scholarly journals Hydrological Restoration and Water Resource Management of Siberian Crane (Grus leucogeranus) Stopover Wetlands

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1714 ◽  
Author(s):  
Haibo Jiang ◽  
Chunguang He ◽  
Wenbo Luo ◽  
Haijun Yang ◽  
Lianxi Sheng ◽  
...  
Keyword(s):  
Resource Management ◽  
Water Supply ◽  
Water Resource ◽  
Water Demand ◽  
Water Resource Management ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Siberian Crane ◽  
Ecological Water Demand

Habitat loss is a key factor affecting Siberian crane stopovers. The accurate calculation of water supply and effective water resource management schemes plays an important role in stopover habitat restoration for the Siberian crane. In this paper, the ecological water demand was calculated and corrected by developing a three-dimensional model. The results indicated that the calculated minimum and optimum ecological water demand values for the Siberian crane were 2.47 × 108 m3~3.66 × 108 m3 and 4.96 × 108 m3~10.36 × 108 m3, respectively, in the study area. After correction with the three-dimensional model, the minimum and optimum ecological water demand values were 3.75 × 108 m3 and 5.21 × 108 m3, respectively. A water resource management scheme was established to restore Siberian crane habitat. Continuous, area-specific and simulated flood water supply options based on water diversions were used to supply water. The autumn is the best season for area-specific and simulating flood water supply. These results can serve as a reference for protecting other waterbirds and restoring wetlands in semi-arid areas.

Nanotechnology application in water resource management

2021 ◽  
pp. 33-62
Author(s):  
Arezoo Boroomandnia ◽  
Omid Bozorg-Haddad ◽  
Jimmy Yu ◽  
Mariam Darestani
Keyword(s):  
Resource Management ◽  
Water Resources ◽  
Water Supply ◽  
Case Studies ◽  
Water Resource ◽  
Water Demand ◽  
Water Resource Management ◽  
Management Strategies ◽  
Water Supply Systems ◽  
Supply Systems

Abstract Fast-growing water demand, population growth, global climate change, and water quality deterioration all drive scientists to apply novel approaches to water resource management. Nanotechnology is one of the state-of-the-art tools in scientists’ hands which they can use to meet human water needs via reuse of water and utilizing unconventional water resources. Additionally, monitoring water supply systems using new nanomaterials provides more efficient water distribution networks. In this chapter, we consider the generic concepts of nanotechnology and its effects on water resources management strategies. A wide range of nanomaterials and nanotechnologies, including nano-adsorbents, nano-photocatalysts, and nano-membranes, are introduced to explain the role of nanotechnology in providing new water resources to meet growing demand. Also, nanomaterial application as a water alternative in industry, reducing water demand in the industrial sector, is presented. Another revolution made by nanomaterials, also discussed in this chapter, is their use in water supply systems for monitoring probable leakage and leakage reduction. Finally, we present case studies that clarify the influence of nanotechnology on water resources and their management strategies. These case studies prove the importance and inevitable application of nanotechnology to satisfy the rising water demand in the modern world, and show the necessity of nanotechnology awareness for today's water experts.

scholarly journals On inclusion of water resource management in Earth system models – Part 1: Problem definition and representation of water demand

2015 ◽  
Vol 19 (1) ◽  
pp. 33-61 ◽  
Author(s):  
A. Nazemi ◽  
H. S. Wheater
Keyword(s):  
Resource Management ◽  
Water Supply ◽  
Water Resource ◽  
Water Demand ◽  
Water Resource Management ◽  
Large Scale ◽  
Earth System ◽  
Water Demands ◽  
Scale Models ◽  
Earth System Models

Abstract. Human activities have caused various changes to the Earth system, and hence the interconnections between human activities and the Earth system should be recognized and reflected in models that simulate Earth system processes. One key anthropogenic activity is water resource management, which determines the dynamics of human–water interactions in time and space and controls human livelihoods and economy, including energy and food production. There are immediate needs to include water resource management in Earth system models. First, the extent of human water requirements is increasing rapidly at the global scale and it is crucial to analyze the possible imbalance between water demands and supply under various scenarios of climate change and across various temporal and spatial scales. Second, recent observations show that human–water interactions, manifested through water resource management, can substantially alter the terrestrial water cycle, affect land–atmospheric feedbacks and may further interact with climate and contribute to sea-level change. Due to the importance of water resource management in determining the future of the global water and climate cycles, the World Climate Research Program's Global Energy and Water Exchanges project (WRCP-GEWEX) has recently identified gaps in describing human–water interactions as one of the grand challenges in Earth system modeling (GEWEX, 2012). Here, we divide water resource management into two interdependent elements, related firstly to water demand and secondly to water supply and allocation. In this paper, we survey the current literature on how various components of water demand have been included in large-scale models, in particular land surface and global hydrological models. Issues of water supply and allocation are addressed in a companion paper. The available algorithms to represent the dominant demands are classified based on the demand type, mode of simulation and underlying modeling assumptions. We discuss the pros and cons of available algorithms, address various sources of uncertainty and highlight limitations in current applications. We conclude that current capability of large-scale models to represent human water demands is rather limited, particularly with respect to future projections and coupled land–atmospheric simulations. To fill these gaps, the available models, algorithms and data for representing various water demands should be systematically tested, intercompared and improved. In particular, human water demands should be considered in conjunction with water supply and allocation, particularly in the face of water scarcity and unknown future climate.

scholarly journals Analysis of drought characteristics for improved understanding of a water resource system

2014 ◽  
Vol 364 ◽  
pp. 404-409 ◽  
Author(s):  
A. T. Lennard ◽  
N. Macdonald ◽  
J. Hooke
Keyword(s):  
Resource Management ◽  
Water Supply ◽  
Water Resource ◽  
Water Resource Management ◽  
Drought Indices ◽  
Drought Severity ◽  
Small Scale ◽  
Water Resource System ◽  
Drought Characteristics ◽  
Standardised Precipitation Index

Abstract. Droughts are a reoccurring feature of the UK climate; recent drought events (2004–2006 and 2010–2012) have highlighted the UK’s continued vulnerability to this hazard. There is a need for further understanding of extreme events, particularly from a water resource perspective. A number of drought indices are available, which can help to improve our understanding of drought characteristics such as frequency, severity and duration. However, at present little of this is applied to water resource management in the water supply sector. Improved understanding of drought characteristics using indices can inform water resource management plans and enhance future drought resilience. This study applies the standardised precipitation index (SPI) to a series of rainfall records (1962–2012) across the water supply region of a single utility provider. Key droughts within this period are analysed to develop an understanding of the meteorological characteristics that lead to, exist during and terminate drought events. The results of this analysis highlight how drought severity and duration can vary across a small-scale water supply region, indicating that the spatial coherence of drought events cannot be assumed.

scholarly journals A quasi three dimensional model of water flow in the subsurface of Milano (Italy): the stationary flow

2000 ◽  
Vol 4 (1) ◽  
pp. 113-124 ◽  
Author(s):  
M. Giudici ◽  
L. Foglia ◽  
G. Parravicini ◽  
G. Ponzini ◽  
B. Sincich
Keyword(s):  
Water Table ◽  
Water Demand ◽  
Three Dimensional ◽  
Stationary Flow ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Predictive Tool ◽  
Aquifer System ◽  
Conservative Finite Difference Scheme ◽  
Comparison Of The Results

Abstract. A quasi three-dimensional model is developed to simulate the behaviour of the aquifer system which is the resource of drinkable water for the town of Milano (Italy). Non continuous semipermeable layers locally separate permeable levels in a multilayered system, consisting of a phreatic and three confined aquifers. The numerical model is a conservative finite difference scheme based on the discretisation of the water balance equation for stationary flow. The grid spacing is 500 m and has been chosen, taking into account the distribution of the data in an area of about 400 km2. The model has been calibrated with a "trial and error" procedure, by comparison of the results of the model with the observations for three years (1950, 1974 and 1982) which correspond to different flow situations. Once calibrated, the model has been used as a predictive tool, to forecast the behaviour of the aquifer system for other years of the 20th century; the comparison between the model forecasts and observations is good. The model is capable of describing both the strong drawdown of the water table in the 1970s, when the water demand for domestic and industrial needs was very high, and the rise of the water table in the 1990s, when water extraction decreased. The results of the model confirm that the phreatic level is controlled largely by the local extraction of water; moreover, the aquifer system reacts to an increasing water demand with a small increase of the inflow and with a strong decrease of the outflow from its boundaries.

scholarly journals On inclusion of water resource management in Earth System models – Part 1: Problem definition and representation of water demand

2014 ◽  
Vol 11 (7) ◽  
pp. 8239-8298 ◽  
Author(s):  
A. Nazemi ◽  
H. S. Wheater
Keyword(s):  
Resource Management ◽  
Water Resource ◽  
Water Demand ◽  
Water Resource Management ◽  
Large Scale ◽  
Earth System ◽  
Water Demands ◽  
The Earth ◽  
Scale Models ◽  
Earth System Models

Abstract. Human activities have caused various changes in the Earth System, and hence, the interconnections between humans and the Earth System should be recognized and reflected in models that simulate the Earth System processes. One key anthropogenic activity is water resource management that determines the dynamics of human–water interactions in time and space. There are various reasons to include water resource management in Earth System models. First, the extent of human water requirements is increasing rapidly at the global scale and it is crucial to analyze the possible imbalance between water demands and supply under various scenarios of climate change and across various temporal and spatial scales. Second, recent observations show that human–water interactions, manifested through water resource management, can substantially alter the terrestrial water cycle, affect land-atmospheric feedbacks and may further interact with climate and contribute to sea-level change. Here, we divide the water resource management into two interdependent elements, related to water demand as well as water supply and allocation. In this paper, we survey the current literature on how various water demands have been included in large-scale models, including Land Surface Schemes and Global Hydrological Models. The available algorithms are classified based on the type of demand, mode of simulation and underlying modeling assumptions. We discuss the pros and cons of available algorithms, address various sources of uncertainty and highlight limitations in current applications. We conclude that current capability of large-scale models in terms of representing human water demands is rather limited, particularly with respect to future projections and online simulations. We argue that current limitations in simulating various human demands and their impact on the Earth System are mainly due to the uncertainties in data support, demand algorithms and large-scale models. To fill these gaps, the available models, algorithms and data for representing various water demands should be systematically tested, intercompared and improved and human water demands should be considered in conjunction with water supply and allocation, particularly in the face of water scarcity and unknown future climate.

scholarly journals Water Allocation Based on Economic Criteria Using Aquarius Model (A Case Study in Ambang-Brantas subbasin, Indonesia)

Agromet ◽  
2017 ◽  
Vol 31 (2) ◽  
pp. 89
Author(s):  
I Putu Santikayasa ◽  
. Agis ◽  
Siti Maesaroh
Keyword(s):  
Resource Management ◽  
Water Resource ◽  
Water Availability ◽  
Water Demand ◽  
Water Allocation ◽  
Water Resource Management ◽  
Agricultural Sector ◽  
Economic Approach ◽  
Water Users ◽  
Promising Tool

<p>The use of economic approach on water allocation are inclusively becoming integrated on water resource management. Competing among water users is expected to escalate due to increasing water demand despite of limited water availability. This research used economic approach aiming to optimize water allocation in Ambang-Brantas subbasin, Malang, and to calculate the total benefit for different sectors of allocated water. We distinguished two scenarios (2012–2015 and 2016–2035) to reflect the existing and the future water allocation. We modelled the water allocation with the Aquarious application. In this subbasin, three main sectors of water users were identified i.e. domestic, agriculture, and industries. The results showed that the agricultural sector was the highest water demand compared to other sectors. This finding was consistent both monthly and annually. Our findings revealed that industries sector show the maximum benefit per unit water used. Based on the scenario, either a decreasing water availability by 10% or an increasing water demand by 10% will decline the total benefit by 44%. If we increase the scenario to 20% it will reduce the total benefit until 71%. This modelling exercise using Aquarius application shows that the model is a promising tool for water resource management with integration of economic approach.</p>

scholarly journals Dynamic simulation of water resource management focused on water allocation and water reclamation in Chinese mining cities

Water Policy ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 844-861 ◽  
Author(s):  
Wenlan Ke ◽  
Yalin Lei ◽  
Jinghua Sha ◽  
Guofeng Zhang ◽  
Jingjing Yan ◽  
...  
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Economic Development ◽  
Resource Management ◽  
Water Supply ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Reclamation ◽  
Water Quality Control

Mining cities have undergone the process of extensive exploitation, which always results in a series of water issues. Integrated water resource management is necessary in improving water supply, allocation and quality without damaging economic development. This article constructs a linear optimization model including a ‘Top-Down’ socio-economic mode, and ‘Bottom-Up’ water quality control and water supply–demand modes with integrated water resource management focused on water allocation and water reclamation. Based on computer simulation, the model can propose a water resource management under the constraints of water supply–demand and water quality control, and the model can precisely predict the influences of water resource management on economic development, water utilization and water quality. Taking Ordos, a Chinese national resource city, as a case study, this model addresses a detailed water resource management, including a water allocation plan among industries and water reclamation plan with technologies, selection, arrangement and subsidies. The implementation of water resource management can fulfill multiple objectives on water quantity, water quality and sustainable economic development. This study indicates that water resource management with a comprehensive dynamic model can be a maneuverable approach to realize the sustainable development of economic growth and water resource utilization, as well as formulate the regional development plan.

scholarly journals A Water Evaluation and Planning-based framework for the long-term prediction of urban water demand and supply

SIMULATION ◽  
2021 ◽  
pp. 003754972098425
Author(s):  
Arfa Saleem ◽  
Imran Mahmood ◽  
Hessam Sarjoughian ◽  
Hasan Arshad Nasir ◽  
Asad Waqar Malik
Keyword(s):  
Resource Management ◽  
Water Resource ◽  
Water Demand ◽  
Water Resource Management ◽  
Resource Scarcity ◽  
Urban Setting ◽  
Planning System ◽  
Urban Water ◽  
Rapid Urbanization ◽  
Water Evaluation And Planning

Increased usage and non-efficient management of limited resources has created the risk of water resource scarcity. Due to climate change, urbanization, and lack of effective water resource management, countries like Pakistan are facing difficulties coping with the increasing water demand. Rapid urbanization and non-resilient infrastructures are the key barriers in sustainable urban water resource management. Therefore, there is an urgent need to address the challenges of urban water management through effective means. We propose a workflow for the modeling and simulation of sustainable urban water resource management and develop an integrated framework for the evaluation and planning of water resources in a typical urban setting. The proposed framework uses the Water Evaluation and Planning system to evaluate current and future water demand and the supply gap. Our simulation scenarios demonstrate that the demand–supply gap can effectively be dealt with by dynamic resource allocation, in the presence of assumptions, for example, those related to population and demand variation with the change of weather, and thus work as a tool for informed decisions for supply management. In the first scenario, 23% yearly water demand is reduced, while in the second scenario, no unmet demand is observed due to the 21% increase in supply delivered. Similarly, the overall demand is fulfilled through 23% decrease in water demand using water conservation. Demand-side management not only reduces the water usage in demand sites but also helps to save money, and preserve the environment. Our framework coupled with a visualization dashboard deployed in the water resource management department of a metropolitan area can assist in water planning and effective governance.

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