气候变化和人类活动对武江流域年径流及最大日流量影响的定量分析

针对气候变化与人类活动对流域年径流及最大日流量变化影响的定量识别问题,以华南湿润区武江流域为例,分别采用HIMS（Hydro-Informatic Modeling System）模型和敏感性系数法,从日和年尺度定量模拟和评估气候变化与人类活动对流域年最大日流量和径流变化的影响过程及贡献率。结果表明：HIMS模型在武江流域适用性良好,日尺度模型率定期和验证期的纳西效率系数分别为0.85和0.77,水量平衡误差绝对值分别为3.1%和3.3%;两种方法均表明气候变化是引起流域年径流量增加的主要因素,人类活动导致了流域径流量的减少,但贡献率较小。气候变化与人类活动导致了流域年最大日流量的增加,气候变化对年最大日流量增加的贡献率为94%,而人类活动的贡献率则为6%。相较于年均径流量,气候变化对年最大日流量的影响更为显著。     

A Variance Estimator for Constrained Estimates of Change in Relative Categorical Frequencies

Consistent estimators of change and state becomes an issue when sample data come from a mix of permanent and temporary observation units. A joint maximum likelihood estimator of state and change creates estimates of state that depend on antecedent viz. posterior survey results and may differ from estimates of state derived from a single-date analysis of the sample data. A constrained estimator of change in relative categorical frequencies that eliminates this potential inconsistency is proposed and a model based estimator of their sampling variance is developed. The performance of the constrained estimator is quantified against six criteria and a joint maximum likelihood estimator in simulated sampling from 15 populations with three combinations of permanent and temporary samples, four to six categorical class attributes, and constant size between sampling dates. Bias of the constrained estimators was negligible but larger than for joint maximum likelihood estimators. Mean absolute deviations and variances of constrained estimators were generally at par with the joint estimators. Constrained estimators of root mean square errors and achieved coverage of nominal confidence intervals of constrained estimators were occasionally better. A generalized variance function for the constrained estimates of change is provided as a computational shortcut.     

Economic development and environmental protection: an ecological economics perspective

This paper argues on both theoretical and empirical grounds that, beyond a certain point, there is an unavoidable conflictbetween economic development (generally taken to mean 'materialeconomic growth') and environmental protection. Think for a moment of natural forests, grasslands, marine estuaries, salt marshes, and coral reefs; and of arable soils, aquifers, mineraldeposits, petroleum, and coal. These are all forms of 'natural capital' that represent highly-ordered self-producing ecosystemsor rich accumulations of energy/matter with high use potential (low entropy). Now contemplate despoiled landscapes, eroding farmlands, depleted fisheries, anthropogenic greenhouse gases,acid rain, poisonous mine tailings and toxic synthetic compounds.These all represent disordered systems or degraded forms of energy and matter with little use potential (high entropy). The main thing connecting these two states is human economic activity. Ecological economics interprets the environment-economyrelationship in terms of the second law of thermodynamics. The second law sees economic activity as a dissipative process. Fromthis perspective, the production of economic goods andservices invariably requires the consumption of available energy and matter. To grow and develop, the economynecessarily 'feeds' on sources of high-quality energy/matter first produced by nature. This tends to disorder and homogenizethe ecosphere, The ascendance of humankind has consistently been accompanied by an accelerating rate of ecological degradation, particularly biodiversity loss, the simplificationof natural systems and pollution. In short, contemporary political rhetoric to the contrary, the prevailing growth-oriented global development paradigm is fundamentally incompatible with long-term ecological and social sustainability. Unsustainability is not a technical nor economic problem as usually conceived, but rather a state of systemic incompatibilitybetween a economy that is a fully-contained, growing, dependent sub-system of a non-growing ecosphere. Potential solutions fly inthe face of contemporary development trends and cultural values.     

Monitoring of Butter and Ghee (Clarified Butter Fat) for Pesticidal Contamination from Cotton Belt of Haryana, India

Butter (45) and ghee (55) samples were collected from rural and urban areas of cotton growing belt of Haryana and analysed for detecting the residues of organochlorine, synthetic pyrethroid and organophosphate insecticides. The estimation was carried out by using multi residue analytical technique employing GC-ECD and GC-NPD systems equipped with capillary columns. Butter samples were comparatively more contaminated (97%) than ghee (94%), showing more contamination with organochlorine insecticides from urban samples. About 11% samples of butter showed endosulfan residues above MRL value and 2% samples had residues of synthetic pyrethroids and organophosphates each above their respective MRL values. In ghee, residues of HCH & DDT both and of endosulfan exceeded the MRL values in 5 and 20% samples, respectively. Among organophosphates, only chlorpyriphos was detected with 9% samples showing its residue above MRL value. Irrespective of contamination levels, residues above the MRL values were more in ghee. More extensive study covering other agricultural regions/zones of Haryana has been suggested to know the overall scenario of contamination of milk products.     

Monitoring of Seasonal Vegetables for Pesticide Residues

Market samples (60) of six seasonal vegetables were monitoredduring 1996–1997 to determine the magnitude of pesticidalcontamination. The estimation of insecticide residuesrepresenting four major chemical groups i.e. organochlorine,organophosphorous, synthetic pyrethroid and carbamate, was doneby adopting a multiresidue analytical technique employingGC-ECD and GC-NPD systems with capillary columns. The testedsamples showed 100% contamination with low but measurableamounts of residues. Among the four chemical groups, theorganophosphates were dominant followed by organochlorines,synthetic pyrethroids and carbamates. About 23% of the samplesshowed contamination with organophosphorous compounds abovetheir respective MRL values. More extensive studies coveringdifferent regions of Haryana state are suggested to get a clearidea of the magnitude of vegetable contamination with pesticideresidues.     

土壤环境容量数学模型——Ⅰ.土壤污染动力学模型

应用物质平衡原理,导出模拟土壤污染过程的动力学方程.可用于估算土壤环境容量、分析土壤污染动态和预测土壤超容年限.以测定残留率为基础的一类模型是本文提出的模型的一个特例.     

我国土地资源利用的几个战略问题

我国人均资源占有量远低于世界水平,资源供应日益紧缺,并将成为经济发展的一个重要的约束条件。从土地资源的潜力来看,我国土地理论的最高人口承载量可能是15—16亿人,并在相当长的时期内将处于临界状态。关键在于控制人口的增长和在农业方面采取超常规的增产措施,特别是大幅度增加农业投入。我国土地生产潜力东部大于西部,粮食生产的重点应放在中部地带。20亿亩耕地是我国国土资源的精华所在,种植业的主攻方向应放在中产田,并大力加强我国九片商品粮基地的建设。林业建设的战略重点应尽快转向山区。牧业应发展饲料生产,开辟新的饲料基地。从总体看,应强调发展资源节约型的农业,以内涵挖潜为主,向生产的深度和广度进军。     

河西走廊灌溉农业发展的水资源承载能力分析

论文采用模糊综合评判方法,对河西走廊灌溉农业发展的水资源承载能力进行了分析,建立了评价的数学模型。研究表明,该区水资源开发利用已近于其饱和容量,发展节水灌溉,充分提高水的利用效率,是保障和发展干旱区农业的根本出路。     

均质滤料过滤截污模型研究

对均质滤料过滤进行了分析，采用毛细管模型研究过滤水流，给出毛细管中剪切应力的分布，通过毛细管中颗粒物的受力分析，求得颗粒与毛细管壁间的物理化学作用力。对颗粒在毛细管在毛细管中运动的受力平衡进行分析简化，得到了截污饮和时滤床中孔隙率的计算公式，由此可以计算出均质滤床的最大截污能力，即：清洁滤床的孔隙率与孢和孔隙率之差乘以滤床的体积。     

淮北煤中12种有害微量元素在煤及其灰中的分布特征

为了解有害微量元素在各煤层中的分布与变化规律,以及在煤燃烧后的煤灰中所发生的迁移与富集情况,采集了淮北煤田不同煤层、不同深度的15个煤样,采用中子活化法对其原煤及灰分中的12 种微量元素(Ag, As,Ba, Co, Cr, Cu, Mn, Mo, Sb, Th, U, V)进行了测试。结果显示:绝大部分有害微量元素的含量都处于n×10 6到n×10 5数量级范围内,不同煤层或同一煤层不同部位中微量元素的含量分布不同;与全国和华北煤中有害微量元素的(平均)含量相比,除Mn低于全国和华北的平均值外,As、Co、Mo、Sb、Th、U与之相近,而Ag、Ba、Cr、Cu、V高于全国和华北煤中的平均值;12种微量元素均在灰分中有所富集,而且富集能力序列为:Cu>Cr>Mn>Mo>Co>Ba>V>Th>As>U>Sb。