A SYSTEM DYNAMIC BASED DECISION SUPPORT SYSTEM FOR SUSTAINABLE MANAGEMENT OF RIVER AQUATIC ENVIRONMENT

For sustainable management of marine geological resources, a geological knowledge base is being built for the Belgian and southern Netherlands part of the North Sea. Voxel models of the subsurface are used for predictions on sand and gravel quantities and qualities, to ensure long-term resource use. The voxels are filled with geological data from boreholes and seismic lines, but other information can be added also. The geology provides boundary conditions needed to run environmental impact models that calculate resource depletion and regeneration under various scenarios of aggregate extraction. Such analyses are important in monitoring progress towards good environmental status, as outlined in the Marine Strategy Framework Directive. By including uncertainty, data products can be generated with confidence limits, which is critical for assessing the significance of changes in the habitat or in any other resource-relevant parameter. All of the information is integrated into a cross-domain, multi-criteria decision support system optimised for user-friendliness and online visualisation.

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A decision support system to assist the sustainable management of navigation activities in the St. Lawrence River Estuary, Canada

Environmental Modelling & Software ◽

10.1016/j.envsoft.2011.08.009 ◽

2011 ◽

Vol 26 (12) ◽

pp. 1403-1418 ◽

Cited By ~ 17

Author(s):

L. Parrott ◽

C. Chion ◽

C.C.A. Martins ◽

P. Lamontagne ◽

S. Turgeon ◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Sustainable Management ◽

River Estuary ◽

St Lawrence River

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Sustainable management of leakage from wastewater pipelines

Water Science & Technology ◽

10.2166/wst.2005.0459 ◽

2005 ◽

Vol 52 (12) ◽

pp. 189-198 ◽

Cited By ~ 18

Author(s):

D. DeSilva ◽

S. Burn ◽

G. Tjandraatmadja ◽

M. Moglia ◽

P. Davis ◽

...

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Sustainable Management ◽

Potential Effect ◽

Operating Conditions ◽

Pipeline System ◽

Operational Conditions ◽

Pipe Networks ◽

Support Tools

Wastewater pipeline leakage is an emerging concern in Europe, especially with regards to the potential effect of leaking effluent on groundwater contamination and the effects infiltration has on the management of sewer reticulation systems. This paper describes efforts by Australia, in association with several European partners, towards the development of decision support tools to prioritize proactive rehabilitation of wastewater pipe networks to account for leakage. In the fundamental models for the decision support system, leakage is viewed as a function of pipeline system deterioration. The models rely on soil type identification across the service area to determine the aggressiveness of the pipe environment and for division of the area into zones based on pipe properties and operational conditions. By understanding the interaction between pipe materials, operating conditions, and the pipe environment in the mechanisms leading to pipe deterioration, the models allow the prediction of leakage rates in different zones across a network. The decision support system utilizes these models to predict the condition of pipes in individual zones, and to optimize the utilization of rehabilitation resources by targeting the areas with the highest leakage rates.

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Application of Decision Support System for Sustainable Management of Water Resources in the Azraq Basin—Jordan

Water International ◽

10.1080/02508060208687040 ◽

2002 ◽

Vol 27 (4) ◽

pp. 532-541 ◽

Cited By ~ 7

Author(s):

Yasin Al-Zu' bi ◽

Muhammad Shatanawi ◽

Odeh Al-Jayoussi ◽

Atef Al-Kharabsheh

Keyword(s):

Decision Support ◽

Water Resources ◽

Decision Support System ◽

Support System ◽

Sustainable Management ◽

Azraq Basin

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Implementasi fuzzy weighted product penyusunan aksi rehabilitasi rekonstruksi pasca bencana berbasis decision support system dynamic

JURNAL ELTEK ◽

10.33795/eltek.v18i1.171 ◽

2020 ◽

Vol 18 (1) ◽

pp. 1

Author(s):

Agung Teguh Almais ◽

Fatchurrohman Fatchurrohman ◽

Khadijah Fahmi Hayati Holle

Keyword(s):

Decision Support ◽

Decision Support System ◽

Natural Disasters ◽

Test Data ◽

Support System ◽

System Dynamic ◽

Test Results ◽

The Government

Penyusunan aksi rehabilitasi rekonstruksi pasca bencana alam dilakukan untuk mengetahui jenis kerusakan dan besarnya kerugian pasca bencana alam yang harus ditanggung pemerintah. Agar jenis kerusakan dan besarnya kerugian pasca bencana alam sesuai data yang dilapangan maka dilakukan penelitian yang mengimplementasikan Decision Support System Dynamic (DSSD) dengan metode Fuzzy-Weighted Product (F-WP). Hasil dari pengujian menghasilkan tiga jenis data yang berbeda yaitu data uji yang sama dengan data pola, data uji yang tidak sama dengan data pola, dan data uji yang tidak bisa diterpakan untuk pengujian. Masing-masing jenis data uji tersebut memilik prosentase yaitu 73% data uji yang sama dengan data pola, 22% data uji yang tidak sama dengan data pola, dan 5% merupakan data yang tidak dapat digunakan sebagai data uji. Dari hasil pengujian tersebut dapat disimpulkan bahwa metode Fuzzy-Weighted Product (F-WP) dapat diterapkan pada Decision Support System Dynamic (DSSD) untuk membantu surveyor dalam melakukan penyusunan aksi rehabilitasi rekonstruksi pasca bencana alam. Preparation of rehabilitation reconstruction actions after natural disasters is carried out to determine the types of damage and the number of losses after natural disasters that must be borne by the government. So that the type of damage and the magnitude of losses after natural disasters match the data in the field, a study is carried out that implements a Decision Support System Dynamic (DSSD) with the Fuzzy-Weighted Product (F-WP) method. The results of tests produce three types of data that are different, namely the same test data with pattern data, test data that are not the same as pattern data, and test data that cannot be applied for testing. Each type of test data has a percentage that is 73% of the same test data like the pattern data, 22% of the test data are not the same as the pattern data, and 5% are data that cannot be used as test data. From the test results it can be concluded that the Fuzzy-Weighted Product (F-WP) method can be applied to the Decision Support System Dynamic (DSSD) to assist surveyors in carrying out the rehabilitation reconstruction actions after natural disasters.

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Implementasi Decision Support System Dynamic Menggunakan Weight Product Untuk Menentukan Uang Kuliah Tunggal

Jurnal Ilmiah Informatika ◽

10.35316/jimi.v5i1.546 ◽

2020 ◽

Vol 5 (1) ◽

pp. 1-8

Author(s):

Dyah Ayu Wiranti ◽

Kurnia Siwi Kinasih ◽

Ainafatul Nur Muslikah ◽

Dyah Wardani ◽

Agung Teguh Wibowo Almais

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Private Colleges ◽

Confusion Matrix ◽

System Dynamic ◽

Student Needs ◽

Time Of Admission ◽

F Measure

Single tuition is the extension of the single tuition, which can be interpreted as a payment system made at the time of admission in both State and private colleges in Indonesia. Where this single tuition can provide benefits for the equitable of each student and help the students who are less able in terms of the economy that is certainly derived from the underprivileged family. In the calculation process determines the single tuition money each student needs a long process and time. So, there is an idea to implement a Decision Support System Dynamic (DSSD) so that at the time of determination of single tuition can be evenly and by the actual situation. One method that can be used on DSSD is the Weighted Product (WP) method. By implementing the method of WP combined with the concept of DSSD, then generated values of confusion matrix (recall, precision, f-measure, and accuracy) obtained by looking for the value of comparison between test data with pattern data. Obtained confusion matrix value with system testing and get the results Precision 88.89%, Recall 82.76%, Accuracy 77.14%, F-Measure 85.71%.

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The design of a web-based decision support system for the sustainable management of an urban river system

Water Science & Technology ◽

10.2166/wst.2002.0672 ◽

2002 ◽

Vol 46 (6-7) ◽

pp. 131-139 ◽

Cited By ~ 8

Author(s):

Y.-C. Chang ◽

N.-B. Chang

Keyword(s):

Water Quality ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Sustainable Management ◽

Treatment Plant ◽

The Internet ◽

Estuarine Ecosystem ◽

Web Based ◽

Internet Environment

The effects of urbanization on the aquatic environment, and solutions to the deterioration of water quality and stream ecology in the Love River have long been the main focus of environmental management in southern Taiwan. Apart from choosing the regular strategies of installing an intercept and sewer system, coastal wastewater treatment plant, and ocean outfall pipe, a new opportunity for improving the overall managerial efficiency is to design and implement a web-based Decision Support System (DSS). This DSS must be capable of managing storm water impacts when overflow is inevitable, river water quality variations leading to influences on the ecosystem, and changing land use programs along river corridors and adjacent urban areas simultaneously. This paper presents a new design framework for building such a DSS. By using the advanced information technology in the “Internet” environment, the proposed DSS may perform normal queries and statistical analyses in a web-enabled database, spatial analysis via the use of a Geographic Information System (GIS) in the Internet environment, and essential data warehousing/data mining. Possible linkage with various analytical models is anticipated. Such a DSS must be helpful for achieving the rehabilitation of the estuarine ecosystem and satisfying the goals for sustainable management in a regional sense.

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