期刊文献+
共找到9篇文章
< 1 >
每页显示 20 50 100
基于Logistic模型水环境污染农业经济损失研究 被引量:1
1
作者 詹晓燕 刘臣辉 《环境保护与循环经济》 2010年第2期73-76,共4页
基于污染物的环境污染损失机理性模型,Logistic方程及环境价值的相关理论,建立了环境污染经济损失估算模型。利用此模型估算了2003—2007年某市2条主要河流J河和G河的水污染造成的农业经济损失,并计算了2007年度5种污染物浓度单独增加10... 基于污染物的环境污染损失机理性模型,Logistic方程及环境价值的相关理论,建立了环境污染经济损失估算模型。利用此模型估算了2003—2007年某市2条主要河流J河和G河的水污染造成的农业经济损失,并计算了2007年度5种污染物浓度单独增加10%造成的污染损失值。结果表明:近5a来,2条主要河流由于水环境污染造成的农业经济损失逐年增加。 展开更多
关键词 LOGISTIC模型 水污染 农业经济损失
下载PDF
基于混合损失超越曲线的省域气象灾害农业风险评估 被引量:2
2
作者 刘耀龙 何冰晶 +1 位作者 张华明 王军 《干旱区地理》 CSCD 北大核心 2023年第5期711-718,共8页
近年来,全球减轻灾害风险战略对广布型灾害风险的认知以及地方尺度上持续优先管控密集型灾害风险的效能引发了学术界和应急管理利益相关者对灾害风险管理理论与实践的争议。通过分析山西省1983—2019年历史气象灾害特征,提出运用混合损... 近年来,全球减轻灾害风险战略对广布型灾害风险的认知以及地方尺度上持续优先管控密集型灾害风险的效能引发了学术界和应急管理利益相关者对灾害风险管理理论与实践的争议。通过分析山西省1983—2019年历史气象灾害特征,提出运用混合损失超越曲线(HLEC)估算中国省域气象灾害年均农业经济损失(AAL)和典型重现期情景下的最大农业经济损失(OEP),全面准确地反映气象灾害农业风险水平。结果表明:(1)山西省气象灾害AAL达22.22×10^(8)元,单次灾害OEP超过0.15×10^(8)元,即全省全年和受损县区单次“灾害防治及应急管理支出”储备分别不低于22.22×10^(8)元和0.15×10^(8)元。(2)HLEC在省域尺度上的灾害风险评估有效,在地级市和县区尺度上的适用性和有效率接近60%。(3)山西省97%以上的历史气象灾害为广布型灾害,造成超过95%的农业受灾面积和农业经济损失,相应的AAL和OEP占比均超过85%,广布型灾害风险是省域减轻灾害风险和灾害风险管理的重点。籍此,本研究初步证实了地方或基层减轻广布型灾害风险的必要性(为什么管),讨论了传统应急管控广布型灾害风险不足的原因(不敢管、管不了和不想管),提出了及时应对广布型灾害风险和避免其累积带来社会经济影响的意义(如永久脱贫、高质量城市化、可持续发展),拟为各级政府和应急管理部门制定减轻灾害风险和灾害风险管理策略提供正确方向,为提高城市、社区和家庭的灾害韧性提供决策参考。 展开更多
关键词 混合损失超越曲线 气象灾害 广布型灾害风险 农业经济损失 山西省
下载PDF
基于Logistic模型楚雄市龙川江下游水环境污染对农业经济效益影响研究
3
作者 王天强 马贤成 +4 位作者 尹灶芹 李婧婕 李娜 高明月 陈仙 《环境保护前沿》 2023年第3期587-595,共9页
为研究楚雄市城市河流流域龙川江对农业经济效益的影响,在楚雄市龙川江下游区段对镍、磷、氨氮、锰、六价铬、总铁、亚硝酸盐水质进行检测的基础上,基于Logistic模型核算2022年5月~11月楚雄市龙川江下游区段水污染造成的农业经济损失。... 为研究楚雄市城市河流流域龙川江对农业经济效益的影响,在楚雄市龙川江下游区段对镍、磷、氨氮、锰、六价铬、总铁、亚硝酸盐水质进行检测的基础上,基于Logistic模型核算2022年5月~11月楚雄市龙川江下游区段水污染造成的农业经济损失。结果表明:楚雄市龙川江下游氨氮和亚硝酸盐浓度总体上呈同步变化趋势,氨氮指标对农业损失值影响最大,农业经济综合损失率和农业经济损失值在9月达最高值,农业经济综合损失率最高为99.1562%,农业经济损失值最高值为119263.2万元。东盛桥断面农业经济累计损失298594.661万元,双园桥断面农业经济累计损失188368.706万元。因此必须及时监测污染物浓度,综合治理城市污水,控制流域氨氮浓度,降低水体污染物浓度。 展开更多
关键词 LOGISTIC模型 水污染 农业经济损失
下载PDF
干旱灾害对社会经济影响研究综述
4
作者 李金鑫 《时代经贸》 2013年第6期193-193,共1页
通过回顾以往研究干旱灾害对社会经济不同产业造成的影响,指出目前研究中存在的一些不足,根据干旱灾害对社会经济影响研究的两个主要目的提出对以后研究的展望。
关键词 干旱灾害 经济影响 农业经济损失
下载PDF
环境污染背景下的“三农问题” 被引量:66
5
作者 张玉林 顾金土 《战略与管理》 CSSCI 2003年第3期63-72,共10页
关键词 环境污染 “三农问题” 环境问题 中国 农村 农业 环境污染 农业经济损失 生存权 生命损害
下载PDF
凤台县煤粮复合区耕地演变预测及影响 被引量:1
6
作者 陈景平 胡振琪 +2 位作者 袁冬竹 张瑞娅 许涛 《矿业科学学报》 2018年第5期425-433,共9页
以安徽省凤台县为研究对象,利用Arc GIS将耕地资源分布图、煤炭资源分布图及矿井建设图进行叠加,分析凤台县煤粮复合区特征。基于概率积分法基本原理,利用MSPS沉陷软件对凤台县内因采煤沉陷引起的耕地演变趋势进行了预测分析,进而预测... 以安徽省凤台县为研究对象,利用Arc GIS将耕地资源分布图、煤炭资源分布图及矿井建设图进行叠加,分析凤台县煤粮复合区特征。基于概率积分法基本原理,利用MSPS沉陷软件对凤台县内因采煤沉陷引起的耕地演变趋势进行了预测分析,进而预测耕地损毁导致的粮食减产量,并估算其造成的农业经济损失。结果表明:凤台县煤粮复合区面积占耕地面积的78.39%,占含煤区面积的77.25%,县域内井田面积占煤粮复合区面积的50.66%。随着煤炭资源的不断开采,全县煤粮复合区内的耕地面积将不断减少,耕地受损程度将不断加重,严重影响了当地的粮食产量、农业经济发展和社会稳定。据预测,到闭矿时损毁耕地面积占全县总耕地面积的43.68%,采煤损毁耕地导致粮食减产量达13.48万吨,农业经济损失达3.04亿元,将造成大量农民无地可种,从而引发社会矛盾。对此提出了相应的对策与建议。 展开更多
关键词 煤粮复合区 耕地演变预测 粮食减产量 农业经济损失 概率积分法 采煤沉陷
下载PDF
Assessing Drought Vulnerability of Bulgarian Agriculture through Model Simulations 被引量:2
7
作者 Zomitsa Popova Maria Ivanova +4 位作者 Luis Santos Pereira Vesselin Alexandrov Katerina Doneva Petra Alexandrova Milena Kercheva 《Journal of Environmental Science and Engineering(B)》 2012年第8期1017-1036,共20页
This study assesses vulnerability of agriculture to drought, using WINISAREG model and seasonal SPI2-index for eight climate regions (1951-2004). Results relative to Plovdiv show that in soils of large TAW (total a... This study assesses vulnerability of agriculture to drought, using WINISAREG model and seasonal SPI2-index for eight climate regions (1951-2004). Results relative to Plovdiv show that in soils of large TAW (total available water) net irrigation requirements NIRs range from 0 to 380 mm. In soils of small TAW, NIRs reach 440 mm in the very dry year. NIRs in Sofia/Silistra are about 100 mm smaller than in Plovdiv while in Sandanski they are 30-110 mm larger. Rainfed maize is associated with great yield variability (29% 〈 Cv 〈 72%). Considering an economical RYD (relative yield decrease) threshold, 32% of years are risky when TA Wis large in Plovdiv that is double than in Sofia and half than in Sandanski. In North Bulgaria the risky years are 10% in Pleven/Silistra that is half than in Lom. In Plovdiv region reliable relationships (R2 〉 91%) were found relating the SPI2 "July-Aug." with simulated RYD of rainfed maize while remaining relationships were less accurate (73% 〈 R2 〈 86%). Economical losses are produced when High Peak Season SPI2 〈 + 0.20 in Sandanski, SPI2 〈 - 0.50 in Plovdiv and SPI2 〈 - 0.90 in Sofia. In North Bulgaria the SPI2 threshold ranges from - 0.75 to - 1.50. Derived reliable relationships and SPl-thresholds are used for drought vulnerability mapping. 展开更多
关键词 Drought vulnerability MAIZE ISAREG simulation model SPI-index drought vulnerability mapping.
下载PDF
Gender, Poverty and Climate Change in Nigeria
8
作者 Tanimu Tubayini Zakariah Esther Englama 《Journal of Earth Science and Engineering》 2014年第3期134-140,共7页
The purpose of this paper is to examine the impact of climate change on gender and poverty in Nigeria. The paper relies mainly on secondary data generated by private individuals, government and non-government bodies. ... The purpose of this paper is to examine the impact of climate change on gender and poverty in Nigeria. The paper relies mainly on secondary data generated by private individuals, government and non-government bodies. From these sources, the paper reveals that climate change has resulted in higher temperature increase frequency on extreme weather events in the country, such as storms or record drought resulting in the dislocation of agricultural areas and its consequence food shortage. Women are the hardest hit because they produce food and do not have control over land to make most communities vulnerable to flooding as seen in Lokoja, Bauchi and Kaduna among others in Nigeria. Flooding has increased the frequency of vector-borne diseases such as malaria, dysentery, typhoid, cholera, etc.. Women who clean the mess left behind after the flood are mostly affected. It is also revealed that climate change has resulted in great economic losses, with most of the losses to be in agricultural production, the engine of growth and the mainstay of the economy. Finally, the paper suggests measures such as reduction in deforestation by provision of alternative source of energy and environmental friendly industrial activities will help reduce the rate of discharge of carbon-dioxide into the atmosphere. 展开更多
关键词 GENDER POVERTY climate change.
下载PDF
Landscape changes have greater effects than climate changes on six insect pests in China 被引量:5
9
作者 Zihua Zhao Hardev S Sandhu +1 位作者 Fang Ouyang Feng Ge 《Science China(Life Sciences)》 SCIE CAS CSCD 2016年第6期627-633,共7页
In recent years, global changes are the major causes of frequent, widespread outbreaks of pests in mosaic landscapes, which have received substantial attention worldwide. We collected data on global changes(landscape ... In recent years, global changes are the major causes of frequent, widespread outbreaks of pests in mosaic landscapes, which have received substantial attention worldwide. We collected data on global changes(landscape and climate) and economic damage caused by six main insect pests during 1951–2010 in China. Landscape changes had significant effects on all six insect pests. Pest damage increased significantly with increasing arable land area in agricultural landscapes. However, climate changes had no effect on damage caused by pests, except for the rice leaf roller(Cnaphalocrocis medinalis Guenee) and armyworm(Mythimna separate(Walker)), which caused less damage to crops with increasing mean temperature. Our results indicate that there is slight evidence of possible offset effects of climate changes on the increasing damage from these two agricultural pests. Landscape changes have caused serious outbreaks of several species, which suggests the possibility of the use of landscape design for the control of pest populations through habitat rearrangement. Landscape manipulation may be used as a green method to achieve sustainable pest management with minimal use of insecticides and herbicides. 展开更多
关键词 biological control cropland expansion global warming mosaic landscape pest damage
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部