Ozone Production Efficiency in Savanna and Forested Areas during the EXPRESSO Experiment

NO, NO_x, NO_y and O₃ have been measuredduring the airborne EXPRESSO experiment, November 96,which took place near Bangui (Central Africa) at thebeginning of the dry season. This period correspondsto an intense burning activity. Chemical andphotochemical characteristics of the planetaryboundary layer, which corresponds most of the time tothe monsoon layer, and the Harmattan layer, which issituated above the latter, have been studied forsavanna as well as rain forest areas. These two layersare very different when considering the chemicalcomposition (especially for ozone and NO_z) andthe photochemical age.The relationship of photochemical ozone productionversus photochemical NO_x oxidation products hasbeen investigated. Results indicate an ozoneproduction efficiency (OPE) ranging from 6.3 to 14.8in the planetary boundary layer. Thus, this layer ischaracteristic of a photochemically young and activeair mass. In this layer, the ozone potentialproduction increases with the air mass photochemicalage. On the other hand, the Harmattan layer shows anOPE ranging from 4.6 to 7.4. These values arecharacteristic of photochemically well-aged airmasses. In this layer, the ozone potential productionseems to be exhausted with values around 4.0 (i.e., 4ozone molecules produced for each NO_x moleculeemitted).     

生态区评价研究的兴起与发展——以美国森林生态系统管理评价(FEMAT)研究为例

生态区评价是近年来出现在美国的一种新型区域生态系统管理方法的理论与实践科学研究,起始于美国总统森林会议(1993)后成立的森林生态系统管理评价组(FEMAT),目标是实现地区生态系统的科学管理.本文评介了生态区评价首项案例--美国西北太平洋沿岸区原始森林及其他各类森林经营管理方案的生态、经济、社会影响综合评价的科学与方法实践意义.指出FEMAT的生态区评价:1)迈出了生态区评价历史上坚实的第一步,实现了区域土地利用规划与生态系统管理方案从以行政疆域为准划分向以生态区域为准划定边界的转变;2)方案优化过程充分考虑区域生态、经济、社会的历史、现状与未来趋势等各方面,将科学、政策、管理融为一体,使之易于在实践中贯彻;3)促进了不同政府机构和利益团体间为实现资源开发与生态保育双重目标而共同协作.     

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。     

社会信息化、经济全球化与世界地理研究的全息景观化—以韩国地理的全息景观研究为例

知识经济与传统的农业经济和工业经济显著不同，由它推动着的社会信息化及经济全球化所带来的地理发展效应，无论是在发展因素的加入上，还是在地域的建造上都愈来愈向着全息化的方向发展。与之相应，世界地理的研究范式，也应该向着更为开放、更为兼容化的方向改进。为此笔者提出全息景观论，并以韩国为例，以展示这种理论的科学解释价值。     

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。     

Planning issues in the territorial integration of the Korean peninsula

The historic summit between the leaders of the two Koreas in June 2000 provided a new opportunity for inter-Korean dialogue. Despite many uncertainties regarding the form and substance of inter-Korean economic cooperation, Korean people believe that inter-Korean economic cooperation will expand and eventually lead to economic and territorial integration of the two Koreas. This essay discusses the progress and issues of inter-Korean economic cooperation including infrastructure development. In particular, the essay examines long-term planning issues surrounding the territorial integration of the Korean peninsula and their implications for balanced development. With the German case of economic integration as a point of reference, the essay points out a few strategic problems involved in inter-Korean economic cooperation and suggests an alternative strategy to achieve balanced development.     

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.