Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method

Chae, Seung Taek; Chung, Eun‐Sung; Jiang, Jiping

doi:10.1007/s11269-022-03062-y

Cited by 18 publications

(6 citation statements)

References 24 publications

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“…The advantages of MCDA techniques have been proven in many fields and showed high stability in water resources and climate impact assessments (Chae et al., 2022; Chung & Kim, 2014). Therefore, it is necessary to discuss whether the TOPSIS weighted MME used in this study reflects the concept of the scenario well.…”

Section: Discussionmentioning

confidence: 99%

“…The performances of the GCMs in terms of spatial resolution, physical processes, and uncertainties improved with the phases of CMIP. These efforts have made the CMIP6 better than the previous versions, as reported in many studies (Chae et al, 2022;Kim et al, 2021;Song et al, 2021Song et al, , 2022a. IPCC (2021) reported nearly 0.1°C more warming in Assessment Report (AR)6 than AR5 due to methodological advances and new data sets.…”

Section: Introductionmentioning

confidence: 99%

“…MCDA can aggregate information from various sources and, therefore, be more efficient for ranking alternatives (Homsi et al., 2019; Salman et al., 2020). They are also superior in theory and stable in applications (Chae et al., 2022; Chung & Kim, 2014; Song & Chung, 2016). The determination of weights should be a reflection of explicitly defined statistical models or frameworks (Knutti et al., 2010).…”

Section: Introductionmentioning

confidence: 99%

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Global Future Climate Signal by Latitudes Using CMIP6 GCMs

Song,

Chung,

Shahid

2024

Earth's Future

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This study estimated global climate change signals at different latitudes for four main Shared Socioeconomic Pathways (SSPs). Five evaluation metrics were integrated using the Technique for Order of Preference by Similarity to Ideal Solution to quantify the historical reproducibility of 25 CMIP6 General Circulation Models (GCMs) with Global Precipitation Climatology Centre precipitation and Climatic Research Unit temperature as the reference. The most suitable GCMs for simulating climate over different latitudes, selected based on evaluation metrics, were used to prepare a multimodel ensemble and project the future annual and seasonal precipitation and temperature in the near (2031–2065) and far future (2066–2100). The results showed that GCMs estimated the historical mean temperature efficiently but underestimated the monthly precipitation compared to the reference data. The changes in precipitation and temperature at mid‐latitudes (N45.5°–60°) showed the highest variability for all scenarios. The maximum increases in both climate variables for SSP5‐8.5 were 80.5% and 4.8% at N45.5°–60°, respectively. In contrast, the temperature and precipitation at S30.5°–45° revealed a decreasing pattern. Mid‐latitude winter (S30.5°–45°) would be drier in the future than in the base period (1980–2014). This study showed that precipitation variability and the mean temperature in the northern hemisphere would be larger for SSPs with higher radiative forcing. Therefore, the results of this study help improve knowledge of global future climate change by latitudes.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Global Future Climate Signal by Latitudes Using CMIP6 GCMs

Song,

Chung,

Shahid

2024

Earth's Future

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“…When creating data, interpolation is crucial in the unsampled area or in predictions by applying mathematical techniques, both geostatistical and nongeostatistical (Huerta et al, 2023). Inverse Distance Weight IDW data's performance is a non-geostatistical spatial interpolation and heavily dependent on the season (Chae et al, 2022;Adelodun et al, 2023). IDW is a well-liked interpolation technique because of its low complexity (Zhu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Climatic and anthropogenic impacts on the water balance of Issyk-Kul Lake through its main catchments

Uwamahoro,

Liu,

Nzabarinda

et al. 2024

Front. Water

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Lake Issyk-Kul is an endorheic lake in arid Central Asia that is vital to the region's ecological sustainability and socio-economic development. Climate change and anthropogenic water consumption led to fluctuations in the lake's water level, which affected the water resource. The goal of this study was to examine the impacts of climate change and human activities on the Issyk-Kul water balance by combining the Coupled Model Intercomparison Project Phase 6 (CMIP6) scenarios with hydrological modeling. The Soil and Water Assessment Tool (SWAT) model was used to incorporate signals of future precipitation and temperature changes. According to the scenarios, the total discharge of the three catchments showed an overall increasing trend with a maximum value of 28.02%. The snow and ice-melt water from March to August was revealed, and the increasing trends only occurred from March to May, with the snow and ice melting peak variations ranging from 0.5% to 2%. The high increase in change appeared in northern catchment of the lake. There was an exceptional upward precipitation trend over the northern catchment, with annual increases ranging from 0.7 to 14.5%, and an average annual temperature of 1.72°C. With slight similarities, the total runoff would increase for all catchments, with an average annual value of 10.6%. The northern catchment was significantly more sensitive to precipitation and warming than the southeastern catchments. Under land use land cover change, average annual discharge decreased with agricultural expansion, with discharge differences ranging from −0.005 to −1.06 m3/s. The findings are useful for decision-makers addressing the challenges of climate change mitigation and local water resource management.

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“…Various multi-attribute decision-making methods have been developed to solve decision problems involving TPIGN; among these, the technique for order preference by similarity to an ideal solution (TOPSIS) method is a classical and widely used approach (Yang et al , 2022a; Chae et al , 2022; Rani and Kaushal, 2022). TOPSIS has become a popular approach owing to its ability to reflect the overall situation of alternatives in a centralized manner.…”

Section: Introductionmentioning

confidence: 99%

Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity

Zhang

Shen

2023

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PurposeThree-parameter interval grey numbers (TPIGNs) have been extensively studied as an extended form of interval numbers. However, most existing TPIGN multi-attribute decision-making methods only consider the similarity of positions, ignore the similarity of developmental directions and focus primarily on static evaluation. To address these limitations, in this study, the authors propose a dynamic technique for order preference by similarity to an ideal solution (TOPSIS) based on modified Jaccard similarity and angle similarity for TPIGNs.Design/methodology/approachFirst, the authors extend Jaccard similarity to a TPIGN environment to represent positional similarity. A simple example is provided to illustrate the limitations of the traditional Jaccard similarity. Then, the authors introduce an angle similarity measure to represent developmental directional similarity. Finally, a dynamic TOPSIS model is constructed by incorporating time-series data into conventional two-dimensional static data. Stage weights are obtained by an objective function designed to maximize the amount and minimize the fluctuation of decision information. A quadratic weighting method is adopted to derive the overall evaluation value of alternatives.FindingsTo evaluate the effectiveness of the proposed method, this study takes the pre-assessment of ice disaster and the selection of cooperative enterprises as examples. The authors then provide the results of comparative and sensitivity analyses, which demonstrate the effectiveness and flexibility of the proposed method.Originality/valueThe proposed TOPSIS method in a TPIGN environment can take a more holistic and dynamic perspective for decision-making, which helps mitigate the limitations of single-perspective or static evaluations.

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Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method

Cited by 18 publications

References 24 publications

Global Future Climate Signal by Latitudes Using CMIP6 GCMs

Global Future Climate Signal by Latitudes Using CMIP6 GCMs

Climatic and anthropogenic impacts on the water balance of Issyk-Kul Lake through its main catchments

Three-parameter interval grey number dynamic TOPSIS method based on comprehensive similarity

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