The Economic Effect of Mineral Resources Exploitation in Bijie Prefecture in Guizhou

Abstract

The exploitation of mineral resources plays an important role in promoting national economic development. Mining is an essential component of China’s industrial economy. Using grey correlation method to analyze the correlative effect of mineral resources exploitation to relevant industries, using national income method to calculate the pulling effect of mineral resources exploitation to economic growth and using graphs as well as tables to analyze the income distribution effect, the article obtains active economic effect of mineral resources development in Bijie, Guizhou. Moreover, from the view of resources-cored effect, the article analyzes negative effects such as single industrial structure brought by mineral resource development. Through analysis, we find that mineral resources exploitation to some extent brings active effects including gross domestic product growth, local financial revenue growth and relevant industries development; however, its negative effects should not be ignored. The negative effect can be lightened by diversifying industrial structure and prolonging industrial chain.     

冬奥会期间京津冀及周边区域空气质量时空特征、气象影响和减排效果评估

对比分析2015～2022年冬奥会期间(1月31日至2月20日)京津冀及周边区域44城市空气质量时空演变特征,量化同期气象、协同减排和跨区域传输对PM_2.5浓度及组分变化贡献,为不利气象条件下区域空气质量联防联控提供科学参考.结果表明,2022年44城市PM_2.5浓度为近8年农历同期最低(46μg·m^-3),优良天占比最高(83.3%),不存在重污染天.PM_2.5污染南重北轻,高值区主要集中在太行山沿线及燕山传输通道城市.2016年在春节中期未管控烟花爆竹燃放等源排放强度下,优良天占比93.5%,大气强扩散能力对空气质量改善至关重要.2022年静稳天气指数(SWI)同比增加2.1,大气扩散能力转差,44城市ρ(PM_2.5)均值和峰值同比下降14μg·m^-3和76μg·m^-3,北京减排对PM_2.5浓度降幅较未采取前增大96%,晋鲁豫地区在气象造成PM_2.5浓度上升的不利背景下,峰值下降87μg...     

Environmental and resource sustainability of Chinese cities: A review of issues,policies, practices and effects

This paper synthesizes the English literature on current issues, policies and practices, and their effects on environmental and resource sustainability in China's ongoing urbanization. Aspects of urban sustainability reviewed include air, water, solid waste, energy efficiency, transportation and land use. It shows that Chinese cities have been and probably will continue to be struggling with issues such as air pollution, scarcity of clean water, solid waste and greenhouse gas emissions. But there are many opportunities for improvement. It suggests shortages of existing policies and major gaps in knowledge and practice, which can be helpful to policy makers, planners and researchers in China and other developing countries.     

抗生素在环境中的迁移转化及生物效应研究进展

抗生素被长期大量地使用于人和动物的疾病治疗,同时作为饲料添加剂长期使用于畜牧业及水产养殖业。然而,大部分抗生素不能完全被机体吸收,大量的抗生素以原形或代谢物形式经由病人和禽畜粪尿排入环境,经不同途径进入土壤和水体,从而造成环境污染。多项研究显示在城镇废水和地表水中检测到了抗生素的存在,但关于抗生素在环境中的迁移转化及生物效应等研究资料很少。环境中的抗生素会对微生物、水生生物、土壤生物和植物等产生危害,并产生大量耐药菌,影响禽畜等的正常生长,进而对人类健康及整个生态系统构成威胁。为评估抗生素在环境中潜在的危害,本文就抗生素在环境中的迁移转化以及生物效应等多方面进行综述,并提出了今后研究的方向。     

提升高校环境教育效果的对策

本文论证了高校开展环境教育的必要性,总结了高校环境教育的现状,在分析导致高校环境教育效果差强人意的原因后,为提升高校环境教育效果,提出包括立法在内的一系列对策.     

陕西关中地区旅游流"井喷效应"的时空演变规律

旅游流"井喷现象"是特殊时段旅游流时空分布的特殊现象之一,其时空分布规律研究有助于旅游目的地的科学管理参照.选取关中地区旅游资源丰富的西安、宝鸡、华山三地作为案例,建立"黄金周"客流周内波动指数R,周内分布偏度指数G,并使用相关分析和Pearson相关系数,分析陕西关中地区特殊时段内旅游流"井喷效应"的时空演变规律.结果显示,在假日制度时间约束下,旅游流呈现"井喷现象"显著,一级旅游目的地城市的旅游资源属性、周边地区旅游资源配置和区位交通状况共同影响着游客的空间选择行为,从而影响区域旅游流的时间和空间分布.     

Deterministic approach to the study of the interaction predator-prey in a chemostat with predator mutual interference. Implications for the paradox of enrichment

Our understanding of predator-prey systems has progressed in recent decades mainly due to the ability to test models in chemostats. This study aimed to develop a deterministic model using differential equations to reproduce the dynamics of the interaction of a predator and a prey in a two stage chemostat focusing in the proposed previous prey dependent model of Fussmann et al. (2000) [Fussmann, G.F., Ellner, S.P., Shertzer, K.W., Hairston Jr., N.G., 2000. Crossing the Hopf bifurcation in a live predator-prey system. Science 290, 1358-1360]. The main problem with that model, but parameterized with the values obtained in this study (particularly the concentration of nutrient), was that the temporal trajectory of both the prey and the predator showed very high peaks that eventually led to the extinction of predator in all cases. In the same way the experimental time series obtained in this study does not exhibit the behavior predicted by the model of Fussman et al. On the contrary, as prey density increases, the system actually becomes more stable. Finally, the model that best explained the behavior of the predator and prey in the chemostat, at medium to high dilution rates, was the ratio dependent (algae-nitrogen) model with mutual interference measured in the chemostat (rotifer-alga) and that incorporated the age structure of the predator. Qualitative analysis of the dynamic behavior enabled evaluation of coexistence at equilibrium, coexistence on limit cycles, extinction of the predator or extinction of both populations.     

Forecasting population trend from the scaling pattern of occupancy

Forecasting the temporal trend of a focal species, its range expansion or retraction, provides crucial information regarding population viability. To this end, we require the accumulation of temporal records which is evidently time consuming. Progress in spatial data capturing has enabled rapid and accurate assessment of species distribution across large scales. Therefore, it would be appealing to infer the temporal trends of populations from the spatial structure of their distributions. Based on a combination of models from the fields of range dynamics, occupancy scaling and spatial autocorrelation, here I present a model for forecasting the population trend solely from its spatial distribution. Numerical tests using cellular automata confirm a positive correlation, as inferred from the model, between the temporal change in species range sizes and the exponent of the power-law scaling pattern of occupancy. The model is thus recommended for rapid estimation of species range dynamics from a single snapshot of its current distribution. Further applications in biodiversity conservation could provide a swift risk assessment, especially, for endangered and invasive species.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.