  
Ecological Water Demand

One of the main threats of our time is the increasing water demand not only globally, but also locally. These are often met at the expense of ecological water demand, jeopardizing the structural and operational conditions necessary to maintain good ecological status in aquatic and wetland habitats. This is why it is of great importance to explore possible water retention options. In 2019, based on the long-term data series on the water level of River Tisza, we studied the frequency and extent of flooding in the floodplain between Tiszabercel and Gávavencsellő, where there are valuable wetlands, including a ‘sanctuary’-type backwater. This was necessary because recently the floodplains have undergone negative changes. Their water volume has gradually decreased, their valuable wildlife has become rarer, some of them have completely dried out in the autumn and even one of them has burned out. From the analysis of the examined 48-years data, it could be concluded that flooding was relatively frequent in the sampled area, but the extent of water coverage had no significant effect either in space or time. It was also found that only water levels above 700 cm (based on the water meter of Tiszabercel, 98.36 mBf) could adequately ensure that the water bodies are filled up and flushed out. However, there is little chance of this, because of four reasons: (1) water levels of this height are becoming rare; (2) the duration and height of high water levels are mostly short in time; (3) water levels of several water bodies are artificially decreased; (4) the drainage effect of the River Tisza – which has been significantly incised after the river regulation – prevails in the area. Due to all, in the future, there would be a great need to maintain the water levels in the floodplain wetlands as efficiently as possible after the floods – for which we have made specific proposals for the places and methods to preserve the ecologically necessary amount of water.

scholarly journals Study on Ecological Allocation of Mine Water in Mining Area based on Long Term Rainfall Forecast

2021 ◽  
Author(s):  
lei guanjun ◽  
Changshun Liu ◽  
wenchuan wang ◽  
Jun-xian Yin ◽  
Hao Wang
Keyword(s):  
Water Resources ◽  
Mine Water ◽  
Water Demand ◽  
Optimal Allocation ◽  
Utilization Efficiency ◽  
Annual Rainfall ◽  
Allocation Model ◽  
Ecological Water Demand ◽  
Rainfall Forecast

Abstract Based on the mine water produced by mining, in order to improve the ecological environment, the optimal allocation of mine water resources is studied. In order to reduce the uncertainty of the calculation results of ecological water demand, the wolf colony algorithm neural network model is used for long-term rainfall forecast. Combined with the forecast annual rainfall, the ecological water demand is classified and calculated. The results show that the ecological water demand based on rainfall forecast can reduce the allocation of water resources in wet years to ecological aspects, so that the surplus water resources can be used in industries, irrigation and other aspects that can create economic benefits, and improve the utilization efficiency of water resources. The ecological allocation model of mine water based on long-term rainfall forecast can reduce the uncertainty of regional water resources allocation based on rainfall forecast, which has good guiding significance and practical value for the optimal allocation of water resources in arid and water shortage areas.

Rising ecosystem water demand exacerbates the lengthening of tropical dry seasons

2021 ◽  
Author(s):  
Hao Xu ◽  
Xu Lian ◽  
Ingrid Slette ◽  
Hui Yang ◽  
Yuan Zhang ◽  
...  
Keyword(s):  
Water Demand ◽  
Potential Evapotranspiration ◽  
Central Africa ◽  
Dry Season ◽  
Land Area ◽  
Key Factor ◽  
Dry Seasons ◽  
The Tropics ◽  
Factor Governing

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.

Long-term urban growth and water demand in Asia

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