Comprehensive Assessment Approach Research Articles

Comprehensive Assessment of Smart Grids: Is There a Universal Approach?

A comprehensive assessment of smart grids is critical for their development. Existing scientific research testifies to the urgency and complexity of the problem of implementing smart grids effectively, both in terms of a single project performance and from the standpoint of creating a local, and later global, energy system. The multidimensionality of smart grids makes it challenging to assess the effectiveness of their implementation. Difficulties in evaluation arise because it is challenging to consider technical, technological, economic, and other relevant aspects of smart grids’ development within a single evaluation system. There are currently a significant number of smart grid assessment systems. However, it remains debatable how systematically and comprehensively they measure the efficiency of a smart grid. This, in turn, raises the question of whether there is a universal evaluation system that integrally considers all the crucial components of smart grids and is suitable for evaluating smart grid projects of different content. This article analyzes the most well-known approaches to comprehensive assessment of smart grids according to the completeness of their coverage of smart grids’ most critical components. This paper identifies the essential areas for assessing smart grids according to the most cited and authoritative research and regulatory documents of the European Union. As a result, seven groups of indicators were identified. These groups of indicators are the basis for comparative analysis of the comprehensive assessment approaches of smart grids. The results of the study should help determine the appropriateness of applying a particular evaluation system. In addition, the analysis of existing evaluation systems allows the shaping of a universal approach to evaluating smart grids comprehensively and systematically.

Comprehensive Intersystemic Assessment Approach to Relieve Psychogenic Erectile Dysfunction: A Review

Psychogenic erectile dysfunction (ED) is a very common condition in men. About 40% of ED cases are psychogenic. Many of the psychogenic ED patients are young men. The causes of psychogenic ED can be generalized as well as situational. Psychogenic management approaches are different from organic ED. In patients with psychogenic ED, an intersystemic approach is needed for both the patient and his partner. This intersystemic approach will inspect the real cause of the problem. Intersystemic approach: The intersystemic approach not only focuses on the patient side but also on his partner. This approach provides space for partners to explore and understand their sexual life. In this article, we focus to explore a research that conducts intersystemic principle in ED management. We conclude that in psychogenic ED, an intersystematic approach is important for determining the root cause of the problem. Finding the right core cause will determine the right treatment. This therapy can combine with pharmacologic treatments. These therapies can give a better outcome for psychogenic ED.

Landsenses ecology approach for comprehensive assessment of cultural ecosystem services: preferences of students at Ankara University of Turkey

ABSTRACT This study aimed to evaluate and spatially represent university students’ perception of cultural ecosystem services in the urban public space of Ankara, Turkey in relation to the ‘landsenses ecology’ framework. A questionnaire survey was administered to randomly selected students studying landscape architecture at Ankara University via the Google Forms electronic survey. For mapping, the Urban Atlas Project 2018 data were used to show the connection between CES and the land-use types. A hot-spot map was created for spatial assessment of CES using Kernel density estimation. Within the study area, the students marked 87 favourite places. The city centre (Kızılay) was marked as the most significant place to visit by the students. Yet, the majority (63%) of the participants marked an urban green space as their favourite place. Spending time with family and friends was the most selected activity in the rankings with a mean score of 4.90 (SD = 4.10). The hot-spot map indicated that grey infrastructure areas generate CES values as well. Within the perspective of landsenses ecology – where psychological and cultural perception is emphasized – understanding and identifying these values and their specific localizations can be useful in urban landscape management, especially to encourage young people’s involvement in daily urban space.

A dynamic risk assessment approach based on stochastic hybrid system: Application to microbial hazards in food processing

In food processing, it is essential to guarantee the safety of microbial hazards. Microorganisms exist, transit and continuously grow along the food processing with hybrid evolutionary characteristics and uncertainties. Thus, a particular risk assessment is essential to effectively predict and evaluate the risk of microbial hazards in food processing. For such a purpose, we propose a comprehensive dynamic risk assessment approach based on a stochastic hybrid system (SHS). First, we formulate a dynamic evolution of microorganisms in food processing according to the SHS model. Second, we employ a Monte Carlo simulation to obtain the probability density functions of process characteristic information for microorganisms during processing. Additionally, we design a novel risk indicator of “hazard degree” to quantify the potential risks of microorganisms based on this process information. Finally, we present a case study of wheat flour processing to estimate the risk of mixed mildew on the basis of the SHS approach. Experimental results show that the proposed approach is feasible in modeling the hybrid evolution and handling uncertainties in predictions of microbial hazards. This study should prove to be a valuable reference to ensure food safety for risk management and decision-making departments.

Integration of hydrogeophysical and geological investigations in enhancing groundwater potential assessment in Houtriver gneiss crystalline basement formation of South Africa

Groundwater exploration in crystalline basement aquifers such as the Houtriver gneiss formation in the Limpopo province of South Africa is often described as complex. This is because groundwater availability in such aquifers is largely a consequence of the interaction of several processes related to recharge, underlying geological features and fracture connectivity of the aquifer rock matrix. In this study, an integration of geophysical and geological investigations is applied in inferring potential drill targets within the Houtriver gneiss crystalline basement aquifer system. Results from the magnetic and frequency domain electromagnetic surveys were combined with geological investigations to identify sites where vertical electrical resistivity sounding was applied to infer the thickness and layering of weathered and fractured zones, as well as to identify potential targets where test boreholes were drilled. Constructed geo-resistivity pseudo-sections suggested that groundwater occurrence within this formation is described by a heterogeneous multiple-layered and fractured aquifer system with the main groundwater bearing zones ranging from a depth of 30–72m in most cases. Ten potential drill sites were identified from which three test boreholes were drilled and used to validate the results through a lithostratigraphic conceptual model developed from the correlation of the geophysical results with drill logs. The integration of hydro-geophysical and geological methods thus provided a comprehensive approach for resource assessment in the Houtriver gneiss formation.

Response criteria for intraocular retinoblastoma: RB-RECIST.

Standardized guidelines for assessing tumor response to therapy are essential for designing and conducting clinical trials. The Response Evaluation Criteria In Solid Tumors (RECIST) provide radiological standards for assessment of solid tumors. However, no such guidelines exist for the evaluation of intraocular cancer, and ocular oncology clinical trials have largely relied on indirect measures of therapeutic response-such as progression-free survival-to evaluate the efficacy of treatment agents. Herein, we propose specific criteria for evaluating treatment response of retinoblastoma, the most common pediatric intraocular cancer, and emphasize a multimodal imaging approach for comprehensive assessment of retinoblastoma tumors in clinical trials.

Structure and processes of emergency observation units with a geriatric focus: a scoping review

BackgroundCombining observation principles and geriatric care concepts is considered a promising strategy for risk-stratification of older patients with emergency care needs. We aimed to map the structure and processes of emergency observation units (EOUs) with a geriatric focus and explore to what extent the comprehensive geriatric assessment (CGA) approach was implemented in EOUs.MethodsThe revised scoping methodology framework of Arksey and O’Malley was applied. Manuscripts reporting on dedicated areas within hospitals for observation of older patients with emergency care needs were eligible for inclusion. Electronic database searches were performed in MEDLINE, EMBASE and CINAHL in combination with backward snowballing. Two researchers conducted data charting independently. Data-charting forms were developed and iteratively refined. Data inconsistencies were judged by a third researcher or discussed in the research team. Quality assessment was conducted with the Methodological Index for Non-Randomized Studies.ResultsSixteen quantitative studies were included reporting on fifteen EOUs in seven countries across three continents. These units were located in the ED, immediately next to the ED or remote from the ED (i.e. hospital-based). All studies reported that staffing consisted of at least three healthcare professions. Observation duration varied between 4 and 72 h. Most studies focused on medical and functional assessment. Four studies reported to assess a patients’ medical, functional, cognitive and social capabilities. If deemed necessary, post-discharge follow-up (e.g. community/primary care services and/or outpatient clinics) was provided in eleven studies.ConclusionThis scoping review documented that the structure and processes of EOUs with a geriatric focus are very heterogeneous and rarely cover all elements of CGA. Further research is necessary to determine how complex care principles of ‘observation medicine’ and ‘CGA’ can ideally be merged and successfully implemented in clinical care.

Energy, Economic, Environment (3E) analysis of WT-PV-Battery autonomous hybrid power plants in climatically varying regions

Electricity production via renewable energies is considered to be a suitable solution in the short and long term, since fossil fuels are doomed to exhaustion. The aim of this study is to conduct energy, economic and environmental (3E) analysis for an autonomous hybrid renewable energy system (HRES) composed of a wind and solar photovoltaic systems. In this article, HOMER Pro software is adopted for economic evaluation and optimization. The simulations were carried out for a total of 24 selected cities distributed in different climatic regions for a comprehensive assessment approach. The meteorological data for these cites was generated by the NASA platform. The daily energy load of 319.35 kWh/day was used for a typical village in the Fez-Meknes region with a peak power of 30.89 kW. The examined levelized cost of energy ranged between 0.32 $/kWh and 0.171 $/kWh. The lowest levelized cost of energy was predicted for Eddakhla city. The energy shares in this site were to be 25.6% and 74.4%, respectively for the wind turbine system and the PV field. The HRES saves 128.21 tonnes of CO2 release in the city of Eddakhala. This type of projects will enable Morocco to increase its energy independence and supports its national strategy. Furthermore, these projects can promote the socioeconomic development in remote and isolated sites and can be widespread in the African continent, especially with the decreasing costs of renewable energy equipment.

Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis

This paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its local version called L-WLC to provide a more comprehensive assessment approach. As part of the approach, the assessment input data comprised of geodiversity factor ratings and weights were obtained through crowdsourcing. A geoinformation crowdsourcing tool called the geo-questionnaire was used to obtain data from 57 Earth science researchers worldwide. These data served as the bases for a group assessment of geodiversity. The reliability of assessment was evaluated by means of spatially explicit uncertainty analysis. The results showed the efficacy of local spatial multicriteria analysis techniques (L-WLC) used in concert with a global technique (WLC) on the example of geodiversity assessment for Karkonosze National Park in southwestern Poland.

Agricultural drought risk assessment of Northern New South Wales, Australia using geospatial techniques

Droughts are recurring events in Australia and cause a severe effect on agricultural and water resources. However, the studies about agricultural drought risk mapping are very limited in Australia. Therefore, a comprehensive agricultural drought risk assessment approach that incorporates all the risk components with their influencing criteria is essential to generate detailed drought risk information for operational drought management. A comprehensive agricultural drought risk assessment approach was prepared in this work incorporating all components of risk (hazard, vulnerability, exposure, and mitigation capacity) with their relevant criteria using geospatial techniques. The prepared approach is then applied to identify the spatial pattern of agricultural drought risk for Northern New South Wales region of Australia. A total of 16 relevant criteria under each risk component were considered, and fuzzy logic aided geospatial techniques were used to prepare vulnerability, exposure, hazard, and mitigation capacity indices. These indices were then incorporated to quantify agricultural drought risk comprehensively in the study area. The outputs depicted that about 19.2% and 41.7% areas are under very-high and moderate to high risk to agricultural droughts, respectively. The efficiency of the results is successfully evaluated using a drought inventory map. The generated spatial drought risk information produced by this study can assist relevant authorities in formulating proactive agricultural drought mitigation strategies.

Spontaneous Expressive Language Profiles in a Clinically Ascertained Sample of Children With Autism Spectrum Disorder.

Children with autism spectrum disorder (ASD) have varying degrees of language impairment across multiple domains, which may include deficits in syntactic, pragmatic, and/or semantic skills. The heterogeneity of language profiles within ASD, coupled with the limited scope of existing standardized language measures, makes a comprehensive assessment of language impairments in ASD challenging. The Observation of Spontaneous Expressive Language (OSEL) is a new measure developed to capture children's spontaneous use of language in a naturalistic setting. The current study used the OSEL to examine the patterns of spontaneous expressive language abilities of 87 clinically ascertained children with ASD from 2 to 12 years. As expected, children with ASD were significantly more impaired in their spontaneous use of language compared to typically developing peers. Syntax and narrative skills continued to increase with age from toddler to elementary school years in cross-sectional comparisons. Pragmatic skills improved form toddler to preschool years but remained stable from preschool to elementary school years. Preliminary data also demonstrated significant improvements in OSEL syntax scores over time for a subset of children followed longitudinally (n = 8). Children with ASD consistently showed more impairments in spontaneous expressive language captured on the OSEL compared to language skills measured by other more structured standardized assessments, despite moderate convergent validity among those measures. Results suggest that impairments in the spontaneous and functional use of expressive language persist into middle childhood for many children with ASD, and a comprehensive assessment approach can lead to more precisely targeted treatment addressing specific language profiles. LAY SUMMARY: This study aimed to examine the variable language profiles in children with ASD. Children with ASD were shown to have impairments in the structure, meaning, and social use of language. These challenges were captured best by a measure that was created to assess the spontaneous use of language in a naturalistic environment. The results of this study emphasize the importance of a comprehensive assessment of language in ASD to inform treatment. Autism Res 2021, 14: 720-732. © 2020 International Society for Autism Research and Wiley Periodicals LLC.

A comprehensive assessment of power system resilience to a hurricane using a two-stage analytical approach incorporating risk-based index

Sustainability of power systems is a vital need for modern societies. The occurrence of extreme weather events, such as hurricanes, may lead to blackouts. Hence, power systems resilience is a critical issue for experts. The main focus of this paper is on how to assess power system resilience comprehensively. In this regard, a two-stage framework is proposed. In the first stage, an approach is presented to evaluate power system resilience against a single intensity of a hurricane, which is called snapshot resilience assessment. The Cost of Energy Not Supplied (CENS) is regarded as a primary criterion. A risk measure called Conditional Value at Risk (CVaR) is incorporated into this approach to manage the risk of experiencing unfavorable failure scenarios. Accordingly, CVaR of CENS is proposed as an index in this stage. In the second stage, an approach for comprehensive resilience assessment is proposed, which is based on the trend of changing the values of snapshot resilience indices over a range of intensities of the event. The applicability of the proposed framework is tested in the IEEE 24-bus system. Finally, to examine the accuracy of the framework, the resilience of the test system is re-evaluated after applying a resilience improvement method.

A Comprehensive Assessment Approach for Water-Soil Environmental Risk during Railway Construction in Ecological Fragile Region Based on AHP and MEA

With China’s government facilitating railway projects, more railway lines inevitably pass through ecological fragile regions (EFRs). Railway construction activities in EFRs might cause detrimental impacts on the local water-soil environment (WSE), which is the basis of the local ecological system that if destroyed can induce secondary disasters. Studies on the WSE risk (WSER) during railway construction in EFRs are limited. As such, this study aims to offer preliminary insight into the WSER assessment of railway construction in EFRs. WSERs were identified firstly based on the literature review and field surveys, and thus a risk index framework for WSER assessment including 5 categories of WSERs and 16 second-order risks was established. Then a comprehensive quantitative assessment method was developed by integrating analytic hierarchy process (AHP) and matter-element analysis (MEA) to assess the overall WSERs of railway construction in EFRs. A case (i.e., the Mingan subproject of Hefei-Fuzhou railway) was selected to demonstrate and validate the developed approach. Results show that the proposed assessment approach can be applied to evaluate the WSERs during railway construction. In addition, the case study demonstrates that the risk of construction methods should be the key focus. Findings from this study enrich the knowledge body of sustainable railways and guide the project managers to conduct practical WSER assessment of railway construction.

Life cycle assessment approach for renewable multi-energy system: A comprehensive analysis

In response to the gradual degradation of natural sources, there is a growing interest in adopting renewable resources for various building energy supply. In this study, a comprehensive life cycle assessment approach is proposed for a renewable multi-energy system (MES) to evaluate its primary energy consumption, economy cost and carbon emission from cradle to grave. The MES, consisting of passive side and active side, is fully driven by renewable energy including solar, wind and biomass. On the passive side, building integrated photovoltaic, solar collector and wind turbines are adopted. On the active side, the biomass-fuelled combined cooling heating and power system (CCHP) serves as the primary energy supplier. The electric compression chiller and biomass boiler are adopted when the thermal energy from the CCHP system is not sufficient, while electricity is imported from the city power grid when the electricity demand is low. A representative office building in the United Kingdom and real-life inventory data is adopted to demonstrate the effectiveness of the proposed life cycle assessment approach. Through life cycle assessment, the advantages and disadvantages of the MES are compared with the reference CCHP system and conventional separate system in view of life cycle primary energy consumption, economy cost and carbon emission. Moreover, to gain an insight into the life cycle performance, the sensitivity analysis is conducted on the rated capacity of the power generation unit, climate zones, life span, recycle ratio and interest rate. The life cycle cost of MES is relatively higher than the conventional separate system mainly owing to the high construction cost of BIPV, wind turbine, solar collector and biomass feedstock. However, its life cycle primary energy consumption and carbon emission are much lower. It is believed that the proposed life cycle assessment approach can provide useful guidelines for government in policymaking and for building engineers in retrofitting works.

Naturalness assessment performed using forestry maps to validate forest management sustainability

One-quarter of forest areas worldwide are managed for forestry purposes. Depending upon the type of practice and intensity of management, forestry may alter forests to various degrees and raise sustainability issues. To mitigate the alteration of natural forests by forestry and to promote sustainability, ecosystem management has been implemented widely over the past quarter century. A need remains for the development of comprehensive and operational assessment approaches to validate its effectiveness. Naturalness assessment could be used to validate effectiveness of ecosystem management since this concept relates to the degree to which a natural state has been altered. We developed an approach that integrates stand- and landscape- scale traits of naturalness into a single comprehensive assessment that can be performed using only forestry maps. To illustrate our approach, we assessed naturalness in four managed forest landscapes (2184 km2), representing a management gradient of increasing intensity from passive restoration to plantation forestry. We defined four naturalness classes, i.e., natural, semi-natural, altered and artificial. Assessment was performed in two steps. At step one, we attributed a class to each managed stand by comparing its current composition with natural stand compositions of its potential natural vegetation. At the landscape scale, certain developmental stages or forest types could be in excess in managed forest landscapes compared with natural forest landscapes. At step two, we transferred numbers of stages or types in excess from the natural class to more altered classes. We demonstrated that naturalness decreased as management intensity increased. Passive restoration and extensive management generated a landscape where semi-natural forests predominated in mixtures with a lower abundance of natural forests. Intensive management generated a largely semi-natural forest landscape. Plantation forestry generated a landscape where semi-natural and altered forests predominated. In conclusion, it should now be possible to validate the effectiveness of different practices and intensity of ecosystem management in promoting sustainability, by performing our assessment approach periodically following every update of forestry maps. Our approach could also allow for more comprehensive assessment of forest management strategies developed to mitigate global change by putting into better perspective their potential effects upon forest alteration of various forestry practices that have been implemented to sequester carbon.

Fecal indicator bacteria, direct pathogen detection, and microbial community analysis provide different microbiological water quality assessment of a tropical urban marine estuary

Urban marine estuaries are often impacted by microbiological contamination that impairs use and affects human health acutely, while limited is known about microbiological water quality in urban marine estuaries in the absence of reported sewage spills. This study used a tropical urban marine estuary, the Ala Wai Canal in Honolulu, Hawaii, as the model system to compare fecal indicator bacteria (FIB) concentrations, bacterial pathogen profiles, and microbial community structures. The FIB Escherichia coli exhibited higher geometric mean 132 CFU/100mL (n=28) than those of enterococci (18 CFU/100mL) and Clostridium perfringens (21 CFU/100mL). Amongst the four pathogens targeted by cultivation methods (Salmonella, Campylobacter, Listeria monocytogenes and Vibrio parahaemolyticus), only was V. parahaemolyticus detected and was detected at high frequency. Microbial community analysis through 16S rRNA gene amplicon sequencing also indicated the high prevalence of Vibrio in the water. The pathogen detection patterns and microbial community structure showed no significant correlation with FIB concentration profiles. Together, the results highlight the limitation of using traditional FIB in assessing water microbiological quality in the tropical urban marine estuary environment, indicating the need for more comprehensive microbial risk assessment approaches such as direct detection of pathogens.

Pragmatic and Conversational Features of Arabic-Speaking Adolescents With Autism Spectrum Disorder: Examining Performance and Caregivers' Perceptions.

Purpose This study investigates the features of pragmatic and conversational skills in the language of Arabic-speaking adolescents with autism spectrum disorder (ASD) by comparing them with typically developing (TD) Arabic-speaking adolescents in Saudi Arabia. It aims to identify the differences in the pragmatic skills of the two groups and the perception of those skills by caregivers, with respect to four main pragmatic areas: discourse management, communicative function, conversational repair, and presupposition abilities. Method Data for this study were collected from 15 Saudi adolescents with ASD and a control group of 15 TD adolescents, matched for gender and language abilities. All the participants were in the normal IQ range. The caregivers of the adolescents with ASD and TD adolescents also participated in this study. Data were collected on the adolescents' performances using the Yale in vivo Pragmatic Protocol. In addition, the Pragmatics Profile of Everyday Communication Skills (PPECS) was used to collect data on the caregivers' perceptions of the adolescents' abilities. The combination of tools in this study allows for a unique comparison between actual performance and caregivers' perceptions. Results As expected, both the adolescents' performances and the caregivers' perceptions reflected an overall deficit in the pragmatic and conversational skills of adolescents with ASD. However, we also identified an inconsistency between the caregivers' estimation of the participant's pragmatic abilities and the actual abilities demonstrated by the adolescents. In particular, TD adolescents performed significantly better than adolescents with ASD in the pragmatic areas of turn-taking, topic maintenance, and topic initiation, but the caregivers did not detect differences between the two groups in these discourse management abilities. Conclusions This study has important implications for both ASD interventions and assessment. It provides a comprehensive assessment approach for measuring pragmatic skills, including both direct (participants' performances) and indirect (caregivers' perceptions) measures. Future research may benefit from adopting the combined approach used in this study to explore pragmatics in ASD. Differences between caregivers' perceptions and the performances of individuals with ASD should be considered, as well as the influence of various factors on their communication.

AGREE-Analytical GREEnness Metric Approach and Software.

Green analytical chemistry focuses on making analytical procedures more environmentally benign and safer to humans. The amounts and toxicity of reagents, generated waste, energy requirements, the number of procedural steps, miniaturization, and automation are just a few of the multitude of criteria considered when assessing an analytical methodology’s greenness. The use of greenness assessment criteria requires dedicated tools. We propose the Analytical GREEnness calculator, a comprehensive, flexible, and straightforward assessment approach that provides an easily interpretable and informative result. The assessment criteria are taken from the 12 principles of green analytical chemistry (SIGNIFICANCE) and are transformed into a unified 0–1 scale. The final score is calculated based on the SIGNIFICANCE principles. The result is a pictogram indicating the final score, performance of the analytical procedure in each criterion, and weights assigned by the user. Freely available software makes the assessment procedure straightforward. It is open-source and downloadable from https://mostwiedzy.pl/AGREE.

Overall quality control of the chemical and bioactive consistency of ShengMai Formula

ShengMai Formula (SMF), a famous traditional Chinese medicine (TCM) formula, has been extensively used for treating the diseases caused by Qi-Yin deficiency for almost 1000 years. However, few studies are elucidated about its batch-to-batch quality control system and the quality control markers remain largely unrevealed, which have hindered the development and utilization of SMF. In this study, we aimed to screen the optimal quality control markers to evaluate the overall quality consistency of SMF. High-performance liquid chromatography (HPLC) fingerprint coupled with similarity analysis (SA), principal components analysis (PCA) and hierarchical cluster analysis (HCA) was firstly established to hunt for the discriminant components that resulting in the chemical inconsistence among different batches of SMF. Subsequently, different batches of samples were selected to explore their immunomodulatory activities by neutral red method, Cell Counting Kit-8 (CCK-8) assay and enzyme-linked immunosorbent assay (ELISA). Finally, the fingerprint-efficacy relationships were further illuminated to discover the major bioactive compositions using grey relational analysis (GRA), partial least squares regression (PLSR) analysis and artificial neural network (ANN) analysis. As a result, schisandrol A, schisandrol B, methylophiopogonanone A, schisandrin B, ginsenoside Rf, ginsenoside Rb1, ginsenoside Rg2 and ginsenoside Rb2 were selected as the quality control markers and thus their simultaneous quantification was performed to both evaluate the batch-to-batch chemical and bioactive consistency among different batches of SMF. Our investigation not only stresses the necessity of consistency in efficacy besides chemical consistency, but also provides a comprehensive and powerful quality assessment approach, which is promising to monitor the overall quality consistency of SMF.

Assessment of flash flood risk based on improved analytic hierarchy process method and integrated maximum likelihood clustering algorithm

Flash floods are one of the most severe natural disasters throughout the world, and are responsible for sizeable social and economic losses, as well as countless injuries and death. Risk assessment, which identifies areas susceptible to flooding, has been shown to be an effective tool for managing and mitigating flash floods. The study aims to introduce the methods to determine the weights of the risk indices, and identify the different risk clusters. In this regard, we proposed a methodology for comprehensively assessing flash flood risk in a GIS environment, by the improved analytic hierarchy process (IAHP) method, and an integration of iterative self-organizing data (ISODATA) analysis and maximum likelihood (ISO-Maximum) clustering algorithm. The weight for each risk index is determined by the IAHP, which integrates the subjective characteristics with objective attributes of the assessment data. Based on the data mining technology, the integration of ISO-Maximum clustering algorithm derives a more reasonable classification. The Guangdong Province of China was selected for testing the proposed method’s applicability, and we used a receiver operating characteristics (ROC) curve approach to validate the modeling of the flash-flood risk distribution. The validation against the historical flash flood data indicates a high reliability of this method for comprehensive flash flood risk assessment. In order to verify the proposed method’s superiority, in addition, the technique for order performance by similarity to ideal solution (TOPSIS) and the weights-of-evidence (WE) methods are used for comparison with the IAHP and ISO-Maximum clustering algorithm method. Moreover, we analyzed and compared the regularity of flash floods in the rural and urban areas. This study not only provides a new approach for large-scale flash flood comprehensive risk assessment, but also assists researchers and local decision-makers in designing flash flood mitigation strategies.