太空搭载海水钝顶螺旋藻诱变株H_(11)的室外产多糖特性研究

本研究对一株经太空搭载后选育的海水钝顶螺旋藻诱变株H_(11)的室外产多糖能力进行了评估。结果显示,在广州秋季室外平均温度为27°C下,诱变株H_(11)的生物量产率、总糖含量、总多糖含量和水溶性多糖含量分别为19.09±0.03 mg/(L·d)、27.89±1.28%DW、20.95±0.87%DW和19.74±0.93%DW。与野生株WT相比,H_(11)的生物量、总糖、总多糖和水溶性多糖的产率分别提高了15.39%,148.93%,176.50%和187.70%。在冬季室外平均培养温度为17°C条件下,诱变株和野生株生长速率及多糖产率都有所降低,但诱变株在产多糖能力上仍显著高于野生株(P0.05)。研究表明海水钝顶螺旋藻诱变株H_(11)产多糖能力极高,具有可观的产业应用前景。     

粮食地理学视角下乡村本土农业的社会建构——元阳哈尼梯田稻作系统案例

选取元阳哈尼梯田稻作系统为研究对象,基于粮食地理学的农产品生产-消费网络理论,通过深度访谈等方法分析多元主体在本土农业生产消费领域中的策略及行为,解读其中的社会建构现象。研究发现:农业生产领域中多元参与特征显著,优质稻种的人为筛选、种养品种的多样化以及土地流转的推广均为政府、村民和外来企业为实现各自利益而共同协商达成的策略,不同行动者共同利用与改造着农业生产的各种要素;农产品消费领域中,政府和企业逐步承担了农产品商品化的后续工序,国有资本完成农产品的收购、加工与包装,外来商业资本负责建构商品品牌,满足目标消费者的市场需求是他们的共同目标。     

新时期新疆水库大坝建设的主要问题与对策建议

截止 2018 年，全疆（含兵团）已建、在建及拟建水库 722 座（包括电站水库），总库容 295.0 × 10⁸ m³。有力地改善了水资源调控和利用效率，在灌溉、供水、防洪、发电、旅游等方面发挥了极其 重要的作用。新时期按照水利部“水利工程补短板、水利行业强监管”的工作总基调，针对南北疆 水资源配置不平衡问题、水资源利用不充分问题，谋划提出了兴建数十座大中型山区水库，以及提 升已建水库大坝信息化管理水平、加强水库调度运行管理，在满足生态需水的前提下统筹生活、生 产供水，最大程度发挥水库效益、确保水库安全运行。针对新时期气候变化条件下水库洪水风险 分析、大坝建设需要重点关注的几项关键技术、山区水库替代平原水库、河流健康与生态调度、水库 清淤与能力提升、水库信息化与智能调度以及延长服役期等问题进行了探讨，提出若干对策建议。     

Vulnerability assessment of population in mountain settlements exposed to debris flow: a case study on Qipan gully,Wenchuan County,China

Natural Hazards - This research selected the Qipan gully as a study area for field investigation. The vulnerability of the population to debris flows in Qipan gully was assessed. Several valuation...     

近30 a甘肃省河东地区极端气温指数时空变化特征及趋势预测

基于甘肃省河东地区61个气象站点1988—2017年逐日气温数据，利用Mann-Kendall检验，Sen’s斜率估计方法分析甘肃省河东地区极端气温指数的时空变化趋势，并探讨极端气温指数与其影响因素之间的关系，最后利用NAR神经网络结合Hurst指数对甘肃省河东地区极端气温指数变化进行预测分析。结果表明：(1)从时间上看，冷极值相对指数呈下降趋势，冷极值绝对指数、暖极值以及气温日较差、作物生长期呈上升趋势。(2)从空间上看，对冷极值变化反应最为敏感的是高寒湿润区，对暖极值变化反应最为敏感的是温带半湿润区和北亚热带湿润区，除北亚热带湿润区外各区域作物生长期的变化都达到了显著水平，而气温日较差仅在温带半湿润区达到了显著水平。(3)多数极端气温指数与经纬度、海拔之间有显著相关性，但受区域自然特点影响，经度与海拔对其影响实为一类。(4)亚洲区极涡强度、北半球极涡强度以及青藏高原指数B与极端气温指数变化有密切关系，而太阳黑子等只与个别指数之间存在显著的相关性。(5)预测出的极端气温指数冷极值相对指数仍呈现下降趋势，冷极值的绝对指数、暖极值以及气温日较差、作物生长期仍然呈现增加趋势，但大多数指数与1988—2017年相比变化幅度有所降低。（6）与其他区域相比甘肃省河东地区大多数气温指数变化幅度处于中间水平，表现出其为多种不同气候区、自然区交界地带的特色。     

全球重大疫情对经济系统的影响及其响应的比较研究

新型冠状病毒疫情扩散范围广、感染人数多，被世界卫生组织列为“国际公共卫生紧急事件”。以2003年中国非典型肺炎、2009年墨西哥甲型H1N1流感、2015年韩国中东呼吸道综合症和截至目前的2020年全球新冠疫情作为典型案例，比较全球重大疫情的经济影响与各地的响应措施，有助于积极探索更好地应对本次新冠疫情经济影响的政策响应途径。在历次疫情影响下，中国、墨西哥、韩国、美国等国家的经济系统都受到了突发疫情的重大影响。2003年中国第二季度GDP增速环比降低1.98%，交通运输、住宿、餐饮等第三产业首当其冲；墨西哥2009年GDP增长率降至-5.286%，旅游、零售餐饮与猪肉行业受到较大冲击；韩国2015年GDP增速由2014年的3.3%降至2.79%，旅游业与零售业的市场需求受到极大抑制；美国2020年第二季度实际GDP按年率计算下滑32.9%，是自1947年以来的最大降幅。为此，各国政府积极响应和应对，多策并举减轻疫情对经济系统的短期冲击：一是通过设立专项资金、增加财政预算，全面支持经济复苏；二是通过为企业提供经营补贴、延缓税收缴纳等举措，减轻企业尤其中小企业的经营负担；三是通过电商平台、城市宣传、简化签证手续等举措，振兴旅游业和商业发展。为了更好地应对此次新型冠状病毒疫情对经济系统的影响，各国应当统筹疫情防控与经济发展，积极采取减费降税、减少企业负担、扶持第三产业等响应举措，尽快恢复正常的世界经济秩序。     

Effect of farmland expansion on drought over the past century in Songnen Plain,Northeast China

The effects of human activities on climate change are a significant area of research in the field of global environmental change. Land use and land cover change(LUCC) has a greater effect on climate than greenhouse gases, and the effect of farmland expansion on regional drought is particularly important. From the 1910 s to the 2010 s, cultivated land in Songnen Plain increased by 2.67 times, the area of cultivated land increased from 4.92×10~4 km~2 to 13.14×10~4 km~2, and its percentage of all land increased from 25% to 70%. This provides an opportunity to study the effects of the conversion of natural grassland to farmland on climate. In this study, the drought indices in Songnen Plain were evaluated from the 1910 s to the 2010 s, and the effect of farmland expansion on drought was investigated using statistical methods and the Weather Research and Forecasting Model based on UK's Climatic Research Unit data. The resulting dryness index, Palmer drought severity index, and standardized precipitation index values indicated a significant drying trend in the study area from 1981 to 2010. This trend can be attributed to increases in maximum temperature and diurnal temperature range, which increased the degree of drought. Based on statistical analysis and simulation, the maximum temperature, diurnal temperature range, and sensible heat flux increased during the growing season in Songnen Plain over the past 100 years, while the minimum temperature and latent heat flux decreased. The findings indicate that farmland expansion caused a drying trend in Songnen Plain during the study period.     

A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes

ABSTRACT

The spatio-temporal residual network (ST-ResNet) leverages the power of deep learning (DL) for predicting the volume of citywide spatio-temporal flows. However, this model, neglects the dynamic dependency of the input flows in the temporal dimension, which affects what spatio-temporal features may be captured in the result. This study introduces a long short-term memory (LSTM) neural network into the ST-ResNet to form a hybrid integrated-DL model to predict the volumes of citywide spatio-temporal flows (called HIDLST). The new model can dynamically learn the temporal dependency among flows via the feedback connection in the LSTM to improve accurate captures of spatio-temporal features in the flows. We test the HIDLST model by predicting the volumes of citywide taxi flows in Beijing, China. We tune the hyperparameters of the HIDLST model to optimize the prediction accuracy. A comparative study shows that the proposed model consistently outperforms ST-ResNet and several other typical DL-based models on prediction accuracy. Furthermore, we discuss the distribution of prediction errors and the contributions of the different spatio-temporal patterns.     

Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region

Climate condition over a region is mostly determined by the changes in precipitation, temperature and evaporation as the key climate variables. The countries belong to the Belt and Road region are subjected to face strong changes in future climate. In this paper, we used five global climate models from the latest Sixth Phase of Coupled Model Intercomparison Project (CMIP6) to evaluate future climate changes under seven combined scenarios of the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0 and SSP5-8.5) across the Belt and Road region. This study focuses on undertaking a climate change assessment in terms of future changes in precipitation, air temperature and actual evaporation for the three distinct periods as near-term period (2021-2040), mid-term period (2041-2060) and long-term period (2081-2100). To discern spatial structure, K?ppen-Geiger Climate Classification method has been used in this study. In relative terms, the results indicate an evidence of increasing tendency in all the studied variables, where significant changes are anticipated mostly in the long-term period. In addition to, though it is projected to increase under all the SSP-RCP scenarios, greater increases will be happened under higher emission scenarios (SSP5-8.5 and SSP3-7.0). For temperature, robust increases in annual mean temperature is found to be 5.2 °C under SSP3-7.0, and highest 7.0 °C under SSP5-8.5 scenario relative to present day. The northern part especially Cold and Polar region will be even more warmer (+6.1 °C) in the long-term (2081-2100) period under SSP5-8.5. Similarly, at the end of the twenty-first century, annual mean precipitation is inclined to increase largely with a rate of 2.1% and 2.8% per decade under SSP3-7.0 and SSP5-8.5 respectively. Spatial distribution demonstrates that the largest precipitation increases are to be pronounced in the Polar and Arid regions. Precipitation is projected to increase with response to increasing warming most of the regions. Finally, the actual evaporation is projected to increase significantly with rate of 20.3% under SSP3-7.0 and greatest 27.0% for SSP5-8.5 by the end of the century. It is important to note that the changes in evaporation respond to global mean temperature rise consistently in terms of similar spatial pattern for all the scenarios where stronger increase found in the Cold and Polar regions. The increase in precipitation is overruled by enhanced evaporation over the region. However, this study reveals that the CMIP6 models can simulate temperature better than precipitation over the Belt and Road region. Findings of this study could be the reliable basis for initiating policies against further climate induced impacts in the regional scale.     

干旱区地表温度和热岛效应演变研究——以宁夏沿黄城市带为例

宁夏沿黄城市带位于宁夏东北部，不仅是干旱地区地理研究的重点区域，也是宁夏经济发展的核心区域。基于2000—2018年的MODIS地表温度、土地覆盖类型以及植被覆盖率数据，通过计算热岛比例指数 (URI)，利用Mann-Kendall非参数检验及Sen’s斜率估计法，对宁夏沿黄城市带近20 a白天和夜间的地表温度（LST）和热岛效应时间变化进行分析。结果表明：（1） 近20 a来，宁夏沿黄城市带大部分地区[WTBX]LST变化不显著，但在植被覆盖率增加区域，白天LST显著减小而夜间LST显著上升；植被覆盖率减小区域与之相反；夜间LST[WTBZ]变化幅度强于白天。（2） 宁夏沿黄城市带的热岛效应通常在白天较弱、在夜间较强；白天和夜间时刻的城市热岛效应在一年内呈现不同的季节变化特点,白天春冬较强，夜间夏季较强；过去近20 a，宁夏沿黄城市带白天热岛效应呈现稍微减弱趋势，夜间热岛效应呈现稍微增强趋势，但变化趋势均不显著。（3） 从植被覆盖率和地物类型两个影响因素的研究表明，植被覆盖率是影响地表温度变化的重要因素，城建区与郊区主要地物温差的改变是城市热岛强度变化的重要原因。从长时间序列变化的角度详细分析干旱区城市热岛的特征和变化原因，可为干旱区城市热岛带来的环境问题治理提供参考，也为研究干旱区热岛提供了借鉴。