Comprehensive Resilience Research Articles

Multi-Indicator Fused Resilience Assessment of Power Grids Considering Wind-Photovoltaic Output Uncertainty during Typhoon Disasters

Extreme weather events such as typhoons pose a serious threat to the safe operation of power grids. In the field of power system resilience assessment during typhoon disasters, a parametric typhoon wind field model combined with actual historical meteorological data has not been well adopted, and the conventional renewable energy uncertainty modeling methods are not suitable for typhoon disaster periods. In this paper, a multi-indicator fused resilience assessment strategy considering wind-photovoltaic uncertainty and component failure during typhoon disasters is proposed. Firstly, based on the actual historical meteorological data of typhoons, an uncertainty model of typhoon wind speed is established by a rolling non-parametric Dirichlet process Gaussian mixture model. Then, a spatial–temporal contingency set is constructed by considering the best-fit wind field model and stress–strength interference model for failure probability of transmission lines. On this basis, a holistic resilience assessment framework is established from the perspectives of priority, robustness, rapidity, and sustainability, and the entropy weight method combined with the technology for order preference by similarity to an ideal solution is leveraged to obtain the comprehensive resilience indicator. Finally, numerical studies are performed on the IEEE-30 bus test system to identify vulnerable lines and improve system resilience during typhoon disasters.

Development of Resilience Framework and Respective Tool for Urban Stormwater Services

Resilience theory has gained significant traction in various urban fields, including natural disasters and risk management or climate change adaptation, and at different organizational levels, including academics, practitioners, and policymakers. It should be considered a complementary approach to sustainable development that enhances cities’ capacity to endure future uncertainties and promote rational urban development. However, the lack of a generally accepted definition of resilience hampers understanding and practical implementation in urban services like stormwater management. Conventionally, stormwater services aimed to minimize the impact of rainfall through fail-safe approaches. The resilience approach, on the other hand, embraces a holistic “safe-to-fail” perspective. The existing literature offers diverse approaches to measure flood and stormwater resilience. Still, there is room for the development and improvement of standardized but flexible frameworks for operationalizing resilience in urban drainage and flood management. To address this, a comprehensive resilience framework for urban stormwater services is proposed, entitled RESILISTORM. This framework incorporates a Strategic Dimension and a Performance Dimension, providing segmented and overall resilience ratings that enable utilities to address critical aspects undermining the service’s resilience. An open-source digital tool (RESILISTORM-tool) is also introduced to expedite answering, data integration, and visualization analysis of results.

Resiliency and Sustainability of Tourism Industry in Boracay Island

This descriptive-correlational study analyzed the resiliency and sustainability of the tourism enterprises in Boracay Island, Malay, Aklan, Philippines in 2022-2023 based on the responses of 400 respondents consisting of owners, presidents, managers, chairpersons, and employees of DOT accredited establishments in Boracay Island. Results show that the tourism enterprises in Boracay Island have an average level of organizational resilience. They reported to have set of appropriate responses to all emergencies but feel that their behavioral readiness to respond to internal and external environment is low. Their overall extent of resiliency is average and their enterprise sustainability is high. Their extent of resiliency was found to be significantly related to their extent of sustainability. Based on the findings and conclusion, the researcher encourages the tourism enterprises in Boracay Island to implement comprehensive resilience strategies that encompass both planned and adaptive measures while fostering community collaboration for agility and adaptability to respond effectively to unforeseen challenges.

Disaster Resilience and Capability in the Maintenance of Public Order During Disaster of Calamity-Prone Municipalities in Oriental Mindoro, Philippines

This study examined the level of disaster resilience and extent of the capability of calamity-prone areas to maintain public order during disaster, among the respondents, the barangay officials and the residents in the disaster-prone municipalities in Oriental Mindoro. This study employed a descriptive-quantitative research design in which the level of disaster resilience and extent of the capability of calamity-prone areas in the maintenance of public order during disaster, among the respondents, the barangay officials (n=180) and the residents (n=379) in the disaster-prone municipalities in Oriental Mindoro. A structure questionnaire was crafted based on study questions. In this study, stratified proportional random sampling was carried out for the selection of resident respondents. In contrast, total enumeration was used for barangay officials, including the chief of the barangay tanods in each barangay of the calamity-prone areas of the province under study. The weighted mean was used to evaluate the respondents’ level of disaster resilience and the extent of capability of calamity-prone areas in the maintenance of public order during disaster. Results showed the high extent of capability in the maintenance of public order during disaster in disaster-prone municipalities is indicative of the effective implementation of policies on disaster preparedness and the management of disaster risk reduction. The local government units may adopt the comprehensive resilience program based on the findings of this study to further enhance disaster resilience and disaster risk reduction management.

Spatial-temporal evolution mechanism and dynamic simulation of the urban resilience system of the Guangdong-Hong Kong-Macao Greater Bay Area in China

As the population and industries continue to gather in cities, such cities face acute shocks caused by various natural disasters and high pressure caused by human interference. The means of accurately assessing and improving the level of urban resilience (UR) to cope with disturbances and shocks, enhance regional resilience, and improve sustainable urban development has become a hot topic. In this study, we constructed an UR assessment framework using “social-economic-institutional-ecological-engineering” to explore the dynamic evolution of spatial and temporal patterns in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) of China, to reveal the main factors influencing the evolution of this spatial pattern and the strength and interaction mechanisms among such influencing factors and to dynamically simulate the spatial and temporal evolution characteristics in the next 16 years. The results show that from 2000 to 2019, the difference in UR level in the GBA is obvious. Hong Kong and Macao are obviously ahead of other cities, and the comprehensive resilience level of Guangzhou and Shenzhen cities in the mainland is developing rapidly. The difference in per capita consumption capacity, industrial structure optimization, foreign trade vitality, infrastructure support and other factors are the main causes of the spatial differentiation of UR in the GBA. In the future, the UR level of the GBA urban agglomeration will show an overall upwards trend. The three development poles of Guangzhou-Foshan, Shenzhen-Hong Kong, and Zhuhai-Macao have obvious advantages in spatial distribution. The results of the study can enrich regional UR research, and also provide theoretical references to facilitate the high-quality development of the area.

Quantifying the resilience of ICT-enabled grid services in cyber-physical energy system

Information and Communication Technology (ICT) is vital for the operation of modern power systems, giving rise to Cyber-Physical Energy Systems (CPESs). ICT enables the grid services (GSs) needed for monitoring and controlling the physical parameters of the power system, especially for remedying the impact of disturbances. But the ICT integration makes the overall system more complex, leading to new and unforeseen disturbances. This motivates the need for a resilient system design capable of absorbing and recovering from such disturbances. The current state of the art lacks a comprehensive resilience assessment of ICT-enabled GSs in CPESs. To address this, a novel method and metrics to assess the resilience of GSs in CPESs are presented in this paper. An operational state model of a GS, with three states, i.e., normal, limited and failed, is used to capture its performance, which is essential for quantifying its resilience. Sequential Monte Carlo simulations are performed with the model to capture the behaviour of ICT components to compute the operational state trajectory of the GSs. Metrics are then derived to quantify the resilience and its constituting phases. The method is demonstrated using two ICT system designs for the CIGRE MV benchmark grid, considering the state estimation as an exemplary GS. The simulation results show that the proposed method can capture the differences between ICT system designs with regard to resilience metrics. The contribution can, therefore, be used to analyse, compare and potentially improve the resilience of ICT system designs for CPES.

Recovery Strategies for Urban Rail Transit Network Based on Comprehensive Resilience

To enhance the resilience of urban rail transit networks in dealing with interference events and facilitating rapid network recovery, this paper focuses on studying damaged urban rail transit networks and proposes comprehensive resilience evaluation indexes for urban rail transit networks that take into account two dimensions: network topology and passenger travel path selection. A bi-level programming model is constructed to maximize the comprehensive toughness, where the upper-level model is an integer planning model for determining the optimal recovery sequence of the affected stations under interference events that result in station closure or inoperability. The lower-level model is a passenger flow allocation model aiming to minimize travelers’ impedance. A genetic algorithm and Dijkstra’s labeling algorithm are used to solve the upper model as well as the shortest path of the lower model, respectively. Using a real-world urban rail transit network as an example, this research applies different recovery strategies, random recovery, node importance-based recovery, and comprehensive toughness-based recovery, across five common interference scenarios to analyze the recovery sequence of stations in each scenario. The modeling results show that the comprehensive toughness-based restoration strategy yields the most favorable results for the rail transportation network, followed by the node importance-based restoration strategy. In addition, the network’s toughness varies more significantly when employing different restoration strategies during target interference, as compared to the random and range interference scenarios.

Evaluation of Urban Resilience of China’s Three Major Urban Agglomerations Using Complex Adaptive System Theory

By 2050, a majority of the global population will reside in urban agglomerations. Intensifying natural hazards are posing serious challenges to populations within the urban agglomerations. Therefore, it is critical to evaluate the resilience of urban agglomerations to natural hazards. However, the urban resilience of China’s three major urban agglomerations, Beijing–Tianjin–Hebei (BTH), the Yangtze River Delta (YRD), and Guangdong–Hong Kong–Macao Greater Bay Area (GHMB), is not properly determined. To enhance the evaluation of comprehensive resilience in complex urban agglomerations and improve adaptability in the face of uncertain risks, this paper adopts the theory of complex adaptive systems to reveal the driving factors behind resilience. We developed a model for measuring disaster severity, exposure, bearing capacity, recoverability, and learnability. Furthermore, spatial autocorrelation analysis was employed to explore the distribution patterns of resilience and devise strategies for enhancement. The results indicate that the average urban resilience value of the three major urban agglomerations was 0.5061. The average urban resilience values for BTH, YRD, and GHMB are 0.5331, 0.5116, and 0.4612. We found BTH having the highest resilience level, followed by YRD and GHMB. Within BTH, the resilience level was the highest in the northern part of BTH, but the overall resilience of the southern cities should be improved by enhancing Shijiazhuang’s central role. We also found higher resilience level in northwest YRD than in southeast YRD due to lower population density and lower disaster exposure in northwest YRD. However, we found obscure spatial patterns of urban resilience within GHMB, i.e., higher urban resilience in east and west GHMB and lower urban resilience level in central GHMB. This study presents different urban resilience levels over three urban agglomerations, providing background information for urban planning and urban mitigation to natural disasters in a warming climate.

Enhancing Supply Chain Resilience in Coal Mining: A Comprehensive Systematic Literature Review to Managing Disruptions

Supply chain risk and uncertainty are critical factors that impact coal mining operations. Risks can arise from various sources such as natural disasters, supplier disruptions, market fluctuations, regulatory changes, and geopolitical uncertainties (Marzouk et al., 2022; Pettersen-Sobczyk, 2018). Managing these risks involves identifying, assessing, and implementing measures to mitigate and minimize potential losses. Uncertainties, on the other hand, stem from the lack of predictability or knowledge about future events and outcomes. They represent a level of unpredictability and the potential for surprises or unexpected events that can impact the supply chain. Overcoming uncertainties requires a resilient supply chain capable of preparing for unexpected events, responding to disruptions, and recovering from them while maintaining operational continuity (Adobor, 2020; Gunasekaran et al., 2015). Resilience capability allows a company to restore its operations to their original or desired state after being disturbed (Chowdhury & Quaddus, 2017). However, despite the abundance of literature proposing resilience frameworks in supply chain management, their application within the context of coal mining remains relatively limited (Agrawal & Pingle, 2020; Belhadi et al., 2022). Existing research in the field of coal mining has primarily focused on operational efficiency, cost reduction, and production optimization, with limited attention given to the concept of resilience. Therefore, this research aims to address this gap by developing a comprehensive resilience framework specifically tailored to the mining supply chain, with a focus on coal mining company. By incorporating the unique characteristics and challenges of the mining industry, such as geological uncertainties, complex extraction processes, and environmental regulations, this framework will provide valuable insights and strategies for enhancing the resilience capabilities of coal mining company. Keywords: Supply chain resilience, Coal mining, Disruptioin, Risk mitigation, Systematic literature review

Performance Measure–Based Framework for Evaluating Transportation Infrastructure Resilience

Despite many organizations recognizing the need for more comprehensive resilience planning for transportation infrastructure, the United States still lacks a standardized planning framework to guide these decisions and prioritize improvements. Therefore, this paper develops and demonstrates the application of a flexible resilience framework that supports transportation resilience decision-making across multiple operational and infrastructure systems. This Performance-based Resilience Evaluation Procedure (PREP) framework calculates comparable resilience scores and can be implemented for any type of transportation infrastructure to assist transportation agencies and community stakeholders in making informed decisions in relation to project prioritization, risk mitigation, asset management, and design for more reliable infrastructure. The PREP framework, comprised of 12 steps organized in five phases, calculates resilience as a weighted probability of hazard events and the impacts of such hazards on measures of performance. Having such a framework is crucial because it allows stakeholders to develop the data-driven knowledge necessary to deliver informed management and planning of the entire transportation infrastructure system against disruptive events.

A resilience assessment framework for existing underground structures under adjacent construction disturbance

Scientifically and reasonably evaluating the safety of existing underground structures under adjacent construction disturbances is of great importance. In this paper, a resilience assessment framework including five steps is proposed to investigate the composite performance and comprehensive resilience of the evaluated structure-stratum system under adjacent construction disturbance. A Performance-Time-Cost three-dimensional space is constructed to interpret the evolution laws of composite performance and recovery costs over time. Using the cross-matrix method from the concept of resilience, the resilience indicator system is constructed. Moreover, the composite performance with multiple indicators of the evaluated system is continuously evaluated using the set pair analysis theory and the combined weights in terms of game theory. Furthermore, the formulas for comprehensive resilience assessment are derived from the perspectives of maximum and cumulative damage of composite performance. Finally, the correctness and rationality of the resilience assessment are verified by engineering applications. The resilience framework proposed in this paper provides theoretical and technical support for the safety state evaluation and control technology of existing underground structures under adjacent construction disturbances.

Assessment of urban population health resilience guided by cardiovascular and cerebrovascular diseases: A case study of Henan Province

Resilience and vulnerability thinking are commonly used to study urban systems, but few apply both to urban population health research. Therefore, this study aims to evaluate urban population health resilience (UPHR) from both positive and negative perspectives by combining resilience and vulnerability thinking, and to explore the current situation and influencing factors of UPHR. We constructed a comprehensive resilience index and a relative vulnerability index for urban population health by using a socio-economic-demographic-environmental complex system (SEDECE) and a pressure-state-response (PSR) model. We used a combination of four methods, including entropy weight method (EWM), the criteria importance through intercriteria correlation (CRITIC), simple additive weighting (SAW), and technique for order preference by similarity to an ideal solution (TOPSIS), to ensure the robustness of the indices. Finally, the effectiveness and practicality of the index by studying the spatial relationship and correlation between the incidence of cardiovascular and cerebrovascular diseases (CCVD) and the index in 122 counties of Henan Province. The results show that the indicators and calculation methods are robust and effective, and the comprehensive resilience index and vulnerability index reflect the resilience of urban population health from positive and negative perspectives, respectively, and emphasize the important role of air quality in both indices. In addition, urbanization rate, health facilities, medical and social security, and the proportion of elderly population have a greater contribution to the comprehensive resilience index (CRI), and industrial structure has a greater impact on the relative vulnerability index (RVI). This study can provide reference for relevant regions to improve the resilience of their population health and reduce health pressure.

Framework for a City’s Performance Assessment in the Case of an Earthquake

A comprehensive assessment of a city’s vulnerability and resilience is a prerequisite for an effective response to a natural disaster, such as an earthquake. However, an appropriate method for assessing the seismic performance of a complex urban system is still being researched. To address this gap, the purpose of this paper is to introduce a method for seismic performance assessment of a city as a socio-physical system. Therefore, various studies of individual urban components and their interactions were combined into a holistic framework and presented in a case study of a small mid-European town. The seismic vulnerability of the building inventory was assumed or assessed based on the fragility curves adopted from the literature on similar European building stock. Seismic scenarios of different earthquake intensity (PGA of 0.15 g and 0.30 g) combined with conservative and risky approaches were applied. Considering the human perspective, urban performance was evaluated on the basis of accessibility to urban services that satisfy basic human needs (for survival and protection) via graph theory measures of global efficiency and the shortest path. The temporal aspect (before the earthquake, immediately after it, after evacuation, and after recovery) was also included to obtain a comprehensive resilience assessment. It turned out that a stronger earthquake (PGA of 0.30 g) would have far-reaching consequences for the urban performance of the investigated town, and the old city center would be particularly affected. Following the event, the system’s performance is less than half as effective compared to the initial level, indicating a sharp deterioration in the quality of life as reflected in the possibility of meeting basic human needs.

A comprehensive resilience assessment framework for hydrogen energy infrastructure development

In recent years, sustainable development has become a challenge for many societies due to natural or other disruptive events, which have disrupted economic, environmental, and energy infrastructure growth. Developing hydrogen energy infrastructure is crucial for sustainable development because of its numerous benefits over conventional energy sources. However, the complexity of hydrogen energy infrastructure, including production, utilization, and storage stages, requires accounting for potential vulnerabilities. Therefore, resilience needs to be considered along with sustainable development. This paper proposes a decision-making framework to evaluate the resilience of hydrogen energy infrastructure by integrating resilience indicators and sustainability contributing factors. A holistic taxonomy of resilience performance is first developed, followed by a qualitative resilience assessment framework using a novel Intuitionistic fuzzy Weighted Influence Nonlinear Gauge System (IFWINGS). The results highlighted that Regulation and legislation, Government preparation, and Crisis response budget are the most critical resilience indicators in the understudy hydrogen energy infrastructure. A comparative case study demonstrates the practicality, capability, and effectiveness of the proposed approach. The results suggest that the proposed model can be used for resilience assessment in other areas.

Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China

The outbreak of the coronavirus disease 2019 (COVID-19) epidemic has resulted in large threats and damage to society and the economy. In this study, we evaluate and verify the comprehensive resilience and spatiotemporal impact of the COVID-19 epidemic from January to June 2022 in mainland China based on multisource data. First, we adopt a combination of the mandatory determination method and the coefficient of variation method to determine the weight of the urban resilience assessment index. Furthermore, Beijing, Shanghai, and Tianjin were selected to verify the feasibility and accuracy of the resilience assessment results based on the nighttime light data. Finally, the epidemic situation was dynamically monitored and verified with population migration data. The results show that urban comprehensive resilience of mainland China is shown in the distribution pattern of higher resilience in the middle east and south and lower resilience in the northwest and northeast. Moreover, the average light intensity index is inversely proportional to the number of newly confirmed and treated cases of COVID-19 in the local area. This study provides a scientific reference to improve the comprehensive resilience of cities to achieve the goals of sustainable development (SDGs 11): make cities and human settlements resilient and sustainable.

Rural Resilience Evaluation and Influencing Factor Analysis Based on Geographical Detector Method and Multiscale Geographically Weighted Regression

Resilience evaluation is an important foundation for sustainable rural development. Taking the 57 counties in Guangdong province as examples, this study used the CRITIC method to construct a comprehensive evaluation index system for rural resilience and identified the main influencing factors and their spatial heterogeneity on the basis of the geographical detector method and multiscale geographically weighted regression. The results showed that: (1) Most of the counties in Guangdong province had medium or higher values of comprehensive resilience, and the high-value areas were mainly located in the Pearl River Delta region. (2) The comprehensive resilience and each dimensional resilience measure exhibited significant positive spatial correlations. (3) The geographic detector results showed that the per capita gross regional product and the number of industries above the scale were the main influencing factors for rural resilience, and each influencing factor had an enhanced effect after interaction. (4) The effect of each factor on rural resilience demonstrated spatial heterogeneity. Specifically, the proportion of secondary and tertiary industries showed negative effects in some counties in eastern and northern Guangdong and positive effects in other counties.

Long-Term Urban Epidemic and Disaster Resilience: The Planning and Assessment of a Comprehensive Underground Resilience Core

This study utilizes the enclosed and stable environment of underground space for long-term sustainable planning for urban epidemics and disasters. Owing to the COVID-19 epidemic, cities require long-term epidemic–disaster management. Therefore, this study proposed a strategy for integrating multiple functions to plan a comprehensive Underground Resilience Core (URC). A planning and assessment methods of URC were proposed. With this methodology, epidemic- and disaster- URCs were integrated to construct a comprehensive-URC in underground spaces. The results show: (1) Epidemic-resilient URCs adopting a joint progressive approach with designated hospitals can rapidly suppress an epidemic outbreak. (2) The regularity of the morphology of underground spaces determines the area of the URC. Bar-shaped underground spaces have the potential for planning disaster-URCs. (3) The URC planning efficiency ranking is as follows: Bar shapes lead overall, T shapes are second under seismic resilience, and Cross shapes are second under epidemic resilience. (4) The potential analysis of planning a comprehensive-URC in the underground parking in Chinese cities showed that the recovery time can be advanced from 29% to 39% and the comprehensive resilience can be improved by 37.63%. The results of this study can serve as sustainable urban planning strategies and assessment tools for long-term epidemic–disaster management.

Evolution of Urban Resilience from a Multiscale Perspective: Evidence from Five Provinces in Northwest China

As a new idea of urban risk management, building resilient cities with the ability to resist, eliminate, and adapt to uncertain risks is of great importance to mitigate risk impacts and promote sustainable urban development. Based on the adaptive cycle model and the characteristics of an urban system, this study analyzes the resilience levels of cities, urban agglomerations, and provinces and their adaptive stages. The results show that (1) the comprehensive resilience of cities in the five provinces of northwest China is on the rise and that the differences between cities are gradually narrowing. The development stages of the urban adaptive cycle can be divided into six stages: the rapid exploitation stage, exploitation-conservation stage, stable conservation stage, conservation-release stage, development reorganization stage, and reorganization-exploitation stage. (2) The spatial distribution of the comprehensive resilience of urban agglomerations is “high in the southeast and low in the northwest,” and the development stage of the adaptive cycle is consistent with its central city or central region. (3) The level of resilience varies greatly among provinces, and the development stage of the adaptive cycle is equivalent to the average level of all cities in the province and is closely related to their respective development forces and urban problems. These findings can provide reference for policymakers to formulate scientific resilience building strategies to achieve regional sustainable development.

Resilience Evaluation of Ports along the Maritime Silk Road from the Perspective of Investment and Construction

Since the establishment of the “Belt and Road” initiative, the investment and construction of ports along the 21st Century Maritime Silk Road have received extensive attention from the international community. The evaluation of ports is of great significance to investors’ investments and construction of ports around the world, so it is very necessary to establish a reasonable port evaluation system. At present, there are few studies on defining and evaluating port resilience, and the existing port evaluation index system has defects. Therefore, according to the similarity between cities and ports, this paper introduces the concept of “three-dimensional space” and the “system of systems” theory of cities and divides the resilience of ports along the Maritime Silk Road into three-dimensional spaces of “physical-society-information.” The CRITIC-entropy method and the TOPSIS method constructed a port resilience evaluation model along the Maritime Silk Road and quantitatively evaluated and analyzed the comprehensive resilience and subspatial resilience of 28 ports along the 21st Century Maritime Silk Road. The results show that the route network port degree, the annual throughput of the port container, and the number of fixed broadband subscribers per 100 people are the key indicators that affect the port’s physical space resilience, social space resilience, and information space resilience. Also, coordinated physical, social, and information spatial resilience development plays a catalytic role in improving overall resilience. Therefore, the investment of ports along the Maritime Silk Road should adopt corresponding and more targeted investment plans according to the actual resilience of each port. The research provides new ideas and directions for investors to invest in port construction and has certain practical guiding significance for the increase of investors’ income and the sound development of the national economy.

An integrative socio-hydrological resilience assessment and management implications for oasis sustainability in arid regions, Northwest China

Study regionThe oases of the lower reaches of inland river basin in south Xinjiang, Northwest China Study focusThe increase of man-made water demands has led to water shortage and water pollution issues worldwide. It is important to determine the contributions of oasis change to socio-hydrological system resilience for oasis sustainability in arid regions. This study proposes an integrative socio-hydrological resilience assessment framework to examine the relationships between oasis evolution and system resilience at spatial-temporal scales. Hooke's Law and parallelogram law are adopted to quantitatively evaluate the resilience of drought, water resource utilization and water pollution, and comprehensive resilience of socio-hydrological system. Meanwhile, the impact of oasis expansion on socio-hydrological system resilience is quantified. New hydrological insights for the regionThe research and application of oases in Hotan prefecture of northwest China have proved that the proposed framework is very promising for assessing the relationships between oasis evolution and socio-hydrological system resilience in arid regions. During the study period from 2009 to 2018, The oases show “expansion-contraction-expansion” trends. There is significant negative correlation between oasis change and system resilience. The population size, socioeconomic development level and structure of cultivated land are the main factors affecting the oasis area and system resilience. The expanded agricultural irrigation reduces the resilience of socio-hydrological system. The water pollution has gradually affected oasis sustainability and system resilience. This study also provides a management implication concerning the impact of water pollution on the oasis sustainability in the future work.