重庆直辖以来乡村人居环境可持续发展力及其时空分异研究

乡村人居环境是一复杂巨系统,其可持续发展力是各子系统间物质、信息与能量相互流通与交换的结果,本文从经济发展、生产生活、生态环境3个子系统入手构建乡村人居环境可持续发展力的评价指标体系,以1997—2015年重庆市37个区县的面板数据为数据源,运用发展水平(衡量乡村人居环境可持续发展态势)、发展效率(反映乡村人居环境发展趋向可持续的快慢程度)和协调指数(反映各子系统发展水平均衡程度)构建乡村人居环境可持续发展力测度模型,分析了乡村人居环境可持续力并探究其时空分异特征,为因地制宜践行《农村人居环境整治三年行动方案》提供策略支持。结果表明：1997—2015年,乡村人居环境可持续发展力时序上总体态势向好,其中发展水平逐步上升,发展效率波动剧烈,协调性稳步提高,各子系统间可持续发展力差异性较大;乡村人居环境可持续发展力在空间上总体呈现西高东低、“中心-边缘”的分异格局,区县间差异性明显,其中经济发展子系统呈“多级核心-外围”辐射圈层式差异化增长格局、生产生活子系统呈自西向东扩散式增长格局,生态环境子系统总体上先降后升,呈波浪式不均衡增长格局;从政府“制导引导”、城乡“双轮”联动、“点-极-核”整治模式等方面提出了相关整治策略。     

乡村生产空间系统要素构成及运行机制研究

乡村生产空间系统是一个客观存在的、典型的人地关系地域系统,具有耗散结构特征。论文以系统论为指导,遵循系统科学的基本思维方法,从学理上对乡村生产空间系统的内涵及要素构成进行辨析,并围绕农村生产关系变革划分了乡村生产空间系统的演进历程,在此基础上对乡村生产空间系统的运行机制进行阐释。研究发现,乡村生产空间系统主要由基础要素(资源环境和基础设施)、核心要素(多元经营主体和乡村文化)、驱动要素(资本、技术、信息和市场)和管理要素(制度和政策)4种要素构成;依据乡村生产关系变革、经济体制变迁、城乡关系转变等规律,将新中国成立后乡村生产空间系统的演进历程划分为土地改革运动时期、农业互助合作运动时期、人民公社化运动时期和家庭联产承包责任制时期4个时期,不同时期乡村生产空间系统的要素构成、要素间的联系方式不同,乡村生产空间系统特征表现各异;乡村生产空间系统通过支撑与约束机制、竞争与合作机制以及调控与反馈机制推动自身运行发展。从要素功能、结构关系、协同等视角去审视乡村生产空间系统的运行状态、诊断系统运行的动力机制或障碍因素等,将成为未来乡村生产空间系统研究的重点。     

乡村振兴规划的性质及其体系构建探讨

实施乡村振兴战略是解决中国新时代社会主要矛盾的必然要求,关系着国家现代化的成败。落实乡村振兴战略需要建立科学合理的乡村振兴规划体系,统筹协调和优化配置城乡要素资源。论文基于地理学综合视角,深入分析乡村概念内涵与乡村发展的基本特征,总结乡村振兴规划的基本性质与存在的主要问题,初步构建了乡村振兴规划体系框架。结果表明：① 乡村包含社会文化、政治经济和地理空间多重属性,具有生产、生活、生态、文化等多功能,乡村振兴发展是乡村资源开发利用、经济社会发展和自然人文耦合的综合过程;② 乡村系统具有要素分散性和发展自组织性、空间异质性和类型多样性、对区域和城市依赖性与产业发展受自然因素强限制的基本特征;③ 乡村振兴规划是对乡村空间要素资源配置的统筹协调过程,其本质是以促进公平为导向的规划,应更加强调规划参与过程及其统筹协调能力;④ 当前中国乡村规划尚未形成完整体系,缺少法律基础,规划技术理论发展较滞后,规划边界模糊、规划深度不够,规划实施保障机制不健全;⑤ 基于上述理论和问题分析,构建了包含主体规划系统、制度保障系统、技术支持系统、多规协调系统和参与反馈系统的“五位一体”乡村振兴规划体系。该体系可以高效配置乡村要素资源,促进城乡融合发展,有利于形成规划合力,增强乡村振兴规划的权威性、可行性和实用性。     

基于傅里叶级数的中国沿海地区Tm模型精化研究

本文采用中国沿海地区13个探空站2010~2014年实测地表温度T_s与平均温度T_m数据,利用傅里叶级数分析法精化中国沿海地区T_m模型,并将2015年探空站实测T_m数据与精化模型进行对比检验。结果表明,精化模型在T_m探测方面具有更高的计算精度,其计算大气可降水量的误差概率分布趋近于正态分布,具有较强的稳定性。     

基于全球分布的地震观测数据估计0S0模态的特征频率及品质因子

选取2011-03-11日本MW9.3地震后全球地震台站记录的约220 h波形数据,基于一定的判断准则,筛选出质量较高的448个垂向观测数据,采用频域AR方法对0S0模态的特征频率和品质因子进行估值,并以信噪比为权重进行加权平均,得到特征频率f=0.814 658 4±5.3×10-7,品质因子Q=5 586±12。该结果与已有研究成果相比精度更高,有助于约束现有地球介质密度和衰减模型,使其更接近真实地球。     

Influence of Indian Ocean Dipole on Tropical Cyclone Activity over Western North Pacific in Boreal Autumn

In this study, we investigated the influence of the Indian Ocean Dipole(IOD) on the interannual variability of tropical cyclone(TC) activity over the western North Pacific(WNP) during autumn(September–November) from 1961–2015. We found the number of TCs making landfall in China to be significantly negatively correlated with the IOD index, which can be attributed to shifts in the location of TC formation together with the abnormal steering flow at 500 hPa. During negative IOD autumns, TC genesis regions move obviously westward due to the westward retreat of the WNP monsoon trough. The TC activity is remarkably enhanced near South China coastal areas, which is due to a contiguous 500-hPa subtropical ridge. In contrast, during positive IOD autumns, TC genesis positions obviously shift eastward and more TCs tend to exhibit recurvature around 130?E or a westward path south of 15?N led by an equatorward movement of the 500-hPa subtropical ridge with a break near 125?E. In our examination of large-scale circula-tion, we found a pair of equator-symmetric anticyclones in the lower troposphere resulting from variations in the large-scale Walker circulation induced by the anomalous sea surface temperature(SST) associated with a positive IOD. The resulting Philippines anti-cyclonic anomalies are closely related to the variability of the monsoon trough over the WNP region. Furthermore, the variations in the steering flow can be explained by the suppressed(enhanced) convective activities around the Philippines and the weakened(strengthened) local meridional circulation over East Asia in positive(negative) IOD years.     

Effects of Seawater Acidification on Early Development of Clam Cyclina sinensis

Anthropogenic emission of atmospheric carbon dioxide(CO_2) has led to a rapid increase in atmospheric CO_2 concentration. Increasing atmospheric CO_2 can reduce seawater pH and carbonate ions, which may adversely affect the survival of the larvae of calcareous animals. Cyclina sinensis is a commercially and ecologically important species in several Asian countries. Living in coast shallow waters, this species has experienced the coastal environmental changes frequently throughout its life cycle. In this study, we simulated possible future seawater pH values including 8.2, 7.8 and 7.4 and examined the effects of ocean acidification on the early development of C. sinensis. Clam embryos were incubated for 48 h(2 d) in control and high-CO_2 seawater to compare embryogenesis, larval growth and swimming behavior. Fertilization rate was quite sensitive to pH, and moderate acidification could induce a significant decrease in fertilization rate. However, only extreme acidification could bring significant negative effect to hatching rate, body size, and average path velocity of trochophora. Moreover, with seawater acidification, C. sinensis needs much more time to reach the same developmental stage, which increases the risk of larva survival. Together with recent studies demonstrating negative impacts of high CO_2 on fertilization and larva swimming behavior, the results imply a future decrease of C. sinensis populations in oceans if its acclimation to the predicted environmental alteration does not occur.     

Reverse-Time Migration of Converted S-Waves of Varying Densities

Ocean-Bottom Node(OBN) acquisitions provide both non-converted and converted reflection energy. There is a clear advantage to independently imaging both P-and S-waves, as they provide more information collectively than either does alone. In many conventional converted-wave pre-stack migration algorithms, density is treated as a constant, which is not the real-life case on earth. S-wave velocity and density information is crucial for hydrocarbon detection because it helps in the identification of porefilling fluids. In this paper, we focused on the effect of density on imaging, and developed a method of reverse-time migration(RTM) on converted s-waves of varying densities(VD-RTMCS). Phase correction was required prior to pre-stack migration to avoid constructive interference between data from adjacent sources. Synthetic data examples showed that when density variations were included, image profiles showed advantages in signal-to-noise ratio, vertical resolution and imaging of complex structures.     

Comparisons of Salinity Adaptation in Terms of Growth,Body Composition,and Energy Budget in Juveniles of Rainbow and Steelhead Trouts (Oncorhynchus mykiss)

This study examined the effect of different salinities(0, 5, 10, 15, 20, 25 and 30) on the growth performance and energy budget of juveniles of two different ecotypes of Oncorhynchus mykiss, landlocked rainbow trout and anadromous steelhead trout. In the 42 d experiment, fish were cultured in three replicate tanks per salinity treatment(eight fish per tank). At the end of the experiment, the growth of rainbow and steelhead trouts was significantly higher at salinities of 5 and 10, respectively, than at all other salinities. The protein, lipid and energy content of both ecotypes declined with the increase of salinity. Based on their energy budgets, the percentage of energy consumed for growth by rainbow and steelhead trouts were significantly higher at salinities of 5(34.00% ±1.69%) and 10(43.76% ± 1.29%), respectively, than at all other salinities. The percentage of energy consumed for respiration by rainbow and steelhead trouts was lower at salinities of 5(54.90% ± 1.77%) and 10(46.73% ± 0.62%), respectively, than at all other salinities. Our results indicated that the salinity adaptation ability of juvenile steelhead trout was slightly better than that of juvenile rainbow trout, and salinities of 10 and 5, respectively, were most suitable for growth of these two fishes.     

Impacts of SIS and CICE as Sea Ice Components in BCC_CSM on the Simulation of the Arctic Climate

Sea ice is a sensitive indicator of climate change and an important component of climate system models. The Los Alamos Sea Ice Model 5.0(CICE5.0) was introduced to the Beijing Climate Center Climate System Model(BCC_CSM) as a new alternative to the Sea Ice Simulator(SIS). The principal purpose of this paper is to analyze the impacts of these two sea ice components on simulations of basic Arctic sea ice, atmosphere, and ocean states. Two sets of experiments were conducted with the same configurations except for the sea ice component used, i.e., SIS and CICE. The distributions of sea ice concentration and thickness reproduced by the CICE simulations in both March and September were closer to actual observations than those reproduced by SIS simulations, which presented a very thin sea ice cover in September. Changes in sea ice conditions also brought about corresponding modifications to the atmosphere and ocean circulation. CICE simulations showed higher agreement with the reference datasets than did SIS simulations for surface air temperature, sea level pressure, and sea surface temperature in most parts of the Arctic Ocean. More importantly, compared with simulations with SIS, BCC_CSM with CICE revealed stronger Atlantic meridional overturning circulation(AMOC), which is more consistent with actual observations. Thus, CICE shows better performance than SIS in BCC_ CSM. However, both components demonstrate a number of common weaknesses, such as overestimation of the sea ice cover in winter, especially in the Nordic Sea and the Sea of Okhotsk. Additional studies and improvements are necessary to develop these components further.