A decision support system for map projections of small scale data

2004 ◽  
Author(s):  
Michael P. Finn ◽  
E. Lynn Usery ◽  
Stephan T. Posch ◽  
Jeong Chang Seong
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Small Scale ◽  
Map Projections ◽  
Scale Data

A GIS Based Decision Support System for the Cultivation and Management of Eucalypt

2011 ◽  
Vol 403-408 ◽  
pp. 2607-2611
Author(s):  
Xin Wen Yu ◽  
Yan Chen Yang ◽  
Xu Zhang ◽  
Xuan Li ◽  
Ying Wu Li
Keyword(s):  
Decision Support ◽  
Economic Evaluation ◽  
Decision Support System ◽  
Support System ◽  
Large Scale ◽  
Small Scale ◽  
Variety Selection

A GIS based decision support system for eucalypt cultivation and management was developed. The system can help farmers make decision in planting suitability, eucalypt variety selection, planting scheme making etc. The system can also make an economic evaluation for the selected variety so that users can make decision to plant or not. The system supports two groups of users which are eucalypt farmers who cultivate eucalypt in a small scale and forest farms who cultivate eucalypt in a relatively large scale.

A KNOWLEDGE-BASED DECISION SUPPORT SYSTEM FOR SELECTING SMALL-SCALE WASTEWATER TREATMENT PROCESSES

1994 ◽  
Vol 30 (2) ◽  
pp. 175-184 ◽  
Author(s):  
T. Okubo ◽  
K. Kubo ◽  
M. Hosomi ◽  
A. Murakami
Keyword(s):  
Wastewater Treatment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Treatment Plant ◽  
Small Scale ◽  
Effluent Water ◽  
User Input ◽  
Treatment Processes ◽  
Ranking Score

A PC-based decision support system was developed for selecting the most appropriate small-scale wastewater treatment plant process for a given set of conditions (e.g., population and available budget for facility construction and operation and maintenance (O&M)). The system consists of: (i) a numerical database for considering treatment performance and costs, (ii) a non-numerical database (knowledge-base) for considering intangible, empirical information (e.g., O&M difficulty), (iii) an analysis module for determining effluent water qualities and costs according to the basic user-input data of an objective site, and (iv) a dialog module for controlling user input and the subsequent system output. The system provides a display listing the effluent water qualities (e.g., BOD, total nitrogen, and total phosphorus), construction and O&M costs, and a ranking score of O&M difficulty and other non-numerical parameters of each treatment processes. The user is able to sort the resultant list according to parameter values or ranking score, and can prioritize several treatment processes using the analytic hierarchy process (AHP) method. In addition, the system is capable of evaluating integrated wastewater treatment processes which combine natural purification processes such as streams or wetlands.

scholarly journals A Decision Support System for Water Resources Management: The Case Study of Mubuku Irrigation Scheme, Uganda

2019 ◽  
Vol 11 (22) ◽  
pp. 6260 ◽  
Author(s):  
Luisa Bettili ◽  
Eva Pek ◽  
Maher Salman
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Decision Support System ◽  
Support System ◽  
Irrigated Agriculture ◽  
Small Scale ◽  
Climate Data ◽  
Irrigation Scheme ◽  
African Countries ◽  
Small Scale Irrigation

The greater competing demand for water requires an efficient use of water resources. Therefore, an optimum management is necessary in order to deal with the constraining factors. In African countries, irrigated agriculture is the largest user of surface water resources. Nevertheless, recent assessments in small-scale surface irrigation schemes resulted in poor performance indicators: Water use efficiency indicators of existing schemes are below 50 percent, owing to inadequate management modes. The paper sheds the light on the potential development of a decision-support system based knowledge with the Mapping System and Services for Canal Operation Techniques approach, merged with the MIKEHydro Basin model as a versatile and flexible framework conceived for a large variety of applications in small-scale irrigation. The model aims to improve water service, increase irrigation efficiency, comply with socio-economic objectives at country level. In order to address the prevailing heterogeneity of small-scale irrigation scheme, numerous variables are adjusted in the model, in terms of cropping patterns, climate data, and irrigation time. The evaluation of established water balance under different scenarios showed that tackling supply-driven scheduling and distributive issues significantly increases efficiency. Nevertheless, water allocation according to socio-economic objectives of food security and market security implies trading off the efficiency objectives.

Sign in / Sign up

Export Citation Format

Share Document