低温阴雨对丹东地区粮食作物产量的影响

对丹东地区1978—2015年春季气象资料进行分析,分别从低温、寡照、多雨3个方面研究其对粮食作物造成危害程度的大小,将其划分3个不同的灾害等级。利用拉格朗日插值法计算出作物的期望产量,运用分离法将低温阴雨对粮食作物的损失分离出来,探讨低温阴雨年景与丹东地区粮食作物产量的相关关系。结果表明:(1)丹东地区稻谷、大豆产量都表现出明显的阶段变化。(2)低温型低温阴雨天气对作物的影响为:玉米大豆稻谷;寡照型低温阴雨天气对玉米、稻谷、大豆的影响相对较大,影响力为:大豆玉米稻谷;多雨型低温阴雨天气对玉米和大豆的影响较稻谷大得多。     

不同施氮量对沙地春小麦株穗性状及产量的影响

在内蒙古奈曼旗对沙地春小麦进行了氮肥施量试验。结果表明,不同施氮量(尿素15.0~51.5g·m^-2)对沙地春小麦穗粒数、千粒重、有效小穗数及其百分率、籽粒产量、生物产量的影响具有显著差异,但对成穗数、株高的影响差异不明显。产量水平以施氮量为37.5g·m^-2时最高。     

长城湾夏季初级生产力及其光量子产值

本文报道了１９９２～１９９３年南极长城湾及其邻近水域夏季初级生产力的水平、同化系数及其分布特征,并对影响水域生产力的主要因素进行了分析。同时对该海区的光量子产值和光利用效率进行了测定,结果表明：长城湾夏季光量子产值的变化范围为１．４７９×１０－２～９．０２８×１０－２ｍｏｌ碳／ｍｏｌ光量子,平均值为４．５５８×１０－２ｍｏｌ碳／ｍｏｌ光量子;浮游植物对光的利用效率为０．７９６×１０－２～１．８２４×１０－２。该海区夏季的光量子产值和光利用效率远高于其他海区。     

煤层气生成与煤层气富集Ⅱ.有效生气阶段生气量的估算

煤层的生气条件主要通过有效阶段生气量来影响煤层气的富集。有效阶段生气量取决于有效生气阶段的起止煤级和煤中原始有机质的丰度及其组成。本文给出了估算有效阶段生气量的基本公式,重点讨论了煤中原始有机质的丰度和组成的恢复方法,并以沁水盆地南部主要矿区3号和15号煤层为例,对有效阶段生气量进行了估算。      

苍梧县橄榄生产气象条件分析①

通过对橄榄产量     

电流变液中剪切模量的计算

利用自由能极限计算电流变液的剪切模量, 发现在一定物质参数范围内, 周期性ＢＣＴ 结构不再是电流变液的基态结构。讨论ＢＣＴ 结构为基态条件下, 固体材料的介电常数、固态和液态材料的体积比、小球间距对电流变液的影响。     

A PRELIMINARY EXPERIMENTAL STUDY ON NON-LINEAR RELATIONSHIP BETWEEN SEDIMENT YIELD AND DRAINAGE NETWORK DEVELOPMENT

1INTRODUCTIONThedrainagenetWorkisoneofimportantcomponentsinafluvialsyStem.Atypicalfluvialsystemiscomposedofthreezones,asSchumm(1977)pointedout,therunoffandsedimentyield,transportationandsettlingzones.Asearlyasinthemiddleofthiscent'Ury,Horton(1945)madeasignificantquantitativeexplanationtohydro-geomorphologyinadrainagenetworksystem,andderivednetworkstatisticslaws.Inthe1970'sSmart(1973)hadtopologicallystudiednetWorkstrUcture.Fromthe1980'sandonst'Udiesoffractalandfractionaldimensioninadra…     

海啸作用下滨水挡土墙抗震转动稳定性上限分析

地震诱发的海啸对沿海围护结构的破坏具有强度大的特点。滨水挡土墙作为重要的围护结构,海啸与地震的联合作用极易造成其发生绕墙踵的被动破坏。采用条分法,将土楔体分割成无数平行于破裂面的刚性土条,并建立绕墙踵转动的挡墙与刚性土条之间的速度容许场。基于极限上限理论,依据外力做功功率等于其内能耗散功率,推导了地震加速度系数的表达式。与经典极限平衡理论相比,该方法考虑了挡墙的位移模式,且无需假设地震土压力的作用位置。分析了浪高与海平面高度之比,内摩擦角φ及墙土摩擦角δ对滨水挡土墙稳定性的影响。     

Identification of calanco,a badland landform in the northern Apennines,Italy

Calanco (plural, calanchi) is a term widely used in the northern Apennines, Italy, to define a type of badland formed in clayey bedrock. However, no precise geomorphological definition of calanco has been established and a variety of map symbols are used to indicate the presence of calanco landforms. With the aim of developing an improved approach to identifying calanchi, a group of experienced surveyors identified 24 catchments with calanco characteristics among 67 catchments located between Bologna and Faenza in the northern Apennines. The morphology of each catchment was classified using traditional quantitative geomorphic approaches including fieldwork, map interpretation, hypsometric curve construction and computation of the annual sediment yield. Consideration of the parameters produced by these approaches indicated that none was capable of representing the presence of calanchi unequivocally and the basins were grouped into five classes on the basis of number and type of calanco criteria that they met. A characteristic of calanchi that is evident on topographic maps is crenulation of the contour lines and in this study a new topographic parameter was developed to represent the degree of contour crenulation. This parameter, LO/LF, is defined as the ratio of the actual length of a contour line (LO) to the length of the same line smoothed by an algorithm based on a moving average (LF). Calculated values of LO/LF ranged from 1·05 to 1·38. To test whether high values of the contour crenulation parameter were associated with calanchi, LO/LF values were added to other criteria for the five classes of catchment. Class 1 catchments, consisting of 14 of the 24 calanchi catchments identified in the field, displayed all of the criteria defining calanchi, and were characterized by the highest values of LO/LF (mean value 1·27 ± 0·15). It is proposed, therefore, that the contour crenulation ratio (LO/LF) may be useful in identifying the calanco landform. Copyright © 2000 John Wiley & Sons, Ltd.     

Effects of different spatial distributions of physical soil crusts on runoff and erosion on the Loess Plateau in China

The response of runoff and erosion to soil crusts has been extensively investigated in recent decades. However, there have been few attempts to look at the effects of spatial configuration of different soil crusts on erosion processes. Here we investigated the effects of different spatial distributions of physical soil crusts on runoff and erosion in the semi‐arid Loess Plateau region. Soil boxes (1.5 m long × 0.2 m wide) were set to a slope of 17.6% (10°) and simulated rainfall of 120 mm h^?1 (60 minutes). The runoff generation and erosion rates were determined for three crust area ratios (depositional crust for 20%, 33%, and 50% of the total slope) and five spatial distribution patterns (depositional crust on the lower, lower‐middle, middle, mid‐upper, and upper slope) of soil crusts. The reduction in sediment loss (‘sediment reduction’) was calculated to evaluate the effects of different spatial distributions of soil crusts on erosion. Sediment yield was influenced by the area ratio and spatial position of different soil crusts. The runoff rate reached a steady state after an initial trend of unsteadily increasing with increasing rainfall duration. Sediment yield was controlled by detachment limitation and then transport limitation under rainfall. The shifting time of erosion from a transport to detachment‐limiting regime decreased with increasing area of depositional crust. No significant differences were observed in the total runoff among treatments, while the total sediment yield varied under different spatial distributions. At the same area ratio, total sediment yield was the largest when the depositional crust was on the upper slope, and it was smallest when the crust was deposited on the lower slope. The sediment reduction of structural crust (42.5–66.5%) was greater than that of depositional crust (16.7–34.3%). These results provide a mechanistic understanding of how different spatial distributions of soil crusts affect runoff and sediment production. Copyright © 2017 John Wiley & Sons, Ltd.