甘孜州天然林禁伐的影响与区域持续发展对策

森林采伐向来是甘孜州经济的重大支柱，对地方财政收入的贡献率达58．63％（1997年）。天然林禁伐影响巨大而广泛，既使经济产出与财政收入锐减，又导致一系列相关 产业萎缩，劳动就业压力增大，研究指出，选择新经济增长点与生长点产业大力加以培育发展迫在眉睫。其中，以加大财政转移支付力度加强基础设施建设、加强绿色产品与绿色食品发展以及天然药物开发，大力发展旅游业和流通产业等应是正确选择。     

海南省三亚市的生态环境建设

三亚市位于海南岛最南部，具有得天独厚的生态环境优势。近20年来，生态环境建设虽取得初步成效，但问题也较突出，如林业尚存隐患，耕地锐减，水域受蚕食和局部环境恶化，城市绿化美化不足等。生态环境建设面临的任务主要是：合理布局城镇，建设具有经济－生态良性循环的城乡体系；完善林业生态体系建设，建成强有力的陆地生态支柱；保护好水体环境，搞好碧水工程建设；保护耕地、保证农业持续发展；整治环境，提高环境质量。为此必须采取相应措施。     

川西北地区经济林资源评价及其发展对策

研究表明，川西北地区自然环境复杂，生态类型多样，河谷及部分山地发展经济林木具有环境适宜、类型丰富、消费市场大、土地资源相对充裕等优越条件，但发展缓慢．为发挥资源优势与潜力，从农业结构、管理体制、科学技术等探讨了制约因素，提出了发展对策．     

三维绿色生物量的遥感模式研究与绿化环境效益估算

本文从理论和技术上叙述了绿量的遥感模式研究和绿化环境效益估算，并取得了以下几个方面的进展：（１）提出了绿量的概念，进一步完善了城市绿化的量化指标体系；（２）成功地修正了“逻辑斯蒂曲线”方程，并以平面量模拟立体量的方法测算了上海市全市的绿量，不仅节省了人力物力，而且提高了精度；（３）提出了模式林的概念及测定了以绿量估算绿化环境效益中所必须的标准换算量；（４）首次用绿量在全市范围估算了绿化群落的吸碳产氧、吸收二氧化硫、滞尘及夏季降温等环境效益。为分析现有绿化群落布局与结构的合理性，及为绿化规划乃至整个城市的总体规划提供了很有价值的技术参数。     

Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method

ABSTRACT

The predictive capability of a new artificial intelligence method, random subspace (RS), for the prediction of suspended sediment load in rivers was compared with commonly used methods: random forest (RF) and two support vector machine (SVM) models using a radial basis function kernel (SVM-RBF) and a normalized polynomial kernel (SVM-NPK). Using river discharge, rainfall and river stage data from the Haraz River, Iran, the results revealed: (a) the RS model provided a superior predictive accuracy (NSE = 0.83) to SVM-RBF (NSE = 0.80), SVM-NPK (NSE = 0.78) and RF (NSE = 0.68), corresponding to very good, good, satisfactory and unsatisfactory accuracies in load prediction; (b) the RBF kernel outperformed the NPK kernel; (c) the predictive capability was most sensitive to gamma and epsilon in SVM models, maximum depth of a tree and the number of features in RF models, classifier type, number of trees and subspace size in RS models; and (d) suspended sediment loads were most closely correlated with river discharge (PCC = 0.76). Overall, the results show that RS models have great potential in data poor watersheds, such as that studied here, to produce strong predictions of suspended load based on monthly records of river discharge, rainfall depth and river stage alone.     

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique

ABSTRACT

The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random forest (RF) optimized by the SVR is proposed to interpolate the daily maximum air temperature (T_max) during summertime in a mega urban area. A total of 10 geographic variables, including the clear-sky averaged land surface temperature and the normalized difference vegetation index, were used as input variables. The stacking model was compared to Cokriging, three individual data-driven methods, and a simple average ensemble model, all through leave-one-station-out cross validation. The stacking model showed the best performance by improving the generalizability of the individual models and mitigating the sensitivity to the extreme daily T_max. This study demonstrates that the stacking ensemble method can improve the accuracy of spatial interpolation of environmental variables in various research fields.     

陆表植被碳汇计量管理平台设计与实现

为了实现陆表植被碳汇量精准计测和森林资源的可持续发展,本文采用C#面向对象高级程序设计语言,利用组件式GIS技术和第三方UI控件进行开发,建立了一套现代化、信息化的管理平台。该平台实现了GIS基础操作、森林基础数表、森林资源二类调查、森林观测数据后处理和森林经营辅助决策五大功能模块,构建了较为系统的陆表植被碳汇计量管理基础业务体系。满足了森林资源管理和经营的需要,实现了对森林资源一体化经营和管理。     

断陷湖盆隐蔽油藏预测及勘探的关键技术--高精度地震探测基础上的层序地层学研究

近十余年世界的我国隐蔽油藏勘探取得了巨大进展,其关键技术是高精度的三维地震及在此基础上的层序地层学研究,二者的结合已被油气产业部门当作勘探中的“权威性技术”。断陷湖盆在我国东部含油气资源的重要性居首位,控制层序形成演化的诸因素中,构造,古气候和在区域古地理格局中的位置对湖盆的类型和演化起着决定作用,需要按照断陷湖盆的沉积构造演化特征建立有预测功能的层序构成模式,在成熟的勘探区,重新建立等时层序地层格架,进行体系域精度的工业制图,阐明沉积体系的分布规律,使用高精度地球物理技术对圈闭定位,并对构造坡折带和低位域扇体给予重点注意,用这种技术方法指导隐蔽油气藏的勘探,已经并必将有许多重要发现。     

Seasonal and annual variation of CO_2 flux above a broad-leaved Korean pine mixed forest

Long-term measurement of carbon metabolism of old-growth forests is critical to predict their behaviors and to reduce the uncertainties of carbon accounting under changing climate. Eddy covariance technology was applied to investigate the long-term carbon exchange over a 200 year-old Chinese broad-leaved Korean pine mixed forest in the Changbai Mountains (128°28'E and 42°24'N, Jilin Province, P. R. China) since August 2002. On the data obtained with open-path eddy covariance system and CO2 profile measurement system from Jan. 2003 to Dec. 2004, this paper reports (i) annual and seasonal variation of FNEE, FGPP and Re; (ii) regulation of environmental factors on phase and amplitude of ecosystem CO2 uptake and release Corrections due to storage and friction velocity were applied to the eddy carbon flux. Lal and soil temperature determined the seasonal and annual dynamics of FGPP and RE separately. VPD and air temperature regulated ecosystem photosynthesis at finer scales in growing seasons. Water condition at the root zone exerted a significant influence on ecosystem maintenance carbon metabolism of this forest in winter. The forest was a net sink of atmospheric CO2 and sequestered -449 g C·m-2 during the study period; -278 and -171 gC·m-2 for 2003 and 2004 respectively. FGPP and FRE over 2003 and 2004 were -1332, -1294 g C·m-2. and 1054, 1124 g C·m-2 respectively. This study shows that old-growth forest can be a strong net carbon sink of atmospheric CO2. There was significant seasonal and annual variation in carbon metabolism. In winter, there was weak photosynthesis while the ecosystem emitted CO2. Carbon exchanges were active in spring and fall but contributed little to carbon sequestration on an annual scale. The summer is the most significant season as far as ecosystem carbon balance is concerned. The 90 days of summer contributed 66.9, 68.9% of FGPp, and 60.4, 62.1% of RE of the entire year.     

基于掌上电脑的智能林火标绘仪的设计与实现

本系统是利用掌上电脑的屏幕触控技术,开发智能标绘功能,使防火工作人员在发现着火点的同时依据导航信息快速地在电子地图上标绘火头、火线的位置,撰写火情报告并输出态势图,然后通过无线上网功能,实时将标绘的信息传送给防火指挥中心,为指挥中心及时做出扑火决策提供支持。