Flow–duration curve integration into digital filtering algorithms for simulating climate variability based on river baseflow

ABSTRACT

A baseflow separation methodology combining the outcomes of the flow–duration curve and the digital filtering algorithms to cope with the restrictions of traditional procedures has been assessed. Using this methodology as well as the monitored and simulated hydro-climatological data, the baseflow annual variations due to climate change and human-induced activities were determined. The outcomes show that the long-term baseflow index at the upstream sub-basin is nearly half of that at the downstream from October to April, whereas they are close to each other for the remaining months. Some of the groundwater reacts to precipitation and an evident rise in the groundwater contribution was detected for the hydrological years 1998–2001 and 2006–2008. The contrary was recorded for1987. The water released from the reservoir in the dry periods led to distinctions in the detected baseflow index between the pre-damming and post-damming periods of the river.     

A Statistical Study of Rapid Sunspot Structure Change Associated with Flares

We reported recently some rapid changes of sunspot structure in white-light(WL) associated with major flares.We extend the study to smaller events and present here results of a statistical study of this phenomenon.In total,we investigate 403 events from 1998 May 9 to 2004 July 17,including 40 X-class,174 M-class,and 189 C-class flares.By monitoring the structure of the flaring active regions using the WL observations from the Transition Region and Coronal Explorer(TRACE),we find that segments in the outer sunspot structure decayed rapidly right after many flares;and that,on the other hand,the central part of sunspots near the flare-associated magnetic neutral line became darkened.These rapid and permanent changes are evidenced in the time profiles of WL mean intensity and are not likely resulted from the flare emissions.Our study further shows that the outer sunspot structure decay as well as the central structure darkening are more likely to be detected in larger solar flares.For X-class flares,over 40% events show distinct sunspot structure change.For M-and C-class flares,this percentage drops to 17% and 10%,respectively.The results of this statistical study support our previously proposed reconnection picture,i.e.,the flare-related magnetic fields evolve from a highly inclined to a more vertical configuration.     

一种可能的地震成因模型

提出了一种地震成因模型。认为不仅水库地震、矿震等是被人类工程活动诱发的，其它地震也很可能有诱发因素起作用。这种作用不仅仅是触发了地震，地震的孕育很可能也与其有关。诱发因素包括人类工程活动、地外天体的特殊位置、地球自转角速度的变化、气象异常等。这些因素对地壳产生了附加垂直力，后者引起局部地层弯曲，进而导致应力集中、构造应力作用方式的改变乃至地震发生。     

Reconstruction of fire spread within wildland fire events in Northern Eurasia from the MODIS active fire product

Russian boreal forests have been reshaped by wildland fire for millennia. While fire is a natural component of boreal ecosystems, it impacts various aspects of the environment and affects human well-being. Often fires occur over large remote areas with limited access, which makes their ground-based observation difficult. A significant progress has been made in mapping burned area from satellite imagery, which provides consistent and fairly unbiased estimates of fire impact on areas of interest at multiple scales. Although the information provided by burned area products is highly important, the spatio-temporal dynamics of individual fire events and their impact are less known. In high northern latitudes of Northern Eurasia, MODIS (Moderate Resolution Imaging Spectroradiometer) makes up to four daily observations from each of the Terra and Aqua satellites providing consistent data on fire development with high temporal frequency. Here we introduce an approach to reconstruct the development of fire events based on active fire detections from MODIS. Fire Spread Reconstruction (FSR) provides a means for characterization of fire occurrence over large territories from remotely sensed data. Individual fire detections are clustered within a GIS environment based on a set of rules determining proximity between fire observations in space and time. FSR determines the number of fire events, their approximate size, duration, and fire spread rate and allows for the analysis of fire occurrence and spread as a function of vegetation, fire season, fire weather and other parameters. FSR clusters were compared to burned scars mapped from Landsat7/ETM+ imagery over Yakutia (Russia). While some smaller burn scars were found to be formed through a continuous burning of a single fire event, large burned areas in Siberia were created by a constellation of fire events incorporating over 100 individual fire clusters. Geographic regions were found to have a stronger influence on the rates of fire activity in the area compared to vegetation zones. In addition, fire spread rates do not directly correlate with the intensity of a given fire season. FSR is also used to identify the points of ignition for individual fire events in spatio-temporal domain for fire danger and fire threat modeling. This approach presents another step towards the more complete characterization of fire events from remotely sensed data.     

A dynamo model for axisymmetric and non-axisymmetric solar magnetic fields

More and more observations are showing a relatively weak, but persistent, non-axisymmetric magnetic field co-existing with the dominant axisymmetric field on the Sun. Its existence indicates that the non-axisymmetric magnetic field plays an important role in the origin of solar activity. A linear non-axisymmetric  α²– Ω  dynamo model is derived to explore the characteristics of the axisymmetric  ( m = 0)  and the first non-axisymmetric  ( m = 1)  modes and to provide a theoretical basis with which to explain the 'active longitude', 'flip-flop' and other non-axisymmetric phenomena. The model consists of an updated solar internal differential rotation, a turbulent diffusivity varying with depth, and an α-effect working at the tachocline in a rotating spherical system. The difference between the  α²–Ω  and the  α–Ω  models and the conditions that favour the non-axisymmetric modes under solar-like parameters are also presented.     

Prediction of Space Weather Using an Asymmetric Cone Model for Halo CMEs

Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth’s vicinity is crucial to forecast space weather. Unfortunately, coronagraphic observations are subjected to projection effects and do not provide true characteristics of CMEs. Recently, Michalek (Solar Phys. 237, 101, 2006) developed an asymmetric cone model to obtain the space speed, width, and source location of HCMEs. We applied this technique to obtain the parameters of all front-sided HCMEs observed by the SOHO/LASCO experiment during a period from the beginning of 2001 until the end of 2002 (solar cycle 23). These parameters were applied for space weather forecasting. Our study finds that the space speeds are strongly correlated with the travel times of HCMEs to Earth’s vicinity and with the magnitudes related to geomagnetic disturbances.     

南秦岭古生代盆地演化中幕式流体过程及成岩成矿效应

从南秦岭古生代盆地构造-沉积演化出发,通过分析古生界不同层位流体成岩成矿事实与盆地发展演化之间的关系,探讨了南秦岭早古生代—泥盆纪演化时期多幕流体过程和成岩成矿效应。幕式流体成岩成矿最早可追溯到早寒武世,区域上从东到西形成了重要的碳硅质岩中重晶石/毒重石矿床及金、铂族元素矿化;早、中志留世继续发展,形成了钠长石岩、重晶石岩、铁碳酸盐岩、硅质岩与铅-锌、金矿床;中泥盆世为最强烈的一次热水沉积活动,其规模大、热水沉积产物多样,形成了泥盆系硅质岩-钠长石岩-重晶石岩-铁白云石岩中的铅锌(铜)矿床、铁白云石硅质岩中铅锌(铜)矿床以及钠长石角砾-铁白云石板岩中金-铜矿床。     

广西红树林根际土壤放线菌的原位培养分离及其活性筛选

为了发掘广西红树林根际土壤的放线菌资源,本文利用原位培养装置,埋于根际土壤中俘获放线菌,30d后取回实验室,采用平板涂布法对4个地点的原位培养样品于15种培养基上进行分离纯化;对分离株基于16SrRNA基因序列进行系统发育分析;进一步进行抗菌活性和产酶活性检测。共分离得到113株放线菌。对其中33株放线菌进行测序,结果表明20株属于链霉菌属,11株属于拟诺卡氏菌属,1株属于伦兹氏菌属,1株与拟诺卡氏菌属相似性最高为90%,很可能属于放线菌一个新属。抗菌实验结果显示其中有7株、4株、18株、6株、10株、3株实验菌株分别对大肠埃希菌、铜绿假单胞菌、金黄色葡萄球菌、普通变形杆菌、乙型溶血性链球菌和肺炎克雷伯氏菌具有抑制作用;有55株、62株、24株、72株的实验菌株分别具有纤维素酶活性、淀粉酶活性、胶原蛋白酶活性、酯酶活性。原位培养可以丰富对广西红树林根际土壤的认识,分离到了新种甚至可能是新属的放线菌,分离得到的部分放线菌菌株具有较高生物活性,为后续工作提供了良好的实验材料。     

中国南海一株固氮类芽孢杆菌的筛选和分离鉴定

为了解中国南海海洋自生固氮菌的种类,作者对采集的南海海底淤泥样品进行了固氮微生物的分离、筛选及鉴定。经过土样沸水加热处理,无氮培养基平板初筛后,对分离获得的细菌固氮酶结构基因nif H进行扩增,并对其固氮酶活性进行检测,最终获得一株能够产芽孢的固氮细菌。对该菌株进行生理生化性状测定、16S r DNA序列分析(Gen Bank登录号KJ627376),并基于nif H、16S r DNA系统进化树分析,确定该菌为一株固氮类芽孢菌(Paenibacillus sp.)NH-1。本研究表明固氮类芽孢杆菌在海洋中确有分布,海洋自生固氮菌的多样性远远超出人们之前的认识。