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Population amount risk assessment of extreme precipitation-induced landslides based on integrated machine learning model and scenario simulation

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Geoscience Frontiers 2023年第3期14卷 163-179页

作者： Guangzhi Rong Kaiwei Li zhijun tong Xingpeng Liu Jiquan Zhang Yichen Zhang Tiantao Li School of Environment Northeast Normal UniversityChangchun 130024China Key Laboratory for Vegetation Ecology Ministry of EducationChangchun 130117China State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration Northeast Normal UniversityChangchun 130117China School of Emergency Management Changchun Institute of TechnologyChangchun 130012China Chengdu University of Technology Chengdu 610059China State Key Laboratory of Geohazard Prevention and Geo Environment Protection Chengdu University of TechnologyChengdu 610059China

In this study,the future landslide population amount risk(LPAR)is assessed based on integrated machine learning models(MLMs)and scenario simulation techniques in Shuicheng County,***,multiple MLMs were selected and hyperparameters were optimized,and the generated 11 models were crossintegrated to select the best model to calculate landslide susceptibility;by calculating precipitation for different extreme precipitation recurrence periods and combining the susceptibility results to assess the landslide *** the town as the basic unit,the exposure and vulnerability of the future landslide population under different Shared Socioeconomic Pathways(SSPs)scenarios in each town were assessed,and then combined with the hazard to estimate the LPAR in *** results showed that the integrated model with the optimized random forest model as the combination strategy had the best comprehensive performance in susceptibility *** distribution of hazard classes is similar to susceptibility,and with an increase in precipitation,the low-hazard area and high-hazard decrease and shift to medium-hazard and very high-hazard *** high-risk areas for future landslide populations in Shuicheng County are mainly concentrated in the three southwestern towns with high vulnerability,whereas the northern towns of Baohua and Qinglin are at the lowest risk *** LPAR increased with the intensity of extreme *** LPAR differs significantly among the SSPs scenarios,with the lowest in the“fossil-fueled development(SSP5)”scenario and the highest in the“regional rivalry(SSP3)”*** summary,the landslide susceptibility model based on integrated machine learning proposed in this study has a high predictive *** results of future LPAR assessment can provide theoretical guidance for relevant departments to cope with future socioeconomic development challenges and make corresponding disaster prevention and mitigation plans to prevent landsli

关键词： Landslide population amount risk assessment Integrated Machine Learning Extreme precipitation scenarios Future socioeconomic development scenarios

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Quantifying Multi-hazards and Impacts Over Different Growth Periods of Maize:A Study Based on Index Construction

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International Journal of Disaster Risk Science 2023年第5期14卷 822-839页

作者： Dan Chen Ying Guo Rui Wang Yunmeng Zhao Kaiwei Li Jiquan Zhang Xingpeng Liu zhijun tong Chunli Zhao School of Environment Northeast Normal UniversityChangchun130024China Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention Northeast Normal UniversityChangchun130024China Key Laboratory for Vegetation Ecology Ministry of EducationChangchun130024China State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration Northeast Normal UniversityChangchun130024China College of Forestry and Grassland Jilin Agricultural UniversityChangchun130024China

Owing to the complexity and variability of global climate,the study of extreme events to ensure food security is particularly *** standardized precipitation requirement index(SPRI)and chilling injury index(I_(Ci))were introduced using data from agrometeorological stations on the Songliao Plain between 1981 and 2020 to identify the spatial and temporal variability of drought,waterlogging,and low-temperature cold damage during various maize growth *** drought and low-temperature cold damage events(CDLEs)and compound waterlogging and low-temperature cold damage events(CWLEs)were then *** measure the intensity of compound events,the compound drought and low-temperature cold damage magnitude index(CDLMI),and compound waterlogging and low-temperature cold damage magnitude index(CWLMI)were constructed by fitting marginal ***,the effects of extreme events of various intensities on maize output were *** findings demonstrate that:(1)There were significant differences in the temporal trends of the SPRI and ICiduring different maize growth *** predominated in the middle growth period(MP),waterlogging predominated in the early growth period(EP)and late growth period(LP),and both drought and waterlogging tended to increase in intensity and *** frequency of low-temperature cold damage showed a decreasing trend in all periods.(2)The CDLMI and CWLMI can effectively determine the intensity of CDLEs and CWLEs in the study area;these CDLEs and CWLEs had higher intensity and frequency in the late growth period.(3)Compared to single events,maize relative meteorological yield had a more significant negative correlation with the CDLMI and CWLMI.

关键词： Compound events magnitude index Drought Growth periods Low-temperature cold damage Spatiotemporal distribution Waterlogging

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Identifi cation and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Diff erent Climate Zones of the Songliao Plain

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International Journal of Disaster Risk Science 2024年第5期15卷 831-851页

作者： Ziyuan Zhou Ying Guo Dan Chen Kaiwei Li Rui Wang Xiao Wei Jiquan Zhang Chunli Zhao zhijun tong Xingpeng Liu School of Environment Northeast Normal University College of Agriculture Anhui Science and Technology University Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention Northeast Normal University Key Laboratory for Vegetation Ecology Ministry of Education State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration Northeast Normal University College of Forestry and Grassland Jilin Agricultural University

Due to global climate anomalies, the intensity and spatial extent of weather and climate extremes have increased notably. Therefore, extreme events must be studied to ensure agricultural production. In this study, the growing season accumulated temperature above 10 °C(GSAT 10) was used as the climate regionalization index for maize in the Songliao Plain region, and the study area was divided into three climate zones. The standardized precipitation requirement index(SPRI) and standardized temperature index(STI) were introduced to analyze the spatial and temporal patterns of drought, waterlogging, and heat during the maize growing season from May to September using meteorological station data from the Songliao Plain between 1991 and 2020. The compound event magnitude indices were constructed by modeling the marginal distribution to detect the patterns of compound drought and heat events(CDHEs) and compound waterlogging and heat events(CWHEs), and to assess their potential impacts on maize production. The results show that:(1) The major meteorological disasters in the Songliao Plain region were drought and heat. The areas with prolonged high temperatures were similar to the areas with higher severity of temperature extremes, and were mainly concentrated in the central and southern parts of the study area(Zone 3).(2) The CWHEs mainly occurred in the northern part of the study area(Zones 1 and 2), and the CDHEs predominantly occurred in the central and southern parts of the study area.(3) For most sites on the Songliao Plain, the duration, severity, and intensity of compound extreme events were positively correlated with relative meteorological yield( Y w). Maize yield reduction was signifi cantly aff ected by the CDHEs.

关键词： China Compound extreme weather events Droughts Extreme heat events Songliao Plain Spatiotemporal distribution Waterlogging

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Fine mapping of cisc(t),a gene for cold-induced seedling chlorosis,and identification of its candidate in rice

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Chinese Science Bulletin 2010年第27期55卷 3149-3153页

作者： LAN Tao WANG Bin LING QiuPing XU ChunHua tong zhijun LIANG KangJing DUAN YuanLin JIN Jing WU WeiRen Key Laboratory of Ministry of Education for Genetics Breeding and Multiple Utilization of Crops Fuzhou 350002 China Fujian Provincial Key Laboratory of Rice Molecular Marker-Assisted Breeding Fuzhou 350002 China

The seedlings of indica rice cultivar Dular are susceptible to chlorosis under low temperature *** previous studies indicated that low temperature-induced seedling chlorosis is controlled by a recessive gene,located between SSR markers RM257 and RM242,on the long arm of chromosome *** temporarily named the gene cisc(t).Using a large F2 population derived from a cross between Dular and the japonica cultivar Lemont,which displays a normal green color at low temperatures,cisc(t)was fine mapped to within a 12-kb *** is only one annotated gene in this interval,which encodes a pentatricopeptide repeat(PPR)*** analysis indicated that 8 bases were deleted at the 60th base in the Dular allele,resulting in a frame-shift mutation and loss of function of the *** is consistent with the chlorosis mutant phenotype of *** addition,previous studies have shown that many chlorosis mutants of seedlings are related to PPR ***,we presume that the PPR gene is the candidate for cisc(t).

关键词：黄化现象隐性基因 CISC 精细定位幼苗鉴定水稻低温条件

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Development of DArT markers for a linkage map of flue-cured tobacco

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Chinese Science Bulletin 2013年第6期58卷 641-648页

作者： LU XiuPing GUI YiJie XIAO BingGuang LI YongPing tong zhijun LIU Yun BAI XueFei WU WeiRen XIA Ling HUTTNER Eric KILIAN Adrzej FAN LongJiang Department of Agronomy Zhejiang University Yunnan Academy of Tobacco Agricultural Sciences and China Tobacco Breeding Research Center at Yunnan DArT P/L PO Box 7141YarralumlaCanberraACT 2600Australia

Tobacco(Nicotiana tabacum) is one of the most economically important nonfood crops,and flue-cured tobacco accounts for approximately 80% of world tobacco *** extremely narrow genetic diversity in the tobacco pool has led to a low efficiency of PCR-based molecular markers(such as AFLP and SSR).Diversity Arrays Technology(DArT) is a high-throughput hybridisation-based marker system that has been developed in many plants including wheat,which,like tobacco,has a complex *** this study,we developed a tobacco DArT chip that included 7680 representative sequence tags based on typical tobacco *** 1076 DArT markers of flue-cured tobacco were identified and most(82.1%) of their polymorphism information contents(PICs) were greater than *** integrated linkage map that included 851 markers(238 DArT and 613 SSR),which is the highest density map of flue-cured tobacco to date,was *** chip-based DArT system provides an alternative in high-throughput marker genotyping for tobacco.

关键词： DART 分子标记连锁图谱烤烟烟草生产遗传多样性多态信息含量标记系统

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A simple and efficient CRISPR/Cas9 system permits ultra-multiplex genome editing in plants

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The Crop Journal 2024年第2期12卷 569-582页

作者： Suting Wu Htin Kyaw zhijun tong Yirong Yang Zhiwei Wang Liying Zhang Lihua Deng Zhiguo Zhang Bingguang Xiao William Paul Quick Tiegang Lu Guoying Xiao Guannan Qin Xue'an Cui Biotechnology Research Institute Chinese Academy of Agricultural SciencesBeijing 100081China Key Laboratory of Genetics Breeding and Multiple Utilization of CropsMinistry of EducationCollege of AgricultureFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Key Laboratory of Biological Breeding for Fujian and Taiwan Crops Ministry of Agriculture and Rural AffairsCollege of AgricultureFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Key Laboratory of Agro-ecological Processes in Subtropical Region Institute of Subtropical AgricultureChinese Academy of SciencesChangsha 410125HunanChina School of Biosciences The University of SheffieldFirth CourtWestern BankSheffield S102TNUK Key Laboratory of Tobacco Biotechnological Breeding National Tobacco Genetic Engineering Research CenterYunnan Academy of Tobacco Agricultural SciencesKunming 650021YunnanChina

The development and maturation of the CRISPR/Cas genome editing system provides a valuable tool for plant functional genomics and genetic *** available genome-editing tools have a limited number of targets,restricting their application in genetic *** this study,we developed a novel CRISPR/Cas9 plant ultra-multiplex genome editing system consisting of two template vectors,eight donor vectors,four destination vectors,and one primer-design software *** combining the advantages of Golden Gate cloning to assemble multiple repetitive fragments and Gateway recombination to assemble large fragments and by changing the structure of the amplicons used to assemble sg RNA expression cassettes,the plant ultra-multiplex genome editing system can assemble a single binary vector targeting more than 40 genomic loci.A rice knockout vector containing 49 sg RNA expression cassettes was assembled and a high co-editing efficiency was *** plant ultra-multiplex genome editing system advances synthetic biology and plant genetic engineering.

关键词： CRISPR/Cas9 Multiplex genome editing Assembly system Plant

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3种烟草基因组SSR位点信息分析和标记开发

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西北植物学报 2014年第8期34卷 1549-1558页

作者：童治军肖炳光云南省烟草农业科学研究院烟草行业烟草生物技术育种重点实验室国家烟草基因工程研究中心昆明650021

利用生物信息学方法对绒毛状烟草、林烟草和本塞姆氏烟草3份烟草野生种基因组数据中的SSR位点信息进行了分析。结果表明,在全长分别为2.14Gb、2.44Gb和2.59Gb的绒毛状烟草、林烟草和本塞姆氏烟草基因组中分别获得153 357个、196 493个和... 详细信息

利用生物信息学方法对绒毛状烟草、林烟草和本塞姆氏烟草3份烟草野生种基因组数据中的SSR位点信息进行了分析。结果表明,在全长分别为2.14Gb、2.44Gb和2.59Gb的绒毛状烟草、林烟草和本塞姆氏烟草基因组中分别获得153 357个、196 493个和278 784个SSR位点,平均相隔13.94kb、12.42kb和9.31kb出现一个SSR。在SSR位点分布区域上,绝大部分的SSR位点分布在内含子和UTR（尤其是5′-UTR）区域;在SSR基序类型上,主要集中在二、三碱基基序且二者占总SSR位点数目的80%以上,并以二碱基基序类型丰度最高;在SSR基序结构上,基因组中出现频率及数量最高的是含有A（T）n的基序结构;在SSR基序的重复次数上,除单碱基基序类型外,重复次数多在3~10次之间。利用分别属于5个不同烟草组的8份烟草材料验证所合成的300对引物,所有合成的引物均能扩增获得目标片段,其中有80对引物存在扩增多态性。表明来源于绒毛状烟草、林烟草和本塞姆氏烟草基因组的SSR标记在亲缘关系相对较近的烟草种间具有高度保守性和通用性,基于此3份烟草野生种基因组数据开发SSR引物用于后续的相关遗传研究具有可行性。

关键词：绒毛状烟草林烟草本塞姆氏烟草基因组 SSR

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新见秦地名封泥考释(十则)

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江汉考古 2019年第4期 127-132页

作者：王伟童志军陕西师范大学文学院

本文对秦封泥中新出现的安陵、安陆、濒阳、孱陵、成固、池阳、杜阳、杜南、高陵和郃阳等地名进行考释,补充和订正了《汉书·地理志》等文献记载的错误和疏漏,明确了部分秦县设置的时间,扩充了秦置县的数量,从而丰富了我们对秦置县问题... 详细信息

本文对秦封泥中新出现的安陵、安陆、濒阳、孱陵、成固、池阳、杜阳、杜南、高陵和郃阳等地名进行考释,补充和订正了《汉书·地理志》等文献记载的错误和疏漏,明确了部分秦县设置的时间,扩充了秦置县的数量,从而丰富了我们对秦置县问题的认识。

关键词：秦封泥地名政区秦置县

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解释学习的效用问题

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计算机科学 1992年第2期19卷 64-68页

作者：黄通何志均浙江大学人工智能研究所杭州310027

近年来,在机器学习领域,基于解释的学习引起了广泛的兴趣。解释学习是一种演绎学习方法,根据领域理论对训练实例进行解释,经过推广后获得新的知识。从可操作性的角度看,解释学习并没有学到真正新的知识,只是一种知识转换,它把原先不可... 详细信息

近年来,在机器学习领域,基于解释的学习引起了广泛的兴趣。解释学习是一种演绎学习方法,根据领域理论对训练实例进行解释,经过推广后获得新的知识。从可操作性的角度看,解释学习并没有学到真正新的知识,只是一种知识转换,它把原先不可操作的概念描述转换为可操作的目标概念描述,而使系统的性能得以提高。但原来的可操作性定义并没有考虑到解释学习的效用(utility)问题,人们发现这样的解释学习并不总能提高系统的性能,而是在大多数情况下会使系统的行为比未经学习时更差。

关键词：解释学习机器学习人工智能

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烟草PVY隐性抗病基因的分子标记及其适用性

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中国烟草学报 2015年第1期21卷 76-81页

作者：刘勇宋中邦童治军李永平云南省烟草农业科学研究院、烟草行业烟草生物技术育种重点实验室、国家烟草基因工程研究中心昆明650021

马铃薯Y病毒(Potato virus Y,PVY)是危害烟草的重要病害,种植抗病品种是经济有效的防治措施。分子标记辅助选择可提高抗病育种效率。来源于X-射线诱变的Virgin A Mutante(VAM)的隐性抗PVY基因位点(va)被广泛应用于烟草抗病育种。为了提... 详细信息

马铃薯Y病毒(Potato virus Y,PVY)是危害烟草的重要病害,种植抗病品种是经济有效的防治措施。分子标记辅助选择可提高抗病育种效率。来源于X-射线诱变的Virgin A Mutante(VAM)的隐性抗PVY基因位点(va)被广泛应用于烟草抗病育种。为了提高va位点的育种利用效率,根据烟草隐性抗PVY基因(感病基因)e IF4E-1基因序列,设计特异扩增的引物CF2GR11,开发e IF4E-1基因的分子标记,并检测了该标记与抗性的遗传距离和在常见烟草资源中的适用性。CF2GR11在云烟87、红花大金元和K326等感PVY品种可扩增出500 bp产物,在NC102、NC55和K326PVY等抗病品种无扩增条带。以抗、感PVY亲本构建的101个F2单株为定位群体,遗传连锁分析表明,CF2GR11标记与烟草PVY感病基因的遗传距离为0.99 c M。对46份PVY抗性明确的栽培烟草资源的检测表明,供试资源的标记检测结果与抗性的吻合度为100%,表明CF2GR11标记适用性高。该目的基因标记可用于抗PVY育种的辅助选择和抗PVY资源的鉴定。

关键词：烟草马铃薯Y病毒抗性分子标记

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