Prospect of application of extended range forecast in water resource management: a case study over the Mahanadi River basin

2015 ◽  
Vol 77 (2) ◽  
pp. 575-595 ◽  
Author(s):  
D. R. Pattanaik ◽  
Ashok Kumar Das
Keyword(s):  
Resource Management ◽  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
Mahanadi River ◽  
Extended Range

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 Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG

2020 ◽  
Vol 15 (3) ◽  
pp. 1 ◽  
Author(s):  
Jhones Da Silva Amorim ◽  
Rubens Junqueira ◽  
Vanessa Alves Mantovani ◽  
Marcelo Ribeiro Viola ◽  
Carlos Rogério de Mello ◽  
...  
Keyword(s):  
Resource Management ◽  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
Extreme Values ◽  
Kendall Test ◽  
Hydropower Plant ◽  
Coefficient Of Determination ◽  
Historical Series ◽  
Anderson Darling

 Maximum and minimum streamflow are fundamental for water resource management, especially for water rights. However, lack of monitoring and scarce streamflow data limit such studies. Streamflow regionalization is a useful tool to overcome these limitations. The study developed models for regionalization of the maximum and minimum reference streamflows for the Mortes River Basin (MRB) (Water Resources Planning and Management Unit - GD2), Southern Minas Gerais State. The study used long-term streamflow historical series provided by the Brazilian National Water Agency (ANA). Previous exploratory analysis was performed, and it was observed that the streamflow series are stationary according to the Mann-Kendall test. The estimation of the streamflow for different return periods (RP) was performed by fitting Probability Density Functions (PDFs) that were tested by the Anderson-Darling (AD) test. The Generalized Extreme Values (GEV) and Wakeby were the most appropriate PDFs for maximum and minimum streamflows, respectively. The streamflow models were fitted using a power regression procedure, considering the drainage area of the watersheds as inputs. The fittings reached the coefficient of determination (R2) greater than 0.90. Thus, the streamflow regionalization models demonstrated good performance and are a potential tool to be used for water resource management in the studied basin.

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