THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA)
In several previous studies on flood analysis and estimation, there was no clear rationale for why different researchers used a different combination of parameters in the determination of flood zones. Such research results raise the question of how to select a few dominant parameters without reduci...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Geographical Institute "Jovan Cvijić" SASA
2023-08-01
|
| Series: | Zbornik Radova: Geografski institut "Jovan Cvijić" |
| Subjects: | |
| Online Access: | https://ojs.gi.sanu.ac.rs/index.php/zbornik/article/view/640 |
| _version_ | 1797425807444934656 |
|---|---|
| author | Totok Sulistyo Sara Respati |
| author_facet | Totok Sulistyo Sara Respati |
| author_sort | Totok Sulistyo |
| collection | DOAJ |
| description |
In several previous studies on flood analysis and estimation, there was no clear rationale for why different researchers used a different combination of parameters in the determination of flood zones. Such research results raise the question of how to select a few dominant parameters without reducing the objectivity of the analysis. This research proposes the standardization of parameters selection by using Pareto Analysis in screening a few vital flood parameters from numerous parameters that prevail in certain areas. The selection of the right dominant parameters is the key to achieving the analysis goal and it will also simplify the analysis processes. This flood zone estimation study uses a combination of Pareto Analysis, Analytic Hierarchy Process (AHP) and Geographic Information System (GIS). The results of the study include a flood zonation map. The study area can be classified by its level of vulnerability as follow: very low vulnerability zones (0.003 km2), low vulnerability zones (5.588 km2), medium vulnerability zones (11.876 km2), high vulnerability zones (8.629 km2), and very high vulnerability zones (2.198 km2). The validation shows that the estimation of the most vulnerable zone is consistent with field validation and the flood event history of several locations in the study area. As a result, the developed model can provide an accurate flood zonation map, enabling stakeholders to take appropriate mitigation measures for different areas.
|
| first_indexed | 2024-03-09T08:21:32Z |
| format | Article |
| id | doaj.art-39078b67b35542208c159a3638519429 |
| institution | Directory Open Access Journal |
| issn | 0350-7599 1821-2808 |
| language | English |
| last_indexed | 2024-03-09T08:21:32Z |
| publishDate | 2023-08-01 |
| publisher | Geographical Institute "Jovan Cvijić" SASA |
| record_format | Article |
| series | Zbornik Radova: Geografski institut "Jovan Cvijić" |
| spelling | doaj.art-39078b67b35542208c159a36385194292023-12-02T21:45:37ZengGeographical Institute "Jovan Cvijić" SASAZbornik Radova: Geografski institut "Jovan Cvijić"0350-75991821-28082023-08-0173210.2298/IJGI2302123STHE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA)Totok Sulistyo0Sara Respati1Balikpapan State Polytechnic, Department of Civil Engineering, BalikpapanBalikpapan State Polytechnic, Department of Civil Engineering, Balikpapan In several previous studies on flood analysis and estimation, there was no clear rationale for why different researchers used a different combination of parameters in the determination of flood zones. Such research results raise the question of how to select a few dominant parameters without reducing the objectivity of the analysis. This research proposes the standardization of parameters selection by using Pareto Analysis in screening a few vital flood parameters from numerous parameters that prevail in certain areas. The selection of the right dominant parameters is the key to achieving the analysis goal and it will also simplify the analysis processes. This flood zone estimation study uses a combination of Pareto Analysis, Analytic Hierarchy Process (AHP) and Geographic Information System (GIS). The results of the study include a flood zonation map. The study area can be classified by its level of vulnerability as follow: very low vulnerability zones (0.003 km2), low vulnerability zones (5.588 km2), medium vulnerability zones (11.876 km2), high vulnerability zones (8.629 km2), and very high vulnerability zones (2.198 km2). The validation shows that the estimation of the most vulnerable zone is consistent with field validation and the flood event history of several locations in the study area. As a result, the developed model can provide an accurate flood zonation map, enabling stakeholders to take appropriate mitigation measures for different areas. https://ojs.gi.sanu.ac.rs/index.php/zbornik/article/view/640flood parametersPareto AnalysisAHPGISriver basin |
| spellingShingle | Totok Sulistyo Sara Respati THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) Zbornik Radova: Geografski institut "Jovan Cvijić" flood parameters Pareto Analysis AHP GIS river basin |
| title | THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) |
| title_full | THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) |
| title_fullStr | THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) |
| title_full_unstemmed | THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) |
| title_short | THE ESTIMATION OF FLOOD AREA BASED ON A FEW SELECTED AND WEIGHTED PARAMETERS: CASE STUDY OF THE NANGKA RIVER BASIN, BALIKPAPAN (INDONESIA) |
| title_sort | estimation of flood area based on a few selected and weighted parameters case study of the nangka river basin balikpapan indonesia |
| topic | flood parameters Pareto Analysis AHP GIS river basin |
| url | https://ojs.gi.sanu.ac.rs/index.php/zbornik/article/view/640 |
| work_keys_str_mv | AT totoksulistyo theestimationoffloodareabasedonafewselectedandweightedparameterscasestudyofthenangkariverbasinbalikpapanindonesia AT sararespati theestimationoffloodareabasedonafewselectedandweightedparameterscasestudyofthenangkariverbasinbalikpapanindonesia AT totoksulistyo estimationoffloodareabasedonafewselectedandweightedparameterscasestudyofthenangkariverbasinbalikpapanindonesia AT sararespati estimationoffloodareabasedonafewselectedandweightedparameterscasestudyofthenangkariverbasinbalikpapanindonesia |