Salinivibrio sp.YH4胞外丝氨酸蛋白酶EYHS耐盐性及生物信息学分析          下载免费PDF全文

武翠玲  宋英达  高慧芳  张廉芸  任晨霞 《盐湖研究》2020,28(1)

摘要：目的 探讨菌株Salinivibrio sp.YH4分泌的丝氨酸蛋白酶EYHS的耐盐性及结构特征。方法 明胶底物酶谱法分析EYHS的耐盐性。应用生物信息学手段对EYHS及6种耐盐的S8家族丝氨酸蛋白酶结构特征进行分析。结果 EYHS在4 mol/L的NaCl溶液中仍具有活性，属于耐盐蛋白酶。EYHS及6种S8家族丝氨酸蛋白酶分子表面的loop区等无规则卷曲所占比例较高，α-螺旋与β-片层则主要位于酶分子内部。EYHS分子表面酸性氨基酸含量较高，且具有弱疏水内核。多序列比对发现蛋白酶的催化三联体两侧存在高度保守的基序和保守的极性氨基酸及芳香族氨基酸，并存在多个保守的Gly与Ala。同源模建和表面电荷分布显示，α螺旋和β片层围成了蛋白酶的催化腔，EYHS活性中心包含由Asp32、His65与Ser215组成的催化三联体，且催化位点区域表面静电势为负。结论 上述结构特征可能有助于耐盐丝氨酸蛋白酶EYHS在高盐环境下维持其稳定性和适度柔性，并有助于其催化功能的发挥，为深入研究耐盐丝氨酸蛋白酶的高盐环境适应性提供了一定的理论依据。  相似文献   

A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing     

Peng Yue  Fan Gao  Boyi Shangguan  Zheren Yan 《International journal of geographical information science》2020,34(11):2243-2274

ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.  相似文献   

Characteristics of Permeability Changes in Bituminous Coal Under Conditions of Stress Variation Due to Repeated Mining Activities     

Huang  Mengqian  Zhang  Lei  Zhang  Cun  Chen  Shuai 《Natural Resources Research》2020,29(3):1687-1704

The factors affecting permeability change under repeated mining of coal seams are important study aspects that need to be explored. This study combined various stress variation characteristics of protective seam mining and simplified the stress path of repeated mining in protective seam mines. Based on the results from the bespoke gas flow and displacement testing apparatus, seepage tests for simulated repetitive mining were carried out. The results simulated the actual behavior very well. With any drastic increase in the mining influence, the axial deviation stress in the stress path increased, and the greater the difference in coal permeability during the unloading and stress recovery stage, the more substantial the increase in permeability. The change in coal permeability was significantly influenced by the severity of simulated repeated mining cycles. When the mining stress exceeded a critical value, the permeability of the coal sample increased with the increase in the number of loading and unloading cycles, but the reverse was true when the mining stress was lower than the critical value. The effective sensitivity of seepage to the applied stress decreased with an increase in the number of stress cycles. With a decrease in the deviation stress, that is, with lower severity of mining influence, the effective sensitivity of coal seepage to stress gradually decreased.

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Gas Emission and Soil Chemical Properties Associated with Underground Coal Fires,Wuda Coalfield,Inner Mongolia,China     

Wang  Haiyan  Zhang  Junpeng  Zhang  Lei  Wang  Jiali  Xu  Zuohui 《Natural Resources Research》2020,29(6):3973-3985

Natural Resources Research - The coal fire area in the Wuda coalfield is divided into four parts based on the degree of burning and on surface characteristics: sub-area B is characterized by...  相似文献   

Coupling numerical simulation with remotely sensed information for the study of frozen soil dynamics     

HuiRan Gao  WanChang Zhang 《寒旱区科学》2020,12(6):404-417

The acquisition of spatial-temporal information of frozen soil is fundamental for the study of frozen soil dynamics and its feedback to climate change in cold regions. With advancement of remote sensing and better understanding of frozen soil dynamics, discrimination of freeze and thaw status of surface soil based on passive microwave remote sensing and numerical simulation of frozen soil processes under water and heat transfer principles provides valuable means for regional and global frozen soil dynamic monitoring and systematic spatial-temporal responses to global change. However, as an important data source of frozen soil processes, remotely sensed information has not yet been fully utilized in the numerical simulation of frozen soil processes. Although great progress has been made in remote sensing and frozen soil physics, yet few frozen soil research has been done on the application of remotely sensed information in association with the numerical model for frozen soil process studies. In the present study, a distributed numerical model for frozen soil dynamic studies based on coupled water-heat transferring theory in association with remotely sensed frozen soil datasets was developed. In order to reduce the uncertainty of the simulation, the remotely sensed frozen soil information was used to monitor and modify relevant parameters in the process of model simulation. The remotely sensed information and numerically simulated spatial-temporal frozen soil processes were validated by in-situ field observations in cold regions near the town of Naqu on the East-Central Tibetan Plateau. The results suggest that the overall accuracy of the algorithm for discriminating freeze and thaw status of surface soil based on passive microwave remote sensing was more than 95%. These results provided an accurate initial freeze and thaw status of surface soil for coupling and calibrating the numerical model of this study. The numerically simulated frozen soil processes demonstrated good performance of the distributed numerical model based on the coupled water-heat transferring theory. The relatively larger uncertainties of the numerical model were found in alternating periods between freezing and thawing of surface soil. The average accuracy increased by about 5% after integrating remotely sensed information on the surface soil. The simulation accuracy was significantly improved, especially in transition periods between freezing and thawing of the surface soil.  相似文献   

浙江省人口健康脆弱性评估及影响因素分析   总被引：1，自引：0，他引：1  

童磊  郑珂  苏飞  汤青  曹轶蓉  郑艳艳 《地理科学》2020,40(8):1293-1299

运用集对分析法从敏感性和应对性2个方面对浙江省11个地市的人口健康脆弱性进行评估。研究表明：① 从敏感性和应对性2个维度对城市人口健康脆弱性进行评估的方法具有一定可靠性，但在突发大型流行性病毒感染疫情的情境下仍需进一步完善；② 各地市脆弱性指数排名与敏感性指数保持较高一致性，而与应对性指数则表现出异质性和随机性，认为降低敏感性是降低城市人口健康脆弱性指数的关键；③ 城市人口健康脆弱性评价还应该增加城市对大型突发公共卫生事件的敏感性和应对能力的考量，相应的评估方法和模型仍有待进一步研究。  相似文献   

英国高中地理教材编写特色简析--以《Geography B Evolving Planet》为例     

徐波  张如如  高翔翔 《地理教学》2020,(6):61-64

英国是重视地理课程传统的发达国家,拥有丰富的地理教材编写经验。本文以《Evolving Planet》为范本,在阅读与分析的基础上,归纳得出该教材的四大编写特色:设置"以学为中心"的教材栏目,精选多类型优质的地理图像,重视对学生学习方法的引导和注重对学生地理技能的培养。简析该教材的编写特色,以期为未来我国中学地理教材的编写提供启示与借鉴。  相似文献   

基于MODIS的青海草地产草量变化遥感分析          下载免费PDF全文

黄鑫  刘建红  申克建  刘咏梅  王雷 《干旱区地理》2020,43(3):715-725

青海省属于全国四大牧区之一，及时监测草地植被长势、准确估算牧草产量对青海牧区可持续发展与生态保护具有重要意义。草地产草量遥感估算主要基于植被指数与地面实测数据的统计关系，但是估算涉及植被指数、统计模型和建模指标等因素，不同组合建立的估算模型的精度不同。本文基于青海省MODIS数据与地面实测产草量数据，选择了6种植被指数（NDVI、EVI、RVI、DVI、RDVI、MSAVI）、5种统计模型（简单线性模型、二次多项式模型、幂函数模型、指数函数模型、对数函数模型）以及3种建模指标（植被指数年度最大值VI_max、植被指数生长季累积值VI_season-cum、植被指数年度累积值VI_annual-cum），研究不同组合下估算模型的精度差异，并从中选出最优产草量估算模型，用于估算青海省2015年和2016年的产草量。结果表明：（1）6种植被指数中，基于NDVI的产草量估算精度最高；非线性模型的估算精度高于线性模型，尤其是指数模型，适用于大多数草地类型产草量的估算；基于NDVI年度最大值的估算模型对大多数草地类型都具有最高的决定系数（R²）。（2）从干重来看，高产草量区（>1 200 kg·hm^-2）主要位于青海东部的高寒草原，中等产草量区（600~1 200 kg·hm^-2）位于青海南部和东部的高寒草原和禾草草原，低产草量区（<600 kg·hm^-2）位于青海西部和北部的高寒草甸、高寒草原、高寒荒漠和盐生草甸。（3）与2015年相比，2016年青海省干草总产量减少31.60×10⁴ t，减幅为1.36%。其中，禾草草原和高寒草甸的减产幅度最大，而荒漠草原和盐生草甸的产量则有所增加。本文可为草地产草量遥感估算的研究和实践提供参考。  相似文献   

环塔里木盆地绿洲城市发展与水环境质量协调度     

孜比布拉·司马义  杨胜天  杨晓东  王蕾  肖合来提·巴义 《中国沙漠》2020,40(1):88-96

解决好新疆环塔里木盆地绿洲城市发展与水环境质量之间的关系，对"一带一路"倡议顺利实施及新疆社会稳定具有十分重要的作用。基于2004-2017年环塔里木盆地绿洲城市发展与水环境变化状况，构建城市发展与水环境质量的综合评价模型及二者的协调度模型，以探讨环塔里木盆地绿洲城市发展、水环境质量变化及二者的协调关系。结果表明：2004-2017年，（1）环塔里木盆地绿洲城市发展综合指数呈现出逐年稳定上升的趋势，经济发展和城镇空间规模扩大是环塔里木盆地绿洲城市发展的主要形式；（2）环塔里木盆地绿洲城市的水环境质量综合指数呈现出逐年降低的趋势，水环境质量形势严峻；（3）环塔里木盆地绿洲城市发展-水环境质量系统的协调度呈现倒U型的稳定发展趋势，但总体上两者的协调度较低，城市发展和水环境质量之间的矛盾日益突出。  相似文献   

纳滤分离铝锂过程研究          下载免费PDF全文

高琳  王怀有  赵有璟  王敏 《盐湖研究》2020,28(2)

本文探讨了纳滤分离Al~(3+)和Li~+的可行性,研究了含盐量和铝锂比对分离效率的影响,提出了从锂云母浸出液中分离回收锂的新方法。实验结果表明,纳滤膜对Al~(3+)和Li~+的截留率随含盐量的升高而降低,其中Li~+始终呈现负浓度梯度扩散的趋势,而Al~(3+)的截留率始终稳定在99%以上。当含盐量为45 g/L时,铝锂分离因子最高可达248.33,膜面相应Zeta电位的绝对值达到最大。随着溶液中铝锂比的变化,Al~(3+)和Li~+的截留率分别在不同铝锂比的条件下出现拐点,溶液的pH呈现先下降后上升最后下降的复杂趋势。本实验研究发现,DK膜能够在酸性环境下实现高效的铝锂分离和锂的浓缩,从而为锂云母浸出液中锂的提取提供新的思路。  相似文献