Assessing artificial neural networks coupled with wavelet analysis for multi-layer soil moisture dynamics prediction

Soil moisture simulation and prediction in semi-arid regions are important for agricultural production,soil conservation and climate change.However,considerable heterogeneity in the spatial distribution of soil moisture,and poor ability of distributed hydrological models to estimate it,severely impact the use of soil moisture models in research and practical applications.In this study,a newly-developed technique of coupled(WA-ANN) wavelet analysis(WA) and artificial neural network(ANN) was applied for a multi-layer soil moisture simulation in the Pailugou catchment of the Qilian Mountains,Gansu Province, China.Datasets included seven meteorological factors:air and land surface temperatures,relative humidity,global radiation, atmospheric pressure,wind speed,precipitation,and soil water content at 20,40,60,80,120 and 160 cm.To investigate the effectiveness of WA-ANN,ANN was applied by itself to conduct a comparison.Three main findings of this study were:(1) ANN and WA-ANN provided a statistically reliable and robust prediction of soil moisture in both the root zone and deepest soil layer studied(NSE >0.85,NSE means Nash-Sutcliffe Efficiency coefficient);(2) when input meteorological factors were transformed using maximum signal to noise ratio(SNR) and one-dimensional auto de-noising algorithm(heursure) in WA, the coupling technique improved the performance of ANN especially for soil moisture at 160 cm depth;(3) the results of multi-layer soil moisture prediction indicated that there may be different sources of water at different soil layers,and this can be used as an indicator of the maximum impact depth of meteorological factors on the soil water content at this study site.We conclude that our results show that appropriate simulation methodology can provide optimal simulation with a minimum distortion of the raw-time series;the new method used here is applicable to soil sciences and management applications.     

Vertical profiling of SO2 and SO above Venus’ clouds by SPICAV/SOIR solar occultations

New measurements of sulfur dioxide (SO₂) and monoxide (SO) in the atmosphere of Venus by SPICAV/SOIR instrument onboard Venus Express orbiter provide ample statistics to study the behavior of these gases above Venus’ clouds. The instrument (a set of three spectrometers) is capable to sound atmospheric structure above the clouds in several observation modes (nadir, solar and stellar occultations) either in the UV or in the near IR spectral ranges. We present the results from solar occultations in the absorption ranges of SO₂ (190–230 nm, and at 4 μm) and SO (190–230 nm). The dioxide was detected by the SOIR spectrometer at the altitudes of 65–80 km in the IR and by the SPICAV spectrometer at 85–105 km in the UV. The monoxide’s absorption was measured only by SPICAV at 85–105 km. We analyzed 39 sessions of solar occultation, where boresights of both spectrometers are oriented identically, to provide complete vertical profiling of SO₂ of the Venus’ mesosphere (65–105 km). Here we report the first firm detection and measurements of two SO₂ layers. In the lower layer SO₂ mixing ratio is within 0.02–0.5 ppmv. The upper layer, also conceivable from microwave measurements by Sandor et al. (Sandor, B.J., Todd Clancy, R., Moriarty-Schieven, G., Mills, F.P. [2010]. Icarus 208, 49–60) is characterized by SO₂ increasing with the altitude from 0.05 to 2 ppmv, and the [SO₂]/[SO] ratio varying from 1 to 5. The presence of the high-altitude SO_x species could be explained by H₂SO₄ photodissociation under somewhat warmer temperature conditions in Venus mesosphere. At 90–100 km the content of the sulfur dioxide correlates with temperature increasing from 0.1 ppmv at 165–170 K to 0.5–1 ppmv at 190–192 K. It supports the hypothesis of SO₂ production by the evaporation of H₂SO₄ from droplets and its subsequent photolysis at around 100 km.     

南羌塘增生过程的中-晚三叠世岩浆记录:藏北玛依岗日-角木日地区基性岩墙

古特提斯洋向北俯冲形成增生杂岩,它们向南增生构成了南羌塘增生地体,且增生期内发育的岩浆岩可以用来研究南羌塘的增生过程。在南羌塘增生杂岩带内,由北向南,发育有玛依岗日(MG)辉长岩墙、角木日(JM)辉长辉绿岩墙。锆石U-Pb测年结果显示,两者分别形成于237. 1±2. 3Ma和230. 7±1. 8Ma,为南羌塘增生期内岩浆岩。它们的岩石地球化学特征均介于OIB与E-MORB之间,富集Ti、Nb,以及LREE和LILE。Nd-Pb同位素结果显示两者均起源于富集地幔源区。Sm/YbLa/Yb图解显示,两者均起源于尖晶石-石榴石二辉橄榄岩源区,相对于JM辉长辉绿岩MG辉长岩部分熔融程度较高。两者Mg#和Ni、Cr特征表明,MG辉长岩分异程度高于JM辉长辉绿岩。Th/Nb-La/Nb图解显示,相对于JM辉长辉绿岩MG辉长岩经历了一定程度的地壳混染。综合研究认为,MG辉长岩和JM辉长辉绿岩为古特提斯洋壳俯冲过程中软流圈上涌的两次岩浆活动的产物,并受俯冲洋壳和地幔楔影响。MG辉长岩和JM辉长辉绿岩记录了南羌塘的增生过程,它们为相关研究提供了岩浆岩证据。     

昆仑8.1级地震前青藏块体东北缘构造运动特征

利用青藏块体东北缘1993、1999和2001年的GPS观测资料和1980年以来的跨断层流动形变资料，分析了昆仑8．1级地震前青藏块体东北缘地区水平运动演变与断层异常活动的一些特征。结果显示：震前水平运动与变形强度减弱，断层形变异常发育。结合块体和构造研究认为，青藏块体内部8．1级大震的蕴育和发生，对块体边界构造区域影响显著；震后调整和应力转移可能加速块体东北部某些构造部位应变能的积累。     

Application of FLAC3D in supporting engineering of deep foundation ditch

Based on the design principles of economic rationality and safety, multiple-pivot pile anchorage approach was used as the supporting engineering of a tall building with a deep foundation ditch. The designs, such as anchor arm, single pile and the whole, were set up in accordance with the calculations of the internal force from the equivalent beam and Yamagata Kunio methods. Moreover, the rationality of the design was estimated using the stability checks. FLAC3D was used for calculating the accuracy of the design. Using FLAC3D to simulating ditch cutting and supporting processes can obtain the equivalent results as the theory analysis in the displacement of ditch surrounding wall, the stress field and stress distribution.     

试论黑龙江省地质环境的保护

首先在引言中提出了地质环境的涵义,并回顾了人类对地质环境的认识和保护的历史,分析了当前地质环境保护的重要性和紧迫性。接着研究了黑龙江省在地质环境保护中所存在的一系列问题,最后具体提出了地质环境保护的措施和对策。期望有关部门和领导的地质环境的保护和管理工作能提供一个典型实例及一种积极的探索经验。同时还具有现实意义和历史意义。     

大都市空间集散的景观、机制与规律--南京大都市的实证研究

集聚与扩散是研究大都市空间演化的基本视角.该文以南京为实证,着重从人口与就业的密度分布以及办公与商务的空间分布等方面,运用大量第一手的调查资料,探讨了南京大都市空间演化过程中要素集散的现象、机制与有关问题,并提炼了一些规律性的结论.     

禹城市土地利用与生态环境的关系

生态环境问题已成为当今世界制约可持续发展最为重要的问题,土地利用变化可引起生态环境的改变。根据禹城市土地利用结构的变化情况,分析土地利用与生态环境的关系,指出土地利用结构的变化可导致生态环境的改变。要保护好生态环境,就必须科学合理地利用土地。     

由降雨侵蚀引起的山坡面水土流失预测的数学模型

数学模型包括：坡面水流连续方程、水流运动方程、泥沙连续方程（水土流失方程）、坡面变形方程。考虑到坡面流的流速及非线性双曲型方程,采用迎风有限差分显格式来离散方程,编制计算程序,进行了计算。研究成果可以描述动态坡面降雨侵蚀过程,并可将研究成果扩展到整个小流域,从而为治理水土流失提供依据。     

Mapping the resting cysts of dinoflagellate Alexandrium catenella along the coast of Qinhuangdao,China

Dinoflagellate Alexandrium catenella is a cosmopolitan bloom-forming species with complex life cycle, the formation and germination of resting cysts are critical for its bloom dynamics. In the coastal waters of Qinhuangdao, A. catenella has been identified as the major causative agent for paralytic shellfish poisoning, but there is little knowledge concerning its resting cysts in this region. In this study, three surveys were carried out along the coast of Qinhuangdao from 2020 to 2021 to map the distribution of A. catenella resting cysts, using a quantitative PCR (qPCR) assay specific for A. catenella. The resting cysts were detected in surface sediments during all the three surveys, and their distribution patterns were similar. High abundance of resting cysts (maximum 1 300 cysts/g sediment (wet weight)) were found in a region (119.62°E–119.99°E, 39.67°N–39.98°N) northeast to the coastal waters of Qinhuangdao, where surface sediments were mainly composed of clay and silt (percentage above 50%). Prior to the formation of the A. catenella bloom in March 2021, the abundance of A. catenella vegetative cells in seawater had extremely significant positive correlation with the abundance of resting cysts in surface sediments, reflecting the important role of resting cysts in the initiation of A. catenella blooms. As far as we know, this is the first report on the distribution of A. catenella cysts along the coast of Qinhuangdao. The results will offer a sound basis for the future monitoring and mitigation of toxic A. catenella blooms and paralytic shellfish poisoning events in this region.