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Fang QM, Peng WF, Wu P, Zhao JN, Wang HS, Hua H, Ni LY, Yang Z, Tian JL. [Research progress on production districts of Sichuan Dao-di herbs]. Zhongguo Zhong Yao Za Zhi 2020; 45:720-731. [PMID: 32237471 DOI: 10.19540/j.cnki.cjcmm.20200104.101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Dao-di herbs are the Chinese herbs which have high quality and best clinic effects. Sichuan is one of the proviences most rich in Chinese herb resources,which has 7 290 species of Chinese herbs, such as Curcumae Longae Rhizoma, Chuanxiong Rhizoma, Aconiti Lateralis Radix Praeparata, Ophiopogonis Radix, Coptidis Rhizoma, Gentianae Radix, Rhei Radix et Rhizoma, Curcumae Rhizoma, Gardeniae Fructus, ect. After textual research on materia medica of the 7 290 Chinese herbs, we find there are 86 Dao-di herbs in Sichuan, such as Chuanxiong Rhizoma from Dujiangyan, Aconiti Lateralis Radix Praeparata from Jiangyou, Fritillariae Radix, Notoptergii Rhizoma et Radix, Angelicae Dahuricae Radix from Suining, Ophiopogonis Radix from Santai, Salviae Miltiorrhizae Radix et Rhizoma from Zhongjiang, Magnoliae Officinalis Cortex from Pingwu. In China more attention is paid to the production of Dao-di herbs. In 2018, the State Administration of Traditional Chinese Medicine launched the "Construction Plan of national production base of genuine medicinal materials". Developing genuine medicinal materials in genuine production areas is one of the effective ways to ensure the quality of medicinal materials. Based on the study of geographical environment and ecological factors(altitude, climate, soil) in Sichuan province. The Dao-di herbs of Sichuan province are divided into 4 districts, including, Sichuan basin medicinal materials production area, mountain and the basin edge medicinal materials production area, Panxi medicinal materials production area, Plateau Mountain Canyon medicinal materials production area. The suitable regions and best suitable regions of the 86 Dao-di herbs in Sichuan are determined by remote sensing and GIS spatial analysis of the suitable environmental indicators of these Dao-di herbs. Our study is beneficial to the rational distribution of the production and to improvement of the quality of traditional Chinese medicine in Sichuan province.
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Affiliation(s)
- Qing-Mao Fang
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Wen-Fu Peng
- Sichuan Normal University Chengdu 637002, China
| | - Ping Wu
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Jun-Ning Zhao
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Hong-Su Wang
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Hua Hua
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Lin-Ying Ni
- Sichuan Engineering Technology Research Center of Genuine Regional Drug, Biological Assay Key Laboratory of State Administration of Traditional Chinese Medicine for Traditional Chinese Medicine Quality, Sichuan Academy of Chinese Medicine Sciences Chengdu 610041, China
| | - Zhao Yang
- Chengdu University of Traditional Chinese Medicine Chengdu 611130, China
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Dong YB, Luo Y, Zhu C, Peng WF, Xu XL, Fang QM. [Application of remote sensing and GIS in study of suitability distribution of Swertia mussotii, a Tibetan medicine in Sichuan province]. Zhongguo Zhong Yao Za Zhi 2018; 42:4387-4394. [PMID: 29318840 DOI: 10.19540/j.cnki.cjcmm.2017.0189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Indexed: 11/18/2022]
Abstract
Swertia mussotii is a kind of rare medicinal materials, the relevant researches are mainly concentrated on its medicinal efficacy and medicinal value till now, researches of adaptive distribution by applying remote sensing and GIS are relatively less. This study is to analyze the adaptive distribution of S.mussotii in Sichuan province by applying remote sensing and GIS technology, and provide scientific basis for the protection and development of wild resources, artificial cultivation and adjustment of Chinese medicine industrial distribution in Sichuan province. Based on literature review and ecological factors such as altitude, annual precipitation and annual average temperature, this study extracted ecological factors, overlay analysis in GIS, as well as combining GPS field validation data by means of remote sensing and GIS, discusses the adaptive distribution of SMF sin Sichuan province. ①The area of adaptive distribution of S. mussotii in Sichuan province is 1 543.749 km², mainly in Dege county, Ganzi county, Daofu county, Kangding county, Barkam, Jinchuan county, Xiaojin county, Danba county, Daocheng county, Xiangcheng county, Xinlong county, Aba county, Muli county and other counties and cities, accounts for about 7.25% in total area. ② Combining statistical information and field validation, this study found that S. mussotii adaptive distribution gained by remote sensing and GIS is in conformity with its actual distribution. The study shows that remote sensing and GIS technology are feasible to obtain the S. mussotii adaptive distribution, they can further be applied to studies on adaptive distributions of other rare Chinese medicinal herb.
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Affiliation(s)
- Yong-Bo Dong
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Yao Luo
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Cong Zhu
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Wen-Fu Peng
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Xin-Liang Xu
- Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, Beijing 100101, China
| | - Qing-Mao Fang
- Sichuan Institute of Traditional Chinese Materia Medica, Chengdu 610041, China
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Luo Y, Dong YB, Zhu C, Peng WF, Fang QM, Xu XL. [Research on suitable distribution of Paris yunnanensis based on remote sensing and GIS]. Zhongguo Zhong Yao Za Zhi 2018; 42:4378-4386. [PMID: 29318839 DOI: 10.19540/j.cnki.cjcmm.2017.0188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Indexed: 11/18/2022]
Abstract
Paris yunnanensis is a kind of rare medicinal herb, having a very high medicinal value. Studying its suitable ecological condition can provide a basis for its rational exploitation, artificial cultivation, and sustainable utilization. A practicable method in this paper has been proposed to research the suitable regional distribution of P. yunnanensis in Sichuan province. By the case study of P. yunnanensis in Sichuan province, and according to related literatures, the suitable ecological condition of P. yunnanensis such as altitude, mean annual temperature (MAT), annual precipitation, regional slope, slope ranges, vegetative cover, and soil types was analyzed following remote sensing (RS) and GIS.The appropriate distribution regionof P. yunnanensis and its area were extracted based on RS and GIS technology,combing with the information of the field validation data. The results showed that the concentrated distribution regions in counties of Sichuan province were, Liangshan prefecture, Aba prefecture, Sertar county of Ganzi prefecture, Panzhihua city, Ya'an city, Chengdu city, Meishan city, Leshan city, Yibin city, Neijiang city, Luzhou city, Bazhong city, Nanchong city, Guangyuan city and other cities and counties area.The suitable distribution area in Sichuan is about 7 338 km², accounting for 3.02% of the total study regional area. The analysis result has high consistency with the filed validation data, and the research method for P. yunnanensis distribution region based onspatial overlay analysis and the extracted the information of land usage and ecological factors following the RS and GIS is reliable.
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Affiliation(s)
- Yao Luo
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Yong-Bo Dong
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Cong Zhu
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Wen-Fu Peng
- The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China.,Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610068, China
| | - Qing-Mao Fang
- Sichuan Institute of Traditional Chinese Materia Medica, Chengdu 610041, China
| | - Xin-Liang Xu
- Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, Beijing 100101, China
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Pan HJ, Mao H, Peng WF, Fan SY, Fang QM, Liu XF. [Planting area estimation of Chinese Tibetan medicine Herpetospermum pedunculosum based on RS&GIS-by case study of Lengqi and Xinglong town in Luding county]. Zhongguo Zhong Yao Za Zhi 2014; 39:3018-3022. [PMID: 25509280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The herbs used as the material for traditional Chinese medicine are mostly planted at mountain areas where there is appropriate weather condition. Due to the complex terrain condition in mountain area, the planting at such places is always associated with a scattered pattern, which inevitably bring difficulty to the work of accurate measurement for the planting area. Advanced research about monitoring the planting area for medicine-herb under complex environmental condition is so critical and meaningful for developing the medicine-herb planting to a large scale and an industry. Therefore, this research, taking the planting of Herpetospermum pedunculosum in Luding county as an example, utilizes RS&GIS: using the image data from TM and ETM datum as the remote sensing information source, integrating GPS data from quadrat survey on the spots, and analyzing on a GIS platform, to extract the planting area of H. pedunculosum in Luding county. The results indicate that: (1) the method and technology used to estimate the planting area of H. pedunculosum are feasible and can be applied to monitoring the planting area of medicine-herb at mountain area under complex environmental conditions: (2) the planting area of H. pedunculosum in Luding county is estimated to be 857. 246 acres by the methods utilized in this research, which is closed to the value from local statistical data with an error range less than 5%; (3) in consideration of those inevitable errorrs generating from the procedures such as remote sensing data acquisition, data preprocessing, data interpretation, and so on, and the fact that the classification of remote sensing data, which must be implemented by those above procedures, was used directly to extract the herb type, the accuracy of area estimation for the herb is significantly influenced by the accuracy of classification for herb type, and the estimated area is inevitably associated with some error.
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He YD, Zhai YB, Li CT, Yang F, Chen L, Fan XP, Peng WF, Fu ZM. The fate of Cu, Zn, Pb and Cd during the pyrolysis of sewage sludge at different temperatures. Environ Technol 2010; 31:567-74. [PMID: 20480831 DOI: 10.1080/09593330903514466] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
In the present study, a sequential extraction procedure, recommended by the Community Bureau of Reference (BCR), was used for the fractionation of the heavy metals Cu, Zn, Pb and Cd in sewage sludge and its residues produced after pyrolysis at different temperatures from 250 to 700 degrees C. The results show that, in the sludge sample, the sum of the percentages of the reducible and oxidizable fractions for all metals except Cu was very high (65.4% for Cd, 85.7% for Pb, 78.7% for Zn), whereas the sum of the percentages of the oxidizable and residual fractions for Cu was very high (88.8%). The same result could be attained in the residues. Statistical analysis shows that at low temperatures the variation in pyrolysis temperature did not effectively contribute to the distribution of metal speciation in the residues. Meanwhile a modified Toxicity Characteristic Leaching Procedure (TCLP) was employed to determine the leachability of these four metals. The result indicates that the TCLP concentration of Cu, Zn, Pb and Cd dropped sharply after the temperature reached 350 degrees C, 550 degrees C, 500 degrees C and 400 degrees C respectively, which means pyrolysis can enhance the stability of these four metals when the temperature is high enough.
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Affiliation(s)
- Y D He
- College of Environmental Science & Engineering, Hunan University, Changsha, 410082, People's Republic of China
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