Malshej Ghat is one of the busiest transport corridors in Maharashtra. It is highly prone to landslides, as the region receives heavy precipitation and steep slopes along the road section. This manuscript focuses on the applicability and reliability of block size and shape classification techniques in the assessment of the stability of the road-cut rock slopes. Structurally weak zones extending along and across the road section are identified as a lineament, and accordingly, slopes are chosen for in-depth analysis. Kinematic analysis signifies that wedge failure is observed to be the most common type of failure, while planar and toppling failures are observed at places. The rock blocks which are produced as a result of the intersection of different joint sets are mainly cubic, cubic-elongated and elongated in shape, whereas platy, platy-cubic and elongated-platy blocks are very less in proportion. Volume and surface area of rock blocks play a vital role in the movement of the blocks. The rock mass is observed to be nearly poor to fair in quality; however, the numerical simulation shows that the slopes MRS-1, MRS-5, and MRS-7 are critically stable.
{"title":"Understanding the rock slope stability along Malshej Ghat, India, using rock mass characterisation and block shape classification techniques","authors":"Saurabh Prakash Aher, Durga Prasanna Mohanty, Pranay Vilas Bhapkar, Sarada Prasad Pradhan, Vikram Vishal","doi":"10.1007/s12040-024-02284-5","DOIUrl":"https://doi.org/10.1007/s12040-024-02284-5","url":null,"abstract":"<p>Malshej Ghat is one of the busiest transport corridors in Maharashtra. It is highly prone to landslides, as the region receives heavy precipitation and steep slopes along the road section. This manuscript focuses on the applicability and reliability of block size and shape classification techniques in the assessment of the stability of the road-cut rock slopes. Structurally weak zones extending along and across the road section are identified as a lineament, and accordingly, slopes are chosen for in-depth analysis. Kinematic analysis signifies that wedge failure is observed to be the most common type of failure, while planar and toppling failures are observed at places. The rock blocks which are produced as a result of the intersection of different joint sets are mainly cubic, cubic-elongated and elongated in shape, whereas platy, platy-cubic and elongated-platy blocks are very less in proportion. Volume and surface area of rock blocks play a vital role in the movement of the blocks. The rock mass is observed to be nearly poor to fair in quality; however, the numerical simulation shows that the slopes MRS-1, MRS-5, and MRS-7 are critically stable.</p>","PeriodicalId":15609,"journal":{"name":"Journal of Earth System Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-10DOI: 10.1007/s12040-024-02276-5
Monu Yadav, Laxminarayan Das
A group of algorithms for estimating the current intensity (CI) of typhoons, which use infrared and microwave sensor-based images as the input of the algorithm because it is more skilled than each algorithm separately, are used to create a technique to estimate the typhoon intensity which is known as SATCON. In the current study, an effort was undertaken to assess how well the SATCON approach performed for estimating typhoon intensity throughout the West Pacific basin from year 2017 to 2021. To do this, 26 typhoons over the West Pacific basin were analysed using the SATCON-based technique, and the estimates were compared to the best track parameters provided by the Regional Specialized Meteorological Centre (RSMC), Tokyo. The maximum sustained surface winds (Vmax) and estimated central pressures (ECP) for various ‘T’ numbers and types of storm throughout the entire year, as well as during the pre-monsoon (March–July) and post-monsoon (July–February) seasons, have been compared. When compared to weaker and very strong typhoons, the ability of the SATCON algorithm to estimate intensity is determined to be rather excellent for mid-range typhoons. We demonstrate that SATCON is more effective in the post-monsoon across the West Pacific basin than in the pre-monsoon by comparing the algorithm results.
{"title":"Analyze the SATCON algorithm’s capability to estimate tropical storm intensity across the West Pacific basin","authors":"Monu Yadav, Laxminarayan Das","doi":"10.1007/s12040-024-02276-5","DOIUrl":"https://doi.org/10.1007/s12040-024-02276-5","url":null,"abstract":"<p>A group of algorithms for estimating the current intensity (CI) of typhoons, which use infrared and microwave sensor-based images as the input of the algorithm because it is more skilled than each algorithm separately, are used to create a technique to estimate the typhoon intensity which is known as SATCON. In the current study, an effort was undertaken to assess how well the SATCON approach performed for estimating typhoon intensity throughout the West Pacific basin from year 2017 to 2021. To do this, 26 typhoons over the West Pacific basin were analysed using the SATCON-based technique, and the estimates were compared to the best track parameters provided by the Regional Specialized Meteorological Centre (RSMC), Tokyo. The maximum sustained surface winds (<i>V</i><sub><i>max</i></sub>) and estimated central pressures (ECP) for various ‘T’ numbers and types of storm throughout the entire year, as well as during the pre-monsoon (March–July) and post-monsoon (July–February) seasons, have been compared. When compared to weaker and very strong typhoons, the ability of the SATCON algorithm to estimate intensity is determined to be rather excellent for mid-range typhoons. We demonstrate that SATCON is more effective in the post-monsoon across the West Pacific basin than in the pre-monsoon by comparing the algorithm results.</p>","PeriodicalId":15609,"journal":{"name":"Journal of Earth System Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140571013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-10DOI: 10.1007/s12040-024-02288-1
Mausmi Gohil, Darshan Mehta, Mohamedmaroof Shaikh
A hazard is a natural occurrence that might harm humans, animals or the environment. It may cause loss of life, illness or other health consequences, property damage, social and economic crisis or environmental degradation. Various regions around the world are vulnerable to one or more types of disasters. Flooding is one of the worst environmental catastrophes that impacts both civilisation and the environment globally. Various datasets and methods, such as meteorological data, satellite images and GIS, were used to create the hazard assessment map. For a particular region, flood hazards can be developed by integrating an assessment map for several parameter categories. The aim of the study was to evaluate the hazard of flooding and map the areas that will be flooded in Gujarat. This study develops and tests flood-hazard maps to visualise the spatial variation of hazards in Gujarat, India. The parameters for flood-hazard assessment are mainly considered as elevation, slope, aspect, curvature, lithology, soil, land use/cover, drainage density and distance from the river, and rainfall to create a map in the context of a GIS. The acquired data was evaluated using ArcGIS and fuzzy-logic techniques to build a flood hazard map. Five categories have been assigned to the computed flood hazard map: very low, low, moderate, high, and very high. Engineers, planners and local governments may find this study useful in the future when it comes to land use planning and the control of hazards. Flood hazard potential mapping is necessary to manage and mitigate flooding.
{"title":"An integration of geospatial and fuzzy-logic techniques for flood-hazard mapping","authors":"Mausmi Gohil, Darshan Mehta, Mohamedmaroof Shaikh","doi":"10.1007/s12040-024-02288-1","DOIUrl":"https://doi.org/10.1007/s12040-024-02288-1","url":null,"abstract":"<p>A hazard is a natural occurrence that might harm humans, animals or the environment. It may cause loss of life, illness or other health consequences, property damage, social and economic crisis or environmental degradation. Various regions around the world are vulnerable to one or more types of disasters. Flooding is one of the worst environmental catastrophes that impacts both civilisation and the environment globally. Various datasets and methods, such as meteorological data, satellite images and GIS, were used to create the hazard assessment map. For a particular region, flood hazards can be developed by integrating an assessment map for several parameter categories. The aim of the study was to evaluate the hazard of flooding and map the areas that will be flooded in Gujarat. This study develops and tests flood-hazard maps to visualise the spatial variation of hazards in Gujarat, India. The parameters for flood-hazard assessment are mainly considered as elevation, slope, aspect, curvature, lithology, soil, land use/cover, drainage density and distance from the river, and rainfall to create a map in the context of a GIS. The acquired data was evaluated using ArcGIS and fuzzy-logic techniques to build a flood hazard map. Five categories have been assigned to the computed flood hazard map: very low, low, moderate, high, and very high. Engineers, planners and local governments may find this study useful in the future when it comes to land use planning and the control of hazards. Flood hazard potential mapping is necessary to manage and mitigate flooding.</p>","PeriodicalId":15609,"journal":{"name":"Journal of Earth System Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140571085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to assess the accuracy of three satellite-derived products (IMERG-F, CHIRPS and PERSIANN CDR) in quantifying the erosivity of rainfall. A network of 14 gauge stations is utilized to estimate the R-factor in west-central Morocco between 2001 and 2020. This evaluation is conducted at the basin, and the pixel scale is based on five statistical metrics. The present research showed that rainfall intensity and the topographic characteristic of terrain could highly affect the performance of SPPs in estimating the R-factor; the results show that the estimations become less accurate either in high altitudes or in high rainfall intensities. Furthermore, the findings indicate that CHIRPS outperforms the other datasets, particularly at the basin scale where the relative bias is close to 0, with a minimum error and a Nash coefficient of about 0.62, followed by the IMERG-F product, while PERSIANN CDR has the lowest performance. Overall, this study’s outcome yields valuable insights into the applicability of CHIRPS product in estimating rainfall erosivity factor in scarcely gauged areas characterized by a complex climate and topography.