The application of the water resources modeling platform from strategic planning through to operational control

2008 ◽  
Vol 33 (8-13) ◽  
pp. 919-925 ◽  
Author(s):  
S.J.L. Mallory ◽  
S.J. van Vuuren ◽  
E.A. Pashkin
Author(s):  
Peter Dale ◽  
John McLaughlin

Technology rarely poses the major concerns in any effort to build and sustain an effective land administration infrastructure. Rather, the core challenges tend to be related to management issues, as will be discussed in this chapter. Management was described in our earlier book as the art and science of making decisions in support of certain perceived objectives. Like politics, it is the art of achieving the possible, the ability to get things done. Management skills are needed in order to implement policy decisions and to meet the objectives set for any organization. Good management seeks to do this in an optimum fashion—perfect solutions never arise. Management entails extrapolating trends from a limited range of facts—sufficient information is never available for decisions to be made with certainty as to their outcome. Better information will however bring about a better understanding of any system and hence create the possibility for its better operation. Information is needed to: 1. monitor what is going on so that areas where decisions need to be made can be identified; 2. help evaluate alternative strategies for dealing with the problems or opportunities that have been identified; 3. assist in selecting the right course of action; and 4. facilitate the implementation of whatever has been decided. Management operates at all levels from the personal to the institutional; for instance all individuals need to practise self-management in order to achieve their optimum personal goals. More particularly, management within an organization operates at three key levels—strategic planning, management control, and operational control. Strategic planning is the process whereby decisions are made on an organization’s objectives, including where the organization should position itself to cope with future trends and markets. Operational control involves the day-to-day processes of ensuring that routine tasks are carried out efficiently and effectively. Management control is the interface between these two, ensuring that adequate resources are secured, either in terms of people, money, or equipment, to achieve the organization’s mission and objectives.


2011 ◽  
pp. 113-133
Author(s):  
Brian N. Hilton

Geographic information systems (GIS) have numerous applications in human health. This chapter opens with a brief discussion of the three dimensions of decision-making in organizations — operational control, management control, and strategic planning. These dimensions are then discussed in terms of three case studies: a practice- improvement case study under operational control, a service-planning case study under management control, and a research case study under strategic planning. The discussion proceeds with an analysis of GIS contributions to three health care applications: medical/disability services (operational control/practice), emergency response (management control/planning), and infectious disease/SARS (strategic planning/research). The chapter concludes with a cross-case synthesis and discussion of how GIS could be integrated into health care management through Spatial Decision Support Systems and presents three keys issues to consider regarding the management of organizations: Data Integration for Operational Control, Planning Interorganizational Systems for Management Control, and Design Research for Strategic Planning.


Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2443 ◽  
Author(s):  
Marnix van der Vat ◽  
Pascal Boderie ◽  
Kees Bons ◽  
Mark Hegnauer ◽  
Gerrit Hendriksen ◽  
...  

The Ganga Basin in India experiences problems related to water availability, water quality and ecological degradation because of over-abstraction of surface and groundwater, the presence of various hydraulic infrastructure, discharge of untreated sewage water, and other point and non-point source pollution. The basin is experiencing rapid socio-economic development that will increase both the demand for water and pollution load. Climate change adds to the uncertainty and future variability of water availability. To support strategic planning for the Ganga Basin by the Indian Ministry of Water Resources, River Development and Ganga Rejuvenation and the governments of the concerned Indian states, a river basin model was developed that integrates hydrology, geohydrology, water resources management, water quality and ecology. The model was developed with the involvement of key basin stakeholders across central and state governments. No previous models of the Ganga Basin integrate all these aspects, and this is the first time that a participatory approach was applied for the development of a Ganga Basin model. The model was applied to assess the impact of future socio-economic and climate change scenarios and management strategies. The results suggest that the impact of socio-economic development will far exceed the impacts of climate change. To balance the use of surface and groundwater to support sustained economic growth and an ecologically healthy river, it is necessary to combine investments in wastewater treatment and reservoir capacity with interventions that reduce water demand, especially for irrigation, and that increase dry season river flow. An important option for further investigation is the greater use of alluvial aquifers for temporary water storage.


10.29007/w43g ◽  
2018 ◽  
Author(s):  
Dionysios Nikolopoulos ◽  
Konstantina Risva ◽  
Christos Makropoulos

The alarming rate of urbanization poses immediate problems to water resources management, mainly, but not limited to water supply, flood risk management, wastewater treatment and water quality control. Ideally, strategic planning of water systems should be fully aware of the prospects of future urban growth in order to maintain high reliability of services provided and satisfy customers in the long term. Typically, urban growth is handled in a static manner via the development of future scenarios based on previous urban planning studies. Generally, these scenarios focus solely on population increase and ignore the spatial allocation dynamics. Modern urban water strategic thinking needs to incorporate robust tools and methodologies in management practices, able to predict and quantify the outcome possibility of future urban growth. To cope with the aforementioned challenge, this study proposes a novel cellular automata urban growth model as well as, a supplementary remote sensing methodology to preprocess input data.


Author(s):  
Brian N. Hilton ◽  
Thomas A. Horon ◽  
Bengisu Tulu

Geographic information systems (GIS) have numerous applications in human health. This chapter opens with a brief discussion of the three dimensions of decision-making in organizations — operational control, management control, and strategic planning. These dimensions are then discussed in terms of three case studies: a practice-improvement case study under operational control, a service-planning case study under management control, and a research case study under strategic planning. The discussion proceeds with an analysis of GIS contributions to three health care applications: medical/disability services (operational control/practice), emergency response (management control/planning), and infectious disease/SARS (strategic planning/research). The chapter concludes with a cross-case synthesis and discussion of how GIS could be integrated into health care management through Spatial Decision Support Systems and presents three keys issues to consider regarding the management of organizations: Data Integration for Operational Control, Planning Interorganizational Systems for Management Control, and Design Research for Strategic Planning.


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