Chikkansamshi Basavraj, A. Swanand, J. Devaraju, S. Manjunatha
In the present study, eight sub-watersheds are prioritized in Hiranyakeshi lower sub-basin based on the morphometric analysis using Remote Sensing and Geographical Information System. An evaluation of morphometric parameters is conducted to determine the potential of sub-watersheds. Sub-watersheds were prioritised as they are the most vulnerable and require more attention for water conservation and exploration measures. According to the results, three sub-watersheds are falling under high category, four are moderate and one sub-watershed falls under low category. The findings of this study may be useful to numerous stakeholders involved in watershed development and management projects.
{"title":"Prioritization of Sub-watersheds through morphometric analysis in the Lower Hiranyakeshi Sub-basin, Karnataka","authors":"Chikkansamshi Basavraj, A. Swanand, J. Devaraju, S. Manjunatha","doi":"10.25303/1604da016026","DOIUrl":"https://doi.org/10.25303/1604da016026","url":null,"abstract":"In the present study, eight sub-watersheds are prioritized in Hiranyakeshi lower sub-basin based on the morphometric analysis using Remote Sensing and Geographical Information System. An evaluation of morphometric parameters is conducted to determine the potential of sub-watersheds. Sub-watersheds were prioritised as they are the most vulnerable and require more attention for water conservation and exploration measures. According to the results, three sub-watersheds are falling under high category, four are moderate and one sub-watershed falls under low category. The findings of this study may be useful to numerous stakeholders involved in watershed development and management projects.","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":"45371956","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}
Wetland areas have the potential for flooding during the rainy season. Even though the community is used to a flooded environment, disaster risk reduction must be carried out immediately when the inundation exceeds the standard limit and causes losses including establishing a disaster-resilient village. This study aims to analyze the role of disaster-resilient villages in strengthening communities in the face of flood disasters in wetland areas. This study used a questionnaire with 100 respondents from two flood-prone villages, Sungai Lumbah Village and Bangkit Baru Village. In addition, in-depth interviews were conducted with community leaders in the two villages, the Sungai Lumbah Village Head, Bangkit Baru Village Head, volunteer groups and the Head of the Barito Kuala District Disaster Management Agency. The results showed that the two villages were still included in the Primary Disaster Resilient Village category. The two villages were still not ready when the disaster struck. The institutional aspect is still not prepared, the funding aspect is still low and the planning aspect is inferior. The communities of the two villages were still not ready when the disaster occurred. Various efforts were made to increase socialization from both the Government and academia to increase the number of volunteers and to increase training to create a disaster-resilient society.
湿地地区在雨季有可能发生洪水。尽管社区已经习惯了洪水环境，但当洪水超过标准限度并造成损失时，必须立即进行减灾，包括建立抗灾村。本研究旨在分析在湿地地区面对洪水灾害时，抗灾村庄在加强社区建设中的作用。这项研究使用了一份问卷，调查了来自两个易发洪水的村庄Sungai Lumbah村和Bangkit Baru村的100名受访者。此外，还与两个村庄的社区领导人，Sungai Lumbah村长，Bangkit Baru村长，志愿者团体和Barito Kuala District Disaster Management Agency的负责人进行了深入访谈。结果表明，这两个村庄仍被列入初级抗灾村类别。灾难来袭时，这两个村庄还没有做好准备。制度方面还没有准备好，资金方面还很低，规划方面还很差。灾难发生时，这两个村庄的社区还没有做好准备。政府和学术界为加强社会化作出了各种努力，以增加志愿人员的人数和增加培训，以建立一个抗灾社会。
{"title":"Disaster-resilient villages: strengthening community capacity in flood disasters managing in wetland areas","authors":"D. Arisanty, K. Hastuti, H. P. N. Putro","doi":"10.25303/1604da01007","DOIUrl":"https://doi.org/10.25303/1604da01007","url":null,"abstract":"Wetland areas have the potential for flooding during the rainy season. Even though the community is used to a flooded environment, disaster risk reduction must be carried out immediately when the inundation exceeds the standard limit and causes losses including establishing a disaster-resilient village. This study aims to analyze the role of disaster-resilient villages in strengthening communities in the face of flood disasters in wetland areas. This study used a questionnaire with 100 respondents from two flood-prone villages, Sungai Lumbah Village and Bangkit Baru Village. In addition, in-depth interviews were conducted with community leaders in the two villages, the Sungai Lumbah Village Head, Bangkit Baru Village Head, volunteer groups and the Head of the Barito Kuala District Disaster Management Agency. The results showed that the two villages were still included in the Primary Disaster Resilient Village category. The two villages were still not ready when the disaster struck. The institutional aspect is still not prepared, the funding aspect is still low and the planning aspect is inferior. The communities of the two villages were still not ready when the disaster occurred. Various efforts were made to increase socialization from both the Government and academia to increase the number of volunteers and to increase training to create a disaster-resilient society.","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":"43770224","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}
P. Saravanan, A.R. Prethivirajan, A.S. Sivaprasanna, K. Udhayakumar, C. Sivapragasam
Understanding the change of future precipitation over long run is highly necessary in climate change impact studies. Mostly, simulated future precipitation series are found to be biased more with the historically observed precipitation series which need to be corrected before use for any impact studies. Many conventional and data-driven methods are available to correct this bias. In this study, to bias correct the monthly and daily precipitation series, Artificial Neural Network based method is applied and compared with the conventional methods. The normalized root mean squared errors obtained for monthly and daily series are 0.786 and 2.55 respectively. It is found that the performance of ANN-based method is poor in daily series and good only in monthly series. The reason for poor performance in daily series is analysed. In addition, the superiority of ANN based method over conventional method is established in monthly precipitation time series.
{"title":"Performance Evaluation of an ANN based Bias Correction algorithm in Monthly and Daily Precipitation Time Series of La Farge Station, USA","authors":"P. Saravanan, A.R. Prethivirajan, A.S. Sivaprasanna, K. Udhayakumar, C. Sivapragasam","doi":"10.25303/1604da027033","DOIUrl":"https://doi.org/10.25303/1604da027033","url":null,"abstract":"Understanding the change of future precipitation over long run is highly necessary in climate change impact studies. Mostly, simulated future precipitation series are found to be biased more with the historically observed precipitation series which need to be corrected before use for any impact studies. Many conventional and data-driven methods are available to correct this bias. In this study, to bias correct the monthly and daily precipitation series, Artificial Neural Network based method is applied and compared with the conventional methods. The normalized root mean squared errors obtained for monthly and daily series are 0.786 and 2.55 respectively. It is found that the performance of ANN-based method is poor in daily series and good only in monthly series. The reason for poor performance in daily series is analysed. In addition, the superiority of ANN based method over conventional method is established in monthly precipitation time series.","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":"42967966","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 sudden onsets of hazards produce panic and stressful environments for individuals and the masses. They affect people's capacity to restore and maintain everyday functioning. They may experience severe physical and psychological injuries, property destruction, loss of livelihood, displacement and social problems during the disaster. However, the magnitude of disaster impact depends on the people's exposure, vulnerability type and population demography. These lethal situations, triggered by natural or man-made causes, need a multi-sectoral response to reduce the impact. Therefore, the narrative review method highlighted the scope of social work interventions in disaster management. Their assertive involvement in disaster response, recovery and rehabilitation can alter the possible outcomes. They should be engaged in every phase of disaster to perform versatile roles and responsibilities like conducting risk assessments, strengthening early warning systems, preparing an emergency plan, providing psycho-social interventions, facilitating the resettlement and rehabilitation process and policy and program formulation.
{"title":"Tackling Natural Hazards: A Scoping Evidence for Social Work Practice","authors":"G. .","doi":"10.25303/1604da046052","DOIUrl":"https://doi.org/10.25303/1604da046052","url":null,"abstract":"The sudden onsets of hazards produce panic and stressful environments for individuals and the masses. They affect people's capacity to restore and maintain everyday functioning. They may experience severe physical and psychological injuries, property destruction, loss of livelihood, displacement and social problems during the disaster. However, the magnitude of disaster impact depends on the people's exposure, vulnerability type and population demography. These lethal situations, triggered by natural or man-made causes, need a multi-sectoral response to reduce the impact. Therefore, the narrative review method highlighted the scope of social work interventions in disaster management. Their assertive involvement in disaster response, recovery and rehabilitation can alter the possible outcomes. They should be engaged in every phase of disaster to perform versatile roles and responsibilities like conducting risk assessments, strengthening early warning systems, preparing an emergency plan, providing psycho-social interventions, facilitating the resettlement and rehabilitation process and policy and program formulation.","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":"41480552","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}
Natural and anthropogenic pressure leads to landslides which are catastrophic disaster. Due to climate and land use changes, increase in population landslides has been increasing, specifically, in the mountainous areas. It is threat to lives and their properties. It is necessary to understand geophysical setup of any region causing landslides. It is better to have scientific approach to identify landslide potential risk zones. There are several advanced techniques to study landslides. Here analytical hierarchical process and frequency ratio method incorporated with geospatial technology are utilized for identification of conditioning factors for landslides and landslide susceptibility mapping. Most of the landslide susceptible area are located in the eastern and some middle part of study region (Ratnagiri District). The landslide possibilities are very high along the riverside, high slope region and lineament surrounding. Very high susceptible zone is found to be located mainly in middle part of Chiplun, Devrukh, Rajapur and Dapoli, the southern part of Mandangarh, Khed and eastern part of Ratnagiri. The eastern part of Khed, Chiplun, Devrukh and Lanja falls under the high susceptible zone. Middle part of Guhagar, northern part of Ratnagiri and Rajapur fall under moderate susceptible zone. The southern part of Ratnagiri and western side of Rajapur fall under low susceptible zone. Proper planning and development in terms of disaster mitigation management are needed. No further construction near landslide hazards should be allowed. New laws/regulations should also restrict further construction around the zone of slope failures.
{"title":"Geospatial approach for Landslide Susceptibility Mapping techniques: A Case Study of Ratnagiri District, Maharashtra, India","authors":"Umesh P. Potekar, D. Naik, Abhijit S. Patil","doi":"10.25303/1604da034045","DOIUrl":"https://doi.org/10.25303/1604da034045","url":null,"abstract":"Natural and anthropogenic pressure leads to landslides which are catastrophic disaster. Due to climate and land use changes, increase in population landslides has been increasing, specifically, in the mountainous areas. It is threat to lives and their properties. It is necessary to understand geophysical setup of any region causing landslides. It is better to have scientific approach to identify landslide potential risk zones. There are several advanced techniques to study landslides. Here analytical hierarchical process and frequency ratio method incorporated with geospatial technology are utilized for identification of conditioning factors for landslides and landslide susceptibility mapping. Most of the landslide susceptible area are located in the eastern and some middle part of study region (Ratnagiri District). The landslide possibilities are very high along the riverside, high slope region and lineament surrounding. Very high susceptible zone is found to be located mainly in middle part of Chiplun, Devrukh, Rajapur and Dapoli, the southern part of Mandangarh, Khed and eastern part of Ratnagiri. The eastern part of Khed, Chiplun, Devrukh and Lanja falls under the high susceptible zone. Middle part of Guhagar, northern part of Ratnagiri and Rajapur fall under moderate susceptible zone. The southern part of Ratnagiri and western side of Rajapur fall under low susceptible zone. Proper planning and development in terms of disaster mitigation management are needed. No further construction near landslide hazards should be allowed. New laws/regulations should also restrict further construction around the zone of slope failures.","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":"44694744","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}
One of the consequences of climate change is coastal erosion which weakens and destabilizes foundations, habitat loss, infrastructure, loss of tourism etc. These damages result in the failure of business for fishing communities leading to a vicious cycle of poverty and contributes to psycho-socio and economic problems. The objectives of the study are to understand the socioeconomic status of the fishermen's community and to check their awareness about coastal erosion and its impact on their livelihoods. The descriptive design was adopted for this study and semi-structured interview schedule was used to collect the data from 150 family involved in fishing industry. Quota sampling method was used where 30 samples were randomly collected from each of the five targeted areas in Besanth Nagar, Chennai based on the household member’s availability. The findings show that all (100%) of the respondents are aware of the term coastal erosion and what it is. 66.7% of the respondents felt that over the period of time, a coastline has been eroding. Fish depletion is found to be one of the major challenges they faced and due to vulnerabilities they faced, majority (51%) of them do not want their children to continue fishing profession. All (100%) the respondents do not know any policy or program related to coastal erosion and the fishermen community and also confirmed that there has been no intervention from the State or Central Government, to address the issue of coastal erosion.
{"title":"Effects of coastal erosion due to climate change on fishermen communities in Tamil Nadu","authors":"Amuthalakshmi Periasamy","doi":"10.25303/1603da068074","DOIUrl":"https://doi.org/10.25303/1603da068074","url":null,"abstract":"One of the consequences of climate change is coastal erosion which weakens and destabilizes foundations, habitat loss, infrastructure, loss of tourism etc. These damages result in the failure of business for fishing communities leading to a vicious cycle of poverty and contributes to psycho-socio and economic problems. The objectives of the study are to understand the socioeconomic status of the fishermen's community and to check their awareness about coastal erosion and its impact on their livelihoods. The descriptive design was adopted for this study and semi-structured interview schedule was used to collect the data from 150 family involved in fishing industry. Quota sampling method was used where 30 samples were randomly collected from each of the five targeted areas in Besanth Nagar, Chennai based on the household member’s availability. The findings show that all (100%) of the respondents are aware of the term coastal erosion and what it is. 66.7% of the respondents felt that over the period of time, a coastline has been eroding. Fish depletion is found to be one of the major challenges they faced and due to vulnerabilities they faced, majority (51%) of them do not want their children to continue fishing profession. All (100%) the respondents do not know any policy or program related to coastal erosion and the fishermen community and also confirmed that there has been no intervention from the State or Central Government, to address the issue of coastal erosion.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45861932","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}
V. S. Pawar-Patil, P. T. Patil, V. A. Chougule, S. Panhalkar, B. Nikam
The disintegration of soil grains caused by raindrops initiates the erosion process and is the primary source of erosion on small and steep slopes. Soil loss occurs all across the world, but poor countries are more vulnerable to it due to failure to replenish lost soil and minerals. Asian countries have been highlighted as one of the locations on the globe where soil erosion has proven to be a difficult challenge in terms of development and land resource conservation. Because India is the world's second most populous country and agriculture is the backbone of the Indian economy, sustainable land management approaches are urgently needed to protect production potential and provide an adequate supply of healthy food for millions. The Tulasi watershed in Maharashtra, India, is distinguished by heavy rain during the monsoon season, undulating and rocky topography and bare hilltops, all of which increase runoff capacity and make top soil more prone to detachment and loosening. In light of this, the current study employs geo-information technologies and the RUSLE model to derive erosion factors such as rainfall erosivity, soil erodibility, slope length and steepness, land cover and management and to estimate the amount and spatial distribution of soil loss in the study area.
{"title":"Geoinformatic approach to potential soil erosion risk assessment in Tulasi watershed","authors":"V. S. Pawar-Patil, P. T. Patil, V. A. Chougule, S. Panhalkar, B. Nikam","doi":"10.25303/1603da052067","DOIUrl":"https://doi.org/10.25303/1603da052067","url":null,"abstract":"The disintegration of soil grains caused by raindrops initiates the erosion process and is the primary source of erosion on small and steep slopes. Soil loss occurs all across the world, but poor countries are more vulnerable to it due to failure to replenish lost soil and minerals. Asian countries have been highlighted as one of the locations on the globe where soil erosion has proven to be a difficult challenge in terms of development and land resource conservation. Because India is the world's second most populous country and agriculture is the backbone of the Indian economy, sustainable land management approaches are urgently needed to protect production potential and provide an adequate supply of healthy food for millions. The Tulasi watershed in Maharashtra, India, is distinguished by heavy rain during the monsoon season, undulating and rocky topography and bare hilltops, all of which increase runoff capacity and make top soil more prone to detachment and loosening. In light of this, the current study employs geo-information technologies and the RUSLE model to derive erosion factors such as rainfall erosivity, soil erodibility, slope length and steepness, land cover and management and to estimate the amount and spatial distribution of soil loss in the study area.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47026330","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 people of Kerala have suffered the worst natural calamity in the form of heavy flood in 2018 and this continued for a week. The flood and the landslide had created a havoc in the agricultural sector of Kerala. The worst affected sector in the vagary of nature was the plantation sector. The industry lost around Rs. 3.382 crore due to heavy floods (CDS). The floods and the landslide had a major impact on the major planation crops including rubber, tea, coffee and cardamom. Among the different districts, Wayanad was the worst affected district along with Kottayam and Pathanamthitta. In the given context, this study is an attempt to analyse the economic impact of floods in the plantation sector in Kerala. The study found that the farmers are facing the worst financial crisis due to low price and high cost of production. The major problems faced by farmers are the inadequacy of assistance, reduction in yield and lack of pure water, delay in getting support, repayment of the loan and so on.
{"title":"The economic impact of floods on the plantation sector: a study of selected districts in Kerala","authors":"Sabu Greeshma, M. Greeshma","doi":"10.25303/1603da013022","DOIUrl":"https://doi.org/10.25303/1603da013022","url":null,"abstract":"The people of Kerala have suffered the worst natural calamity in the form of heavy flood in 2018 and this continued for a week. The flood and the landslide had created a havoc in the agricultural sector of Kerala. The worst affected sector in the vagary of nature was the plantation sector. The industry lost around Rs. 3.382 crore due to heavy floods (CDS). The floods and the landslide had a major impact on the major planation crops including rubber, tea, coffee and cardamom. Among the different districts, Wayanad was the worst affected district along with Kottayam and Pathanamthitta. In the given context, this study is an attempt to analyse the economic impact of floods in the plantation sector in Kerala. The study found that the farmers are facing the worst financial crisis due to low price and high cost of production. The major problems faced by farmers are the inadequacy of assistance, reduction in yield and lack of pure water, delay in getting support, repayment of the loan and so on.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45293174","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}
India is an agriculture-based country and the agriculture product is highly influenced by the Southwest monsoon. Forecasting of monsoon is of prime importance for planning to select appropriate Kharif crops and their varieties to minimize crop losses. Many Indian scientists have proposed sciencebased techniques while local traditional farmers have used indigenous methods to forecast weather conditions and predict a likely behaviour of the Southwest monsoon. However, predicting the Southwest monsoon pattern remains the most challenging task till date. In the present study, a methodology is developed to predict the Southwest monsoon for sub-regions of Saurashtra (India) based on the observation of some of the local factors consisting of observation of local weather, type of wind and its direction, heat waves, astronomical parameters and cloud type pattern. The predicted average rainfall was found 860mm which is nearly 20% less (1055mm) for the year 2019.The results show that the methodology under predicted the rainfall and provided consistent outcomes. It performed well in R3 sub-region and poor in R5 subregion. It will be useful to the farmers of the study region in planning and selection of appropriate crops and its variables at a definite sowing time to secure Kharif production.
{"title":"Prediction of Southwest Monsoon Pattern of Saurashtra Region (India) using Customized Indigenous Method","authors":"M. Gundalia, P. Gundaliya, J. Gundalia","doi":"10.25303/1603da035043","DOIUrl":"https://doi.org/10.25303/1603da035043","url":null,"abstract":"India is an agriculture-based country and the agriculture product is highly influenced by the Southwest monsoon. Forecasting of monsoon is of prime importance for planning to select appropriate Kharif crops and their varieties to minimize crop losses. Many Indian scientists have proposed sciencebased techniques while local traditional farmers have used indigenous methods to forecast weather conditions and predict a likely behaviour of the Southwest monsoon. However, predicting the Southwest monsoon pattern remains the most challenging task till date. In the present study, a methodology is developed to predict the Southwest monsoon for sub-regions of Saurashtra (India) based on the observation of some of the local factors consisting of observation of local weather, type of wind and its direction, heat waves, astronomical parameters and cloud type pattern. The predicted average rainfall was found 860mm which is nearly 20% less (1055mm) for the year 2019.The results show that the methodology under predicted the rainfall and provided consistent outcomes. It performed well in R3 sub-region and poor in R5 subregion. It will be useful to the farmers of the study region in planning and selection of appropriate crops and its variables at a definite sowing time to secure Kharif production.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49600865","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 rapid urbanization in developing countries contributed to the severity of urban environmental hazards such as slope failure and flooding. In addition, heavy rainfall or alterations to natural environmental characteristics trigger the incidence of hazards such as landslides where local topographic conditions often exacerbate the vulnerability of the built environment. Landslide causes numerous fatalities and financial damage to millions worldwide and India is no exception. In most of the Indian cities, the physical expansion during the past few decades has resulted in increased vulnerability, with the occupation of hill slopes subject to instability. Therefore, the impact of physical characteristics of the environment and human interventions needs to be examined in assessing urban vulnerability. This study examines the vulnerability of urban settlements to landslide risk with Warje Slum, Pune, Maharashtra as a case study. It attempts to understand better the causative factors of landslides and their impact to suggest ways for better disaster management to save life and property in the future.
{"title":"Landslide Vulnerability of Urban slums: Case of Warje Slum, Pune, Maharashtra","authors":"V. Gokhale, D. Joshi","doi":"10.25303/1603da044051","DOIUrl":"https://doi.org/10.25303/1603da044051","url":null,"abstract":"The rapid urbanization in developing countries contributed to the severity of urban environmental hazards such as slope failure and flooding. In addition, heavy rainfall or alterations to natural environmental characteristics trigger the incidence of hazards such as landslides where local topographic conditions often exacerbate the vulnerability of the built environment. Landslide causes numerous fatalities and financial damage to millions worldwide and India is no exception. In most of the Indian cities, the physical expansion during the past few decades has resulted in increased vulnerability, with the occupation of hill slopes subject to instability. Therefore, the impact of physical characteristics of the environment and human interventions needs to be examined in assessing urban vulnerability. This study examines the vulnerability of urban settlements to landslide risk with Warje Slum, Pune, Maharashtra as a case study. It attempts to understand better the causative factors of landslides and their impact to suggest ways for better disaster management to save life and property in the future.","PeriodicalId":50576,"journal":{"name":"Disaster Advances","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47581305","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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