[1]石涛,刘军,张丽,等.基于GIS和意愿调查法的气象为农服务效益评估[J].气象研究与应用,2016,37(04):86-89.
　Shi Tao,Liu Jun,Zhang Li,et al.Benefit evaluation on meteorological services for agricultures based on GIS and contingent valuation method[J].Journal of Meteorological Research and Application,2016,37(04):86-89.
点击复制

基于GIS和意愿调查法的气象为农服务效益评估()
分享到：

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第37卷
期数:
2016年04期
页码:
86-89
栏目:
应用气象
出版日期:
2017-02-20

文章信息/Info

Title:
Benefit evaluation on meteorological services for agricultures based on GIS and contingent valuation method
作者:
石涛1;  刘军1;  张丽1;  陈金华2
1. 芜湖市气象局, 安徽芜湖 241000;
2. 安徽省农业气象中心, 安徽合肥 230031
Author(s):
Shi Tao1;  Liu Jun1;  Zhang Li1;  Chen Jin-hua2
l. Wuhu Municipal Meteorological Service, Wuhu Anhui 241000;
2. Anhui Province Agro-meteorological Centre, Hefei Anhui, 230031
关键词:
气象为农服务; GIS; 意愿调查法; 效益评估
Keywords:
meteorological service for agriculture; GIS; contingent valuation method; benefit evaluation
分类号:
P49
摘要:
本文选取安徽芜湖市为研究区域,采用意愿调查法和GIS对气象为农服务效益进行精细化评估,并从农业人口、耕地面积、乡镇信息员等方面对效益的区域差异性进行分析。结果如下:2015年芜湖市气象为农服务经济效益为0.4775亿元人民币,占2015年芜湖市生产总值的0.021%,占2015年芜湖市农业生产总值(第一产业)的0.399%。芜湖县、繁昌县、南陵县的气象为农服务经济效益整体水体较高,而无为县的整体水平较低。农业人口与服务效益的相关性不高,耕地面积与服务经济效益存在一定的相关性,信息员与服务经济效益的相关性较高,说明对服务经济效益的影响较大。本次气象为农服务效益评估是了解为农服务需求的一次有益探索,对于未来更好地为社会发展和农业生产服务,具有十分重要的意义。
Abstract:
Based on the contingent valuation method and GIS, the benefit of meteorological service for the agriculture was refined assessed, and the regional differences were analyzed from the agricultural population, the cultivated land area, the villages and towns the researcher. The results are as follows:economic benefits of 2015 Wuhu meteorological service for the agriculture is 047.75 million yuan, about 0.021% of the total cost of the Wuhu production in 2015, accounting for 2015 Wuhu agricultural GDP (0.399% of the first industry). The overall economic benefit of meteorological services for the agriculture in Wuhu county, Fanchang county and Nanling county, are higher, while that of Wuwei county is low. The relevance of agricultural population and service efficiency is not high, and there is some correlation between the cultivated land area and the service economic benefit, and the messenger has a high correlation with the economic benefits, which illustrate a larger influence on the economic benefits of the service. This benefit assessment is a useful exploration for knowing the service requirements and it is very vital for future better servicing the social development and agricultural production.

相似文献/References:

[1].基于GIS和RS的雨雪冰冻灾害分布特征分析[J].气象研究与应用,2014,35(01):21.
[2].苍梧县砂糖桔低温冷害风险区划[J].气象研究与应用,2014,35(01):63.
[3]杨宇川,梁珊珊,梁文希.基于GIS的贵港市雷暴日时空变化特征[J].气象研究与应用,2017,38(03):122.
　Yang Yu-chuan,Liang Shan-shan,Liang Wen-xi.Spatial-temporal distribution characteristics of thunderstorm days by GIS in Guigang[J].Journal of Meteorological Research and Application,2017,38(04):122.
[4]黄帆,徐芳.梧州市基于GIS荔枝优化布局的气候区划[J].气象研究与应用,2016,37(04):62.
　Huang Fan,Xu Fang.Climate zoning of Litchi optimization layout based on GIS in Wuzhou[J].Journal of Meteorological Research and Application,2016,37(04):62.
[5]钟喆,华璀,陈俊雄.广西沿海城镇建设格局时空演化研究[J].气象研究与应用,2016,37(04):73.
　ZHONG Zhe,HUA Cui,CHEN Junxiong.Study on Temporal-Spatial Evolution of the Coastal Town Construction Pattern in Guangxi[J].Journal of Meteorological Research and Application,2016,37(04):73.
[6]黄肖寒,黄卓帆,李有为,等.河池市雷电时空分布特征及雷击灾害风险区划[J].气象研究与应用,2016,37(04):102.
　Huang Xiao-han,Huang Zhuo-fan,Li You-wei,et al.Spatial and temporal distribution characteristics of Lightening and disaster risk regionalization in Hechi[J].Journal of Meteorological Research and Application,2016,37(04):102.
[7]周展程,孙志强.基于GIS的自动气象站数据业务平台的实现[J].气象研究与应用,2016,37(01):91.
　ZHOU Zhan-cheng,SUN Zhi-qiang.Automatic station data service platform based on GIS[J].Journal of Meteorological Research and Application,2016,37(04):91.
[8]李学敏,邓玲.张家界武陵源区降雨诱发地质灾害风险区划[J].气象研究与应用,2021,42(04):68.[doi:10.19849/j.cnki.CN45-1356/P.2021.4.12]
　Li Xuemin,Deng Ling.Research on regional risk zoning of rainfall-induced geo-hazards in Wulingyuan, Zhangjiajie[J].Journal of Meteorological Research and Application,2021,42(04):68.[doi:10.19849/j.cnki.CN45-1356/P.2021.4.12]
[9]莫建飞,陈诚,陈燕丽,等.2000-2019年广西喀斯特地区植被分布格局及时空变化分析[J].气象研究与应用,2022,43(04):13.[doi:10.19849/j.cnki.CN45-1356/P.2022.4.03]
　Mo Jianfei,Chen Cheng,Chen Yanli,et al.Analysis of vegetation distribution pattern and temporal and spatial changes in karst region of Guangxi during 2000 to 2019[J].Journal of Meteorological Research and Application,2022,43(04):13.[doi:10.19849/j.cnki.CN45-1356/P.2022.4.03]

备注/Memo

备注/Memo:
收稿日期:2016-06-12。
基金项目:国家自然科学基金项目(41205126),安徽省气象局科技发展基金(KM201520)
作者简介:石涛(1987.2-),男,芜湖人,硕士,工程师,主要从事农业气象与卫星遥感研究,E_mail:stahau1987@163.com
更新日期/Last Update: 1900-01-01