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51.
为解决高海拔排土场边坡安全稳定性监测中常规监测仪器布置和人员值守的高投入、高风险问题,分析西藏山南桑日县某排土场边坡25景Sentinel-1A数据,利用短基线集合成孔径雷达干涉测量(SBAS-InSAR)技术监测终了排土场边坡从2018年11月4日-2020年12月23日期间的地表形变,采用基线估计状态空间模型、自适... 相似文献
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贵州喀斯特地区不同土地利用方式土壤CO_2体积分数变化及影响因素 总被引:1,自引:0,他引:1
为了解不同土地利用方式对土壤剖面CO2体积分数的影响,采用气相色谱法对贵州喀斯特地区土壤不同深度空气CO2体积分数进行观测。结果表明:不同土地利用对土壤平均CO2体积分数影响较大,其次序为:次生林(0.35%±0.06%)〉草地(0.34%±0.05%)〉人工林(0.27%±0.03%)〉农田(0.16%±0.03%)。次生林、草地与农田之间土壤CO2体积分数差异性显著,而人工林与农田之间无显著性差异。不同土地利用方式土壤剖面CO2体积分数的时空变化特征比较一致:从春季到夏季逐渐增加而从秋季到冬季又逐渐降低,与该区域的温度和降雨量变化趋势一致。同时随着土壤剖面深度增加CO2体积分数逐渐增大,但在土层12 cm处有突然降低现象(农田除外)。不同土地利用方式土壤空气CO2体积分数变化与大气、土壤温度密切相关(r=0.602~0.886,P〈0.05),土壤温度升高会导致土壤CO2体积分数上升。土壤湿度虽然也在一定程度上影响了剖面CO2体积分数,但相关性分析表明二者之间并不显著(r=0.105~0.393,P〉0.05),说明在贵州喀斯特地区,土壤温度对土壤空气CO2体积分数的影响大于土壤湿度。 相似文献
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BRIAN CZECH 《Conservation biology》2008,22(6):1389-1398
Abstract: The conflict between economic growth and biodiversity conservation is understood in portions of academia and sometimes acknowledged in political circles. Nevertheless, there is not a unified response. In political and policy circles, the environmental Kuznets curve (EKC) is posited to solve the conflict between economic growth and environmental protection. In academia, however, the EKC has been deemed fallacious in macroeconomic scenarios and largely irrelevant to biodiversity. A more compelling response to the conflict is that it may be resolved with technological progress. Herein I review the conflict between economic growth and biodiversity conservation in the absence of technological progress, explore the prospects for technological progress to reconcile that conflict, and provide linguistic suggestions for describing the relationships among economic growth, technological progress, and biodiversity conservation. The conflict between economic growth and biodiversity conservation is based on the first two laws of thermodynamics and principles of ecology such as trophic levels and competitive exclusion. In this biophysical context, the human economy grows at the competitive exclusion of nonhuman species in the aggregate. Reconciling the conflict via technological progress has not occurred and is infeasible because of the tight linkage between technological progress and economic growth at current levels of technology. Surplus production in existing economic sectors is required for conducting the research and development necessary for bringing new technologies to market. Technological regimes also reflect macroeconomic goals, and if the goal is economic growth, reconciliatory technologies are less likely to be developed. As the economy grows, the loss of biodiversity may be partly mitigated with end‐use innovation that increases technical efficiency, but this type of technological progress requires policies that are unlikely if the conflict between economic growth and biodiversity conservation (and other aspects of environmental protection) is not acknowledged. 相似文献
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选择内蒙古河套灌区强度盐碱土壤S1[电导率(EC)2.60dS/m]和轻度盐碱土壤S2[电导率(EC) 0.74dS/m]为研究对象,2014~2016年,利用静态箱法3年野外原位观测试验,研究盐碱土壤氧化亚氮(N2O)排放通量.结果表明:2种不同盐碱程度土壤N2O排放每年均存在显著差异,轻度盐碱土壤N2O累积排放量低;随EC升高,土壤盐碱程度加重,土壤N2O累积排放量升高.2014~2016年作物生长季(4~11月)轻度盐碱土壤N2O累积排放量分别为180.6,167.6,118.2mg/m2;强度盐碱土壤N2O累积排放量比轻度盐碱土壤分别增加19%、26%和45%,修复盐碱土壤成为减缓盐碱土壤N2O累积排放的重要农艺措施. 相似文献
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利用主动观测技术对宁东能源化工基地大气PM2.5、PM1.0和气相中的PAHs浓度水平、族谱特征、时空分布及来源进行研究,并基于该观测数据对居民呼吸暴露健康风险进行评估.结果表明,宁东基地大气PM2.5、PM1.0及气相中∑16PAHs浓度范围分别为:17.95~325.12ng/m3、12.66~311.96ng/m3和26.33~97.88ng/m3,年均浓度分别为(99.42±117.48)ng/m3、(78.88±100.58)ng/m3和(57.89±47.39)ng/m3.宝丰基地冬夏季大气PM2.5、PM1.0和气相中∑16PAHs浓度水平均明显高于英力特;宝丰和英力特基地冬季大气PM2.5、PM1.0中∑16PAHs浓度水平均明显高于夏季浓度.宁东基地大气中∑16PAHs的浓度水平要高于国内外其他城市,大气PAHs污染较为严重.源解析表明夏季宁东基地PAHs的主要排放源是工业煤燃烧和机动车尾气,冬季则主要来自工业煤燃烧和木材、薪柴等生物质燃烧排放.宁东基地人群暴露于大气PAHs可能会造成平均冬季每百万人中约有33~2628人罹患癌症,夏季每百万人中约有11~834人罹患癌症的风险. 相似文献
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Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing 总被引:1,自引:0,他引:1
Armen R. Kemanian Stefan Julich Valipuram S. ManoranjanJeffrey R. Arnold 《Ecological modelling》2011,222(12):1913-1921
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 (SC) algorithm, in which the decomposition rate of SC and input rate to SC (through decomposition and humification of residues) depend on the current size of SC. 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 (Sx) that depends on texture and controls the turnover rate. It is shown in an analytical solution that Sx 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 SC 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 SC 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. 相似文献
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不同尺度下耕地土壤Cr含量的空间自相关性分析 总被引:5,自引:0,他引:5
以山东省禹城市耕地土壤重金属铬(Cr)元素为例,采用Moran’s I统计量对县级和镇级两个不同取样尺度下Cr含量的空间自相关关系、空间相关尺度和空间分布规律进行了对比研究.结果表明:1)随着研究尺度的增大,Cr含量的变异系数增加,块基比(C0/Sill)减小,空间结构性增强;2)两个尺度下Cr含量Moran’s I指数都大于0,表明研究区内两个尺度下的Cr含量都存在空间正自相关,且Moran’s I指数随着研究尺度的增加而增大;3)Lisa聚类图表明,两个尺度下Cr含量都存在空间聚集区和空间孤立区,其中"高—高"空间聚集和"低—高"空间孤立区域存在潜在Cr污染风险.研究表明小尺度下能够观察到大尺度下观察不到的细微差别,研究可为土壤重金属环境质量评价和重金属污染防治提供重要参考.图4表2参23 相似文献