Disaster Advances最新文献_第8页

Prioritization of Sub-watersheds through morphometric analysis in the Lower Hiranyakeshi Sub-basin, Karnataka 卡纳塔克邦下Hiranyakeshi次流域通过形态计量分析确定次流域的优先次序

Disaster Advances Pub Date : 2023-03-15 DOI: 10.25303/1604da016026

Chikkansamshi Basavraj, A. Swanand, J. Devaraju, S. Manjunatha

引用次数: 0

Disaster-resilient villages: strengthening community capacity in flood disasters managing in wetland areas 抗灾村庄:加强湿地地区洪水灾害管理的社区能力

Disaster Advances Pub Date : 2023-03-15 DOI: 10.25303/1604da01007

D. Arisanty, K. Hastuti, H. P. N. Putro

{"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}

引用次数: 1

Performance Evaluation of an ANN based Bias Correction algorithm in Monthly and Daily Precipitation Time Series of La Farge Station, USA 基于人工神经网络的偏差校正算法在美国La Farge站月、日降水时间序列中的性能评价

Disaster Advances Pub Date : 2023-03-15 DOI: 10.25303/1604da027033

P. Saravanan, A.R. Prethivirajan, A.S. Sivaprasanna, K. Udhayakumar, C. Sivapragasam

引用次数: 0

Tackling Natural Hazards: A Scoping Evidence for Social Work Practice 应对自然灾害：社会工作实践的范围证据

Disaster Advances Pub Date : 2023-03-15 DOI: 10.25303/1604da046052

G. .

引用次数: 0

Geospatial approach for Landslide Susceptibility Mapping techniques: A Case Study of Ratnagiri District, Maharashtra, India 滑坡易感性测绘技术的地理空间方法：以印度马哈拉施特拉邦Ratnagiri区为例

Disaster Advances Pub Date : 2023-03-15 DOI: 10.25303/1604da034045

Umesh P. Potekar, D. Naik, Abhijit S. Patil

{"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}

引用次数: 0

Effects of coastal erosion due to climate change on fishermen communities in Tamil Nadu 气候变化对泰米尔纳德邦渔民社区的海岸侵蚀影响

Disaster Advances Pub Date : 2023-02-15 DOI: 10.25303/1603da068074

Amuthalakshmi Periasamy

{"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}

引用次数: 1

Geoinformatic approach to potential soil erosion risk assessment in Tulasi watershed 土拉西流域潜在土壤侵蚀风险评估的地理信息学方法

Disaster Advances Pub Date : 2023-02-15 DOI: 10.25303/1603da052067

V. S. Pawar-Patil, P. T. Patil, V. A. Chougule, S. Panhalkar, B. Nikam

{"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}

引用次数: 0

The economic impact of floods on the plantation sector: a study of selected districts in Kerala 洪水对种植业的经济影响：对喀拉拉邦选定地区的研究

Disaster Advances Pub Date : 2023-02-15 DOI: 10.25303/1603da013022

Sabu Greeshma, M. Greeshma

引用次数: 0

Prediction of Southwest Monsoon Pattern of Saurashtra Region (India) using Customized Indigenous Method 使用定制本土方法预测印度索拉什特拉邦西南季风模式

Disaster Advances Pub Date : 2023-02-15 DOI: 10.25303/1603da035043

M. Gundalia, P. Gundaliya, J. Gundalia

{"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}

引用次数: 0

Landslide Vulnerability of Urban slums: Case of Warje Slum, Pune, Maharashtra 城市贫民窟的滑坡脆弱性:以马哈拉施特拉邦浦那Warje贫民窟为例

Disaster Advances Pub Date : 2023-02-15 DOI: 10.25303/1603da044051

V. Gokhale, D. Joshi

引用次数: 0