B. Prasad, R. Brahmaji, P. Ramamohanarao, S. Sarathkumar
The Gumbel Distribution approach is used in this study for analyzing the flood frequency in the lower Krishna basin. It is a probability distribution method that was used to predict river annual peak discharges from 2007 through 2021 (14 years). The probability distribution function was used to calculate the return period for 2, 5, 10, 15 and 20 years and estimated discharges were produced. The flood for the next 10 years will be 1239523 Cusecs and the predicted flood discharge for the next 25 years will be 1586634 Cusecs. The expected flood from 2 to 25 years has also indicated a consistent growing tendency in selected Prakasam barrage station. This type of information would be useful in the planning of engineering projects such as reservoirs, bridges, flood mitigation structures etc. Flood hazard maps can also be created using these methodologies.
{"title":"Flood Frequency Analysis of Lower Krishna Basin using Gumbel Method at Prakasam Barrage, Vijayawada, Andhra Pradesh","authors":"B. Prasad, R. Brahmaji, P. Ramamohanarao, S. Sarathkumar","doi":"10.25303/1601da030035","DOIUrl":"https://doi.org/10.25303/1601da030035","url":null,"abstract":"The Gumbel Distribution approach is used in this study for analyzing the flood frequency in the lower Krishna basin. It is a probability distribution method that was used to predict river annual peak discharges from 2007 through 2021 (14 years). The probability distribution function was used to calculate the return period for 2, 5, 10, 15 and 20 years and estimated discharges were produced. The flood for the next 10 years will be 1239523 Cusecs and the predicted flood discharge for the next 25 years will be 1586634 Cusecs. The expected flood from 2 to 25 years has also indicated a consistent growing tendency in selected Prakasam barrage station. This type of information would be useful in the planning of engineering projects such as reservoirs, bridges, flood mitigation structures etc. Flood hazard maps can also be created using these methodologies.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47370836","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}
Mapping of Flood hazards is an essential component of land use planning. It creates awareness among the mass people about the impact of floods within the region. This study mainly focuses on the flood hazards within the Dibru River Basin. The region is the plain region near the bank of the river, or in the low land area where flood inundation is being observed. The primary aim of this study is to categorize the region into a very high flood zone, moderate flood zone and low flood zone. Different parametric are used in order to prepare the flood hazards mapping. GIS plays a vital role in processing all these parameters at one platform. GIS tool is frequently used to prepare flood hazard maps. It provides an effective way of assembling information from different maps. It can support planning and development by identifying high-risk locations and steering development away from them.
{"title":"Used of Geospatial tools to detect the Flood Hazards in Dibru River Basin, Assam (India)","authors":"Gulap Sonowal, G. Thakuriah","doi":"10.25303/1601da042052","DOIUrl":"https://doi.org/10.25303/1601da042052","url":null,"abstract":"Mapping of Flood hazards is an essential component of land use planning. It creates awareness among the mass people about the impact of floods within the region. This study mainly focuses on the flood hazards within the Dibru River Basin. The region is the plain region near the bank of the river, or in the low land area where flood inundation is being observed. The primary aim of this study is to categorize the region into a very high flood zone, moderate flood zone and low flood zone. Different parametric are used in order to prepare the flood hazards mapping. GIS plays a vital role in processing all these parameters at one platform. GIS tool is frequently used to prepare flood hazard maps. It provides an effective way of assembling information from different maps. It can support planning and development by identifying high-risk locations and steering development away from them.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48219649","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 adverse change in weather increases landslide risk every year due to climate change. Consequently, developmental activities were hampered due to the landslide. This study aimed at developing past landslides (1997, 2007, 2017) using national rainfall data and projected landslides for the years 2027, 2037, 2050 and 2100 using the projected rainfall data in three districts of Bhutan namely Zhemgang, Mongar and Bumthang. The study uses elevation, aspect, slope, curvature, TWI, SPI, NDVI, distance from the river, distance from road, lithology and flow accumulation as influencing factors apart from different year rainfall data. The frequency ratio was employed for data analysis. Kappa index and accuracy were used to validate the landslide map for the year 2017. The landslide risk zones are classified into very low, low, moderate, high and very high. It is observed that the total area of the very low zone decreased from 1997 to 2100 while the area of the very high-risk zone increases from 1997 to 2100. Among the districts, the Zhemgang dzongkhag was highly susceptible to landslides. On the other hand, Bumthang district is least impacted by the landslides.
{"title":"Spatiotemporal variation of landslide using the projected rainfall data from climate change scenario","authors":"T. ., D. Wangmo, V. Sharma, K. Choden","doi":"10.25303/1601da036041","DOIUrl":"https://doi.org/10.25303/1601da036041","url":null,"abstract":"The adverse change in weather increases landslide risk every year due to climate change. Consequently, developmental activities were hampered due to the landslide. This study aimed at developing past landslides (1997, 2007, 2017) using national rainfall data and projected landslides for the years 2027, 2037, 2050 and 2100 using the projected rainfall data in three districts of Bhutan namely Zhemgang, Mongar and Bumthang. The study uses elevation, aspect, slope, curvature, TWI, SPI, NDVI, distance from the river, distance from road, lithology and flow accumulation as influencing factors apart from different year rainfall data. The frequency ratio was employed for data analysis. Kappa index and accuracy were used to validate the landslide map for the year 2017. The landslide risk zones are classified into very low, low, moderate, high and very high. It is observed that the total area of the very low zone decreased from 1997 to 2100 while the area of the very high-risk zone increases from 1997 to 2100. Among the districts, the Zhemgang dzongkhag was highly susceptible to landslides. On the other hand, Bumthang district is least impacted by the landslides.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47514870","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}
Bhairav Thakur, A. Desai, H. Shah, Gondaliya Kaushik
A structure's seismic fragility is the conditional collapse damage for a given seismic hazard level. This study established an earthquake level acceptable for the seismic performance and damage evaluations of a nuclear power plant's (NPP) reactor containment structure (RCS) in Surat, India. The RCS model's nonlinear studies were conducted using the finite element method (FEM). A series of nonlinear time-history simulations were also applied to observe the top of the RCS dome. Probabilistic seismic demand models for each intensity measure (IM) of RCS were constructed (IM). This study summarises several guidelines and techniques related to the damage analysis of nuclear facilities. The linear regression method uses incremental dynamic analysis results to produce the fragility curve. The analytical studies concluded that the nuclear reactor has a 50 per cent chance of slightly collapsing at 0.87g of RCS.
{"title":"Innovative Probabilistic Vulnerability Investigation of Nuclear Power Plant Structures under Far-Field Ground Motion","authors":"Bhairav Thakur, A. Desai, H. Shah, Gondaliya Kaushik","doi":"10.25303/1601da14022","DOIUrl":"https://doi.org/10.25303/1601da14022","url":null,"abstract":"A structure's seismic fragility is the conditional collapse damage for a given seismic hazard level. This study established an earthquake level acceptable for the seismic performance and damage evaluations of a nuclear power plant's (NPP) reactor containment structure (RCS) in Surat, India. The RCS model's nonlinear studies were conducted using the finite element method (FEM). A series of nonlinear time-history simulations were also applied to observe the top of the RCS dome. Probabilistic seismic demand models for each intensity measure (IM) of RCS were constructed (IM). This study summarises several guidelines and techniques related to the damage analysis of nuclear facilities. The linear regression method uses incremental dynamic analysis results to produce the fragility curve. The analytical studies concluded that the nuclear reactor has a 50 per cent chance of slightly collapsing at 0.87g of RCS.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44304345","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}
M. Navaneethan, K. Premalatha, K. Sowmya, M. Priyadharshini
An earthquake is one of the critical natural disasters that causes a massive impact on life and property in the areas it occurs. From the past earthquake patterns, the increase in the number of earthquakes in southern peninsular India can be observed. The increasing number of earthquakes is one of the critical reasons for shifting Chennai from zone II (least active) to zone III (moderately active) by the Bureau of Indian Standards. The soil column's natural frequency and time period are the key parameters for seismic design and construction. Furthermore, compared to shear wave velocity, the fundamental period is a key parameter for site amplification in the recent trend because it accounts for both stiffness and depth of soil sediments. In order to determine the fundamental frequency and typical site period, an equivalent linear 1-D ground response analysis was performed in the Chennai region using ProSHAKE 2.0 software. A contour map was created using ArcGISPro software for the study area's fundamental and characteristic site periods. The longer the soil column's site period, the greater the amplification and the greater the seismic threat. Finally, buildings with a natural period of 0.6 - 1 s should be avoided in the southeastern region of the study area because of the resonance.
{"title":"Influence of earthquake characteristics on natural frequency and period of soil column for different subsoils in the Chennai region","authors":"M. Navaneethan, K. Premalatha, K. Sowmya, M. Priyadharshini","doi":"10.25303/1512da042053","DOIUrl":"https://doi.org/10.25303/1512da042053","url":null,"abstract":"An earthquake is one of the critical natural disasters that causes a massive impact on life and property in the areas it occurs. From the past earthquake patterns, the increase in the number of earthquakes in southern peninsular India can be observed. The increasing number of earthquakes is one of the critical reasons for shifting Chennai from zone II (least active) to zone III (moderately active) by the Bureau of Indian Standards. The soil column's natural frequency and time period are the key parameters for seismic design and construction. Furthermore, compared to shear wave velocity, the fundamental period is a key parameter for site amplification in the recent trend because it accounts for both stiffness and depth of soil sediments. In order to determine the fundamental frequency and typical site period, an equivalent linear 1-D ground response analysis was performed in the Chennai region using ProSHAKE 2.0 software. A contour map was created using ArcGISPro software for the study area's fundamental and characteristic site periods. The longer the soil column's site period, the greater the amplification and the greater the seismic threat. Finally, buildings with a natural period of 0.6 - 1 s should be avoided in the southeastern region of the study area because of the resonance.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44805391","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}
Hai Duong is a province in the Red River Delta of northern Vietnam, with a GDP of 3020 USD/year. Its economy depends mainly on natural conditions, especially agriculture. In the context of climate change, drought will be a natural disaster that greatly affects the economy and agriculture is no exception. Using the Pearson correlation coefficient evaluation method and building multi-linear regression equations, a good correlation was found between total evaporation and total monthly rainfall, monthly mean temperature, monthly maximum temperature and monthly minimum temperature. This is the basis for calculating potential future evaporation based on climate change scenarios. Calculating the drought index K with the input data of climate change scenarios for Vietnam, this analysis has calculated the drought evolution for the three driest months of the year (12, first, 2) for the period 2021- 2050 in Hai Duong province. Results show that with both scenarios (RCP 4.5 and RCP 8.5), the drought index K is at drought and very high drought levels. The drought level in RCP 8.5 is higher than in RCP 4.5 while the drought level at Chi Linh meteorological station is 1.4-1.5 times higher than that at Hai Duong meteorological station. It emerges that drought is clearly cyclical with the drought scenario RCP 8.5 which reaches its maximum every 9-10 years.
{"title":"A study on changes in drought in Haiduong provinces of Vietnam in the context of climate change","authors":"N. T. Ha, D. N. Hung, Cù Thị Phương","doi":"10.25303/1512da054061","DOIUrl":"https://doi.org/10.25303/1512da054061","url":null,"abstract":"Hai Duong is a province in the Red River Delta of northern Vietnam, with a GDP of 3020 USD/year. Its economy depends mainly on natural conditions, especially agriculture. In the context of climate change, drought will be a natural disaster that greatly affects the economy and agriculture is no exception. Using the Pearson correlation coefficient evaluation method and building multi-linear regression equations, a good correlation was found between total evaporation and total monthly rainfall, monthly mean temperature, monthly maximum temperature and monthly minimum temperature. This is the basis for calculating potential future evaporation based on climate change scenarios. Calculating the drought index K with the input data of climate change scenarios for Vietnam, this analysis has calculated the drought evolution for the three driest months of the year (12, first, 2) for the period 2021- 2050 in Hai Duong province. Results show that with both scenarios (RCP 4.5 and RCP 8.5), the drought index K is at drought and very high drought levels. The drought level in RCP 8.5 is higher than in RCP 4.5 while the drought level at Chi Linh meteorological station is 1.4-1.5 times higher than that at Hai Duong meteorological station. It emerges that drought is clearly cyclical with the drought scenario RCP 8.5 which reaches its maximum every 9-10 years.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41614575","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}
Fire hazard is now a global problem, particularly in densely populated areas in developing countries like Bangladesh. Fire hazards frequently happen in urban and rural areas of Bangladesh. Fires at several shopping malls prove that the safety measures in the shopping center are not at standard level. This study aimed to assess the fire hazard vulnerability of shopping centers in Rangpur City Corporation, Bangladesh. The study area was surveyed and analyzed with Geographic Information Systems (GIS) and Remote Sensing along with primary field data regarding existing planning rules and regulations of the Government of Bangladesh. All the structures of the study area were assessed and categorized into four class ranges from very high to low, according to some vulnerability criteria defined by safety codes. The study found that about 30% of the structures fall under very high, 50% fall under high vulnerability and 20% fall under moderate vulnerability class. The most significant issue was the low vulnerable structures of the shopping centers to face fire hazards. Most of the structures fall under the danger classes that can be improved by the direct intervention of the state agency.
{"title":"Fire hazard vulnerability assessment of shopping centers: Empirical insight from Rangpur City Corporation, Bangladesh","authors":"Md. Obaydul Azha, Md. Naimur Rahman, Sajjad Hossain Shozib, Syed Anowerul Azim, Md Nazirul Islam Sarker","doi":"10.25303/1512da031041","DOIUrl":"https://doi.org/10.25303/1512da031041","url":null,"abstract":"Fire hazard is now a global problem, particularly in densely populated areas in developing countries like Bangladesh. Fire hazards frequently happen in urban and rural areas of Bangladesh. Fires at several shopping malls prove that the safety measures in the shopping center are not at standard level. This study aimed to assess the fire hazard vulnerability of shopping centers in Rangpur City Corporation, Bangladesh. The study area was surveyed and analyzed with Geographic Information Systems (GIS) and Remote Sensing along with primary field data regarding existing planning rules and regulations of the Government of Bangladesh. All the structures of the study area were assessed and categorized into four class ranges from very high to low, according to some vulnerability criteria defined by safety codes. The study found that about 30% of the structures fall under very high, 50% fall under high vulnerability and 20% fall under moderate vulnerability class. The most significant issue was the low vulnerable structures of the shopping centers to face fire hazards. Most of the structures fall under the danger classes that can be improved by the direct intervention of the state agency.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45761996","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}
B. Prasad, R. Brahmaji, P. Ramamohanarao, S. Sarathkumar
The research focuses on a key meteorological variable, precipitation, in order to analyze the changing trend of rainfall in Andhra Pradesh, India. The State highly depends on rainfall for its agricultural activities, but the occurrence of rainfall is unprecedent and variable, causing adverse implications on the cropping system as well as negative effects on natural water resources. Daily data from the years 2001 to 2021 were analyzed to determine monthly, seasonal and yearly rainfall variability using statistical methods such as mean, standard deviation (SD) and coefficient variability (CV). District wise monthly, seasonal and annual rainfall trends have been drawn using 21-year daily data. The statistical analysis of whole reference time series data reveals that maximum mean South West Monsoon (SWM) rainfall is received in the north and central coastal districts of Srikakulam, Visakhapatnam, Vizianagaram, East Godavari, West Godavari and Krishna. North East Monsoon (NEM) rainfall contributes significantly in mean annual rainfall of southern coastal district and Rayalaseema sub division of the State.
{"title":"Rainfall Precipitation Pattern from 2001-2021 over Andhra Pradesh Region in India","authors":"B. Prasad, R. Brahmaji, P. Ramamohanarao, S. Sarathkumar","doi":"10.25303/1512da01012","DOIUrl":"https://doi.org/10.25303/1512da01012","url":null,"abstract":"The research focuses on a key meteorological variable, precipitation, in order to analyze the changing trend of rainfall in Andhra Pradesh, India. The State highly depends on rainfall for its agricultural activities, but the occurrence of rainfall is unprecedent and variable, causing adverse implications on the cropping system as well as negative effects on natural water resources. Daily data from the years 2001 to 2021 were analyzed to determine monthly, seasonal and yearly rainfall variability using statistical methods such as mean, standard deviation (SD) and coefficient variability (CV). District wise monthly, seasonal and annual rainfall trends have been drawn using 21-year daily data. The statistical analysis of whole reference time series data reveals that maximum mean South West Monsoon (SWM) rainfall is received in the north and central coastal districts of Srikakulam, Visakhapatnam, Vizianagaram, East Godavari, West Godavari and Krishna. North East Monsoon (NEM) rainfall contributes significantly in mean annual rainfall of southern coastal district and Rayalaseema sub division of the State.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43385812","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}
Roads in a hilly region contribute to significant development of the area and may cause negative impacts on the fragile environment. Optimal road alignment in the hilly region is challenging and mandates geospatial analysis that involves topographic and environmental parameters like slope, soil stability, forest cutting and obstruction to drainage. In this study, a multi-objective approach is proposed to delineate optimal road alignment in the hilly region of Sathuragiri hills, India using Geographic Information System (GIS) based integration techniques. Analytical Hierarchy Process (AHP) was used to generate suitability surfaces based on Engineering, Environmental, Landslide and Hybrid approaches. Thematic information like geology, land use, drainage network, slope, aspect, soil texture, distance from the road etc. have been generated from Remote Sensing and Collateral datasets. The suitability surfaces were generated through standardization and integration of criteria using a weighted overlay approach in the GIS environment. Alternate alignments were generated with these suitability surfaces using Dijkstra Algorithm for finding the shortest cost path. These alignments were evaluated for critical parameters like length of road, no. of bridges/culverts, area of forest cutting, area of agriculture land affected, length of road in critical slopes. The results indicate the efficiency of the hybrid approach combining the engineering, environmental and landslide risk-based parameters in the alignment planning.
{"title":"Evaluation of Optimal Ghat Road Alignment integrating Engineering, Environmental and Landslide Parameters using Geospatial Analysis","authors":"Srinivasa Raju Kolanuvada, Praveenkumar Kannan","doi":"10.25303/1512da13021","DOIUrl":"https://doi.org/10.25303/1512da13021","url":null,"abstract":"Roads in a hilly region contribute to significant development of the area and may cause negative impacts on the fragile environment. Optimal road alignment in the hilly region is challenging and mandates geospatial analysis that involves topographic and environmental parameters like slope, soil stability, forest cutting and obstruction to drainage. In this study, a multi-objective approach is proposed to delineate optimal road alignment in the hilly region of Sathuragiri hills, India using Geographic Information System (GIS) based integration techniques. Analytical Hierarchy Process (AHP) was used to generate suitability surfaces based on Engineering, Environmental, Landslide and Hybrid approaches. Thematic information like geology, land use, drainage network, slope, aspect, soil texture, distance from the road etc. have been generated from Remote Sensing and Collateral datasets. The suitability surfaces were generated through standardization and integration of criteria using a weighted overlay approach in the GIS environment. Alternate alignments were generated with these suitability surfaces using Dijkstra Algorithm for finding the shortest cost path. These alignments were evaluated for critical parameters like length of road, no. of bridges/culverts, area of forest cutting, area of agriculture land affected, length of road in critical slopes. The results indicate the efficiency of the hybrid approach combining the engineering, environmental and landslide risk-based parameters in the alignment planning.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42120322","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 present study was conducted in Balod district to assess meteorological drought events for prevention and future water resource management planning. The study area has a deficit in rainfall with a higher rainfall variation. From 1990 to 2020, the rainfall anomaly index (RAI) was used to calculate meteorological drought and monitor dry and wet periods in the area. Rainfall datasets from IMD daily gridded data of 0.25º × 0.25º spatial resolution were combined with the Geographic information system (GIS) environment. The results from the index revealed that the highest negative values were observed in the years 2000, 2002, 2008 and 2009 which have faced severe drought events. The findings from the study can assist in making a drought preparedness plan to mitigate the risk with effective water resources management.
{"title":"Assessment of meteorological drought in Balod district, India through GIScience and Remote sensing","authors":"Vibhanshu Kumar, Birendra Bharti","doi":"10.25303/1512da062066","DOIUrl":"https://doi.org/10.25303/1512da062066","url":null,"abstract":"The present study was conducted in Balod district to assess meteorological drought events for prevention and future water resource management planning. The study area has a deficit in rainfall with a higher rainfall variation. From 1990 to 2020, the rainfall anomaly index (RAI) was used to calculate meteorological drought and monitor dry and wet periods in the area. Rainfall datasets from IMD daily gridded data of 0.25º × 0.25º spatial resolution were combined with the Geographic information system (GIS) environment. The results from the index revealed that the highest negative values were observed in the years 2000, 2002, 2008 and 2009 which have faced severe drought events. The findings from the study can assist in making a drought preparedness plan to mitigate the risk with effective water resources management.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45601836","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}
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