Sustainable In-Situ Water Resource Management Strategies in Water Scarce Urban Environment: A Case Study of Sino-Singapore Tianjin Eco City

2011 ◽  
Author(s):  
Chengyao Peng ◽  
Shuying Wang ◽  
Jie Zhang ◽  
Chin Chong Lim ◽  
Lin Kah Ooi
Keyword(s):  
Resource Management ◽  
Urban Environment ◽  
Water Resource ◽  
Water Resource Management ◽  
Management Strategies ◽  
Water Scarce

scholarly journals System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 671
Author(s):  
Xiaoying Zhou ◽  
Feier Wang ◽  
Kuan Huang ◽  
Huichun Zhang ◽  
Jie Yu ◽  
...  
Keyword(s):  
Resource Management ◽  
System Dynamics ◽  
Water Resource ◽  
Water Allocation ◽  
Water Resource Management ◽  
Water Shortage ◽  
Multiple Objective ◽  
Multiple Objective Optimization ◽  
Model Framework

Predicting and allocating water resources have become important tasks in water resource management. System dynamics and optimal planning models are widely applied to solve individual problems, but are seldom combined in studies. In this work, we developed a framework involving a system dynamics-multiple objective optimization (SD-MOO) model, which integrated the functions of simulation, policy control, and water allocation, and applied it to a case study of water management in Jiaxing, China to demonstrate the modeling. The predicted results of the case study showed that water shortage would not occur at a high-inflow level during 2018–2035 but would appear at mid- and low-inflow levels in 2025 and 2022, respectively. After we made dynamic adjustments to water use efficiency, economic growth, population growth, and water resource utilization, the predicted water shortage rates decreased by approximately 69–70% at the mid- and low-inflow levels in 2025 and 2035 compared to the scenarios without any adjustment strategies. Water allocation schemes obtained from the “prediction + dynamic regulation + optimization” framework were competitive in terms of social, economic and environmental benefits and flexibly satisfied the water demands. The case study demonstrated that the SD-MOO model framework could be an effective tool in achieving sustainable water resource management.

scholarly journals Women, Water & Well-Being: A Case Study of ‘Kuttadampadam’ in Palakkad, Kerala

2019 ◽  
Vol 7 (1) ◽  
pp. 44-49
Author(s):  
V Shinju ◽  
Aswathi Prasad
Keyword(s):  
Resource Management ◽  
Water Resources ◽  
Natural Resources ◽  
Water Resource ◽  
Water Resource Management ◽  
Well Being ◽  
Starting Point ◽  
Role Of Women

The natural resources are repository for the survival of all of us, so they must be used efficiently to meet the present needs while conserving them for future generations. An action to develop capacities from global to household levels for their sustainable management and regulation is required henceforth. Of these natural resources, water resources are most precious. If there is no water; there would be no life on earth. Since ‘water is the elixir of life’, water resource management has been considered as one of the most relevant areas of intervention. Understanding the gender dimensions of water resource management is a starting point for reversing the degradation of water resources. Women play an important role here since they have to access the water resources for almost all the activities on a daily basis. As the women are the strong social agents, effective and improved water preservation techniques could be achieved through their empowerment that may eventually lead to the well-being of the households in particular and of the community in general. Therefore, the major research question posed in this study is to analyze the role of women in the preservation and management of water, an inevitable, precious but diminishing natural resource. The study also intends to describe the relationship between the three ‘W's-Women, Water & Well-being. Both qualitative and quantitative approaches are essential here as it is a contingent issue in the present scenario. Psychological dimensions were also explored since the issue is affecting the routine life of the community. The case study of women belonging to the Kuttadampadam region was done to explain the role of women in preserving water resources in the areas affecting severe water scarcity.

scholarly journals Adaptive Responses to Climate Change: Evaluating the Implementation and Effectiveness of Water Resource Management Strategies in Selected Hotels within the Environs of Lake Naivasha

2019 ◽  
pp. 287-296
Author(s):  
D. N. Kinyanjui
Keyword(s):  
Water Management ◽  
Resource Management ◽  
Water Resource ◽  
Study Design ◽  
Water Resource Management ◽  
Management Strategies ◽  
Lake Naivasha ◽  
Water Sustainability ◽  
Structural Water ◽  
Management Staff

Aims: This study sought to evaluate the adoption of water resource management strategies in hotels in an attempt to attain water sustainability. Specifically, the research sought to assess the current structural and non-structural water resource management strategies adopted by selected hotels in the environs of Lake Naivasha; establish the perceived effectiveness of both the structural and non-structural water resource management strategies adopted to enhance water sustainability; and compare the structural and non-structural water management strategies in terms of their effectiveness in promoting water sustainability in hotels within environs of Lake Naivasha. Study Design: The study adopted a case study design. Place and Duration of Study: This study was conducted in hotels within the environs of Lake Naivasha between May and December 2010. Methodology: A census of 30 Class (A) registered hotels was conducted, and purposive sampling was used to select 120 respondents from the management staff within the selected hotels. Convenience sampling was used to select 8 managers of water management bodies who acted as key informants during personal interviews. Primary data was collected from the hotel management staff using questionnaires and from managers of water management through personal interviews. Data from questionnaires were analysed using the Statistical Package for Social Science (SPSS) to derive descriptive statistics on the implementation of WRM strategies. Results: Findings revealed that a majority of the sampled hotels had embraced water resource management strategies through the development of alternative water resources, use of water saving technology, treatment of recycled water and use of water saving manuals. Further, the structural water resource management strategies were perceived to be more effective as they impacted more on reducing the operating costs, promoted environmental conservation and were more preferred than the non- structural strategies despite being more expensive to implement.  Conclusion: It is concluded that water sustainability is however achievable through a combination of a variety of WRM strategies.

Using Ontologies to Relate Resource Management Actions to Environmental Monitoring Data in South East Queensland

2011 ◽  
Vol 2 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Jane Hunter ◽  
Peter Becker ◽  
Abdulmonem Alabri ◽  
Catharine van Ingen ◽  
Eva Abal
Keyword(s):  
Resource Management ◽  
Real Time ◽  
Water Resource ◽  
Water Resource Management ◽  
Management Strategies ◽  
Monitoring Program ◽  
Web Mapping ◽  
Management Actions ◽  
Semantic Data ◽  
Resource Managers

The Health-e-Waterways Project is a multi-disciplinary collaboration between the University of Queensland, Microsoft Research and the South East Queensland Healthy Waterways Partnership (SEQ-HWP). This project develops the underlying technological framework and set of services to enable streamlined access to the expanding collection of real-time, near-real-time and static datasets related to water resource management in South East Queensland. More specifically, the system enables water resource managers to access the datasets being captured by the various agencies participating in the SEQ HWP Ecosystem Health Monitoring Program (EHMP). It also provides online access to the statistical data processing tools that enable users to analyse the data and generate online ecosystem report cards dynamically via a Web mapping interface. The authors examine the development of ontologies and semantic querying tools to integrate disparate datasets and relate management actions to water quality indicators for specific regions and periods. This semantic data integration approach enables scientists and resource managers to identify which actions are having an impact on which parameters and adapt the management strategies accordingly. This paper provides an overview of the semantic technologies developed to underpin the adaptive management framework that is the central philosophy behind the SEQ HWP.

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