A Comprehensive Method for Multi-Criteria Evaluation of Health Regions

2022 ◽  
pp. 217-226
Author(s):  
Aleksandar Tsenov ◽  
Velko Iltchev ◽  
Hristomir Yordanov
Keyword(s):  
Comprehensive Method ◽  
Multi Criteria Evaluation

ASSESSMENT OF STATISTICAL SIGNIFICANCE OF HISTORIC DANUBE FLOODS

2020 ◽  
Author(s):  
Stevan Prohaska ◽  
◽  
Aleksandra Ilić ◽  
Pavla Pekarova ◽  
◽  
...  
Keyword(s):  
Middle Ages ◽  
Linear Trend ◽  
Statistical Significance ◽  
Danube River ◽  
Exceedance Probability ◽  
Simultaneous Occurrence ◽  
Flood Wave ◽  
Probability Of Occurrence ◽  
Comprehensive Method ◽  
Flood Hydrograph

Data on historic floods along the Danube River exist since the year 1012. In the Middle Ages, floods were estimated based on historical documents, including original handwritten notes, newspaper articles, chronicles, formal letters, books, maps and photographs. From 1500 until the beginning of organized water regime observations, floods were hydraulically reconstructed based on water marks on old buildings in cities along the Danube (Passau, Melk, Emmersdorf an der Donau, Spilz, Schonbuhen and Bratislava). The paper presents a procedure for assessing the statistical significance of registered historic floods using a comprehensive method for defining theoretical flood hydrographs at hydrological stations. The approach is based on correlation analysis of two basic flood hydrograph parameters – maximum hydrograph ordinate (peak) and flood wave volume. The PROIL model is used to define the probability of simultaneous occurrence of these parameters. It defines the exceedance probability of two random variables, in the specific case two hydrograph parameters of the form: P{Qmax more equal to qmax,p)∩(Wmax more equal to wmax,p)} = P (1) where: Qmax – maximum hydrograph ordinate (peak); qmax,p – maximum discharge of the probability of occurrence p; Wmax – maximum hydrograph volume; wmax,p – maximum flood wave volume of the probability of occurrence p; P – exceedance probability. Spatial positions of the lines of exceedance of two flood hydrograph parameters and the empirical points of the corresponding parameters of the considered historic flood in the correlation field Qmax - Wmax, allow direct assessment of the exceedance probability of a historic flood, or its statistical significance. The proposed procedure was applied in practice to assess the statistical significance of the biggest floods registered along the Danube in the sector from its mouth to the Djerdap 1 Dam. The linear trend in the time-series of maximum annual flows at a representative hydrological station and the frequency of historic floods in the considered sector of the Danube are discussed at the end of the paper.

ANALISIS BAHAYA LONGSOR DI AREA RENCANA PEMBANGUNAN JALUR KERETA CEPAT JAKARTA-BANDUNG CK 88-CK 114 (Studi Kasus Kabupaten Bandung Barat)

2019 ◽  
Vol 3 ◽  
pp. 1071
Author(s):  
Fauzan Muzakki ◽  
Boedi Tjahjono ◽  
Dwi Putro Tedjo Baskoro
Keyword(s):  
Analytical Hierarchy Process ◽  
Multi Criteria Evaluation ◽  
Hierarchy Process

Mulai tahun 2015 hingga 2019 di Kabupaten Bandung Barat akan dibangun sebuah jalur kereta cepat Jakarta-Bandung. Padahal daerah tersebut cenderung bergunung dan berbukit sehingga berpeluang untuk longsor. Penelitian ini bertujuan untuk melakukan pemetaan bahaya longsor skala 1:25.000 berbasis peta sub-faset lahan (satuan lahan) skala 1:25.000 sebagai satuan pemetaan di CK 88-CK 114 (KM 88-KM 114). Metode penelitian ini mencakup intepretasi visual citra penginderaan jauh untuk pemetaan faset lahan, dan penggunaan lahan dan perhitungan MCE (Multi Criteria Evaluation) untuk penilaian bahaya longsor. Skor dan bobot dari setiap parameter longsor diperoleh dari pendapat para pakar bencana melalui analisis AHP (Analytical Hierarchy Process). Berdasarkan hasil analisis AHP dan MCE, parameter utama terjadinya longsor di lokasi penelitian adalah faktor geologi. Hasil penelitian juga menunjukkan bahwa lokasi penelitian didominasi oleh kelas bahaya longsor sedang seluas 42% dari total luas lokasi penelitian, sedangkan kelas bahaya longsor rendah dan tinggi secara berturut-turut seluas 28% dan 30%. Jika dilakukan perbandingan antara jumlah titik longsor terhadap luasan kelas bahaya longsor diperoleh nilai kerapatan kelas bahaya longsor tinggi hingga rendah secara berturut-turut terdapat pada kelas bahaya tinggi, sedang, dan rendah. Oleh karena itu, prediksi zona bahaya longsor yang dilakukan dalam penelitian ini dapat dikategorikan baik.

Comprehensive method to determine flow areas of perforation damages in subsea pipelines with culverts

2019 ◽  
Vol 9 (6) ◽  
pp. 660-665
Author(s):  
Elmir I. Huseynli ◽  
◽  
Ramiz A. Eminov ◽  
Arzu E. Ibrahimova ◽  
◽  
...  
Keyword(s):  
Comprehensive Method ◽  
Subsea Pipelines

Site Suitability Analysis for Water Conservation Using AHP and GIS Techniques: A Case Study of Upper Sina River Catchment, Ahmednagar (India)

2020 ◽  
Vol 3 (2) ◽  
pp. 49-59 ◽  
Author(s):  
Yogesh Badhe ◽  
Ravindra Medhe ◽  
Tushar Shelar
Keyword(s):  
Water Conservation ◽  
Soil Depth ◽  
Land Use Land Cover ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Gis Techniques ◽  
Multi Criteria Evaluation ◽  
Conservation Activity ◽  
Suitable Site

The site suitability for construction of water conservation structures is an important step towards groundwater conservation in arid and semi-arid regions. Water is the most crucial for maintaining an environment and ecosystem which is helpful to sustaining all forms of the life. The increasing water scarcity day to day has been one of the common problems over a period of time. On top of it, when the area is a part of rain shadow zone like Ahmednagar district, water conservation activities are become more important. The present study aims to identify the suitable zones for water conservation activity. Multi- criteria evaluation is carried out using Geographic Information System (GIS) techniques to help the choice makers in defining suitable site for construction of water conservation structures. Different layers which were considered for multi-criteria evaluation: slope, land use land cover, soil texture, lithology, soil depth, soil erosion, wells, lineaments and drainage network. Analytical Hierarchy Processes (AHP) is used for weighted sum to find suitable sites for implementation of water conservation activity using selected criterions. The site suitability map was classified into four classes: highly suitable, moderately suitable, less suitable and not suitable with area of 19.19%, 26%, 49.03% and 5.78, respectively. This map will help for selection of suitable sites for construction of Mati Nala Bund (MNB), Check Dam, Cement Nala Bund (CNB) and Continuous Contour Trenches (CCT) for conservation of groundwater resource in the region.

scholarly journals Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of Fallot

2021 ◽  
Author(s):  
Animesh Tandon ◽  
Navina Mohan ◽  
Cory Jensen ◽  
Barbara E. U. Burkhardt ◽  
Vasu Gooty ◽  
...  
Keyword(s):  
Tetralogy Of Fallot ◽  
Hausdorff Distance ◽  
Volumetric Analysis ◽  
Dice Similarity Coefficient ◽  
Algorithm Performance ◽  
Comprehensive Method ◽  
Combined Use ◽  
Median Error ◽  
Structural Abnormalities ◽  
Testing Data

AbstractVentricular contouring of cardiac magnetic resonance imaging is the gold standard for volumetric analysis for repaired tetralogy of Fallot (rTOF), but can be time-consuming and subject to variability. A convolutional neural network (CNN) ventricular contouring algorithm was developed to generate contours for mostly structural normal hearts. We aimed to improve this algorithm for use in rTOF and propose a more comprehensive method of evaluating algorithm performance. We evaluated the performance of a ventricular contouring CNN, that was trained on mostly structurally normal hearts, on rTOF patients. We then created an updated CNN by adding rTOF training cases and evaluated the new algorithm’s performance generating contours for both the left and right ventricles (LV and RV) on new testing data. Algorithm performance was evaluated with spatial metrics (Dice Similarity Coefficient (DSC), Hausdorff distance, and average Hausdorff distance) and volumetric comparisons (e.g., differences in RV volumes). The original Mostly Structurally Normal (MSN) algorithm was better at contouring the LV than the RV in patients with rTOF. After retraining the algorithm, the new MSN + rTOF algorithm showed improvements for LV epicardial and RV endocardial contours on testing data to which it was naïve (N = 30; e.g., DSC 0.883 vs. 0.905 for LV epicardium at end diastole, p < 0.0001) and improvements in RV end-diastolic volumetrics (median %error 8.1 vs 11.4, p = 0.0022). Even with a small number of cases, CNN-based contouring for rTOF can be improved. This work should be extended to other forms of congenital heart disease with more extreme structural abnormalities. Aspects of this work have already been implemented in clinical practice, representing rapid clinical translation. The combined use of both spatial and volumetric comparisons yielded insights into algorithm errors.

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