International journal of disaster risk reduction最新文献

Ground subsidence and disaster risk induced by groundwater overexploitation: A comprehensive assessment from arid oasis regions

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-19 DOI: 10.1016/j.ijdrr.2025.105328

Binbin Fan , Xuguo Shi , Geping Luo , Olaf Hellwich , Xiaofei Ma , Ming Shang , Yuangang Wang , Friday U. Ochege

{"title":"Ground subsidence and disaster risk induced by groundwater overexploitation: A comprehensive assessment from arid oasis regions","authors":"Binbin Fan , Xuguo Shi , Geping Luo , Olaf Hellwich , Xiaofei Ma , Ming Shang , Yuangang Wang , Friday U. Ochege","doi":"10.1016/j.ijdrr.2025.105328","DOIUrl":"10.1016/j.ijdrr.2025.105328","url":null,"abstract":"<div><div>Water resources in arid regions are limited, with socio-economic development largely dependent on groundwater extraction, particularly in irrigated oases. Excessive groundwater use can lead to aquifer depletion and land subsidence, yet the mechanisms linking subsidence to groundwater changes across different hydrological units remain inadequately understood. This study investigates the spatiotemporal deformation characteristics in the Sangong River Watershed, China, using InSAR data from 2004 to 2021. The results indicate that subsidence primarily occurs in the upper alluvial plain oases, exhibiting cyclic patterns that correspond with agricultural activities. Subsidence has intensified in recent years, with more severe impacts observed between 2014 and 2021 compared to 2004 to 2010. Regression coefficients between groundwater levels and subsidence vary significantly, influenced by the transition from a single-layered phreatic aquifer to a multilayered phreatic-confined aquifer system. Field investigations at Liuyuhu Farm and Binghu Reservoir highlighted severe infrastructure damage caused by seasonal and differential subsidence. Overexploitation of groundwater before 2006 initiated subsidence, which worsened as cropland expanded by 32.6 % and groundwater extraction increased by 353 % from 2006 to 2014. Although government interventions from 2015 to 2021 reduced extraction rates, drought conditions from 2019 to 2021 exacerbated subsidence, resulting in a cumulative deformation volume of 5.1 × 10<sup>7</sup> m<sup>3</sup> by 2021. The findings underscore the inadequacy of current water resources to meet agricultural demands, leading to continued extraction from static groundwater reserves, which intensifies surface subsidence. This situation necessitates urgent and more effective groundwater management strategies to mitigate further ground subsidence.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105328"},"PeriodicalIF":4.2,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pre-disaster flood prevention funds allocation and benefit analysis considering social vulnerability to enhance urban sustainable flood resilience

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-18 DOI: 10.1016/j.ijdrr.2025.105324

Jiahao Zhong , Yanmei Yang , Zegen Wang , Junnan Xiong , Yinxiang Xu , Jingtao Hao , Yongkang Ma , Gaoyun Shen , Zhiwei Yong

{"title":"Pre-disaster flood prevention funds allocation and benefit analysis considering social vulnerability to enhance urban sustainable flood resilience","authors":"Jiahao Zhong , Yanmei Yang , Zegen Wang , Junnan Xiong , Yinxiang Xu , Jingtao Hao , Yongkang Ma , Gaoyun Shen , Zhiwei Yong","doi":"10.1016/j.ijdrr.2025.105324","DOIUrl":"10.1016/j.ijdrr.2025.105324","url":null,"abstract":"<div><div>In the context of global climate change and rapid urbanization, floods are increasingly frequent and intense, and the scientific allocation of pre-disaster flood prevention funds is essential for enhancing cities' preparedness for sustained flood protection. However, existing studies often overlook urban social vulnerability in allocating funds for pre-disaster flood prevention and quantitatively analyze the benefits of the allocated flood prevention funds. To solve this problem, relevant indicators like socioeconomic factors, infrastructure, and environmental conditions were used to assess social vulnerability (SoVi). Based on the assessment results, a Disaster Prevention Funding Allocation Model based on Social Vulnerability Assessment (SO-FAOM) was constructed, which aims to reduce the overall social vulnerability index and the number of extremely vulnerable areas. In this model, Geodetector was used to establish a hierarchical quantification mechanism for benefit coefficients across different levels of priority support, and NSGA-II and TOPSIS were employed to solve for the optimal allocation. Applied it to Wenzhou City to obtain the optimal allocation of funds and quantitatively analyze the benefits generated by the funds. Additionally, with the same total investment, the benefits of the Flash Flood Intensity Scheme (FFIS) and SO-FAOM allocation results were compared. FFIS reduced the total SoVi by 4.2 % and the number of extreme SoVi zones by 35.5 %, while SO-FAOM achieved reductions of 5.8 % and 57.0 %, respectively. Results showed that the scientific allocation of flood prevention funds by incorporating socioeconomic factors pre-disaster could help maximize the effectiveness of the use of funds and improve the city's ability to sustain flood protection.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105324"},"PeriodicalIF":4.2,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Challenges and opportunities in Nepal's early warning communication

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-18 DOI: 10.1016/j.ijdrr.2025.105318

Dinanath Bhandari

{"title":"Challenges and opportunities in Nepal's early warning communication","authors":"Dinanath Bhandari","doi":"10.1016/j.ijdrr.2025.105318","DOIUrl":"10.1016/j.ijdrr.2025.105318","url":null,"abstract":"<div><div>Nepal is exposed to various hazards year-round, particularly those related to hydro-meteorological factors, which can lead to disasters. Recently, advancements in communication technology have enhanced the ability to predict these hazards, allowing for timely preventive measures before disasters occur. An effective communication system is essential for any early warning system. This system should include institutional arrangements, technologies, media, and a mechanism to mobilize human resources to relay messages to various audiences, especially communities at risk.</div><div>This study utilized a mixed-methods approach, incorporating participatory assessment techniques to gather and analyse data from multiple sources, including literature reviews, key informant interviews, group discussions, and field observations.</div><div>The study found that Nepal's current institutional mechanisms for early warning systems related to floods and landslides have significant gaps and ambiguities in the roles and responsibilities of agencies at all three levels of government, as well as among various sectoral agencies. Additionally, the creation and distribution of early warning messages often fail to take into account important factors such as the choice of media, message format, language, and accessibility for particularly vulnerable groups. As a result, these messages frequently do not prompt the necessary actions to save lives and protect assets.</div><div>The paper recommends strengthening communication mechanisms at the national, local government, and community levels. Communication should involve a variety of audio, visual, text, and other messaging forms using appropriate media, including radio, television, phone calls, news portals, social media, and face-to-face interactions. This diverse approach will help ensure that everyone receives messages promptly.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105318"},"PeriodicalIF":4.2,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The adaptive shift: Embracing complexity in disaster and emergency management

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-18 DOI: 10.1016/j.ijdrr.2025.105323

Todd Miller, Loic Le Dé, Katherine Hore

{"title":"The adaptive shift: Embracing complexity in disaster and emergency management","authors":"Todd Miller, Loic Le Dé, Katherine Hore","doi":"10.1016/j.ijdrr.2025.105323","DOIUrl":"10.1016/j.ijdrr.2025.105323","url":null,"abstract":"<div><div>Disaster and Emergency Management (DEM) systems are increasingly challenged by the complexity and interconnectedness of today's DEM environment. While rigid, phased-based approaches to DEM provide valuable structural frameworks, they often fail in addressing the dynamic, non-linear, and unpredictable nature of contemporary disasters. This paper critically examines key challenges in DEM, including non-linearity, complexity, and the coordination of diverse actors and organisations. It advocates for a shift towards adaptive, interconnected systems that better align with the realities of complex disasters. To this end, the paper introduces the Complex Adaptive DEM (CADEM) Framework, a new conceptual framework grounded in Complex Adaptive Systems (CAS) theory. This framework emphasises decentralised decision-making, interorganisational collaboration, and emergent behaviours as mechanisms to enhance the adaptability and resilience of DEM systems. By reframing DEM as a networked and adaptive system, CADEM provides a pathway for navigating the multifaceted challenges of contemporary disasters.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105323"},"PeriodicalIF":4.2,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel multi-scenario mitigation model for rainstorm flood disasters

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-17 DOI: 10.1016/j.ijdrr.2025.105321

Lei Wen , Xiaoyi Miao , Ting Wang , Jinqi Wang , Jianhua Yang , Ronghua Liu , Meihong Ma

{"title":"A novel multi-scenario mitigation model for rainstorm flood disasters","authors":"Lei Wen , Xiaoyi Miao , Ting Wang , Jinqi Wang , Jianhua Yang , Ronghua Liu , Meihong Ma","doi":"10.1016/j.ijdrr.2025.105321","DOIUrl":"10.1016/j.ijdrr.2025.105321","url":null,"abstract":"<div><div>Global warming induces frequent heavy rain disasters, resulting in significant casualties and economic losses. Seeking for an effective flood disaster mitigation method is crucial for mitigating the impact of disasters. Therefore, this study focuses on Nanhai district, starting with an analysis of the key disaster-causing factors for floods. Then, the Gradient Boosting Decision Tree (GBDT) is employed to quantify the contribution rates of disaster-causing factors, and determine the risk levels of the disaster. On this basis, a GBDT-based flood disaster mitigation model (GB-FDMM) is constructed by optimizing key disaster-causing thresholds. It then explores the changes in risk before and after the implementation of mitigation measures, thereby explaining the effectiveness of the FDMM under different heavy rainfall scenarios. The results indicate that: (1) the constructed GB-FDMM with threshold optimization method demonstrates an effective mitigation effect under extreme weather conditions. (2) the very-high-risk areas are mainly concentrated in the eastern region, and the GBDT algorithm can accurately evaluates the risk of flood disasters; (3) the main key disaster-causing factors are flood depth, submerge duration, population density, and GDP density. This study aims to provide valuable theoretical reference for enhancing the overall disaster reduction capacity in similar regions.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105321"},"PeriodicalIF":4.2,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143465057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards optimal anticipatory action: Maximizing the effectiveness of agricultural early warning systems with operations research

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-17 DOI: 10.1016/j.ijdrr.2025.105249

Djavan De Clercq , Lily Xu , Marleen C. de Ruiter , Marc van den Homberg , Marijn van der Velde , Jim W. Hall , Jonas Jaegermyer , Adam Mahdi

{"title":"Towards optimal anticipatory action: Maximizing the effectiveness of agricultural early warning systems with operations research","authors":"Djavan De Clercq , Lily Xu , Marleen C. de Ruiter , Marc van den Homberg , Marijn van der Velde , Jim W. Hall , Jonas Jaegermyer , Adam Mahdi","doi":"10.1016/j.ijdrr.2025.105249","DOIUrl":"10.1016/j.ijdrr.2025.105249","url":null,"abstract":"<div><div>This paper explores how optimization can enhance anticipatory action by improving resource allocation in response to agricultural risks such as droughts and floods. Anticipatory action relies on early warning systems, which monitor, forecast, and communicate risks to trigger preemptive measures like cash transfers and resource distribution. However, translating forecasts into effective actions often relies on predefined thresholds that may not account for varying needs or constraints. Optimization methods, which use mathematical models and data-driven techniques, offer a structured approach to make these responses more targeted and equitable. To illustrate this, we first outline the agricultural risks posed by climate crises and the role of early warning systems and anticipatory action in mitigating them. We then introduce concepts from operations research and demonstrate how these methods can enhance anticipatory action, using examples such as distributing drought-tolerant seeds and tailoring cash transfers. Finally, we propose research directions to explore how optimization can be best applied to improve the outcomes of anticipatory action.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105249"},"PeriodicalIF":4.2,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the social impact of meteorological drought on Peninsular Malaysia based on the integration of precipitation satellites and sentiment analysis

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-15 DOI: 10.1016/j.ijdrr.2025.105314

Husniyah Binti Mahmud , Takahiro Osawa

{"title":"Analysis of the social impact of meteorological drought on Peninsular Malaysia based on the integration of precipitation satellites and sentiment analysis","authors":"Husniyah Binti Mahmud , Takahiro Osawa","doi":"10.1016/j.ijdrr.2025.105314","DOIUrl":"10.1016/j.ijdrr.2025.105314","url":null,"abstract":"<div><div>The integration of satellite data observations with other data sources and analytical tools, such as news media and machine learning algorithms, will enhance the utilization of satellite information capabilities. This study validates 38 rain gauges with the 23 years merging satellite Tropical Rainfall Measuring Mission (TRMM) 3B43V7 (year 2000–2014) data and its successor Global Precipitation Measuring Mission (GPM) 3IMERG (year 2015–2022) Final (Version 6) data to monitor dry conditions in Peninsular Malaysia using the Standardized Precipitation Index (SPI). Seven English online news articles were used to collect 4086 label training headlines related to drought keywords. This study compares the performance of the text sentiment analysis model Naïve Bayes, Convolutional Neural Network (CNN), Bidirectional Encoder Representations from Transformers (BERT), and Long Short-Term Memory (LSTM). The evaluation of TRMM-3B43V7 and GPM-3IMERG showed a significantly high correlation (R<sup>2</sup> = 0.873) and is a reliable source for providing a combined long-term precipitation record and drought study in Peninsular Malaysia. The results of sentiment analysis using the LSTM method showed a high accuracy of 0.804, whereas the training duration was significantly lower than that of the other models. Finally, the trained LSTM model was used to predict the sentiment on a separate headline input dataset and to compare the expected sentiment result with drought-affected areas from the satellite SPI-12 timescale outputs. During drought or non-drought events, water remains a significant problem in most economic growth contributor states, such as Selangor and Penang. Therefore, sustainable water management must be implemented to improve socioeconomic development.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105314"},"PeriodicalIF":4.2,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on fine early warning of maize high wind lodging disaster risk in Jilin Province, China

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-15 DOI: 10.1016/j.ijdrr.2025.105311

Xiao Wei , Jiquan Zhang , Dongni Wang , Chunli Zhao , Ziming Song , Ying Guo , Xingpeng Liu , Zhijun Tong

{"title":"Study on fine early warning of maize high wind lodging disaster risk in Jilin Province, China","authors":"Xiao Wei , Jiquan Zhang , Dongni Wang , Chunli Zhao , Ziming Song , Ying Guo , Xingpeng Liu , Zhijun Tong","doi":"10.1016/j.ijdrr.2025.105311","DOIUrl":"10.1016/j.ijdrr.2025.105311","url":null,"abstract":"<div><div>Climate change has significantly disrupted human production and livelihoods. Frequent high wind-lodging disasters during the later stages of maize growth have reduced yields, threatening food security, agricultural systems, and sustainable development goals. This study introduces an innovative early risk warning system to guide agricultural resource allocation. It develops an early warning model for high wind-lodging disasters in maize that including natural, endogenous, and exogenous indicators. The model determines warning conditions, identifies early warning sources, analyzes warning signs, and predicts risk levels to support decision-making.</div><div>A comprehensive early warning model for maize high-wind-lodging disaster risk by integrating geographic, economic, and social indicators based on meteorological factors. The risk of maize lodging in Jilin Province from 1982 to 2021 was assessed. Spatial distribution analysis revealed an increasing regional risk warning level from maize joining to maturity, and the expansion of the area above the moderate warning level. The study showed that the early warning index was higher in the western region, with severe and extreme warning risks concentrated in Songyuan, Changchun, and Siping. The coupling coordination degree analysis of the early warning subsystems indicated high coordination in geoeconomic subsystems, with Changchun showing the potential for early coordinated subsystem development. We also revealed Changes in risk levels across different fertility stages in high-risk stages were also identified, offering direction for adjustment. This study provides valuable insights and data support for daily pre-disaster risk management, and demonstrates the model's adaptability to other maize-growing regions after adjusting indicators and parameters.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105311"},"PeriodicalIF":4.2,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fire alone can save our Clan: Implications of resilience through disaster-related learning using the Warriors children's literature series 仅凭一把火就能拯救我们的部族：利用《勇士》儿童文学系列开展与灾害有关的学习，从而提高抗灾能力

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-15 DOI: 10.1016/j.ijdrr.2025.105307

Lisa Wier, Tony McAleavy

引用次数: 0

Island communities and sea level rise: Resettlement and maladaptation, the Kuna people of Isberyala, Panama

IF 4.2 1区地球科学

International journal of disaster risk reduction Pub Date : 2025-02-14 DOI: 10.1016/j.ijdrr.2025.105313

Lourdes Galindo Delgado , Francisco García Sánchez

{"title":"Island communities and sea level rise: Resettlement and maladaptation, the Kuna people of Isberyala, Panama","authors":"Lourdes Galindo Delgado , Francisco García Sánchez","doi":"10.1016/j.ijdrr.2025.105313","DOIUrl":"10.1016/j.ijdrr.2025.105313","url":null,"abstract":"<div><div>Climate change presents specific challenges for traditional communities, especially those facing rising sea levels in island territories, where relocation is imperative. The case study of Isberyala, a new Kuna indigenous resettlement in the region of Carti Islands (Guna Yala, Panama), exemplifies a process of proactive relocation. The research aims to identify potential maladaptive actions, so that this experience is considered for decisions to be made in further displacement processes, such as those that are being planned in the region. An analysis of the exposure conditions of the Carti Islands to sea level rise, and the assessment of urban resettlement project designed have been carried out. For an understanding of social perception of the relocation project, public managers, community leaders and academics were surveyed through a qualitative assessment. Findings show relocation to the continent entails a profound alteration of the indigenous cosmovision. Although, in general terms, the project was valued globally as an improvement in living conditions, it nevertheless involves a loss in the natural values of the environment and to the Kuna cultural heritage. Moreover, the resettlement project does not incorporate traditional models of housing and urban space structure of these communities, eroding sustainable development. In the context of other recent experiences in island communities, the Isberyala project highlights the difficulty of planning new resettlements considering traditional methods of construction and organization of relationship spaces to avoid maladaptation processes. This research proposes to add to the relocation debate, the need to incorporate local knowledge to ensure that adaptation strategies work.</div></div>","PeriodicalId":13915,"journal":{"name":"International journal of disaster risk reduction","volume":"119 ","pages":"Article 105313"},"PeriodicalIF":4.2,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0