Multi-dimensional expansion of urban space through the lens of land use: The case study of Nanjing City,China

Journal of Geographical Sciences - The study of multi-dimensional expansion of urban space (MEUS) addresses the laws of urban spatial expansion from all directions and angles. Using Nanjing as an...     

不同反应条件对铜蓝晶体生长的影响

在环境温度下,水中Cu^2+与铁硫化物矿物交换反应形成的铜蓝的结晶度可以影响Cu^2+的回收效率及交换反应的完全程度。本文利用Cu Cl2和Na2S直接反应生成铜蓝,讨论了不同p H值、反应时间、反应温度、反应物浓度、反应物滴加速度、外加电解质浓度等条件对铜蓝晶体生长的影响,并采用XRD、TEM和EDX方法对铜蓝结晶度和形貌进行了表征,用Scherrer公式计算了晶体的平均粒径。结果表明,反应p H值越低,时间越长,温度越高,反应物滴加速度越慢,越有利于铜蓝晶体生长;铜蓝晶体结晶度随着反应物浓度的增加呈先增后减的趋势,而在不同外加电解质浓度条件下表现出不同的结晶度。     

屋檐冰柱初期生长规律实验分析

屋檐冰柱是中高纬度地区常见的冰现象, 其破碎断裂可能对人们的生产和生活带来不利影响。同样在桥梁工程、 隧道工程和输电工程中也经常受到冰柱的影响, 造成危险和工程设施的损害, 但由于缺乏对冰柱生长发育规律的探索, 导致冰柱冰害防治及处理方式仅以机械破坏和加热为主, 成本较高。利用室外实验获取屋檐冰柱的初步生长发育规律, 以此指导在低温室内利用金属载体精准滴定模拟屋檐冰柱初期生长规律实验。实验中通过观测水滴流速及冰柱形成速率（长度、 直径和冰重）, 得出了冰柱性状和时间、 供给水量的相互关系。结果表明： 屋檐冰柱形成和水流分布受冰柱发育程度的影响, 冰柱表面水流流速与冰柱发育过程之间存在互馈关系, 冰柱形态阻力与径流集中产生的流速增量又影响着冰柱发育速度。试验过程及试验数据不仅仅对屋檐冰柱具有解释分析的作用, 对其他工程实际也具有指导意义, 可为屋檐冰柱的防治方法研究提供依据和借鉴。     

马氏珠母贝黄壳色家系的生长、壳色分离及总抗氧化能力比较

以马氏珠母贝(Pinctada fucata martensii)黄壳色作为选育指标构建了黄壳家系,对其4个生长性状和黄壳色性状分离比进行了统计分析,并测定了黄壳家系中黄壳、褐壳色个体不同组织中的总抗氧化能力(TAC)。结果发现:黄壳色性状能遗传并发生分离,其分离不完全符合孟德尔遗传分离定律;褐壳色亲本不会产生黄壳色子代,推测褐壳色是纯合子;第一代黄壳家系5、7月龄贝仅壳宽值显著小于褐壳家系(P0.05),壳高、壳长、总质量差异不显著, 11月龄贝仅壳长和壳宽值显著小于褐壳家系, 14、20月龄贝的壳高、壳长、壳宽、总质量这4个生长性状均极显著小于褐壳家系(P0.01);在第一代6个黄壳家系内,黄壳、褐壳色个体的4个生长性状差异不显著;黄壳色贝在足、心、性腺中的TAC显著低于褐壳色贝(P0.05);在鳃、闭壳肌、消化腺组织中TAC高于褐壳色贝,但差异不显著。     

背景色对红螯螯虾生长、存活、体色及栖息行为的影响

本研究通过设置5种不同背景色（白色、红色、绿色、蓝色、黑色）,以探究背景色差异对红螯螯虾（Cherax quadricarinatus）生长、存活、体色及栖息行为的影响。结果表明养殖56 d后黑色背景色组红螯螯虾体重增长量、特定生长率和成活率最高,分别为32.66 g、1.74%和76.4%,其次为绿色、蓝色和红色背景色组,白色组最差（P<0.05）;黑色和红色背景色红螯螯虾饵料系数最小（3.73~3.80）;黑色背景色条件下红螯螯虾体色偏蓝,ImageJ分析表明,黑色背景色组虾壳RGB值中R和G值显著低于其他各组,黑色背景色虾壳虾青素含20.23 mg/kg,亦显著低于其他各组（69.34~82.15 mg/kg）（P<0.05）;黑色背景色条件下红螯螯虾分布于遮蔽物外的几率显著高于其他各组（P<0.05）。综上所述,背景色能够影响红螯螯虾生长存活、体色及行为分布,养殖中采用黑色作为背景色能够显著提高红螯螯虾生长存活,改善虾体颜色。     

PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans

The accurate and timely estimates of crop physiological growth stages are essential for efficient crop management and precise modeling of agricultural systems. Satellite remote sensing has been widely used to retrieve vegetation phenology metrics at local to global scales. However, most of these phenology metrics (e.g., green-up) are different from crop growth stages (e.g., emergence) used in crop management and modeling. As such, an integrated framework referred to as PhenoCrop was developed to: 1) establish a connection between remote sensing-derived phenology metrics and key crop growth stages based on Wang and Engle plant phenology model and 2) use fused MODIS-Landsat 30 m 8-day reflectance data generated using Kalman Filter-based data fusion technique to produce onset dates of key growth stages of corn (Zea mays L.) and soybeans (Glycine max L.) at 30 m spatial resolution. In this paper, we described the PhenoCrop framework, and tested its performance for the State of Nebraska for 2012–2016 by comparison to observations of estimated key growth stages at four experimental sites, and state-level statistical data from Crop Progress Reports (CPRs) published by the United States Department of Agriculture’s (USDA) National Agricultural Statistical Services (NASS). In addition, to evaluate the suitability of using coarse or high spatial resolution satellite imagery, fused MODIS-Landsat-based estimates were compared with those produced using EOS MODIS 250 m (MOD9Q1) reflectance data.The PhenoCrop estimates captured the typical spatial trends of gradual delay in the progression of the growing season from southeast to northwest Nebraska. Also inter-annual differences due to factors such as weather fluctuations and change in management strategies (e.g., early season in 2012) were evident in the estimates. Validation results revealed that average root mean square error (RMSE) of the state-level estimates of corn and soybean growth stages ranged from 1.10 to 4.20 days and from 3.81 to 7.89 days, respectively, while pixel level estimates had a RMSE ranging from 3.72 to 8.51 days for corn and 4.76–9.51 days for soybean growth stages. Although MODIS 250 m based estimates showed similar general spatial patterns observed in the fused MODIS-Landsat based estimates, the accuracy and ability to capture field scale variations was improved with fused MODIS-Landsat data. Overall, results showed the ability of PhenoCrop framework to provide reliable estimates of crop growth stages that can be highly useful in crop modeling and crop management during the growing season.     

横断山区水土资源利用与经济增长的匹配关系

水土资源不仅是山区生态系统服务供给的一部分,同时也是山区经济发展的重要投入要素。本文以横断山区为研究对象,利用基尼系数法评估水土资源和经济发展之间的匹配状况,同时基于个体随机效应模型建立拓展的Cobb-Douglas生产函数模型实现了经济增长对水土要素的敏感性分析,引入经济增长阻尼模型定量测算了水土资源对横断山区经济发展的制约程度。结果表明：① 2006—2015年横断山区水资源、土地资源与GDP的区域基尼系数波动范围分别为0.260~0.298和0.389~0.424,水资源对不同产业的满足程度相对合理,而对土地资源的利用与经济发展较不匹配,尤其是第二、三产业;② 敏感性分析结果表明,横断山区土地资源的产出弹性是水资源2倍左右,土地资源的累计贡献率明显高于水资源,土地资源要素对经济增长贡献大于水资源要素。③ 水土资源增长阻尼平均水平分别为0.012和0.022,说明水资源和土地资源对横断山区经济发展均产生明显的约束作用,且受土地资源的限制较大。研究表明中国山区发展需要更加重视水土资源开发利用与经济增长需求的匹配,充分挖掘水土资源的利用潜力提高供给可以降低其对经济增长的制约程度。     

土地调查线状地物与图斑逻辑一致性缺陷修正方法

土地调查数据中部分线状地物与图斑存在逻辑一致性缺陷,造成图斑地类面积计算错误。为解决上述问题,本文对土地调查数据线/面逻辑关系进行研究,归纳了线状地物跨越图斑的缺陷类型;并对其成因和影响进行分析,设计了一种通过增量更新进行缺陷修正的方法。该方法不影响地类流量分析,能够较好地维护年度间统计结果的一致性,易于实现缺陷修正的自动化处理,并利于数据回溯。通过土地变更调查国家级数据库质量检查工作实践表明,本文提出的方法有助于提升数据检查的效率,具有较好的实用价值。     

Polyculture of the lined seahorse, Hippocampus erectus Perry, 1810 with two species of macroalgae in aquaria

A two-month study was conducted to test the e?ects of macroalgae on the growth and survivorship of juvenile lined seahorse (Hippocampus erectus) in aquaria. Twenty-day old seahorses were cultured in the tanks with green alga Chaetomorpha linum, red alga Gracilaria tikvahiae, green plastic artiˉcial plant (stargrass), and black plastic net, respectively. Increases in wet mass and standard length for the seahorses were signiˉcantly higher in the tanks with macroalgae than those without macroalgae. The seahorse survivorships in the two macroalgal treatments were also signiˉcantly higher than those of the two treatments without macroalgae. In the treatments with macroalgae, the DO and pH were higher than those without marcoalgae. During the experiment, the color of seahorses was changed to certain extent. In the green background (the treatments with C. linum and stargrass), 24.1%{28.4% of black seahorses decreased over time; whereas in the black (plastic net) or brown (G. tikvahiae) background treatments, 14.1%{16.3% of yellow seahorses decreased over time, for matching that of the background. Furthermore, the survival rate of seahorse was correlation with DO and pH, and strong correlation with standard length, wet mass and CF. Polyculture with macroalgae, survival rates of seahorse were higher than without macroaglae.