Average Water Demand Research Articles

Determination of Average Water Demand and Diurnal Consumption Pattern for a Multifamily Apartment Complex in Peshawar

Abstract: Accurately estimating and understanding domestic water demand and consumption patterns is essential for the efficient planning and management of drinking water supply systems. Traditional methods for estimating water demand are labor-intensive and often rely on assumptions. To overcome these limitations, this study employed a novel approach using highprecision data loggers to monitor water levels continuously in rooftop tanks at 5-minute intervals within a residential apartment complex in Peshawar, Pakistan. The findings indicate that per capita water consumption varies between 97 and 209 liters per capita per day (lpcd), with an average consumption of 173 lpcd. This methodology offers enhanced accuracy in quantifying water usage, providing a robust alternative to conventional estimation techniques.

Avocado Water Footprint for Two Municipalities in Michoacán, Mexico: A Research of the Blue and Green WF

The Water Footprint (WF) is an indicator used to determine good practices for efficiently using water in human activities. This work evaluates the green (rainfed) and blue (irrigation) water footprint of avocado cultivation in the municipalities of Acuitzio (2012–2016) and Morelia (2016–2020) in Michoacán, Mexico. Likewise, the water stress of irrigation water use is analyzed, linking the blue WF with the volumes of concessions for agricultural use. The results revealed that the mean green WF for Acuitzio is 1292.49 m3/ton, and the mean blue WF is 689.23 m3/ton. In Morelia, the mean green WF is 582.97 m3/ton, and the mean blue WF is 711.74 m3/ton. The mean production of irrigated avocado in Acuitzio is 7963.62 (ton/year), and in Morelia, 8547.76 (ton/year), which allows us to project that, in Acuitzio, the avocado crop requires an annual mean of 5,046,610.69 m3, while the mean requirement in Morelia is 6,029,920.59 m3. The average volume of water for agricultural use in Acuitzio is 3,357,782.93 m3, while the average water demand is 149.27%. This situation shows water stress in this municipality since water consumption exceeds available water resources. For Morelia, the water available for agricultural use is 11,418,745.40 m3, and the average consumption of avocado as a crop is 53.18%, which can put the supply of this resource for other agricultural crops at risk.

Water for agriculture: more crop per drop.

Global crop production in agriculture depends on water availability. Future scenarios predict increasing occurrence of flash floods and rapidly developing droughts accompanied by heatwaves in humid regions that rely on rain-fed agriculture. It is challenging to maintain high crop yields, even in arid and drought-prone regions that depend on irrigation. The average water demand of crops varies significantly, depending on plant species, development stage, and climate. Most crops, such as maize and wheat, require relatively more water during the vegetative phase compared to the ripening phase. In this review, we explain WUE and options to improve water use and thus crop yield. Nutrient management might represent another possibility to manipulate water uptake and use by plants. An emerging topic involves agroforest co-cultivation, where trees in the system facilitate water transfer through hydraulic lift, benefiting neighbouring crops. Other options to enhance crop yield per water use are discussed.

Using a crop water stress index to determine water use efficiency in a raspberry crop in the Mediterranean Central Chile

AbstractWater availability is projected to decrease in Mediterranean Central Chile, necessitating sustainable production strategies based on improved irrigation management. This study focuses on estimating water use efficiency (WUE) in raspberry crops at two validation sites using remote sensing and soil irrigation data. By employing the crop water stress index (CWSI), we demonstrate the potential of this tool in enhancing irrigation management and establishing sustainable production practices. The results demonstrate the successful estimation of actual evapotranspiration (ETa) using the Operational Simplified Surface Energy Balance (SSEBop) model (coefficient of determination [R2] = 0.92; root mean square error [RMSE] = 0.97 mm day−1), while the CWSI indicated high stress levels after 5 days of irrigation. Moreover, validation at two sites reveals significant differences in applied irrigation, with sites A and B receiving 17,097 and 3760 m3 ha−1, respectively, while the average water demand is close to 5300 m3 ha−1. These variations result in discrepancies in WUE, with values of 0.79 and 3.64 kg m−3. By integrating remote sensing indices and soil data, this study proposes that maintaining an 85% ETa rate during noncritical periods can enhance WUE. This work demonstrates the potential use of a water stress index to monitor crops in the Chilean central zone for efficient water resource use under future scarcity scenarios.

Assessment of surface water resource and allocation optimization for diverse demands in Ethiopia's upper Bilate Watershed

Water planning and management is very crucial for all computing sectors for water uses to maximize the scarce and allocated water uses based on their demands sustainably in Ethiopia's upper Bilate watershed. The shortage of surface water, especially during dry months, has become a major point of contention between upstream and downstream water users in the upper Bilate River. Therefore, the key objectives of the study are to evaluate the surface water resources and determine the best distribution for a range of requirements in the watershed. The historical climatic and stream flow daily data for the period of 2010–2019 have been used for the analysis. Hydrologic Engineering Center Hydrologic Modeling System-Geospatial Hydrologic Modeling Extension with the Hydrologic Engineering Center Hydrologic Modeling System was used for rainfall-runoff analysis. The model output further represents that the yearly overall surface water of the watershed is 502 MC M. Estimated annual environmental requirement is 75.32MCM which is 15% of the average annual available flow in watershed. Current annual irrigation, livestock, and domestic water demand were estimated to be 19.34 MC M, 12.39 MC M, and 79.4 MC M, respectively. The net amount of water delivered was 19.25 MC M, 79.28 MC M, and 12.36 MC M for irrigation, domestic, and Livestock demands, respectively, in the reference scenario. In the currently available (reference) scenario, 99.8% of the water supply need had been fulfilled, yet only 0.2% of the requirements for water were unmet. Average annual water demand of 111.13 MC M in the current scenario growth to 176.08 MC M when the future growth scenario. In contrast, for the future irrigation development and population projections scenario, 69.8% of the supply-demand became acquainted, and 30.2% of the demand for water remained unfulfilled in 2035. Therefore, to realize good water availability for productive use and allocate water optimal manner constructing a hydraulic structure (dam) upstream of the watershed was recommended.

Troubled waters: Estimating the role of the power sector in future water scarcity crises

One of the effects of climate change is on freshwater availability. The widespread drought in the summer of 2022 impeded access to freshwater, putting into question the reliability of the current and future energy generation and evoking concerns of competition of different industries for water. In response to climate change, energy transition scenarios represent pathways to a more sustainable energy system, but often overlook the water footprint of the energy sector. Therefore, this study uses machine learning for the identification of thermal power plants’ cooling systems to estimate the water footprint of the current and future energy system using six energy transition scenarios. It is built on published data on thermal power plants announced globally, with a total capacity of 3277 GW, which are planned to be installed between 2020 and 2050. The results demonstrate that the water consumption of the global power sector may increase by up to 50% until 2050, compared to the 2020 level. The findings also emphasize that every new thermal power plant installed in the future will be associated with a higher average water demand per unit of generated electricity. Hence, the rising stress on water systems becomes another argument supporting the transition towards renewables.

Reclaimed water in Taiwan: current status and future prospects

According to the Taiwan Water Resources Agency, Ministry of Economic Affairs, the average water demand shortage is 530.6 million m3 yr−1 during the period of 2011 to 2019, and the situation will worsen in the near future due to global climate change. Therefore, reclaimed water has been an important new water source in Taiwan, particularly for industrial consumers such as high-tech industries in Science Parks. In order to meet the targeted reclaimed water supply of 1.32 million m3 d−1 (CMD) in 2031, Taiwan is focusing on two major reclaimed water sources, including reclaimed water from high water-consuming industries and municipal wastewater treatment plants. This report reviews current technologies used for reclaimed water including units for pretreatment, desalting, polishing, and reclamation. Case studies in Taiwan including reclaimed water from high water-consuming industries such as thin film transistor-liquid crystal display (TFT-LCD) and semiconductor industries, as well as from municipal wastewater treatment plants are presented. The TFT-LCD company Innolux and semiconductor company Advaned Semiconductor Engineering have implemented total recycled water system to recycle and reclaim wastewater from manufacturing processes, achieving a total recycled water of 290 million m3 yr−1 with about 97% recovery and 3.5 million m3 yr−1 with 80% recovery, respectively. The Fengshan reclaimed water treatment plant produces 40,436 CMD reclaimed water from municipal wastewater for the China Steel Cooperation’s steel-making processes, at an overall operation and maintenance cost of 11.5 NT dollars m−3. Meanwhile the Yongkang plant produces 15,500 CMD of reclaimed water for semiconductor and TFT-LCD manufacturing processes at an overall operation and maintenance costs of 25.8 NT dollars m−3, which is due to low urea and boron limits requested by the user. Finally, challenges and future prospects for promoting the use of reclaimed water to meet the targeted supply in 2031 will be discussed.

Assessment of water availability in the Sekampung Argoguruh Sub-Watershed for sustainable water management

In the Sekampung watershed, the Sekampung Argoguruh sub-watershed has been planned to be developed into one of the food barn regions, acting as a buffer for the nearby areas. This region is going to be converted from uncultivated to cultivated land in almost all parts. Given the recent developments in that area, it is necessary to determine if the water supply can fulfil the water demand for irrigation. Therefore, this study aims to evaluate the water supply-demand in the Sekampung Argoguruh sub-watershed in order to check the condition of long-term water resources for sustainable water management. In this study, the water supply was estimated by using National Rural Electric Cooperative Association (NRECA) method, while the amount of water required for agriculture and other uses in Sekampung Argoguruh sub-watershed were observed and calculated. The data analysis shows that the average water supply in the Sekampung Argoguruh sub-watershed is around 19.62 m3/s, whereas the average water demand for all activities in that region is roughly 11.65 m3/s. The situation of the water balance can be classified as excess based on the estimation findings, allowing water allocation to be done to satisfy demand.

Measuring the crop water demand and satisfied degree using remote sensing data and machine learning method in monsoon climatic region, India.

Supply of water is one of the most significant determinants of regional crop production and human food security. To promote sustainable management of agricultural water, the crop water requirement assessment (CropWRA) model was introduced as a tool for the assessment of satisfied degree of crop water requirements (CWR). Crop combination, water availability for agricultural production, water accessibility, and other indices were calculated considering the DEM, hydrological and climatic data, and crop properties for measuring the agricultural water requirement and satisfied degree in Bansloi River basin using the CropWRA model. Advanced machine learning model random forest was used to calculate the soil moisture considering the atmospheric variable, Landsat indices, and energy balance components for calculating the crop water satisfied degree and water requirement. The average crop water demand is 1.92m, and it ranges from 1.58 to 2.26m. The demand of crop water is more in the western part of the basin than the eastern part. The CropWSD (crop water satisfied degree) ranges from 17 to 116% due to variation in topography, river system, crop combination, land use, water uses, etc. The average crop water satisfied degree is 59%. About 71% of the total area is under 40% to 60% CropWSD level. CropWRA model can be applied for the sustainable water resource management, irrigation infrastructure development, and use of other modern technologies.

PROYEKSI KEBUTUHAN AIR DOMESTIK DAN PARIWISATA UNTUK PENGEMBANGAN WILAYAH DI LABUAN BAJO

Clean water is essential for the welfare of life and regional development. As one of the super-priority tourism destinations, Labuan Bajo continues to experience growth and infrastructure development to support tourism development. Regional development in Labuan Bajo, classified as a semi-arid area for tourism needs, can potentially cause a clean water crisis. Tourism often uses clean water, triggering social conflicts with local communities. This study aims to analyze and project domestic clean water needs and tourism water needs in Labuan Bajo. The method used in this research is a quantitative method with data collection instruments by literature studies, field observations, and distributing questionnaires to 261 respondents in the urban area of Labuan Bajo. The results showed that the domestic water demand in Labuan Bajo was 90,23 liters/day/person or greater than the reference standard for the Directorate General of Human Settlement and Water Resources regarding the average domestic water demand in small town areas. The need for clean water for tourism in 2028 is projected to exceed domestic water needs, namely the need for tourism water of 33.928.095 liters/day. Meanwhile, the domestic demand for clean water is only 23.545.368 liters/per day. The high demand for clean water is caused by the urbanization of the population and an increase in the number of tourists. However, the geographical conditions of Labuan Bajo in the form of an archipelago and classified as a semi-arid area can cause a decrease in the carrying capacity, requiring further research related to efforts to manage clean water.

Financial Feasibility of Harvesting Rainwater from Permeable Pavements: A Case Study in a City Square

The objective of this study was to carry out the financial feasibility analysis of harvesting rainwater from permeable pavements in a city square. A case study was carried out in a square close to the beach in the city of Florianópolis, Brazil. Questionnaires were applied to pedestrians who circulate within the area. The square is to be implemented to promote sustainability and improve the user’s quality of life. From the rainfall data and the average daily water demand for irrigation of the square vegetation, the volume of rainwater to be harvested from the permeable pavement was calculated. The rainwater demand was estimated as 662 L/day. The implementation and operation costs of the pavement and irrigation systems were evaluated. The potential for potable water savings was 89.8%. The payback period was estimated as 347 months. This study showed that rainwater collected from permeable pavements is financially feasible and represents a promising technique.

Perencanaan Sistem Jaringan Air Bersih Pada Daerah Juata Kecamatan Tarakan Utara

The development of Tarakan City, there is an increase in terms of growth, activity, and the number of population which is always closely related to the clean water, causing an increase in the need for clean water. The low level of clean water services for the North Tarakan area, which is 54,04%. This study aims to determine the projected need for clean water until 2030. Planning for the provision of clean water in the District of North Tarakan until 2030 with the help of the WaterCAD v8i program is in accordance with population growth and clean water needs. The results of the calculation of the average water demand in 2030 amounted to 51,8676 liters / second, the maximum daily requirement of 59,6477 liters / second, the total water demand obtained at peak hours in 2030 was 80,9135 liters / second. From the simulation results with the help of the WaterCAD V8i program that the piping network system can work well. This is based on the pressure at the junction 0,60-7,96 atm, Headloss Gradient 0-12,27 m / km, and the speed of 0,11-1,23 m / sec. These results are in accordance with planning requirements

Multivariate monthly water demand prediction using ensemble and gradient boosting machine learning techniques

Water management planning requires reliable and accurate water demand forecasting. Water demand prediction is affected by variables, such as climate, socio-economic, and demographic data. This paper investigates urban monthly average water demand prediction, using classical, ensemble, and gradient boosting-based machine learning models, using the available monthly water demand, climatic, economic, and demographic data. Three train-test data split schemes on water demand timeseries were considered to determine the effect of data size on water demand prediction. Sensitivity analysis was employed to reduce input feature dimensionality while maintaining model accuracy. A univariate timeseries (water demand only) produced R2 scores up to 0.91, which increased to 0.94 with the addition of calendar and climatic features. Increasing the training data size from 70% to 90% improved the RMSE and MAE scores by ensemble and gradient boosting methods, with the random forest and the AdaBoost models showing improvements of up to 69%. The sensitivity analysis revealed a successful input reduction scheme from a potential 17 input attributes to seven inputs. Gradient boosting models showed robust and faster execution time, especially with the increase in training data, which is attractive for medium-term urban water demand forecasting.

Evaluating the Degradation of Natural Resources in the Mediterranean Environment Using the Water and Land Resources Degradation Index, the Case of Crete Island

Natural resources degradation poses multiple challenges particularly to environmental and economic processes. It is usually difficult to identify the degree of degradation and the critical vulnerability values in the affected systems. Thus, among other tools, indices (composite indicators) may also describe these complex systems or phenomena. In this approach, the Water and Land Resources Degradation Index was applied to the fifth largest Mediterranean island, Crete, for the 1999–2014 period. The Water and Land Resources Degradation Index uses 11 water and soil resources related indicators: Aridity Index, Water Demand, Drought Impacts, Drought Resistance Water Resources Infrastructure, Land Use Intensity, Soil Parent Material, Plant Cover, Rainfall, Slope, and Soil Texture. The aim is to identify the sensitive areas to degradation due to anthropogenic interventions and natural processes, as well as their vulnerability status. The results for Crete Island indicate that prolonged water resources shortages due to low average precipitation values or high water demand (especially in the agricultural sector), may significantly affect Water and Land degradation processes. Hence, Water and Land Resources Degradation Index could serve as an extra tool to assist policymakers to improve their decisions to combat Natural Resources degradation.

Analysis of the Water Demand-Supply Gap and Scarcity Index in Lower Amu Darya River Basin, Central Asia.

Lower reaches of the Amu Darya River Basin (LADB) is one of the typical regions which is facing the problem of water shortage in Central Asia. During the past decades, water resources demand far exceeds that supplied by the mainstream of the Amu Darya River, and has resulted in a continuous decrease in the amount of water flowing into the Aral Sea. Clarifying the dynamic relationship between the water supply and demand is important for the optimal allocation and sustainable management of regional water resources. In this study, the relationship and its variations between the water supply and demand in the LADB from the 1970s to 2010s were analyzed by detailed calculation of multi-users water demand and multi-sources water supply, and the water scarcity indices were used for evaluating the status of water resources utilization. The results indicated that (1) during the past 50 years, the average total water supply (TWS) was 271.88 × 108 m3/y, and the average total water demand (TWD) was 467.85 × 108 m3/y; both the volume of water supply and demand was decreased in the LADB, with rates of −1.87 × 108 m3/y and −15.59 × 108 m3/y. (2) percentages of the rainfall in TWS were increased due to the decrease of inflow from the Amu Darya River; percentage of agriculture water demand was increased obviously, from 11.04% in the 1970s to 44.34% in 2010s, and the water demand from ecological sector reduced because of the Aral Sea shrinking. (3) the supply and demand of water resources of the LADB were generally in an unbalanced state, and water demand exceeded water supply except in the 2010s; the water scarcity index decreased from 2.69 to 0.94, indicating the status changed from awful to serious water scarcity. A vulnerable balanced state has been reached in the region, and that water shortages remain serious in the future, which requires special attention to the decision-makers of the authority.

Water demand management at rural area using Micro-Component Analysis: a case study at Kenyir Lake, Malaysia

Water is one of the cornerstones in human survival and a necessity for socio-economic development. Due to that, effective management of water demand especially in the rural area becomes vital. The objective of this study is to conduct a water demand study at Kenyir Lake, Terengganu using Micro-Component Analysis (MCA). Water demand is also being assessed using National Water Services Commissions (SPAN) Guidelines, parallel to water guidelines applied for Malaysia’s building and comparison purposes. MCA considers detailed parameters of water use activities of the respective study area, whereas SPAN Guidelines use the fixed values of average daily water demand according to the type of building. The available dataset was interpreted using MCA and SPAN Guidelines, resulting in total daily water demand at Kenyir Lake of 1249.8 m3 and 1254.1 m3 respectively. Estimated water demand using SPAN Guidelines is found to be higher than MCA. The value differences occur due to the average water demand value in the guideline that is limited to a specific type of premises and does not comply with premises there. The estimated water demand can be adopted as a baseline for water companies and the government to improve the demand and supply of water.

Assessment of crop water requirement of field pea (Pisum sativum L.) in foothills valley areas of Manipur, North East India

The purpose of this study was to assess the evapotranspiration in field pea (Pisum sativum L.) in foothills valley areas of Manipur using the Hargreaves-Samani equation to predict the plant water demand. The crop coefficient (Kc) values ranged between 0.45 and 1.28 during the crop growth stages of field pea for the five crop seasons (2013-18). The average five-year effective rainfall was estimated to be 59.0 mm, with standard deviation (SD±) ranging between 4.4 to 35.1 mm. The average crop water requirement for field pea was estimated to be 221.0 mm and the average water demand for different crop growth stages of field pea was estimated to be 20.0 mm (initial stage), 52.0 mm (development stage), 100.0 mm (mid-season) and 49.0 mm (late season). Thus, the information generated may help in effective management of crop water requirements for sustainable crop production including field pea in the region.

Current and Future Potable Water Demand and Supply at the Federal University of Technology, Akure, Nigeria

This study is aimed at assessing current and future potable water demand and supply at the Federal University of Technology, Akure (FUTA), Nigeria. The only source of water to the University community is ground water extracted through boreholes constructed at different locations in the University. Eighteen (18) storage and distribution reservoirs were assessed to assess their capacity to adequately supply water for the present and future population of students and staff within the institution. FUTA had a population of 28,419 in 2019, the staff made up 9.16% of the total population while the students constituted the remaining 90.84%. A 30-year population projection was made for both staff and students using the geometric increase method of population forecasting. The study revealed that the population of FUTA will grow to 62,280 persons in 2049 from 28,419 in 2019 assuming a constant growth rate of 2.65% while the current average daily water demand of the University community is 1,475.83 m3/day. The current yield of water from the boreholes in FUTA is 1,198.07 m3/day which is not sufficient to meet the daily water demands of the University community. The maximum possible yield from the boreholes is 2,443.68 m3/day under normal conditions involving stable power supply and adequate personnel. Furthermore, it is projected that by the year 2049, the average daily water demand of the University community would be 2,995.74 m3/day. The outcome of this study revealed that there is water shortage in FUTA and the situation would worsen as the years go by if adequate measures are not put in place. The construction of a dam and water treatment plant is recommended to meet the increasing water demands occasioned by increase in population .Keywords – Potable, water, demand, supply, boreholes

Efektivitas Ketersediaan Air Irigasi untuk Kebutuhan Air Tanaman Padi Di Desa Senaro Kecamatan Purwodadi Kabupaten Musi Rawas

The Availability of water for irrigation purposes can be broadly divided into two types, namely the availability of water in the land and availability of water in take buildings. The availability of irrigation water both on land and in buildings is expected to meet the need of making irrigation water needed in irrigation areas were reviewed in accordance with its area and cropping patterns that exist. The research done is to calculate the availability of irrigation water, the water requirement of rice plants and distribution efficiency. To calculate availability and water requirements of rice plants needed data as a reference, namely data from the Meteorology and Geophysics Musi rawas district , while to analyze the efficiency of distribution used discharge data measured by the method of floating then compared the results of discharge at the beginning and the discharge end of the channel. The results of calculations and measurements, availability of water in the Senaro Village can be fulfilled It can be seen from the average availability, in the first planting season (September to Januari) average of 0,92 m3/sec with an average water demand for -0,04 m3/sec and the second planting season (Januari toMei) average of 0,47 m3/sec with an average water demand of 0,04m3/sec. As for the value of the efficiency of each tertiary channel in Senaro village is 1-4m ka has efficiency values of 91%, 2-4m ka has efficiency values of 86% ,3-4m ka has efficiency values of 74% 4-4m ka has efficiency value of 64%. 5-4m ka has efficiency value of 72%. Â Keywords : Availability of Water Irrigation, Water Supplies, Efficiency Distribution

Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region

Jute mallow (Corchorus olitorius L.) is an annual crop grown for human consumption of its nutritious leaves in many regions of the world. Despite its importance for household food security and farmers’ income, reliable information on the crop’s water requirements is still quite scarce. To overcome this knowledge gap, the irrigation needs of jute mallow grown in the Akkar region in Syria were investigated. The analysis focused on a three-year period (2017–2019) where the SIMDualKc model was calibrated and validated for simulating soil water contents and computing the soil water balance in jute mallow plots irrigated with basin and drip methods. The model was further used to determine the probabilities of the demand for irrigation water in scenarios considering different crop season lengths, irrigation methods, and application depths over a longer period of 23 years (1998–2020). The SIMDualKc model was able to simulate soil water contents measured in the field plots, returning root mean square error values lower than 0.001 m3 m-3 and modeling efficiencies ranging from 0.358 to 0.812. The calibrated basal (non-stressed) crop coefficients (Kcb) were 0.15, 0.95, and 0.95 for the initial (Kcb ini), mid-season (Kcb mid), and end-season (Kcb end) stages, respectively. The crop was harvested twice per season, with the drip treatments presenting the highest water productivity and economic indicators. In contrast, the basin treatment resulted in substantial percolation losses, which affected yields and indicators. Although net irrigation requirements showed a large variation for the extremes of the long-term weather time series, differences between the years representing average water demand and those representing very high water demand were only found for the drip irrigation scenarios. This study contributes to improving irrigation water management of jute mallow in the Syrian Akkar region, and for the sustainability of local production systems.