Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis

Tang, Zhongqian; Zhang, Hua; Yi, Shanzhen; Xiao, Yong

doi:10.1016/j.jhydrol.2018.01.033

Cited by 91 publications

(39 citation statements)

References 40 publications

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“…One of the methods used for assessing flood susceptibility is multi-criteria decision analysis (MCDA) [15,16]. Different approaches for assigning weights (e.g., expert judgement) or weighting methods (e.g., pairwise) can be used in MCDA to prioritize the relative importance of the selected conditioning factors [10,17]. Based on a literature review, the most common method of MCDA, in terms of defining flood susceptible zones, is the weighted linear combination approach [18].…”

Section: Introductionmentioning

confidence: 99%

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process

Vojtek

Vojteková

2019

Water

211

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Flood susceptibility mapping and assessment is an important element of flood prevention and mitigation strategies because it identifies the most vulnerable areas based on physical characteristics that determine the propensity for flooding. This study aims to define the flood susceptibility zones for the territory of Slovakia using a multi-criteria approach, particularly the analytical hierarchy process (AHP) technique, and geographic information systems (GIS). Seven flood conditioning factors were chosen: hydrography—distance from rivers, river network density; hydrology—flow accumulation; morphometry—elevation, slope; and permeability—curve numbers, lithology. All factors were defined as raster datasets with the resolution of 50 x 50 m. The AHP technique was used to calculate the factor weights. The relative importance of the selected factors prioritized slope degree as the most important factor followed by river network density, distance from rivers, flow accumulation, elevation, curve number, and lithology. It was found that 33.1% of the territory of Slovakia is characterized by very high to high flood susceptibility. The flood susceptibility map was validated against 1513 flood historical points showing very good agreement between the computed susceptibility zones and historical flood events of which 70.9% were coincident with high and very high susceptibility levels, thus confirming the effectiveness of the methodology adopted.

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Section: Introductionmentioning

confidence: 99%

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process

Vojtek

Vojteková

2019

Water

211

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“…Another major issue is that the parameters of the composition methods are typically viewed as spatially homogeneous Zhang and Jia, 2013). For example, it is often assumed that all the sub-areas of a particular study area contribute the same weight for a particular single index, and an empirical linear combination method is used to derive a relationship that is believed to be uniformly applicable across the study area (Malczewski and Liu, 2014;Tang et al, 2018). This type of integration is straightforward to implement and has gained popularity in recent developments of multivariate drought indices (AghaKouchak, 2015).…”

Section: Introductionmentioning

confidence: 99%

A new multi-sensor integrated index for drought monitoring

Jiao

Tian

Chang

et al. 2019

Agricultural and Forest Meteorology

137

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Drought is one of the most expensive but least understood natural disasters. Remote sensing based integrated drought indices have the potential to describe drought conditions comprehensively, and multi-criteria combination analysis is increasingly used to support drought assessment. However, conventional multi-criteria combination methods and most existing integrated drought indices fail to adequately represent spatial variability. An index that can be widely used for drought monitoring across all climate regions would be of great value for ecosystem management. To this end, we proposed a framework for generating a new integrated drought index applicable across diverse climate regions. In this new framework, a local ordered weighted averaging (OWA) model was used to combine the Temperature Condition Index (TCI) from the Moderate-resolution Imaging Spectroradiometer (MODIS), the Vegetation Condition Index (VCI) developed using the Vegetation Index based on Universal Pattern Decomposition method (VIUPD), the Soil Moisture Condition Index (SMCI) derived from the Advanced Microwave Scanning Radiometer-Earth Observation System (AMSR-E), and the Precipitation Condition Index (PCI) derived from the Tropical Rainfall Measuring Mission (TRMM). This new index, which we call the "Geographically Independent Integrated Drought Index (GIIDI)," was validated in diverse climate divisions across the continental United States. Results showed that GIIDI was better correlated with in-situ PDSI, Z-index, SPI-1,

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“…GIS-based multicriteria decision analysis (MCDA) has been extensively used in the field of hydrological and water resources [16,17]. It has gained popularity in the last decade as it provides GIS-based mapping [18].Most current studies [19][20][21][22] widely applied RS-and GIS-based AHP-MCDM techniques for the assessment of Groundwater Potential Zones (GWPZs) with effective results. When these studies were examined, it was found that land use (LU), geomorphology (GM), geology (G), recharge rate (RR), drainage density (DD), DEM, rainfall (RF), slope (SL), surface water body (SW), lineament density (LD), lithology (LI), and water table depth (WTD) parameters were used in almost all studies.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Çelik

2019

Water

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The Tigris River Batman-Hasankeyf region sub-basin drainage area is in the Upper Tigris basin and lies between the area where the Batman stream joins the river and the Yanarsu stream flows into the river. Intensive agricultural activities are carried out in this region, and irrigation is generally obtained from groundwater just as it moves away from the riverfront. The study area is a valuable basin for both Turkey and the Middle East. In this study, the effectiveness of the Geographic Information System (GIS)-based multicriteria decision-making (MCDM) analytic hierarchy process (AHP) as a spatial prediction tool was utilized in exploring the groundwater potential of the drainage area. In the analysis, eight hydrological and hydrogeological criteria were considered as influencing factors, namely, geomorphology, geology, rainfall, drainage density, slope, lineament density, land use, and soil properties. The weights of these criteria were determined through the AHP method; the Arc GIS 10.2.2 program and its submodules were used. The major findings of the study were that groundwater-potential index values of the basin were derived. Groundwater-potential-zone evaluation of the basin was obtained as follows: very poor (19%), poor (17%), moderate (34%), good (17%), very good (13%); and groundwater potential zone (GWPZ) maps of the sub-basin were created. 2 of 16 model [8]. Most of these methods are based on multivariate statistical techniques [9]. In contrast, the analytical hierarchy process (AHP) is considered to be a simple, effective, transparent, and reliable technique [10]. The AHP method is easy to identify in a useful way by integrating geographic information system (GIS) and remote sensing (RS) data. Groundwater parameters such as precipitation, aquifers, land use, and soil type can easily be defined as spatial data in a GIS environment. Thus, the method is very useful for identifying potential groundwater areas and is well-suited for the useful identification of groundwater-potential regions [11][12][13]. AHP is an approach that was developed by Thomas L. Saaty in the early 1980s [14]. It was developed with planned criteria according to a certain stage, evaluating the weights of these criteria, and comparing the criteria with other similar studies [15,16]. It is possible and preferable to determine hydrological and hydrogeological parameters that influence groundwater formation and their effects on groundwater formation and generate potential groundwater maps with GIS-based Multicriteria Decision-Making (MCDM) techniques. GIS-based multicriteria decision analysis (MCDA) has been extensively used in the field of hydrological and water resources [16,17]. It has gained popularity in the last decade as it provides GIS-based mapping [18].Most current studies [19][20][21][22] widely applied RS-and GIS-based AHP-MCDM techniques for the assessment of Groundwater Potential Zones (GWPZs) with effective results. When these studies were examined, it was found that land use (LU), geomorphology (GM), geology (G), recharge...

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Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis

Cited by 91 publications

References 40 publications

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process

Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process

A new multi-sensor integrated index for drought monitoring

Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

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