Nano-pesticides: Composition, Bioavailability and Release Mechanism in the Environment

Vani Raveendran, Vanisha Godara, Dion Mistry, M. S. Sankhla, K. Awasthi, G. P. Singh, P. Lodha, G. Awasthi
{"title":"Nano-pesticides: Composition, Bioavailability and Release Mechanism in the Environment","authors":"Vani Raveendran, Vanisha Godara, Dion Mistry, M. S. Sankhla, K. Awasthi, G. P. Singh, P. Lodha, G. Awasthi","doi":"10.18811/ijpen.v8i02.04","DOIUrl":null,"url":null,"abstract":"The present investigation was carried out during 2015-2016. The change was analyzed for a period of 10 years (2005 to 2015). Landsatoperational land imager (OLI) and thematic mapper (TM) satellite images (of 30 m resolution) of the years 2015 and 2005 were used.Mapping was performed on a 1:50,000 scale using ArcGIS software, and for image enhancement, ERDAS imagine software was used.Extensive Ground Truthing was employed to supplement accuracy assessment and a total of 133 ground truth points were taken fordata collection. The overall classification accuracy of the mapping was 92.48% and the Kappa coefficient was 0.87. The study area wasdelineated via visual image interpretation technique into 10 LULC classes viz., forest, forest scrub, agriculture, grassland, snow, waterbody,horticulture, wasteland, and agroforestry respectively. The forest cover density map was classified into three classes on the basis of crowndensity viz., Closed Forest, Open Forest and Forest Scrub. Furthermore, two additional classes grassl and non-forest were also delineated.The results obtained from change analysis were used to identify the drivers of forest cover change using a close-ended semi-structuredinterview schedule. The responses were assigned scores for the ranking of drivers using statistical analysis. The comparison of maps of2005 and 2015 revealed that the total forest area has reduced by 0.48% from 2005 to 2015. The area under agriculture has declined by0.87% during the same period. Horticulture has shown an increase of 0.8% during the decade. It was also found that the area underClosed Forests reduced by 1.05% from 2005 to 2015 while Open Forests, forest scrub, and grassland increased by 0.57 %, 0.27% and0.08% respectively. In terms of area, conversion of Closed Forest into Open Forest 851.48 ha), Closed Forest into Forest Scrub (104.77ha), and Open Forest into Forest Scrub (33.26 ha) ascribed to forest degradation whereas conversion of 111.42 ha, 59.87 ha and 26.61ha of land from closed forest, forest scrub and open forest into non-forest can be attributed to deforestation.","PeriodicalId":14298,"journal":{"name":"INTERNATIONAL JOURNAL OF PLANT AND ENVIRONMENT","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF PLANT AND ENVIRONMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18811/ijpen.v8i02.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The present investigation was carried out during 2015-2016. The change was analyzed for a period of 10 years (2005 to 2015). Landsatoperational land imager (OLI) and thematic mapper (TM) satellite images (of 30 m resolution) of the years 2015 and 2005 were used.Mapping was performed on a 1:50,000 scale using ArcGIS software, and for image enhancement, ERDAS imagine software was used.Extensive Ground Truthing was employed to supplement accuracy assessment and a total of 133 ground truth points were taken fordata collection. The overall classification accuracy of the mapping was 92.48% and the Kappa coefficient was 0.87. The study area wasdelineated via visual image interpretation technique into 10 LULC classes viz., forest, forest scrub, agriculture, grassland, snow, waterbody,horticulture, wasteland, and agroforestry respectively. The forest cover density map was classified into three classes on the basis of crowndensity viz., Closed Forest, Open Forest and Forest Scrub. Furthermore, two additional classes grassl and non-forest were also delineated.The results obtained from change analysis were used to identify the drivers of forest cover change using a close-ended semi-structuredinterview schedule. The responses were assigned scores for the ranking of drivers using statistical analysis. The comparison of maps of2005 and 2015 revealed that the total forest area has reduced by 0.48% from 2005 to 2015. The area under agriculture has declined by0.87% during the same period. Horticulture has shown an increase of 0.8% during the decade. It was also found that the area underClosed Forests reduced by 1.05% from 2005 to 2015 while Open Forests, forest scrub, and grassland increased by 0.57 %, 0.27% and0.08% respectively. In terms of area, conversion of Closed Forest into Open Forest 851.48 ha), Closed Forest into Forest Scrub (104.77ha), and Open Forest into Forest Scrub (33.26 ha) ascribed to forest degradation whereas conversion of 111.42 ha, 59.87 ha and 26.61ha of land from closed forest, forest scrub and open forest into non-forest can be attributed to deforestation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
纳米农药:组成、生物利用度及环境释放机制
本调查于2015-2016年进行。这一变化被分析了10年(2005年至2015年)。使用2015年和2005年的Landsatoperational land imager (OLI)和专题制图器(TM)卫星图像(分辨率为30 m)。使用ArcGIS软件以1:50 000比例尺进行制图,使用ERDAS imagine软件进行图像增强。采用广泛的地面真值来补充准确性评估,共采集133个地面真值点进行数据收集。总体分类精度为92.48%,Kappa系数为0.87。通过视觉图像解译技术将研究区划分为森林、森林灌丛、农业、草地、雪地、水体、园艺、荒地和农林业10个LULC类。以冠密度为基础,将森林覆盖密度图分为封闭林、开放林和森林灌丛3类。此外,还划分了草地和非森林两个类别。利用变化分析得到的结果,利用封闭式半结构化访谈时间表识别森林覆盖变化的驱动因素。通过统计分析,为这些回答分配分数,以对司机进行排名。2005年和2015年的地图对比显示,2005年到2015年,森林总面积减少了0.48%。同期,农业用地面积减少了0.87%。在过去十年中,园艺增长了0.8%。2005 - 2015年,林下面积减少了1.05%,而开阔林、森林灌丛和草地面积分别增加了0.57%、0.27%和0.08%。从面积上看,森林退化导致封闭林变为开阔林(851.48 ha)、封闭林变为森林灌丛(104.77ha)和开放林变为森林灌丛(33.26 ha),而森林砍伐导致封闭林、森林灌丛和开放林变为非森林的面积分别为111.42 ha、59.87 ha和26.61ha。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
On Recent Survey of Liverworts and Hornworts (Bryophyta) of Nagaland, India Physicochemical Characteristics of Sewage Water of Bilaspur City for Suitability for Irrigation Purposes Isolation and Characterization of Newly Laccase-Producing Endophytic Fungi in Submerged Cultures from Calotropis gigantean Plant Leaves Sacred Groves as the Source of Local Medicinal Plants and Sites of Biodiversity Conservation in North 24 Parganas, West Bengal Leucaena leucocephala and Prosopis juliflora: A comparative study of their seedlings with better drought adapted features in the time of rainfall pattern shifting
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1