Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] In post-pandemic era, personal information has become the core data resource for community governance. Under the premise of privacy protection, how to create a more harmonious scene of personal information applications, is an urgent question to be solved in the modernization of community governance based on big data.[Method/process] The residents' perspective was used as the entry point, the scenario variables of community governance were set from three aspects:interest tendency, security relevance and disclosure degree, and analyzed the influence mechanism of scenarios on the intention to disclose personal information through questionnaire survey, combined the characteristics of personal attributes to reveal the laws of different population, and then discussed the optimization suggestions for community governance of personal information application scenarios.[Result/conclusion] Research shows, residents are affected by OCB factors, which makes them have a higher intention to disclose personal information in the public benefit scenarios and highly security-related scenarios; while personal information is being used for community governance, adding personalized service feedback will help improve disclosure intention; the collection of personal data in the community should focus on the distribution of individual attributes of residents, and respond to residents' concerns as much as possible.
Subjects: Environmental Sciences, Resource Sciences >> Basic Disciplines of Environmental Science and Technology submitted time 2020-06-21 Cooperative journals: 《干旱区研究》
Abstract：利用主被动微波卫星（SMAP）土壤含水量数据，从相同空间尺度上对比了全球在运行系统中3种常见遥感干旱指数[距平植被指数(AVI)、植被健康指数(VHI)、植被供水指数(VSWI)]在哈萨克斯坦农业干旱监测上的一致性。通过皮尔森相关系数（r）和肯德尔秩相关系数（τ），分别检验干旱指数与土壤含水量及其在干旱等级判断上的相关性，以评估遥感在哈萨克斯坦作物生长季中后期干旱监测中的适用性。结果表明：不同干旱指数在该地区一致性不高。基于植被状况的遥感干旱指数与土壤含水量相关性较低，而结合植被和地表温度的综合指数具有显著正相关。不同土层比较上，VSWI指数与作物根区（0~100 cm）土壤含水具有较强相关性（r>0.6），表明其对植物生长季中后期的土壤含水状况有较好的响应能力。
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