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"water demand"
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Nonsustainable groundwater sustaining irrigation: A global assessment
Water used by irrigated crops is obtained from three sources: local precipitation contributing to soil moisture available for root water uptake (i.e., green water), irrigation water taken from rivers, lakes, reservoirs, wetlands, and renewable groundwater (i.e., blue water), and irrigation water ed from nonrenewable groundwater and nonlocal water resources. Here we quantify globally the amount of nonrenewable or nonsustainable groundwater ion to sustain current irrigation practice. We use the global hydrological model PCR‐GLOBWB to simulate gross crop water demand for irrigated crops and available blue and green water to meet this demand. We downscale country statistics of groundwater ion by considering the part of net total water demand that cannot be met by surface freshwater. We subsequently confront these with simulated groundwater recharge, including return flow from irrigation to estimate nonrenewable groundwater ion. Results show that nonrenewable groundwater ion contributes approximately 20% to the global gross irrigation water demand for the year 2000. The contribution of nonrenewable groundwater ion to irrigation is largest in India (68 km3 yr−1) followed by Pakistan (35 km3 yr−1), the United States (30 km3 yr−1), Iran (20 km3 yr−1), China (20 km3 yr−1), Mexico (10 km3 yr−1), and Saudi Arabia (10 km3 yr−1). Results also show that globally, this contribution more than tripled from 75 to 234 km3 yr−1 over the period 1960–2000. Key Points Global assessment of non‐sustainable groundwater ion for irrigation Non‐sustainable groundwater globally contributes 20% to irrigation Increasing dependency on non‐sustainable groundwater in recent years
Journal Article
The water sensitive city
\"This book advocates a more thoughtful approach to urban water management. The approach involves reducing water consumption, harvesting rainwater, recycling rainwater and adopting Sustainable Drainage Systems (SuDS) where surface water is not sent straight to drains but is intercepted by features like green roofs, rain gardens, swales and ponds.Cities in particular need to change the existing linear model of water consumption and use to a more circular one in order to survive. The Water Sensitive City brings together the various specialised technical discussions that have been continuing for some time into a volume that is more accessible to designers (engineers and architects), urban planners and managers, and policymakers\"-- Provided by publisher.
Book
Effective management of urban water resources under various climate scenarios in semiarid mediterranean areas
Climate change has a significant impact on water resources, making it essential to re-evaluate water management strategies and incorporate climate scenarios in assessments. The Municipal Department of Aigeiros is located in the northern part of Greece. Water consumption is high in Aigeiros and the increased future temperatures projected during the summer period will create significant pressures on water resources. The water resources management study of the region is carried out using the simulations of the RCA4 Regional Climate Model (RCM) driven by the HadGEM-ES global climate model of the Met Office Hadley Centre (MOHC) under 3 different climate emission scenarios, namely RCP 2.6, RCP 4.5 and RCP 8.5. For the simulation of the urban water balance of Aigeiros, Komotini, Greece and the assessment of water demand and supply for three climate scenarios (RCP 2.6, 4.5, and 8.5) over a 30-year period, the Aquacycle software was used. The data used in the assessment included projected climatic conditions for the area (i.e., precipitation and evapotranspiration), domestic water consumption, and natural and spatial characteristics. The results indicate that drinking water demand is likely to increase in the coming decades for RCP 4.5 (1323 m
3
/d for 2041–2050) and RCP 8.5 (1330 m
3
/d for 2041–2050) scenarios compared to 2020 (1320 m
3
/d). However, simulations for water supply suggest an increase in groundwater recharge in the future, but also the potential for long drought periods during summer months in RCP 4.5 and RCP 8.5 scenarios. The simulation results show both the current situation and the climate scenarios and can be the reference basis for recording the different types of water consumption in urban areas. Therefore, it is possible to control and predict how much of the total consumption is due to the consumer usage profile within a household or to the irrigation needs of green areas in line with the climatic conditions, consumer behavior and technical parameters.
Journal Article
Suprarural : architectural atlas of rural protocols of the American Midwest and the Argentine Pampas
The Atlas of rural protocols in the American Midwest and the Argentine Pampas is structured along eight systems of organization: transport and infrastructure, land subdivision, agricultural production, water management, storage and maintenance, human habitation, animal management, land management. Each of these systems possesses a number of organizational types, material components, normative relationships, and spectra of performance, which become available through a manual of instructions for a Suprarural architectural environment. The research is based on a realistic-overriding ethics towards design that operates by abstracting and intensifying unexplored territorial phenomena.
Book
Dynamic Pricing Framework for Water Demand Management Using Advanced Metering Infrastructure Data
This research investigates dynamic pricing as a demand management tool to reduce cost and increase the lifespan of water distribution systems by reducing peak hour demand. Individual consumer responses to changes in hourly water price are simulated using advanced metering infrastructure (AMI) data. Demand profiles are used as input to a hydraulic simulation model to evaluate the effects of changing demands on flows and in‐network metrics. The framework is applied to Lakewood City, California, using a model of the pipe network and AMI data collected at nearly 20,000 accounts. Four dynamic pricing policies are applied to the model to show that reductions in morning peak demand ranging from 6% to 25% reduce peak energy demands up to 14%. These small changes in overall energy demand, up to a 1.7% reduction, lead to relatively larger overall reductions in energy cost, up to 5.5%. The results demonstrate the importance of dynamic pricing as a demand‐side strategy for infrastructure management and highlight the potential to accommodate demand growth without additional infrastructure investments. Key Points A dynamic pricing strategy for water can lower peak water demands, peak energy, and energy cost of water distribution systems Advanced metering infrastructure data and hydraulic models are used to apply and assess dynamic pricing models Potential growth in water demand can be accommodated by existing infrastructure capacity through dynamic pricing
Journal Article
The potential for snow to supply human water demand in the present and future
Runoff from snowmelt is regarded as a vital water source for people and ecosystems throughout the Northern Hemisphere (NH). Numerous studies point to the threat global warming poses to the timing and magnitude of snow accumulation and melt. But analyses focused on snow supply do not show where changes to snowmelt runoff are likely to present the most pressing adaptation challenges, given sub-annual patterns of human water consumption and water availability from rainfall. We identify the NH basins where present spring and summer snowmelt has the greatest potential to supply the human water demand that would otherwise be unmet by instantaneous rainfall runoff. Using a multi-model ensemble of climate change projections, we find that these basins-which together have a present population of ∼2 billion people-are exposed to a 67% risk of decreased snow supply this coming century. Further, in the multi-model mean, 68 basins (with a present population of >300 million people) transition from having sufficient rainfall runoff to meet all present human water demand to having insufficient rainfall runoff. However, internal climate variability creates irreducible uncertainty in the projected future trends in snow resource potential, with about 90% of snow-sensitive basins showing potential for either increases or decreases over the near-term decades. Our results emphasize the importance of snow for fulfilling human water demand in many NH basins, and highlight the need to account for the full range of internal climate variability in developing robust climate risk management decisions.
Journal Article
Urban water demand modeling: Review of concepts, methods, and organizing principles
In this paper, we use a theoretical framework of coupled human and natural systems to review the methodological advances in urban water demand modeling over the past 3 decades. The goal of this review is to quantify the capacity of increasingly complex modeling techniques to account for complex human and natural processes, uncertainty, and resilience across spatial and temporal scales. This review begins with coupled human and natural systems theory and situates urban water demand within this framework. The second section reviews urban water demand literature and summarizes methodological advances in relation to four central themes: (1) interactions within and across multiple spatial and temporal scales, (2) acknowledgment and quantification of uncertainty, (3) identification of thresholds, nonlinear system response, and the consequences for resilience, and (4) the transition from simple statistical modeling to fully integrated dynamic modeling. This review will show that increasingly effective models have resulted from technological advances in spatial science and innovations in statistical methods. These models provide unbiased, accurate estimates of the determinants of urban water demand at increasingly fine spatial and temporal resolution. Dynamic models capable of incorporating alternative future scenarios and local stochastic analysis are leading a trend away from deterministic prediction. Key Points Literature on urban water demand increased substantially in recent years New geospatial analysis provides unbiased estimates of model parameters Dynamic models incorporate scenarios and local analysis into demand models
Journal Article
A Critical Review of Short-Term Water Demand Forecasting Tools—What Method Should I Use?
The challenge for city authorities goes beyond managing growing cities, since as cities develop, their exposure to climate change effects also increases. In this scenario, urban water supply is under unprecedented pressure, and the sustainable management of the water demand, in terms of practices including economic, social, environmental, production, and other fields, is becoming a must for utility managers and policy makers. To help tackle these challenges, this paper presents a well-timed review of predictive methods for short-term water demand. For this purpose, over 100 articles were selected from the articles published in water demand forecasting from 2010 to 2021 and classified upon the methods they use. In principle, the results show that traditional time series methods and artificial neural networks are among the most widely used methods in the literature, used in 25% and 20% of the articles in this review. However, the ultimate goal of the current work goes further, providing a comprehensive guideline for engineers and practitioners on selecting a forecasting method to use among the plethora of available options. The overall document results in an innovative reference tool, ready to support demand-informed decision making for disruptive technologies such as those coming from the Internet of Things and cyber–physical systems, as well as from the use of digital twin models of water infrastructure. On top of this, this paper includes a thorough review of how sustainable management objectives have evolved in a new era of technological developments, transforming data acquisition and treatment.
Journal Article
The Role of Water Demand and Paleo Streamflow in Advancing Reservoir Drought Risk Analysis
Effective water demand management is critical for adaptation during drought periods. However, drought planning is challenged by the lack of rigorous water demand‐integrated measures and the limited number of drought event samples based on instrumental data. We propose a Normalized Reservoir Drought Index (NRDI) and associated drought event metrics that can inform reservoir operations. Using NRDI, we analyzed the effectiveness of demand management and paleo streamflow data in assessing drought risks—the exposure related to meeting water demands during certain drought events. We explored reservoir drought risk analysis using data from seven reservoirs in the western United States. The NRDI was derived from inflow and estimated water demand and subsequently compared to observed reservoir storage. The NRDI and event metrics demonstrated responsiveness to observed storage. Comparative analysis of drought risk using paleo and instrumental inflow highlighted the importance of paleo inflow, providing larger drought event samples and broader extreme ranges. Sensitivity of drought risks was quantified under varying demand conditions. As expected, the sensitivity was more significant in extreme events than moderate events. This paper provides an effective and robust measure for reservoir managers to manage water releases during drought periods and a valuable tool to assess reservoir risk to drought by considering natural variability more broadly, and providing a deeper understanding on the sensitivity of drought risk to demand alterations.
Journal Article