Hangzhou Research Articles

Improvement of spatial-temporal urban heat island study based on local climate zone framework: A case study of Hangzhou, China

Large-scale long-period urban heat island (UHI) intensity (UHII) prediction with high spatiotemporal resolutions, satisfactory accuracy, and calculation efficiency is crucial and challenging for UHI mitigation studies. This study proposes a framework combining an urban weather generator (UWG), local climate zone (LCZ), deep-learning method, and Python automatic cyclical calculation to obtain hourly UHII throughout one year and over a total of 1920 blocks in Hangzhou City. The spatial-averaged hourly UHII are between −2 °C and 6 °C in more than 96 % time, and those at 0 °C–1 °C contribute to 43.80 % of the total time. Spring gives the most intense nocturnal UHII, while winter has the weakest one. A significant diurnal UCI phenomenon could accompany the strong nocturnal UHI phenomenon. From the synthetic (based on seasonal data) 24-h curves, mean UHII and UCII (average of the positive and negative values, respectively) drop by approximately 25 % in winter compared to spring. Spatially, UHII is higher in the central regions with compact buildings but significantly lower in the high-vegetation-coverage regions. Based on LCZ framework, LCZ 1 (compact high-rise configurations) has the highest UHII, independent of examined periods. UHII relations to building coverage, vegetation ratio, and building height are individually quantified. The building coverage has the highest influence on annual UHII, with a correlation coefficient as high as 0.76. Results indicate that, for UHI mitigation purposes, the percentage of compact high-rise configurations (LCZ 1) in the urban area shall be limited, and the vegetation ratio is better to be greater than 20 %.

Does smart home adoption reduce household electricity-related CO2 emissions? ——Evidence from Hangzhou city, China

Digital technology has enabled the emergence of smart homes, which promise to provide occupants with a high-quality life while being environmentally friendly. However, occupants’ demand for “comfort” and “convenience” may contradict the purpose of minimizing the carbon footprint of smart homes. Investigating whether smart home adoption can reduce carbon emissions and promote carbon neutrality from a consumer perspective is therefore essential. In this study, 359 valid responses were collected from Hangzhou, a Chinese megacity, as basic data. We established a smart home adoption evaluation index system that enabled us to empirically examine the trend of household electricity-related CO2 emissions with the change in smart home adoption level. We found an inverted U-shaped relationship between the smart home adoption level and household electricity-related CO2 emissions. Smart home adoption causes more CO2 emissions in the initial stage, but reaches a tipping point where higher levels of smart home adoption leads to widespread use of energy-saving smart features and subsequently fewer emissions. Furthermore, this study confirmed the moderating effect of the internet divide on the relationship between smart home adoption and electricity-related CO2 emissions; the results indicate that improving internet accessibility and utilization promotes the commitment to reducing CO2 emissions in smart homes.

Prediction of short-term passenger flow of subway based on LSTM model

With the continuous development of urban rail transit, the subway is becoming the travel choice for more and more people. And the increase in travel demand also brings about the problem of subway congestion. This paper will use the subway card swipe data of Hangzhou City from January 1st to 20th, 2019, which were counted after data cleaning. With root mean square error (RMSE), mean absolute percentage error (MAPE), coefficient of determination (R^2), and loss values as standards, the long short-term memorys (LSTM) parameters were adjusted. The LSTM model is trained with time and passenger flow data, and the model is used to predict the short-term passenger flow in and out of subway stations. From the prediction results, the LSTM model has a good adaptability to the subway station short-term passenger flow. The trend of the predicted line is the same as the real value, and the difference is also controllable. The short-term passenger flow prediction of subway stations is beneficial to reduce the loss caused by congestion and improve the travel efficiency of residents.

“Out of Place”: Cross-Cultural Collaboration and Virtual Space

Through the lens of the exhibition “Out of Place” (OOP), this paper investigates the commonalities between textile practices in the post-industrial cities of Manchester, UK and Hangzhou, China. By considering works that may exist on the periphery of textile practice, questions are raised concerning the shifting notion of textiles, particularly in regions that have deep textile histories. Through the reflections of Kate Egan, who curated the exhibition, and drawing upon the research of the fellow authors and their situatedness in Manchester, this article explores the notion of a virtual space in relation to the methods of communication employed throughout the Manchester-Hangzhou collaboration. Virtual space is presented here as an environment in which “textile narratives” take shape within and across different sites, examining contemporary methods of communication, collaboration and curation. Connecting Manchester and Hangzhou with this virtual space, the article expands the dialogue between artists at Manchester School of Art and China Academy of Art by reflecting on a common language of textiles and our contemporary manifestations of material culture.

Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults

BackgroundGreenness surrounding residential places has been found to significantly reduce the risk of diseases such as hypertension, obesity, and metabolic syndrome (MetS). However, it is unclear whether visible greenness exposure at the workplace has any impact on the risk of MetS. MethodsVisible greenness exposure was assessed using a Green View Index (GVI) based on street view images through a convolutional neural network model. We utilized logistic regression to examine the cross-sectional association between GVI and MetS as well as its components among 51,552 adults aged 18–60 in the city of Hangzhou, China, from January 2018 to December 2021. Stratified analyses were conducted by age and sex groups. Furthermore, a scenario analysis was conducted to investigate the risks of having MetS among adults in different GVI scenarios. ResultsThe mean age of the participants was 40.1, and 38.5% were women. We found a statistically significant association between GVI and having MetS. Compared to the lowest quartile of GVI, participants in the highest quartile of GVI had a 17% (95% CI: 11–23%) lower odds of having MetS. The protective association was stronger in the males, but we did not observe such differences in different age groups. Furthermore, we found inverse associations between GVI and the odds of hypertension, low high-density lipoprotein cholesterol, obesity, and high levels of FPG. ConclusionsHigher exposure to outdoor visible greenness in the workplace environment might have a protective effect against MetS.

Adult female callers’ characteristics and mental health status: a retrospective study based on the psychological assistance hotline in Hangzhou

ObjectiveThis study aims to analyze the basic characteristics and mental health status of adult female callers to the psychological assistance helpline in Hangzhou City, in order to provide targeted services for effectively intervening in the psychological crises of this group.MethodsData from adult female callers to a helpline in Hangzhou City were collected between 2019 and 2022, encompassing demographic information and discussed issues. The data were analyzed according to age groups, marital status, and call times. The mental health status of the adult female population was measured by two indicators—mood status and suicide risk.ResultsThe study included 15,580 adult female callers. Among them, 52.2% were aged 30 and below, 62.1% were unmarried, and 42.6% were from other provinces. The primary types of calls were related to mental health (56.5%), romantic relationships (11%), and marriage/family issues (13%). Adults aged 30 and below had more consultations about romantic relationships, work, and study-related issues compared to those over 30. Those over 30 sought more advice on marriage/family and child education. Younger callers displayed higher levels of depression and suicide risk compared to older callers. Unmarried callers had a higher proportion of moderate depression and suicide risk than married callers. Higher education levels were associated with lower depression levels (OR = 0.631,95%CI:0.439–0.906, P = 0.013) and high-risk proportions (OR = 0.328,95%CI:0.147–0.733, P = 0.007). Late evening callers had a higher high-risk proportion (OR = 5.326,95%CI:2.633–10.775, P < 0.001), and employed individuals had lower high-risk proportions compared to unemployed callers (OR = 0.536,95%CI:0.320–0.897, P = 0.018).ConclusionThe mental health status of female callers aged 30 and below, unemployed individuals, and those calling in the latter part of the night have relatively poorer mental health and are more likely to be at risk for suicide, which needs to be taken seriously, and more professional and targeted intervention services need to be enhanced in the hotline.

Regional Risk Assessment for Urban Major Hazards Using Hybrid Method of Information Diffusion Theory and Entropy

Urban regional risk is a complex nonlinear problem that encounters insufficient information, randomness, and uncertainty. To accurately assess the overall urban risk, a regional risk assessment model for urban public safety was proposed by using the information diffusion theory. The entropy theory was employed to optimize the information diffusion model to reduce the uncertainty. A framework of urban regional risk assessment model based on information diffusion and entropy was constructed. Finally, a case study of Hangzhou city in China was presented to demonstrate the performance of the proposed method. Results showed that the proposed method could successfully estimate the urban regional risk of Hangzhou city. The risk levels and probabilities of different hazard indicators were basically consistent with reality. The hazards with respect to industrial and mining accidents and road traffic accidents were extremely serious. More than 80 deaths from industrial and mining accidents would occur almost every 3 years, and more than 400 deaths of RTA would occur almost every 2.6 years. Moreover, centralized intervals of the risk level associated with five hazards were found, where urban risks were more likely to happen and had higher vulnerability. It could provide guidance for the government’s urban safety management and policy-making.

Multi-trucks-and-drones cooperative pickup and delivery problem

This study aims to propose a decision methodology on scheduling trucks and drones for truck-and-drone cooperative delivery and pickup system. A fleet contains multiple truck groups; each truck group is a truck with carrying multiple drones. The fleet serves a set of dispersed customers who have the requirements of pickup and delivery services as well as their due time for service. A mixed-integer linear programming (MILP) model is formulated in this study for routing the trucks and drones in the fleet so that each customer’s pickup or delivery requirements could be served by either a truck or a drone before their required due time. For solving the MILP model efficiently, this study designs a novel hybrid algorithm by combining the column generation and the logic-based Benders decomposition. Based on the main frame of column generation algorithm, the hybrid algorithm uses logic-based Benders decomposition to solve the pricing problem, and dynamic programming to solve subproblems of logic-based Benders decomposition for the purpose of accelerating the whole algorithm’s solving process. Numerical experiments are also conducted on the context of the Hangzhou city so as to validate the efficiency of the proposed hybrid algorithm. Some managerial implications are also derived on the basis of some sensitivity analysis. The proposed methodology, i.e., the MILP model and the novel hybrid algorithm, is potentially useful for platform operators who run the truck-and-drone based urban delivery systems.

Emerging and traditional organophosphate esters in office air from Hangzhou, East China: Seasonal variations, influencing factors and human exposure assessment

Eight emerging and six traditional organophosphate esters (OPEs) were investigated in office air from Hangzhou China with all the traditional OPEs and 5 out of 8 emerging OPEs detected. The median concentrations of ∑traditional OPEs and ∑emerging OPEs were 61,200 and 5.81 pg/m3, respectively. Butylphenyl diphenyl phosphate (BPDPP) and trisisopropyltrisphenyl phosphate (TIPPP) were observed for the first time in indoor air and Chinese office, respectively. The levels of ∑traditional OPEs decreased in the following order: summer > autumn > spring > winter. Conversely, no obvious trends were observed for emerging OPEs. ∑traditional OPEs (p < 0.001) and tri(chloroisopropyl) phosphate (TCIPP) (p < 0.01) concentrations were positively correlated with temperature. Interestingly, ∑emerging OPEs and the individual emerging OPEs analytes had no significant correlations with temperature (p > 0.05). ∑traditional OPEs, tris(2-chloroethyl) phosphate (TCEP) and TCIPP levels were significantly positively correlated with relative humidity (p < 0.05), while ∑emerging OPEs levels were negatively correlated with relative humidity (p < 0.05). Median intakes of traditional OPEs were estimated to be several orders of magnitude lower than the corresponding Reference Dose (RfD) values. The distinct environmental behaviors of emerging OPEs compared to traditional OPEs, coupled with the lack of established RfD values for them, underscore the need for their risk evaluations in future.

The spatial and temporal evolution of surface temperature in the main urban area of Hangzhou from 1990 to 2020 based on GEE

In this study, remote sensing (RS), geographic information system (GIS), Google Earth Engine (GEE), and mathematical analysis methods are applied to study the evolution and development trend of land surface temperature in Hangzhou. The GEE platform used in this study, which can fit remote sensing images of multiple regions under different spatial and temporal conditions, has the advantages of wide range and timeliness, and enables the study area to cover the entire Hangzhou city. The purpose of this study is to study the evolution of surface temperature in Hangzhou from 1990 to 2020 using a combination of remote sensing inversion and GIS spatial analysis, and to combine a variety of geostatistical analysis methods to specifically study the trend of surface temperature change and urban heat island development in Hangzhou in order to improve the local people’s life and local environment.

Trend of the Tuberculous Pleurisy Notification Rate in Eastern China During 2017-2021: Spatiotemporal Analysis.

Tuberculous pleurisy (TP) presents a serious allergic reaction in the pleura caused by Mycobacterium tuberculosis; however, few studies have described its spatial epidemiological characteristics in eastern China. This study aimed to determine the epidemiological distribution of TP and predict its further development in Zhejiang Province. Data on all notified cases of TP in Zhejiang Province, China, from 2017 to 2021 were collected from the existing tuberculosis information management system. Analyses, including spatial autocorrelation and spatial-temporal scan analysis, were performed to identify hot spots and clusters, respectively. The prediction of TP prevalence was performed using the seasonal autoregressive integrated moving average (SARIMA), Holt-Winters exponential smoothing, and Prophet models using R (The R Foundation) and Python (Python Software Foundation). The average notification rate of TP in Zhejiang Province was 7.06 cases per 100,000 population, peaking in the summer. The male-to-female ratio was 2.18:1. In terms of geographical distribution, clusters of cases were observed in the western part of Zhejiang Province, including parts of Hangzhou, Quzhou, Jinhua, Lishui, Wenzhou, and Taizhou city. Spatial-temporal analysis identified 1 most likely cluster and 4 secondary clusters. The Holt-Winters model outperformed the SARIMA and Prophet models in predicting the trend in TP prevalence. The western region of Zhejiang Province had the highest risk of TP. Comprehensive interventions, such as chest x-ray screening and symptom screening, should be reinforced to improve early identification. Additionally, a more systematic assessment of the prevalence trend of TP should include more predictors.

The spatial linkage of Taobao Villages in Haining City based on the operation process

As an industrial phenomenon with rich Chinese characteristics, Taobao Villages have formed a complete industrial chain from production to sale and core goods to supporting industries, bringing extensive spatial linkage and profound influence. Through questionnaire surveys and interviews, the paper obtained first-hand data on Taobao Village stores in Haining City and explored the spatial linkage characteristics of Taobao Village’s industrial chain from the operation process perspective. The results revealed that the operation process of online stores can be divided into four core parts: research & development or sampling, production or purchasing, online sale, and delivery. The main operation parts of self-production and sales stores and local-dependent online market-oriented stores were in Haining City, forming close industrial linkages, whereas for nonlocal-dependent online market-oriented stores, only a few parts of the operation process were in Haining. Accordingly, Taobao Villages and Haining City undertook all parts of the operation, becoming a complex space and also the main area realizing a strong spatial linkage among Taobao Villages. The area outside Jiaxing City is mainly a sales market (Hangzhou City provides a sales platform), and their connection with Taobao Village relies primarily on the Internet. To form a more extensive spatial linkage and play a leading role, Haining City should encourage the self-production and sales stores and local-dependent online market-oriented stores to create a locally-rooted production system or industrial cluster.

Analysis of the reentry status of blood donors with reactive bloodborne pathogen screening markers in Hangzhou City

Objective: To explore the reentry rate of reactive blood donors in the bloodborne pathogen infection screening in Hangzhou City, and analyze the donation behavior of those who successfully returned. Methods: A retrospective analysis of the return data of blood donors with reactive bloodborne pathogen screening markers was conducted at Zhejiang Provincial Blood Center from June 2017 to May 2022. The reentry process for blood donors with reactive bloodborne pathogen screening markers in Hangzhou City is as follows: after the initial screening period of 6 months, donors can voluntarily apply for return to the blood center. Samples are collected and subjected to routine enzyme-linked immunosorbent assay (ELISA) screening for HBsAg, anti-HCV, HIV Ab/Ag, and anti-TP, as well as a single nucleic acid (HIV/HCV/HBV) test. For samples that show non-reactivity in both ELISA and nucleic acid tests, serum biomarker testing for the reasons of exclusion is performed using chemiluminescence immunoassay (CLIA), and those with non-reactivity are allowed to return. Results: A total of 4 583 reactive blood donors who met the criteria for re-entry applied for reentry, out of which 475 applications were received from donors in the Hangzhou area. Among these, 279 donors were successfully readmitted, resulting in a success rate of 58.74% (279/475). By the end of December 2021, out of the 174 donors who successfully returned, 114 donors chose to donate again. They collectively donated 39 530 ml of whole blood and 1 147.2 therapeutic doses of platelets. Among these, 21 donors once again showed reactivity for pathogen infection biomarkers, accounting for 18.42% (21/114). Conclusion: The reentry strategy has somewhat mitigated the attrition of blood donors. Nevertheless, there are instances where donors who were successfully readmitted show reactivity once more in the screening for pathogen infection biomarkers.

A Sustainable Evaluation Study Based on Emergy–Geographic Information System (GIS) Methodology in Hangzhou City from 2010 to 2035

Sustainability studies are vital for the long-term development of ecological cities. For cities, single qualitative or quantitative evaluation studies cannot effectively illustrate the ecological and sustainable status of a city. This study employs the emergy–geographic information system (GIS) method to conduct a sustainability evaluation of a city, so as to effectively verify the evaluation results. The emergy method and GIS are both commonly used approaches to address urban issues, but their synergistic effect has rarely been considered, explored, and utilized in urban planning. This study aims to investigate this effect on Hangzhou city through comparative analysis. The results show that rain (geopotential energy) and rain (chemical potential energy) have the highest emergy values from 2000 to 2035, followed by solar emergy, wind emergy, and geothermal heat emergy. These findings are also supported by the GIS map that shows a similar pattern with renewable emergy. Using the five plots (cropland, woodland, grassland, water area, and built-up land) on the GIS map as examples, the accuracy of emergy calculation results for Hangzhou city can be verified, demonstrating the effectiveness of the emergy–GIS methodology. This research provides practical recommendations for city designers and professionals worldwide on urban sustainability. By incorporating both emergy and GIS methods, cities can make informed decisions toward achieving environmentally sustainable development.

Increased incidence risks of cardiovascular disease among cancer patients: Evidence from a population-based cohort study in China

BackgroundCardiovascular disease (CVD) is becoming a major concern among cancer patients, leading to the development of a new field named cardio-oncology. However, previous studies were mainly based on the western population and focused on CVD mortality. Evidence from the Chinese population is limited. Furthermore, few studies investigated the incidence risks of CVD among cancer patients. Methods85,787 eligible cancer patients were included from Hangzhou city, China. Age-standardized standard incidence ratio (SIR) was used to reflect the incidence risks of CVD among cancer patients as compared with the standard population, which was defined as all residents in Hangzhou city during the same period. ResultsAfter three years of follow-up, cancer patients showed elevated incidence risks of CVD (SIR = 1.41, 95%CI: 1.35–1.47) as compared with the standard population. The elevated risks of CVD were highest in the first year after cancer diagnosis (SIR = 1.68, 95%CI: 1.58–1.78), then followed by the second (SIR = 1.21, 95%CI: 1.11–1.31) and the third (SIR = 1.18, 95%CI: 1.07–1.29) year. These results were consistent in males and females. Furthermore, different risks of CVD were observed among different cancer sites. Patients with pancreatic cancer showed the highest risks of CVD, then followed by liver cancer, lung cancer, kidney cancer, gastric cancer, bladder cancer, prostate cancer, and colorectal cancer. ConclusionsCancer patients have increased incidence risks of CVD, especially in the first year after cancer diagnosis. The increased risks of CVD vary by different cancer sites. Our findings highlight the importance of paying close attention to the CVD risks among cancer patients.

Urban household adaption to natural hazards in Hangzhou City, China

Household adaption to natural hazards has been critical in disaster prevention and mitigation in disaster-prone regions. However, the adaption of urban household to natural hazards is not yet fully understood, especially in the subtropical forested region of Southeast China. In this study, we investigated the urban household adaption to natural hazards in the forested region of southeastern China by using a multinomial logistic regression model to analyze 763 urban household questionnaire responses from 6 districts in Hangzhou City, Zhejiang province. The results indicated that (1) from high to low, the top 6 natural hazards deeply concerned by urban household of Hangzhou City were typhoon, rainstorm, lightning, flood, low temperature disaster and snow disaster and (2) gender, length of family residence, disaster awareness and household satisfaction all significantly influenced the urban household adaption to natural hazards. This study suggested that Government should improve channels for disaster publicity, strengthen community management and promote social emergency construction in future decades.

Spatio-temporal characteristics of cultural ecosystem services and their relations to landscape factors in Hangzhou Xixi National Wetland Park, China

AimsCultural ecosystem services are important component of ecosystem services which play increasingly important roles in enhancing human well-being. Hangzhou Xixi National Wetland Park (hereafter referred to as Xixi Wetland), the first National Wetland Park of China located in Hangzhou City of the Yangtze River Delta urban agglomerations, plays a fundamental, leading and exemplary role in the ecological construction of urban wetland ecosystems. This paper aims to reveal spatio-temporal characteristics of its cultural ecosystem services and their relations to landscape factors. MethodsFirst, the sets of photographs which were uploaded by tourists in 2019 from the two-step website, were used as the data source. Then, we established the corresponding index framework and evaluation model of cultural ecosystem services basing on previous case studies. The social media photo analysis method was used to collect information about the captured images. By means of the ArcGIS software, we visualized the spatial distribution hotspots of different aspects of cultural ecosystem services in Xixi Wetland, and their differences in tourists' perceptions were obtained. Principal component analysis was used to analyze the correlation between cultural ecosystem services and landscape factors. ResultsThe result showed that most of social media photos were shared to present aesthetic values along with recreation and ecotourism and infrastructure appreciation. Besides, for the landscape elements appearing in the photographs, biological landscape had the highest frequency (40.8%, n = 2667). We found that different types of cultural ecosystem services have different kernel density distributions and perception levels, and also affected by seasonal scales. Besides, there were significant positive spatial correlations between different items of cultural ecosystem services. Among which, the strongest correlations were observed between aesthetic and infrastructure appreciation. In addition, there were spatial correlations between cultural ecosystem services and landscape factors. ConclusionsWe concluded that the spatial distribution of cultural ecosystem services in Xixi Wetland presents different patterns under the influence of landscape heterogeneity and seasonal time dimension. There was a correlation between different types of cultural ecosystem services and most landscape factors, indicating that tourists have certain preferences when they perceive cultural ecosystem services.

Measurement and Spatial Correlation Analysis of the Development Level of the Digital Economy in the Yangtze River Delta Urban Agglomeration

The Yangtze River Delta Urban Agglomeration (YRDUA) is the core area for the development of China’s digital economy. This paper constructed a five-dimensional evaluation index system and measured the digital economy development level of the YRDUA. A modified gravity model social network analysis was applied to analyze the structure of the digital economy network. The results show that (1) the level of digital economy in the YRDUA has increased during 2011–2021, with Hangzhou having the highest digital economy development level of 0.513 in 2021. (2) The digital economy network density of the YRDUA increased from 0.155 in 2011 to 0.158 in 2016, and then decreased to 0.151 in 2021, showing an “inverted U-shaped” trend of first increasing and then decreasing. (3) Shanghai, Suzhou, Nanjing, Hangzhou, and Wuxi play the role of “bridge” in the digital economy network, and the pattern of linkage development of neighboring cities driven by the central cities of Shanghai, Nanjing, Suzhou, Hangzhou, Ningbo, and Hefei has basically formed. These findings of the study provide data support and reference for the coordinated development of the digital economy in the YRDUA and are of theoretical and practical significance for the synergistic development of cities.

Workplace violence against COVID-19 front-line healthcare workers versus non-front-line in Hangzhou, China: a cross-sectional study

ObjectivesWorkplace violence (WPV) against healthcare workers (HCWs) is a global issue. Our research aimed to elucidate the status and associated factors of WPV among front-line/non-front-line HCWs during the COVID-19 pandemic.DesignThis...

Impacts of urban forests and landscape characteristics on land surface temperature in two urban agglomeration areas of China

Accurate characterization of urban forest change can help quantify its impact on the urban thermal environment. Taking Hangzhou City and Zhaoqing City, China as two cases, we proposed a deep learning-based approach to extract forest/non-forest types using China's Gaofen data and the labels it generates. We then explored the impacts of urban forest patterns on land surface temperature (LST). Our results indicate that Gaofen-1/6 images performed well for urban forest/non-forest mapping with an accuracy of over 90%. We found that afforestation and deforestation exerted a net cooling of -0.62±0.30°C and -1.23±0.26°C and warming of 1.71±0.16°C and 1.29±0.14°C in Hangzhou and Zhaoqing, respectively. Balancing the LST changes of both afforestation and deforestation found total warming due to deforestation, especially in Hangzhou. Latitudinal reduced cooling and enhanced warming were found from Zhaoqing to Hangzhou, which can be explained by strong evaporative effects and inconsistent albedo effects. Moreover, a more pronounced cooling when other types converted to landscape core type and a weaker warming when landscape core type converted to other types were detected, especially in Zhaoqing. This study highlights the importance of designing rational afforestation plans, avoiding deforestation activities, and reducing forest fragmentation in delineating effective climate mitigation strategies.