The community vs. the market and the state: Forest use inUttarakhand in the Indian Himalayas

Most writers on resource management presume that local populations, if they act in their self-interest, seldom conserve or protect natural resources without external intervention or privatization. Using the example of forest management by villagers in the Indian Himalayas, this paper argues that rural populations can often use resources sustainably and successfully, even under assumptions of self-interested rationality. Under a set of specified social and environmental conditions, conditions that prevail in large areas of the Himalayas and may also exist in other mountain regions, community institutions are more efficient in managing resources than either private individuals or the central government. In advancing this argument, the paper undermines the often dogmatic belief in the universal superiority of private forms of ownership and management.     

Analysis of Lower Green Bay and Fox River,Collingwood Harbour,Spanish Harbour,and the Metro Toronto and Region remedial action plan (RAP) processes

This article presents a model of remedial action planning, which includes four key variables that determine progress in plan development and implementation and explain the differing level of achievement in individual sites. The model is illustrated by the characteristics and developments of four remedial action plan (RAP) processes (Lower Green Bay and Fox River, Collingwood Harbour, Spanish Harbour, and the Metro Toronto and Region RAPs). Differences in the local context of the plans have, to a significant degree, predisposed individual planning and implementation experiences. Local context includes three variables, namely geographical—technical and sociopolitical aspects and the previous history of water pollution management in the area. RAP precursors are a necessary precondition for progress in planning and substantive achievements. While there is a tendency that most geographically focused RAPs in administratively simple areas accomplish most, the motivation and political clout of RAP participants are strongly intervening factors. Resource input from upper levels of government, in particular financial commitment for plan implementation, is the fourth necessary ingredient for progress due to the RAPs' weak regulatory and institutional framework. Unfortunately, upper levels of government have shown widespread reluctance to lead in remedial action planning. This was only in part offset by local commitment and support for RAP and its cause.     

菹草的经济价值及其栽培与养鱼技术

菹草是渔业水域生态系统中的初级生产者，为渔业生产的重要自然资源之一、根据近年来的试验研究成果，本文探讨了菹草的自明、药用、饲用价值及其在渔业水域中对自然国类资原的增殖与保护作用，介绍了菹草人工栽培与养鱼的技术措施。     

地震序列的h值快速震型判别与强余震预测

用数值拟合的方法对１９６６年以来７６个ＭＬ≥５．５地震序列的衰减特性进行了较详细的研究，提出从ｈ值的逐日时间扫描和逐日累积时间扫描两个方面去把握地震序列的衰减过程并将其用于强余震（含双震）的预测和震型的快速判定。     

生活事件分析法在煤矿企业中的应用

我国煤矿一再的发生事故,绝大部分原因是人为失误.根据人为失误的发生机理,本文提出了生活事件分析方法,并研制了其配套应用程序,对某煤矿企业的人因事故危险性进行了实际评价.该方法可方便地应用于煤矿企业人为事故的预防工作中.     

有毒有害蒸气云扩散的危害估算

因事故排放形成的有毒有害蒸气云,有可能造成爆炸、火灾、中毒等危害后果,但危害后果的大小(危害程度),则与事故造成危害的时刻(延迟时间)有关。笔者在以往研究成果基础上,考虑该因素,并通过引入正态分布假设,时、空变换及误差分析,给出了估算危害程度(特别是延迟爆炸危害)的有效而简便方法,补充了以往危害估算方法(不考虑延迟时间)的不足,提高了危害后果估算精度,可广泛应用于生产安全评价、环境风险评价、风险工程设计、事故应急预案、事故应急救援等工作领域,对于保障环境安全具有显著的科学价值与现实意义。     

模糊集值统计法在煤矿安全评价指标权值中的应用

应用模糊集值统计的理论 ,对煤矿安全评价中具有随机性和模糊性的指标进行数学分析 ,进一步改进了其权值的确定方法 ,使其更加符合实际情况 ,并对由此得出的权值进行了可靠性分析。通过实例表明 ,该方法克服了经典统计法的不足 ,提高了煤矿安全评价的实用性和科学性     

中质旅游景区开发初探

中质景区是指旅游综合质量中等的景区.开发中质景区可以增加目的地供给、优化旅游目的地结构、分流优质景区客流.以四川雅安碧峰峡景区为例,在分析该类型景区优劣势的基础上,对其在旅游项目设计、资金筹措、客源市场、产品设计、市场营销等方面提出了对策.同时指出,我国中质旅游景区开发中存在着资源价值评价不准确、资源破坏严重等误区,以期在旅游实践中提高中质旅游景区的开发质量.     

NITROGEN AND ORGANIC MATTER LOSSES IN NO‐TILL CORN CROPPING SYSTEMS1

ABSTRACT: Intensive cropping systems based on mechanical movement of soil have induced land degradation in most agricultural areas due to soil erosion and soil fertility losses. Thus, farmers have been increasing fertilization rates to maintain an economically competitive crop yield. This practice has resulted in water quality degradation and lake eutrophication in many agricultural watersheds. Research was conducted in the Patzcuaro watershed in central Mexico to develop appropriate technology that prevents nonpoint source pollution from fertilizers. Organic matter (OM) and nitrogen (N) losses in runoff and nitrate (NO₃‐N) percolation in Andisols with corn under conventional till (CT) and no‐till (NT) treatments using variable percentages of crop residue as soil cover were investigated for steep‐slope agriculture. USLE type runoff plots were used to collect water runoff, while suction tubes with porous caps at 30, 60, and 90 cm depth were used to sample soil water solutes for NO₃‐N analyses. Results indicated a significant reduction of N and OM losses in runoff as residue cover increased in the NT treatments. Inorganic N in runoff was 25 kg/ha for NT without residue cover (NT‐0) and 6 kg/ha for the NT with 100 percent residue cover (NT‐100). Organic matter losses in runoff were 157 and 24 kg/ha for the NT‐0 and NT‐100 treatments, respectively. Nitrate‐N percolation was evident in CT and NT with 100 percent residue cover (NT‐100). However, NT‐100 had higher NO₃‐N concentration at the root zone, suggesting the possibility of reducing fertilization rates with the use of NT treatments.     

MODELING THE IMPACT OF MULTICOMPONENT VOCs ON GROUND WATER USING THE STEFAN‐MAXWELL EQUATION1

ABSTRACT: Computer programs that model the fate and transport of organic contaminants through porous media typically use Fick's first law to calculate vapor phase diffusion. Fick's first law, however, is limited to the case of a single, dilute species diffusing into a stagnant, high concentration, bulk vapor phase. When dealing with more than one diffusing species and at higher concentrations, the multicomponent coupling effects on vapor phase diffusion and advection of the various constituents become significant. VLEACH, a one‐dimensional finite difference model developed for the U.S. Environmental Protection Agency (USEPA), is typical of the models using Fick's first law to model vapor‐phase diffusion. The VLEACH model was modified to accommodate up to 10 components and to calculate the binary diffusion coefficients for each of the components based on molecular weight, molecular volume, temperature and pressure, and to address the coupling effects on multiple component vapor phase diffusion and its impact on ground water. The resulting model was renamed MC‐CHEMSOIL. At low vapor phase concentrations, MC‐CHEMSOIL predicts identical ground water impacts (dissolved phase loading) to those from VLEACH 2.2a. At higher vapor phase concentrations, however, the relative difference between the models exceeded 20 percent.