从来书道在吴兴——费新我艺术的文化生态和地域气质

费新我先生的书法艺术具有强烈的开拓创新精神。他勇于探索,不断新我,把书法艺术推向了一个新的高峰。俗话说"一方水土养一方人",费新我的艺术生命同样离不开他所生活的地域、社会和时代环境。湖州文化的深厚底蕴和江南文化的浓厚氛围孕育了费新我艺术的文化精神和气质。

牡丹文化的地域气质——以中国三大牡丹栽培中心为例

人类文明的发展在很大程度上是依托于技术和文化的传承而实现的。而多彩的文化本身均具有强烈的地域特色。在文明的形成过程中,地域气质(包括地理气候、人文风情)是如何逐渐显现并固化的呢?本文以我国三大牡丹中心:四川彭州、河南洛阳、山东荷泽为例,通过剖析其各具特色的牡丹种植技术与观赏文化,探讨地域气质在牡丹文化发展中的作用。

广西地域气质催生与之相近的文化关联——以水彩画在广西发展为例

水的"无形"与彩的"娇媚"赋予水彩本身的可能性,拼写了该画种在历史演进过程中的各种特性。本文从广西地方水彩文化的视角来探究地域文化与地域之间的相互依存关系。在"中国东盟和一带一路"时代背景下,正确认识地域特色不等于艺术的文化特色,只有深刻领悟地域文化精髓,才能真正形成地方特色文化。

山水画笔墨特征与地域的关系

中国山水画的笔墨表现形式,受地域地貌环境影响较大:一是生活在不同区域里的艺术家,受自然景观的潜意识影响,无法完全脱离物象对笔墨形式的影响;二是生活在不同区域的艺术家,存在着气质上的差异,气质影响着情感的表达方式,尤其影响着艺术的表达方式。纵观古今各类艺术形式,地域特征对艺术形式表达的影响是显而易见的。

Structural Characteristics and Evolution of Jurassic Basins in the East of Middle Qilian Block

Structural characteristics of the Jurassic basins of Xining, Minhe, and Xiji in the east of middle Qilian were researched based on the data obtained by gravitational, magnetic, and seismic methods. The result shows that each of these three basins is an independent structural unit with a NW strike and being separated by upheavals. Two groups of faults with NW and NE directions are developed in the basin, which controls the formation and evolution of the (Jurassic basins). The NW faults are the main ones while the NE faults are the secondary for controlling the sedimentation. Of the three basins, the Minhe basin is the favorable prospecting area.

Simulated seasonal variations in nitrogen wet deposition over East Asia

The regional air quality modeling system Regional Atmospheric Modeling System–Community Multiscale Air Quality was applied to estimate the spatial distribution and seasonal variation in nitrogen wet deposition over East Asia in 2010. The simulated results were evaluated by comparing modeled precipitation rates and ion concentrations, such as ammonium（NH_4~＋）, nitrate（NO_3^-）, and sulfate, in rainwater, against observations obtained from Acid Deposition Monitoring Network in East Asia and meteorological stations in China. Comparison of simulated and observed precipitation showed that the modeling system can reproduce seasonal precipitation patterns reasonably well. For major ion species, the simulated results in most cases were in good agreement with those observed. Analysis of the modeled wet deposition distributions indicated that China experiences noticeable variation in wet deposition patterns throughout the year. Nitrogen wet deposition（NH_4~＋ ＋ NO_3^-） during summer and spring accounted for 71% of the annual total（3.9 Tg N yr^（-1））, including 42.7% in summer. Precipitation plays a larger role in the seasonal variation of wet deposition; whereas, aerosol concentrations affect its distribution patterns. In China, the amount of annual nitrogen wet deposition ranged from 1 to 18 kg N ha^（-1）. Nitrogen in wet deposition was mainly in the form of NH_4~＋, accounting for 65.76% of the total amount, and the molar ratio of NH_4~＋∕NO_3^- was mostly more than 1, indicating a relatively larger effect from agricultural activities.

Numerical Simulation of CO_2 Concentrations in East Asia with RAMS-CMAQ

The regional air quality modeling system RAMS-CMAQ(Regional Atmospheric Modeling System and Models-3 Community Multi-scale Air Quality) was developed by incorporating a vegetation photosynthesis and respiration module(VPRM) and used to simulate temporal-spatial variations in atmospheric CO2 concentrations in East Asia,with prescribed surface CO2 fluxes(i.e.,fossil fuel emission,biomass burning,sea-air CO2 exchange,and terrestrial biosphere CO2 flux).Comparison of modeled CO2 mixing ratios with eight ground-based in-situ measurements demonstrated that the model was able to capture most observed CO2 temporal-spatial features.Simulated CO2 concentrations were generally in good agreement with observed concentrations.Results indicated that the accumulated impacts of anthropogenic emissions contributed more to increased CO2 concentrations in urban regions relative to remote locations.Moreover,RAMS-CMAQ analysis demonstrates that surface CO2 concentrations in East Asia are strongly influenced by terrestrial ecosystems.

这里,是潍坊

潍坊"海岱绵延,潍水奔腾",抒写着地理人文丰厚华美的精彩篇章。这片热土孕育过代代文脉、辈辈英才,也开启过物阜民丰、商贾繁荣,"文化善地·大成潍坊"精准概括出潍坊的历史底色、人文精神和地域气质,也是天南海北潍坊人求索创新、打拼奋斗的底气。

Regional Diferences in the Efect of Climate and Soil Texture on Soil Organic Carbon

The agricultural soil carbon pool plays an important role in mitigating greenhouse gas emission ana unaerstanamg the son orgamc carbon-climate-soil texture relationship is of great significance for estimating cropland soil carbon pool responses to climate change. Using data from 900 soil profiles, obtained from the Second National Soil Survey of China, we investigated the soil organic carbon （SOC） depth distribution in relation to climate and soil texture under various climate regimes of the cold northeast region （NER） and the warmer Huang-Huai-Hai region （HHHR） of China. The results demonstrated that the SOC content was higher in NER than in HHHR. For both regions, the SOC content at all soil depths had significant negative relationships with mean annual temperature （MAT）, but was related to mean annual precipitation （MAP） just at the surface 0-20 cm. The climate effect on SOC content was more pronounced in NER than in HHHR. Regional differences in the effect of soil texture on SOC content were not found. However, the dominant texture factors were different. The effect of sand content on SOC was more pronounced than that of clay content in NER. Conversely, the effect of clay on SOC was more pronounced than sand in HHHR. Climate and soil texture jointly explained the greatest SOC variability of 49.0% （0-20 cm） and 33.5% （20-30 cm） in NER and HHHR, respectively. Moreover, regional differences occurred in the importance of climate vs. soil texture in explaining SOC variability. In NER, the SOC content of the shallow layers （0-30 cm） was mainly determined by climate factor, specifically MAT, but the SOC content of the deeper soil layers （30-100 cm） was more affected by texture factor, specifically sand content. In HHHR, all the SOC variability in all soil layers was predominantly best explained by clay content. Therefore, when temperature was colder, the climate effect became stronger and this trend was restricted by soil depth. The regional differences and soil depth influence underscored the importance of explicitly considering them in modeling long-term soil responses to climate change and predicting potential soil carbon sequestration.