Geoscience Letters最新文献_第10页

Unprecedented warming in Northwestern India during April of 2022: roles of local forcing and atmospheric Rossby wave 2022年4月印度西北部前所未有的变暖:当地强迫和大气罗斯比波的作用

IF 4 3区地球科学

Geoscience Letters Pub Date : 2023-01-05 DOI: 10.1186/s40562-022-00257-4

Jianhuang Qin, Heng Liu, Baosheng Li

引用次数: 0

Predicting soil erosion potential under CMIP6 climate change scenarios in the Chini Lake Basin, Malaysia. 预测马来西亚奇尼湖盆地在 CMIP6 气候变化情景下的土壤侵蚀潜力。

IF 4 3区地球科学

Geoscience Letters Pub Date : 2023-01-01 Epub Date: 2023-01-04 DOI: 10.1186/s40562-022-00254-7

Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim, Zulfahmi Ali Rahman, Tukimat Lihan

{"title":"Predicting soil erosion potential under CMIP6 climate change scenarios in the Chini Lake Basin, Malaysia.","authors":"Muhammad Rendana, Wan Mohd Razi Idris, Sahibin Abdul Rahim, Zulfahmi Ali Rahman, Tukimat Lihan","doi":"10.1186/s40562-022-00254-7","DOIUrl":"10.1186/s40562-022-00254-7","url":null,"abstract":"Climate change and soil erosion are very associated with environmental defiance which affects the life sustainability of humans. However, the potency effects of both events in tropical regions are arduous to be estimated due to atmospheric conditions and unsustainable land use management. Therefore, several models can be used to predict the impacts of distinct climate scenarios on human and environmental relationships. In this study, we aimed to predict current and future soil erosion potential in the Chini Lake Basin, Malaysia under different Climate Model Intercomparison Project-6 (CMIP6) scenarios (e.g., SSP2.6, SSP4.5, and SSP8.5). Our results found the predicted mean soil erosion values for the baseline scenario (2019-2021) was around 50.42 t/ha year. The mining areas recorded the highest soil erosion values located in the southeastern part. The high future soil erosion values (36.15 t/ha year) were obtained for SSP4.5 during 2060-2080. Whilst, the lowest values (33.30 t/ha year) were obtained for SSP2.6 during 2040-2060. According to CMIP6, the future soil erosion potential in the study area would reduce by approximately 33.9% compared to the baseline year (2019-2021). The rainfall erosivity factor majorly affected soil erosion potential in the study area. The output of the study will contribute to achieving the United Nations' 2030 Agenda for Sustainable Development.","PeriodicalId":48596,"journal":{"name":"Geoscience Letters","volume":"10 1","pages":"1"},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10508992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Households' vulnerability assessment: empirical evidence from cyclone-prone area of Bangladesh. 家庭脆弱性评估：来自孟加拉国气旋易发地区的经验证据。

IF 4 3区地球科学

Geoscience Letters Pub Date : 2023-01-01 Epub Date: 2023-06-06 DOI: 10.1186/s40562-023-00280-z

Md Mostafizur Rahman, Md Saidul Islam Arif, Md Tanvir Hossain, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Hazem Ghassan Abdo

{"title":"Households' vulnerability assessment: empirical evidence from cyclone-prone area of Bangladesh.","authors":"Md Mostafizur Rahman, Md Saidul Islam Arif, Md Tanvir Hossain, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Hazem Ghassan Abdo","doi":"10.1186/s40562-023-00280-z","DOIUrl":"10.1186/s40562-023-00280-z","url":null,"abstract":"Despite Bangladesh being vulnerable to cyclones, there is a dearth of research on cyclone vulnerability assessment. Assessing a household's vulnerability is considered a crucial step in avoiding the adverse effects of catastrophe risks. This research was conducted in the cyclone-prone district of Barguna, Bangladesh. This study's purpose is to evaluate this region's vulnerability. A questionnaire survey was conducted using a convenience sample technique. A door-to-door survey of 388 households in two Unions of Patharghata Upazila, Barguna district, was conducted. Forty-three indicators were selected to assess cyclone vulnerability. The results were quantified using an index-based methodology with a standardized scoring method. Where applicable, descriptive statistics have been obtained. In terms of vulnerability indicators, we also utilized the chi-square test to compare Kalmegha and Patharghata Union. When appropriate, the non-parametric Mann-Whitney U test was employed to evaluate the relationship between the Vulnerability Index Score (VIS) and the union. According to the results, the environmental vulnerability (0.53 ± 0.17) and the composite vulnerability index (0.50 ± 0.08) were significantly greater in Kalmegha Union than in Patharghata Union. They faced inequity in government assistance (71%) and humanitarian aid (45%) from national and international organizations. However, 83% of them underwent evacuation practices. 39% were satisfied with the WASH conditions at the cyclone shelter, whereas around half were dissatisfied with the status of the medical facilities. Most of them (96%) rely only on surface water for drinking. National and international organizations should have a comprehensive plan for disaster risk reduction that encompasses all individuals, regardless of race, geography, or ethnicity.","PeriodicalId":48596,"journal":{"name":"Geoscience Letters","volume":"10 1","pages":"26"},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9619109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 1

China's decarbonization requires achievable deep underground research facilities. 中国的脱碳需要可实现的深层地下研究设施。

IF 4 3区地球科学

Geoscience Letters Pub Date : 2023-01-01 DOI: 10.1186/s40562-023-00265-y

Zhaoxiang Chu, Yiming Wang

引用次数: 0

Physics-informed deep learning framework to model intense precipitation events at super resolution. 基于物理的深度学习框架以超分辨率模拟强降水事件。

IF 4 3区地球科学

Geoscience Letters Pub Date : 2023-01-01 DOI: 10.1186/s40562-023-00272-z

B Teufel, F Carmo, L Sushama, L Sun, M N Khaliq, S Bélair, A Shamseldin, D Nagesh Kumar, J Vaze

{"title":"Physics-informed deep learning framework to model intense precipitation events at super resolution.","authors":"B Teufel, F Carmo, L Sushama, L Sun, M N Khaliq, S Bélair, A Shamseldin, D Nagesh Kumar, J Vaze","doi":"10.1186/s40562-023-00272-z","DOIUrl":"https://doi.org/10.1186/s40562-023-00272-z","url":null,"abstract":"Physical modeling of precipitation at fine (sub-kilometer) spatial scales is computationally very expensive. This study develops a highly efficient framework for this task by coupling deep learning (DL) and physical modeling. This framework is developed and tested using regional climate simulations performed over a domain covering Montreal and adjoining regions, for the summers of 2015-2020, at 2.5 km and 250 m resolutions. The DL framework uses a recurrent approach and considers atmospheric physical processes, such as advection, to generate high-resolution information from low-resolution data, which enables it to recreate fine details and produce temporally consistent fields. The DL framework generates realistic high-resolution precipitation estimates, including intense short-duration precipitation events, which allows it to be applied in engineering problems, such as evaluating the climate resiliency of urban storm drainage systems. The results portray the value of the proposed DL framework, which can be extended to other resolutions, periods, and regions.","PeriodicalId":48596,"journal":{"name":"Geoscience Letters","volume":"10 1","pages":"19"},"PeriodicalIF":4.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9758085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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: 2

Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria 叙利亚塔尔图斯省Al-Balouta河流域滑坡易发性测绘的频率比、统计指数和熵指数模型的空间实现

IF 4 3区地球科学

Geoscience Letters Pub Date : 2022-12-01 DOI: 10.1186/s40562-022-00256-5

H. Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Sk Ajim Ali, F. Parvin, A. Elbeltagi, R. Costache, S. Mohammed, Motrih Al-Mutiry, K. Alsafadi

引用次数: 3

Akatsuki LIR observing system simulation experiments evaluated by thermal tides in the Venus atmosphere 通过金星大气中的热潮汐评估赤木LIR观测系统模拟实验

IF 4 3区地球科学

Geoscience Letters Pub Date : 2022-11-16 DOI: 10.1186/s40562-022-00253-8

N. Sugimoto, Yuki Fujisawa, Nobumasa Komori, H. Ando, T. Kouyama, M. Takagi

引用次数: 1

Interplay of greening and ENSO on biosphere–atmosphere processes in Australia 绿化和ENSO对澳大利亚生物圈-大气过程的影响