Influences of sand cover on erosion processes of loess slopes based on rainfall simulation experiments

Aeolian-fluvial interplay erosion regions are subject to intense soil erosion and are of particular concern in loess areas of northwestern China.Understanding the composition,distribution,and transport processes of eroded sediments in these regions is of considerable scientific significance for controlling soil erosion.In this study,based on laboratory rainfall simulation experiments,we analyzed rainfall-induced erosion processes on sand-covered loess slopes(SS)with different sand cover patterns(including length and thickness)and uncovered loess slopes(LS)to investigate the influences of sand cover on erosion processes of loess slopes in case regions of aeolian-fluvial erosion.The grain-size curves of eroded sediments were fitted using the Weibull function.Compositions of eroded sediments under different sand cover patterns and rainfall intensities were analyzed to explore sediment transport modes of SS.The influences of sand cover amount and pattern on erosion processes of loess slopes were also discussed.The results show that sand cover on loess slopes influences the proportion of loess erosion and that the compositions of eroded sediments vary between SS and LS.Sand cover on loess slopes transforms silt erosion into sand erosion by reducing splash erosion and changing the rainfall-induced erosion processes.The percentage of eroded sand from SS in the early stage of runoff and sediment generation is always higher than that in the late stage.Sand cover on loess slopes aggravates loess erosion,not only by adding sand as additional eroded sediments but also by increasing the amount of eroded loess,compared with the loess slopes without sand cover.The influence of sand cover pattern on runoff yield and the amount of eroded sediments is larger than that of sand cover amount.Furthermore,given the same sand cover pattern,a thicker sand cover could increase sand erosion while a thinner sand cover could aggravate loess erosion.This difference explains the existence of intense erosion on slopes that are thinly covered with sand in regions where aeolian erosion and fluvial erosion interact.     

Simulation of future dissolved oxygen distribution in pond culture based on sliding window-temporal convolutional network and trend surface analysis

Dissolved oxygen (DO) is a key ecological factor to measure the quality of water in the aquaculture. As the pond water body is affected by the breeding environment, the spatial distribution of DO shows a certain law in the entire pond. Therefore, to simulate the distribution of DO in aquaculture waters and grasp the temporal and spatial variation of DO is the key to achieving precise regulation of DO. For this purpose, this paper proposed a method for simulating the temporal and spatial distribution of DO in pond culture based on a sliding window-temporal convolutional network together with trend surface analysis (SW-TCN-TSA). This paper first utilized SW to construct DO data sets with different prediction durations, and then used the improved TCN model to realize one-dimensional time series prediction for DO at single monitoring point. Based on the prediction results of DO, a TSA method was performed on the predicted values of DO at the extreme moments of all discrete monitoring points, so as to realize the simulation of the temporal and spatial distribution of DO in the pond. Experimental results show that the SW-TCN model has better prediction performance for one-dimensional time series prediction of DO. Compared with traditional deep networks, such as CNN, GRU, LSTM, CNN-GRU and CNN-LSTM, the values of evaluation indicators (MSE, MAE and RMSE) have been greatly improved. In the process of trend surface fitting, all fitting R² of DO at different water depths are higher than 0.9, indicating that the TSA can accurately reflect the temporal and spatial distribution of DO. This method can provide a basis for the prediction and early warning of DO in the three-dimensional space of the pond and has high practicability in aquaculture.     

城镇污水处理厂供配电系统分析

污水处理已成为城市建设中必不可少的环节,所以对相应的配套工程也提出了更高的要求,本文将对污水处理厂的供配电系统进行简要的分析。     

‘马来西亚1号’菠萝蜜叶片氮磷钾动态的研究

通过对海南省文昌市南阳镇、琼海市大路镇、乐东县黄流镇3个地区‘马来西亚1号’菠萝蜜叶片氮、磷、钾3种营养元素的周年变化规律跟踪调查分析,结果表明：3个地区菠萝蜜叶片营养元素变化规律相似。元素年平均含量表现为氮>钾>磷。根据实际生产中的生育期调研分析,将菠萝蜜的生长周期大致划分为2个批次3个时期：第一批次养树期（11—12月）、花芽分化期（1—2月）、结果期（3—4月）;第二批次养树期（5—6月）、花芽分化期（7—8月）、结果期（9—10月）。生长周期内,氮元素含量年变化呈现“N”字型变化趋势;磷含量在1—4月呈先上升后下降的趋势,随后呈缓慢上升趋势;钾含量变化趋势与氮含量变化相似,但钾元素含量变化没有氮元素变化明显。菠萝蜜叶片中大量元素含量的适宜范围为：全氮21.03~22.15 g/kg,全磷2.86~3.40 g/kg,全钾13.49~14.47 g/kg。在生长发育过程中,菠萝蜜需氮、钾元素较多,特别是在花芽分化期和结果期,应注意增施氮肥与钾肥,磷肥应于养树期施足。     

社群丰容对圈养小熊猫区域分配的影响

为探索社群丰容对重庆动物园圈养小熊猫行为区域分配的影响,2014年1月—2015年2月,用目标动物取样法对比观察春季、夏季、秋季、冬季社群丰容前后圈养小熊猫区域分配。结果表明:社群丰容增加了小熊猫对栖架、树上的利用,减少了内室和裸露地面和近游客区域的利用。树上利用的最大占比值在夏季,丰容增加了11.1%;栖架的利用最大占比值在春季,丰容增加了2.8%;冬季对内室的利用占比值最高,丰容后,其利用占比减少了8.4%,从而相应增加了小熊猫户外停留时间;丰容后,小熊猫对裸露地面的最大利用占比值减少了3.7%,近游客区域最大占比值减少了5.6%。小熊猫对六大区域的最高利用占比,丰容前后没有变化,最高为树上,最少为裸露地面。     

锥栗良种圆蒂仔特征特性

圆蒂仔是科技人员从众多锥栗农家品种中选育出的锥栗良种,在建瓯市各个乡镇均有栽培,深受广大榛农喜爱。总结圆蒂仔的特征特性。     

基于MaxEnt模型的可可潜在适宜分布研究

根据野外采样和文献查阅,系统整理了可可的地理分布记录,并利用MaxEnt生态位模型和ArcGIS软件对可可的潜在适宜分布范围进行预测。结果表明:北美洲南部、中南美洲北部、非洲西部、亚洲东南部以及太平洋美拉尼西亚群岛地区均是可可的潜在适宜分布区域。其中,中国海南、台湾南部、云南西双版纳、广东雷州半岛也属于可可的适生范围。经ROC(Receiver operating characteristic)曲线分析法验证,MaxEnt模型的AUC(Area under curve)值为0.977,表明预测结果具有较高的可信度。各环境变量重要性的Jacknife检验表明,极端最低温度、年降雨量、年温度变化范围、最暖季降雨量对可可的潜在分布影响最大。     

肌细胞增强因子2B基因在人和动物中的研究进展

肌细胞增强因子2B(MEF2B)基因属于肌细胞增强因子2(MEF2)基因家族成员,广泛表达于人和动物的肌肉和神经组织中,在肌肉生成、神经系统发育和分化、肝脏纤维化等方面具有重要的作用,作者从MEF2B基因的结构、组织分布、生物学功能及研究进展等方面对该基因进行了综述.