输电线路在自然灾害或人为破坏等外力干扰下,易受损坏或发生故障,致使电力系统全部或部分功能丧失。将输电线路物理脆弱性定位于"功能失效",从人与环境对输电线路造成的压力、输电线路自身状态及功能失效后的响应等方面进行分...输电线路在自然灾害或人为破坏等外力干扰下,易受损坏或发生故障,致使电力系统全部或部分功能丧失。将输电线路物理脆弱性定位于"功能失效",从人与环境对输电线路造成的压力、输电线路自身状态及功能失效后的响应等方面进行分析,构建输电线路物理脆弱性评估指标体系;借鉴已有评估方法,提出基于压力指数、状态指数和响应指数的评估模型;应用三角图法对输电线路进行物理脆弱性评估和分类,分析影响输电线路物理脆弱性的主要因素。以某500 k V输电线路为例进行实例分析,结果表明影响该输电线路脆弱性关键因素为压力和响应。展开更多
With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities....With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities.The study aims to assess the biophysical and social vulnerability of agriculture communities using an indicator-based approach for the state of Uttarakhand,India.A total of 14 indicators were used to capture biophysical vulnerability and 22 for social vulnerability profiles of15285 villages.Vulnerability analysis was done at village level with weights assigned to each indicator using Analytical Hierarchical Process(AHP).The results of the study highlight the presence of very high biophysical vulnerability(0.82 ± 0.10) and high social vulnerability(0.65 ± 0.15) within the state.Based on the results,it was found that incidences of high biophysical vulnerability coincide with presence of intensified agriculture land and absence of dense forest.Higher social vulnerability scores were found in villages with an absence of local institutions(like Self Helping Groups(SHGs)),negligible infrastructure facilities and higher occupational dependence on agriculture.A contrast was observed in the vulnerability scores of villages present in the three different altitudinal zones in the study area,indicating respective vulnerability generating conditions existing in these three zones.Biophysical vulnerability was recorded to be highest in the villages falling in the lower zone and lowest in the upper zone villages;whereas,social vulnerability was found to be highest in the middle zone villages and lowest in lower zone villages.Our study aids policy makers in identifying areas for intervention to expedite agriculture adaptation planning in the state.Additionally,the adaptation programmes in the region need to be more context-specific to accommodate the differential altitudinal vulnerability profiles.展开更多
文摘输电线路在自然灾害或人为破坏等外力干扰下,易受损坏或发生故障,致使电力系统全部或部分功能丧失。将输电线路物理脆弱性定位于"功能失效",从人与环境对输电线路造成的压力、输电线路自身状态及功能失效后的响应等方面进行分析,构建输电线路物理脆弱性评估指标体系;借鉴已有评估方法,提出基于压力指数、状态指数和响应指数的评估模型;应用三角图法对输电线路进行物理脆弱性评估和分类,分析影响输电线路物理脆弱性的主要因素。以某500 k V输电线路为例进行实例分析,结果表明影响该输电线路脆弱性关键因素为压力和响应。
基金the support of the Ministry of Environment & Forests(MoEF),Government of India (GoI) (Project Serial Number:R&D/NNRMS/2/2013-14)
文摘With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities.The study aims to assess the biophysical and social vulnerability of agriculture communities using an indicator-based approach for the state of Uttarakhand,India.A total of 14 indicators were used to capture biophysical vulnerability and 22 for social vulnerability profiles of15285 villages.Vulnerability analysis was done at village level with weights assigned to each indicator using Analytical Hierarchical Process(AHP).The results of the study highlight the presence of very high biophysical vulnerability(0.82 ± 0.10) and high social vulnerability(0.65 ± 0.15) within the state.Based on the results,it was found that incidences of high biophysical vulnerability coincide with presence of intensified agriculture land and absence of dense forest.Higher social vulnerability scores were found in villages with an absence of local institutions(like Self Helping Groups(SHGs)),negligible infrastructure facilities and higher occupational dependence on agriculture.A contrast was observed in the vulnerability scores of villages present in the three different altitudinal zones in the study area,indicating respective vulnerability generating conditions existing in these three zones.Biophysical vulnerability was recorded to be highest in the villages falling in the lower zone and lowest in the upper zone villages;whereas,social vulnerability was found to be highest in the middle zone villages and lowest in lower zone villages.Our study aids policy makers in identifying areas for intervention to expedite agriculture adaptation planning in the state.Additionally,the adaptation programmes in the region need to be more context-specific to accommodate the differential altitudinal vulnerability profiles.
