Raghuveer Negi, S. Sati, A. Rawat, T. Jayal, Vikram Sharma, Parvendra Kumar, G. Chauhan
A watershed is the result of several geomorphic processes such as weathering, erosion, degradation and aggradation which are influenced by several factors viz. tectonics, lithology, climate, landslides and mass wasting processes etc. In a tropical climate, watersheds contribute a significant amount of eroded material which is reflecting the impact of lithology, precipitation, tectonics, relief and anthropogenic activities. In the Himalayan region besides significant heterogeneity in lithology, stratigraphy, structure and tectonics, it is observed that variability is exhibited in climatic conditions over a small region. These factors contribute to the development of geomorphic landforms and are best studied in watersheds or river basins. In the present study, Giri Watershed (GW) is assessed to contemplate susceptibility to erosion for 66 sub-watersheds using geomorphic parameters. The prioritization of subwatersheds has been done using Weighted Sum Analysis (WSA) and Sediment Production Rate (SPR) methods. The quantitative analysis of subwatersheds is categorized into different priority classes viz. very high, high, moderate, low and very low, among which 27 subwatersheds have very high to high susceptibility to erosion.
{"title":"Assessment of soil erosion using WSA and SPR techniques for Giri watershed, Himachal Pradesh, NW Himalaya, India","authors":"Raghuveer Negi, S. Sati, A. Rawat, T. Jayal, Vikram Sharma, Parvendra Kumar, G. Chauhan","doi":"10.25303/1606da18044","DOIUrl":"https://doi.org/10.25303/1606da18044","url":null,"abstract":"A watershed is the result of several geomorphic processes such as weathering, erosion, degradation and aggradation which are influenced by several factors viz. tectonics, lithology, climate, landslides and mass wasting processes etc. In a tropical climate, watersheds contribute a significant amount of eroded material which is reflecting the impact of lithology, precipitation, tectonics, relief and anthropogenic activities. In the Himalayan region besides significant heterogeneity in lithology, stratigraphy, structure and tectonics, it is observed that variability is exhibited in climatic conditions over a small region. These factors contribute to the development of geomorphic landforms and are best studied in watersheds or river basins. In the present study, Giri Watershed (GW) is assessed to contemplate susceptibility to erosion for 66 sub-watersheds using geomorphic parameters. The prioritization of subwatersheds has been done using Weighted Sum Analysis (WSA) and Sediment Production Rate (SPR) methods. The quantitative analysis of subwatersheds is categorized into different priority classes viz. very high, high, moderate, low and very low, among which 27 subwatersheds have very high to high susceptibility to erosion.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42276703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soil salinity is a natural element of arid and semi-arid climates and it is becoming a growing concern in the soils across the world. When water-soluble salts build in a soil, it gets salinized. These salts contain chloride, sulphate, carbonate, bicarbonate and sodium in addition to potassium and magnesium. Due to shortage of oxygen, soil with a high salt level becomes incapable of supporting plant and animal life. This review discusses the causes of salinity, its impact on plant growth, their limits/standard in the environment systems and case studies of saline land. Besides this, salinity levels in streams and lands are generally rising as a result of rising groundwater levels. Most of the rural and urban communities have lost productive cropland and water supplies due to natural instability to these environments and human induced interferences. Crop productivity, seed germination soil and water quality are adversely affected by soil salinity. A coastal region is also particularly vulnerable to climate change. There is a need to study soil salinization and its measures in detail for sustainable environmental systems.
{"title":"The Disastrous Effects of Soil Salinity and pH on Environmental Systems","authors":"G. Shinde, S. J. Sapkale, J. B. Sapkale","doi":"10.25303/1606da53062","DOIUrl":"https://doi.org/10.25303/1606da53062","url":null,"abstract":"Soil salinity is a natural element of arid and semi-arid climates and it is becoming a growing concern in the soils across the world. When water-soluble salts build in a soil, it gets salinized. These salts contain chloride, sulphate, carbonate, bicarbonate and sodium in addition to potassium and magnesium. Due to shortage of oxygen, soil with a high salt level becomes incapable of supporting plant and animal life. This review discusses the causes of salinity, its impact on plant growth, their limits/standard in the environment systems and case studies of saline land. Besides this, salinity levels in streams and lands are generally rising as a result of rising groundwater levels. Most of the rural and urban communities have lost productive cropland and water supplies due to natural instability to these environments and human induced interferences. Crop productivity, seed germination soil and water quality are adversely affected by soil salinity. A coastal region is also particularly vulnerable to climate change. There is a need to study soil salinization and its measures in detail for sustainable environmental systems.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43347085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study focuses on the application of frequency ratio method (FRM) for the creation of landslide hazard map along the National Highway-1(NH-1) road between Baramulla and Uri in North Kashmir Himalaya, India. The landslide hazard zonation (LHZ) map was prepared by integrating all the landslide-inducing factors with frequency ratio values. A database of notable landslides in the study area was integrated with the hazard map for validation. The overall study showed that 22.28% of the study area falls under very high and high hazard zones. Finally, the output map was validated using the 40% landslide validation data. Moreover, ROC curve method was utilized to validate the model which showed the acceptable result of 0.803 AUC value for the landslide hazard map of the study area. Therefore, LHZ map produced by this study can be used to guide planners or engineers in identifying safe zones for carrying out development projects and for future risk assessment studies in the study region.
{"title":"Landslide hazard zonation using Bivariate Frequency Ratio Method along National highway-1 from Baramulla-Uri Road stretch, North Kashmir Himalayas, India","authors":"Iftikhar Hussain Beigh, Kaiser Bukhari","doi":"10.25303/1606da08017","DOIUrl":"https://doi.org/10.25303/1606da08017","url":null,"abstract":"The study focuses on the application of frequency ratio method (FRM) for the creation of landslide hazard map along the National Highway-1(NH-1) road between Baramulla and Uri in North Kashmir Himalaya, India. The landslide hazard zonation (LHZ) map was prepared by integrating all the landslide-inducing factors with frequency ratio values. A database of notable landslides in the study area was integrated with the hazard map for validation. The overall study showed that 22.28% of the study area falls under very high and high hazard zones. Finally, the output map was validated using the 40% landslide validation data. Moreover, ROC curve method was utilized to validate the model which showed the acceptable result of 0.803 AUC value for the landslide hazard map of the study area. Therefore, LHZ map produced by this study can be used to guide planners or engineers in identifying safe zones for carrying out development projects and for future risk assessment studies in the study region.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43444862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Salma Kabili, A. Algouti, Abdellah Algouti, Akram El Ghouat
Soil loss caused by water erosion constitutes a major issue that generate environmental and other several problems. The objective of this work is to quantify and assess the risk of erosion in the region of the Rheraya basin3 and to estimate the rate of soil loss and to characterize the main criteria involved in the evolution of water erosion in the basin. The study revealed that the combined presence of streams, crossing easily eroded surfaces, slopes, as well as anthropogenic action, aggravated the phenomenon. The empirical RUSLE4 and EPM5 models combined with GIS and remote sensing6 were adopted to characterize this rate in the region. The RUSLE model evaluated the rate of soil loss produced by sheet erosion, based on the aggressiveness of the rain, soil erodibility, the vegetation cover, the length and the inclination of the slope as well as the anti-erosion practices in the basin. The "EPM" model estimated the rate of erosion and soil losses caused by water erosion in general. It is based on the mapping and the combination of six parameters which are: average temperature, average annual precipitation, slope, erosion state, land use and soil resistance to erosion. Results showed that the erosion rate using Rusle model varies between 0 and 188 t/ha/year with an average annual soil loss of 46, 85 t/ha/year. The results of the application of the EPM model showed that the average annual of soil loss is 103 t/ha/y with values extending between 0 and 200 t/ha/y. These results exposed that the areas upstream represent a very high risk of erosion, so they can surely aid to manage and reduce soil erosion in the High Atlas mountains.
{"title":"Quantification of water erosion using empirical models RUSLE and EPM in the Rheraya basin in the High Atlas of Marrakech","authors":"Salma Kabili, A. Algouti, Abdellah Algouti, Akram El Ghouat","doi":"10.25303/1605da019028","DOIUrl":"https://doi.org/10.25303/1605da019028","url":null,"abstract":"Soil loss caused by water erosion constitutes a major issue that generate environmental and other several problems. The objective of this work is to quantify and assess the risk of erosion in the region of the Rheraya basin3 and to estimate the rate of soil loss and to characterize the main criteria involved in the evolution of water erosion in the basin. The study revealed that the combined presence of streams, crossing easily eroded surfaces, slopes, as well as anthropogenic action, aggravated the phenomenon. The empirical RUSLE4 and EPM5 models combined with GIS and remote sensing6 were adopted to characterize this rate in the region. The RUSLE model evaluated the rate of soil loss produced by sheet erosion, based on the aggressiveness of the rain, soil erodibility, the vegetation cover, the length and the inclination of the slope as well as the anti-erosion practices in the basin. The \"EPM\" model estimated the rate of erosion and soil losses caused by water erosion in general. It is based on the mapping and the combination of six parameters which are: average temperature, average annual precipitation, slope, erosion state, land use and soil resistance to erosion. Results showed that the erosion rate using Rusle model varies between 0 and 188 t/ha/year with an average annual soil loss of 46, 85 t/ha/year. The results of the application of the EPM model showed that the average annual of soil loss is 103 t/ha/y with values extending between 0 and 200 t/ha/y. These results exposed that the areas upstream represent a very high risk of erosion, so they can surely aid to manage and reduce soil erosion in the High Atlas mountains.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43901459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Blind hydraulic backfilling technique is used for subsidence control in underground coal mines. A laboratory size model of underground working was developed to understand backfilling process. Observations from model were utilized for backfilling process in one of the underground mines. This study describes the results obtained in the field investigation at an old abandoned waterlogged underground coal mine of Eastern Coalfields Limited (ECL), a subsidiary of Coal India Limited and their verification with the findings obtained in the laboratory scale model study carried out on a model of underground coal mine worked by board and pillar method. The relative influence of slurry concentration and flow rates on the areas of filling from a single inlet borehole has been discussed. The relative spread of sand in different directions has also been measured using a remotely operated underground vehicle mounted camera. The empirical relationships developed under field conditions have been found to be similar to those of laboratory model.
采用盲式水力充填技术控制煤矿井下沉陷。建立了一个实验室大小的地下工程模型，以了解回填过程。将模型观测结果应用于某地下矿山的回填过程。本研究描述了在印度煤炭有限公司(coal India Limited)子公司东部煤田有限公司(Eastern coal fields Limited, ECL)的一个旧废弃涝浸地下煤矿进行实地调查的结果，并将其与在采用板柱法开采的地下煤矿模型上进行的实验室比例模型研究结果进行了验证。讨论了泥浆浓度和流速对单孔充填面积的相对影响。还使用远程操作的地下车载摄像机测量了不同方向上沙子的相对扩散。在现场条件下建立的经验关系与实验室模型相似。
{"title":"Comparison of model study with field implementation of gravity blind backfilling method to control subsidence induced disaster in abandoned underground coal mines","authors":"S. Pal, Akhil Avchar, A. Tripathi","doi":"10.25303/1605da010018","DOIUrl":"https://doi.org/10.25303/1605da010018","url":null,"abstract":"Blind hydraulic backfilling technique is used for subsidence control in underground coal mines. A laboratory size model of underground working was developed to understand backfilling process. Observations from model were utilized for backfilling process in one of the underground mines. This study describes the results obtained in the field investigation at an old abandoned waterlogged underground coal mine of Eastern Coalfields Limited (ECL), a subsidiary of Coal India Limited and their verification with the findings obtained in the laboratory scale model study carried out on a model of underground coal mine worked by board and pillar method. The relative influence of slurry concentration and flow rates on the areas of filling from a single inlet borehole has been discussed. The relative spread of sand in different directions has also been measured using a remotely operated underground vehicle mounted camera. The empirical relationships developed under field conditions have been found to be similar to those of laboratory model.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43680577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cities are attracting populations at alarming rate. Cities provide the need of populations in every way from livelihoods to livability. In doing so it is exhausting its resources resulting in increasing threats of risk. An initiative like Smart City Mission is aiming to enhance the capacities of the cities to increase livability and quality of life for its population and decrease threats of risk. This study examines the impact of smart city initiatives on resilience to earthquakes and floods through a spatial planning perspective for the city of Pune in State of Maharashtra through series of structured interviews with key stakeholders. The findings suggest that smart city initiative is still in its primary stage and requires assimilation with the development strategy to contribute to the resilience of the city. The study further proposes the need to integrate the smart city initiative with all the current and future developmental projects.
{"title":"Smart city initiatives and disaster resilience of cities through spatial planning in Pune city, India","authors":"Sujata Kodag, Shibu K. Mani, G. Balamurugan","doi":"10.25303/1605da029037","DOIUrl":"https://doi.org/10.25303/1605da029037","url":null,"abstract":"Cities are attracting populations at alarming rate. Cities provide the need of populations in every way from livelihoods to livability. In doing so it is exhausting its resources resulting in increasing threats of risk. An initiative like Smart City Mission is aiming to enhance the capacities of the cities to increase livability and quality of life for its population and decrease threats of risk. This study examines the impact of smart city initiatives on resilience to earthquakes and floods through a spatial planning perspective for the city of Pune in State of Maharashtra through series of structured interviews with key stakeholders. The findings suggest that smart city initiative is still in its primary stage and requires assimilation with the development strategy to contribute to the resilience of the city. The study further proposes the need to integrate the smart city initiative with all the current and future developmental projects.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44489609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sugam Verma, P. Parthiban, K. Ravikumar, I. Das, Ashutosh Das
Although the Agniyar river basin, a segment of the Cauvery River basin, hosts a sizable agricultural community whose primary source of income is underground water supply, the area has been experiencing escalating water scarcity for decades. The present research work is carried out to address the lack of a research base in this region and to create a comprehensive groundwater baseline information system for studying the impacts of natural and anthropogenic activities, using GMS MODFLOW with Monte-Carlo simulation-based groundwater level dataset. The model, thus developed, can be calibrated with contemporaneous recharge and discharge data regularly so that the output may be used to make policy decisions in sustainable exploration of groundwater resources. The model also provides the locations of subsurface flood cells which can be potential water harvesting sites. Besides, the present modelling framework can be extended to other water-scarce regions as well.
{"title":"Steady-state Assessment of Hydraulic Potential at Water Scarce regions of Agniyar River Basin, India using GMS-MODFLOW","authors":"Sugam Verma, P. Parthiban, K. Ravikumar, I. Das, Ashutosh Das","doi":"10.25303/1605da038043","DOIUrl":"https://doi.org/10.25303/1605da038043","url":null,"abstract":"Although the Agniyar river basin, a segment of the Cauvery River basin, hosts a sizable agricultural community whose primary source of income is underground water supply, the area has been experiencing escalating water scarcity for decades. The present research work is carried out to address the lack of a research base in this region and to create a comprehensive groundwater baseline information system for studying the impacts of natural and anthropogenic activities, using GMS MODFLOW with Monte-Carlo simulation-based groundwater level dataset. The model, thus developed, can be calibrated with contemporaneous recharge and discharge data regularly so that the output may be used to make policy decisions in sustainable exploration of groundwater resources. The model also provides the locations of subsurface flood cells which can be potential water harvesting sites. Besides, the present modelling framework can be extended to other water-scarce regions as well.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46623340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valdivia Juan Carlos Rivas, Vargas Armando Sánchez
Traditionally, disasters have not been considered as factors that influence economic growth and convergence or divergence between countries. Using macroeconomic and disaster data for Mexico and Central America, it was found that disasters generate a negative effect on economic growth and exacerbate divergence. If disasters are omitted in the convergence-cointegration analysis, the results may be biased. With divergence, very small and poor economies compared to slightly richer economies, enter a vicious cycle in which they tend to increasingly diverge or to converge to lower levels of economic growth in the long run.
{"title":"Economic divergence and the role of disasters in Mexico and Central America","authors":"Valdivia Juan Carlos Rivas, Vargas Armando Sánchez","doi":"10.25303/1605da01009","DOIUrl":"https://doi.org/10.25303/1605da01009","url":null,"abstract":"Traditionally, disasters have not been considered as factors that influence economic growth and convergence or divergence between countries. Using macroeconomic and disaster data for Mexico and Central America, it was found that disasters generate a negative effect on economic growth and exacerbate divergence. If disasters are omitted in the convergence-cointegration analysis, the results may be biased. With divergence, very small and poor economies compared to slightly richer economies, enter a vicious cycle in which they tend to increasingly diverge or to converge to lower levels of economic growth in the long run.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42771744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Due to long coastline of India, fishing is considered as the primary source of livelihood for the people in coastal zones. With nearly one million active fishermen, India is the 2nd largest fish producer in the world. Despite having long coastline and vast fishing community, natural calamities like cyclones frequently hit the fishing operations and render damage to the lives and property. The safety and sustainability of the fishermen remain major issues due to the lack of proper communication network from boat to shore. Though mobile network connectivity is available up to 22km from the seacoast, most of the fishermen venture into deep sea to perform the fishing activities. Recently, when the cyclone Ockhi ravaged the Arabian Sea coast, many fishermen from Kerala and Tamilnadu went missing due to delayed cyclone warning and network disconnection from the shore. In such vulnerable conditions, the fishermen community is posing serious question whether they would return safely to the shore another time when they go out to sea. Hence, this study highlights the need to develop emergency communication network for the safety of fishermen along the coastline. This survey presents a brief review of some of the solutions that address the emergency communication requirements for the fishermen far from the sea shore. Further, this study also highlights the need to install floating communication devices offshore to enable seamless connectivity during disaster times.
{"title":"Deep Sea Communication Networks for the Safety and Sustainability of Fishermen in India: A Survey","authors":"R. Srinivasa, C. Rajasekhar","doi":"10.25303/1605da044049","DOIUrl":"https://doi.org/10.25303/1605da044049","url":null,"abstract":"Due to long coastline of India, fishing is considered as the primary source of livelihood for the people in coastal zones. With nearly one million active fishermen, India is the 2nd largest fish producer in the world. Despite having long coastline and vast fishing community, natural calamities like cyclones frequently hit the fishing operations and render damage to the lives and property. The safety and sustainability of the fishermen remain major issues due to the lack of proper communication network from boat to shore. Though mobile network connectivity is available up to 22km from the seacoast, most of the fishermen venture into deep sea to perform the fishing activities. Recently, when the cyclone Ockhi ravaged the Arabian Sea coast, many fishermen from Kerala and Tamilnadu went missing due to delayed cyclone warning and network disconnection from the shore. In such vulnerable conditions, the fishermen community is posing serious question whether they would return safely to the shore another time when they go out to sea. Hence, this study highlights the need to develop emergency communication network for the safety of fishermen along the coastline. This survey presents a brief review of some of the solutions that address the emergency communication requirements for the fishermen far from the sea shore. Further, this study also highlights the need to install floating communication devices offshore to enable seamless connectivity during disaster times.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48184533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Floodplain management and mapping are new and applied methods in river engineering and for the prediction of flood hazards. Krishna river basin is the second largest river basin in Peninsular India. This basin is one of the flood prone basins in India. The purpose of this study is to focus on the analysis of HEC-RAS to assess and predict the flood depth and spatial extent of flood in the upper Krishna River basin which is drained by Krishna River. To determine extent of inundation, the hydrodynamic model HEC-RAS with ArcGIS was used. For this, discharge data of two months from August and September 2012 has been processed in the study. A methodology was applied to combine hydraulic simulation model, HEC-RAS and GIS analysis for delineation of flood extents and depths for upper Krishna basin in India. Results obtained by using HEC-RAS Model were used by integrating with Arc-GIS to floodplain maps. Through this floodplain maps, the areas that are vulnerable to hazards, have been identified. The results of this research will benefit in future of flood forecasts on a regional scale, also they will be beneficial for water resources management and planning.
{"title":"Flood inundation mapping of upper Krishna basin using hydrodynamic model","authors":"Rutuja Balgude, Anant Patel","doi":"10.25303/1604da08015","DOIUrl":"https://doi.org/10.25303/1604da08015","url":null,"abstract":"Floodplain management and mapping are new and applied methods in river engineering and for the prediction of flood hazards. Krishna river basin is the second largest river basin in Peninsular India. This basin is one of the flood prone basins in India. The purpose of this study is to focus on the analysis of HEC-RAS to assess and predict the flood depth and spatial extent of flood in the upper Krishna River basin which is drained by Krishna River. To determine extent of inundation, the hydrodynamic model HEC-RAS with ArcGIS was used. For this, discharge data of two months from August and September 2012 has been processed in the study. A methodology was applied to combine hydraulic simulation model, HEC-RAS and GIS analysis for delineation of flood extents and depths for upper Krishna basin in India. Results obtained by using HEC-RAS Model were used by integrating with Arc-GIS to floodplain maps. Through this floodplain maps, the areas that are vulnerable to hazards, have been identified. The results of this research will benefit in future of flood forecasts on a regional scale, also they will be beneficial for water resources management and planning.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47953698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：