Predicting the entire soil-water characteristic curve using measurements within low suction range

The soil-water characteristic curve(SWCC) is widely used in the design and evaluation in the practice of geotechnical and geoenvironmental engineering such as the slope stability under the influence of environmental factors. The SWCC has distinct features in the capillary and adsorption zones due to different physical mechanisms. Measurements of the SWCC are typically limited within the capillary zone(i.e., low suction range). It is cumbersome and time-consuming to measure the SWCC in the adsorption zone(i.e., high suction range). This study presents a simple method to predict the entire SWCC within both the capillary and adsorption zones, using measured data only from low suction range(e.g., from 0 to 500 kPa). Experimental studies were performed on a completely weathered granite residual soil to determine its entire SWCC from saturated to dry conditions. The resultant SWCC, along with the SWCC measurements of 14 soils reported in the literature, were used to validate the proposed method. The results indicate that the proposed method has good consistency with a wide array of measured data used in this study. The proposed method is easy to use as it only requires a simple parameter calibration for a commonly used SWCC model. It can be used to improve the reliability in the prediction of the SWCC over the entire suction range when measurements are limited within the low suction range.     

Evaluation of the integrated multi-satellite retrievals for global precipitation measurement over the Tibetan Plateau

The availability of high-resolution satellite precipitation measurement products provides an opportunity to monitor precipitation over large and complex terrain and thus accurately evaluate the climatic, hydrological and ecological conditions in those regions. The Global Precipitation Measurement(GPM) mission is an important new program designed for global satellite precipitation estimation, but little information has been reported on the applicability of the GPM’s products for the Tibetan Plateau(TP). The object of this study is to evaluate the accuracy of the Integrated Multi-Satellite Retrievals for GPM(IMERG) Final Run product under different terrain and climate conditions over the TP by using 78 ground gauges from April 2014 to December 2017. The results showed the following:(1) the 3-year average daily precipitation estimation in the IMERG agrees well with the rain gauge observations(R~2=0.58, P0.01), and IMERG also has a considerable ability to detect precipitation, as indicated by a high probability of detection(78%-98%) and critical success index(65%-85%);(2) IMERG performed better at altitudes from 3000 m to 4000 m with a small relative bias(RB) of 6.4%. Precipitation change was not significantly affected by local relief;(3) the climate system of the TP was divided into four climate groups with a total of 12 climate types based on the K?ppen climate classification system, and IMERG performed well in all climate types with the exception of the arid-desert-cold climate(Bwk) type. Furthermore, although IMERG showed the potential to detect snowfall, it still exhibits deficiencies in identifying light and moderate snow. These results indicate that IMERG could provide more accurate precipitation data if its retrieval algorithm was improved for complex terrain and arid regions.     

基于GIS的寿宁县猕猴桃种植区提取

本文在对寿宁县当前经济发展和农业自然资源状况进行充分分析的基础上,根据猕猴桃的生长发育条件,确定相应的指标,应用GIS空间分析技术实现了寿宁县猕猴桃适宜种植区的自动提取.以此体现农业气候信息系统在种植区划上的可行性、优越性,并根据分析结果做出了相关的总结,以供有关部门参考.     

1949—2019年中国自然地理学与生存环境应用研究进展

自然地理学是一门以基础研究见长的自然科学,其研究对象是与人类生存和发展密切相关的自然环境。中国的自然环境复杂多样,自然地理学家根据国家需求和区域发展在应用基础和应用研究方面同样取得显著成效,为国家重大经济建设、社会发展的规划,宏观生态系统与资源环境保护及区域可持续发展做出了重要贡献。本文总结了1949—2019年中国自然地理学在自然环境区域差异与自然区划、土地利用与覆被变化、自然灾害致灾因子和风险防控、荒漠化过程与防治、黄淮海中低产田改造、冻土区工程建设、地球化学元素异常和地方病防治、自然地理要素定位观测、地理空间分异性识别和地理探测器等方面的实践与应用,指出了未来自然地理学的应用研究方向。     

胶州湾女姑山水域夏季赤潮高发期浮游植物群落结构特征

根据 1998年 5～ 8月夏季赤潮高发期间 ,胶州湾女姑山水域浮游植物群落结构的种群组成特征和演替变化对赤潮的发生和种群变动特点进行初步研究。结果表明 ,夏季女姑山水域的浮游植物主要由硅、甲藻组成 ,硅藻在细胞和物种丰度上都占优势。浮游植物优势种在调查期间出现明显的演替现象 ,水温的升高和营养条件的变化是引起物种演替的主要原因。浮游植物细胞丰度在夏季呈明显的增长趋势 ,从 5月份 6.3× 10 5个cell/m3 增至 8月份的 6.7× 10 6个cell/m3 ;其中 ,由于赤潮的爆发 ,细胞丰度的最高峰出现在 7月份 ,为 1.5× 10 7个 /m3 。在赤潮爆发期间 ,赤潮原因种高齿状藻和中肋骨条藻发生了明显的演替现象 ,不同细胞大小的优势种和营养条件的变化是发生物种演替的主要原因。叶绿素a的浓度和细胞丰度的变化共同反映了赤潮发生的全部过程。     

基于部件可靠度和多阶段动态库存的备件管理决策

基于部件可靠度和多阶段动态库存理论,分析了备件需求与库存管理。提出了基于部件可靠度的动态需求模型;以部件的寿命服从指数分布为例,结合实际生产中备件的使用情况,通过确定备件储备的时间点,动态确定各周期备件的需求量。在确定备件动态需求量的基础上,采用多阶段动态库存理论确定了订货次数和每次订货数量,使库存量更符合实际和趋于合理。通过算例分析,给出了最小库存费用,表明基于部件可靠度和多阶段动态库存的备件管理具有一定的实际意义。     

台风对海洋叶绿素a浓度影响的定量遥感初探

研究台风对海洋水色环境的影响,是目前海洋遥感技术又一应用领域。由于台风期间天气恶劣,遥感资料较少,国际上主要针对个别典型台风,研究其对海表温度、海洋叶绿素a浓度及初级生产力的影响,很少通过遥感资料系统地对这一影响进行定量分析和建模。自2000到2007年,过境中国近海以及西北太平洋海域台风近百次,作者通过系统地分析这期间MODIS,SeaWiFS的3A级叶绿素a浓度数据,结果发现:(1)台风促进了相应海域叶绿素a浓度的大幅增长,总体上平均增长约1.426倍,个别区域在5倍以上,同时,该增长一般延后3~6d,在7~10d后恢复到原来的水平;(2)进一步对这些数据进行一元统计线性回归,发现叶绿素a浓度增长比(R_chl-a)与台风影响因子(Tsub>w)满足如下关系:R_chl-a=0.0012Tsub>w+1.017,其相关系数达0.8;(3)台风期间叶绿素a浓度与无台风时叶绿素a浓度之间有很强的线性关系,其关系满足:C_chl-a=1.2367C_0chl-a+0.0636,且相关系数高达0.98。这一初步研究结果对进一步通过遥感手段深入研究台风对海洋水色环境的影响有借鉴意义。     

基于SAR快速提取浒苔信息应用研究

2008年6月以来青岛近海出现的大面积浒苔对青岛奥帆赛场造成严重影响。如何快速、准确地发现浒苔,对治理浒苔具有显著的指导作用。采用卫星遥感数据,尤其是SAR数据对浒苔进行监测,运用一种基于区域增长面向对象的影像尺度分割方法,调整影像的分割尺度,快速提取浒苔信息,在浒苔遥感监测中效果显著。     

基于小波变换选择的海底沉积物声速分析技术

海底沉积物物理特性参数的研究对海洋资源开发、海底工程建设、海地测绘、海洋灾害预报、海底历史研究、航运国防等具有重要意义.它可由对出海采样的样品直接进行土工实验获取,或者经测量得到的声学特性参数表征.目前海底沉积物探测主要以声学测量为主,通过接收透射、反射、折射的声波后提取出声学特性而成,包括压缩波速、切变波速(液体不存在)、声波阻抗、声衰减.针对传统的走时法由于人工读取起跳点造成声速的精确度不高这一特点,引出小波分析方法读取起跳点,应用小波分解原始信号得到的细节信号的模极大值连线来确定原始信号的畸变点,从而确定为接收声信号的起跳点以计算声速.