Implications of Land Use Changes on Carbon Dynamics and Sequestration—Evaluation from Forestry Datasets, India

Forests and soils are a major sink of carbon, and land use changes can affect the magnitude of above ground and below ground carbon stores and the net flux of carbon between the land and the atmosphere. Studies on methods for examining the future consequences of changes in patterns of land use change and carbon flux gains importance, as they provide different options for CO₂ mitigation strategies. In this study, a simulation approach combining Markov chain processes and carbon pools for forests and soils has been implemented to study the carbon flows over a period of time. Markov chains have been computed by converting the land use change and forestry data of India from 1997 to 1999 into a matrix of conditional probabilities reflecting the changes from one class at time t to another class time t+1. Results from Markov modeling suggested Indian forests as a potential sink for 0.94 Gt carbon, with an increase in dense forest area of about 75.93 Mha and decrease of about 3.4 Mha and 5.0 Mha in open and scrub forests, if similar land use changes that occurred during 1997–1999 would continue. The limiting probabilities suggested 34.27 percent as dense forest, 6.90 as open forest, 0.4 percent mangrove forest, 0.1 percent scrub and 58 percent as non-forest area. Although Indian forests are found to be a potential carbon sink, analysis of results from transition probabilities for different years till 2050 suggests that, the forests will continue to be a source of about 20.59 MtC to the atmosphere. The implications of these results in the context of increasing anthropogenic pressure on open and scrub forests and their contribution to carbon source from land use change and forestry sector are discussed. Some of the mitigation aspects to reduce greenhouse gas emissions from land use change and forestry sector in India are also reviewed in the study.     

山区高速公路挖方边坡的稳定性评价与安全防护技术

山区高速公路挖方边坡的稳定性对道路交通安全具有重要影响 ,阐述了进行挖方边坡的稳定性评价和安全防护的必要性 ,提出了评价原则、工作程序、评价方法及系列安全防护技术。得出了关于山区高速公路挖方边坡的稳定性评价和安全防护的几点认识。     

准噶尔盆地油田开发区土地沙漠化防治研究--以石西、莫北油田为例

通过对准噶尔盆地石西油田、石南油田、莫北油田等开发利用区土地沙漠化现状和特点的分析，对油田开发活动引起的水土流失进行了预测，并对产生的新的土地沙漠化现象和水土流失对油田区道路、管线、油区的影响进行了分析，提出了针对钻井井场、道路、输油气管线等的分区防治措施。     

巷道及边坡工程中的膨胀岩灾害与防治

分析了膨胀岩的胀缩机理及影响因素,总结了近几年的理论研究成果。着重论述了巷道和边坡工程中的膨胀 岩所造成的灾害形式,通过分析诱发灾害的机理,有针对性地提出了一些防治措施。     

1976年香港秀茂坪人工填土边坡滑坡灾害评析

简要介绍了1976年香港秀茂坪人工填土工程在强降雨后所发生的滑坡灾害,香港土木工程署当时根据滑坡 后的调查和试验研究,探讨了滑坡的起因,并提出了整治措施,为香港地区其它人工填土边坡的设计和施工提供了 有益的启示,也为类似滑坡的治理提供了参考依据。     

对Janbu普遍条分法计算方法的改进

Janbu普遍条分法(或称严格Janbu法)是第一个基于任意形状滑面且考虑滑体所有平衡条件的边坡稳定性计算方法。该方法存在的严重不收敛问题一直困扰着边坡理论和工程界近半个世纪。本文基于Janbu普遍条分法的基本原理和假设,重新推导出数学上更为简洁的安全系数积分表达式,指出传统计算格式不易收敛性是推力二阶导数的不合理数值误差所致,应用数值平滑技术可减少这个误差,使计算过程稳定收敛。研究表明,改进后的Janbu普遍条分法不失为理论相对严格、工程较为实用的边坡稳定性计算方法。     

新修农田土壤培肥技术试验研究

黄土丘陵区土地资源主要以坡地形式存在，近年来声势浩大的坡改梯工程使一部分山坡地变为层层梯田，水土保持率明显提高，而如何进行新生土层的土壤培肥，又是该工程的重要课题。作者对当地近几年土壤培肥技术试验进行了研究。以期提高土地资源的利用率。     

洗涤法处理含油土壤的研究

研究了用洗涤法处理含油土壤，考察了洗涤剂种类与浓度、洗涤温度、液固比、洗涤时间、表面活性剂、洗涤液直接循环使用次数对洗涤效果的影响，结果表明：当混合减浓度为10000mg／L、洗涤温度为70℃、液固比2：1、洗涤时间20min时，可将含油量为30％的土壤洗至残油率仅为0．3％左右。OP、EL型表面活性剂的加入对洗涤效果没有改善，特别有意义的是洗涤液能够直接循环使用而对洗涤效果基本无影响，这不仅能够减少用水量，还可以大大减少废水的排放量，降低操作费用及废水处理费用。该洗涤法不涉及物质的相变过程，混合碱由廉价的无机碱和无机盐组成，故能量消耗低，处理费用也低，且洗脱下来的原油可回收。     

西藏自治区土地资源的适宜性评价与利用

本文综合评价了西藏自治区土地资源的适宜性及其质量．阐明了影响土地资源潜力发挥的主要限制因素，分析了土地资源利用现状、存在问题和开发潜力。并在此基础上、提出了西藏自治区土地资源合理开发利用的方向、对策和措施。     

NATURAL EROSION RATES AND THEIR PREDICTION IN THE IDAHO BATHOLITH1

ABSTRACT: Natural rates of surface erosion on forested granitic soils in central Idaho were measured in 40 m² bordered erosion plots over a period of four years. In addition, we measured a variety of site variables, soil properties, and summer rainstorm intensities in order to relate erosion rates to site attributes. Median winter erosion rates are approximately twice summer period rates, however mean summer rates are nearly twice winter rates because of infrequent high erosion caused by summer rainstorms. Regression equation models and regression tree models were constructed to explore relationships between erosion and factors that control erosion rates. Ground cover is the single factor that has the greatest influence on erosion rates during both summer and winter periods. Rainstorm intensity (erosivity index) strongly influences summer erosion rates, even on soils with high ground cover percentages. Few summer storms were of sufficient duration and intensity to cause rilling on the plots, and the data set was too small to elucidate differences in rill vs. interrill erosion. The regression tree models are relatively less biased than the regression equations developed, and explained 70 and 84 percent of the variability in summer and winter erosion rates, respectively.