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41.
Droughts have become widespread in the Northern Hemisphere, including in China, where they have affected farmland resources on the Loess Plateau. Given this background, we proposed a new index, the Normalized Day-Night Surface Temperature Index (NTDI), to estimate moisture availability (ma), defined as the ratio of actual to reference evapotranspiration. The NTDI is defined as the ratio of the difference between the maximum daytime surface temperature and the minimum nighttime surface temperature, to the difference between the maximum and minimum surface temperatures estimated from meteorological data by applying energy balance equations.To calculate the index, we used data of 20 clear-sky meteorological observations made during the 2005 growing season at a natural grassland station in the Liudaogou River basin on the Loess Plateau. The NTDI showed a significant inverse exponential correlation with ma (R2 = 0.97, p < 0.001), whereas the numerator of the index (the maximum daytime surface temperature minus the minimum nighttime surface temperature) was only weakly correlated with ma (R2 = 0.24, p = 0.03). This result indicates that normalization relative to the index denominator (maximum surface temperature − minimum surface temperature) dramatically improved the accuracy of the estimate. 相似文献
42.
Changing climate affects vegetation growth in the arid region of the northwestern China 总被引:13,自引:0,他引:13
The northwestern China is a typical dry-land region of Inner Asia, where significant climate change has been observed over the past several decades. How the regional vegetation, particularly the grassland-oasis-desert complex, responds to such climatic change is poorly understood. To address this question, we investigated spatio-temporal changes in vegetation growth and their responses to a changing climate by biome and bioregion, using satellite-sensed Normalized Difference Vegetation Index (NDVI) data from 1982 to 2003, along with corresponding climate data. Over the past 22 years, about 30% of the total vegetated area showed an annual increase of 0.7% in growing season NDVI. This trend occurred in all biomes and all bioregions except Sawuer, a subregion of the study area with no significant climate change. Further analyses indicated that NDVI change was highly correlated with the current precipitation and evapotranspiration in growing season but was not associated with temperature. We also found that NDVI was positively correlated with the preceding winter precipitation. These findings suggest that precipitation may be the key cause of vegetation growth in this area, even for mountain forests and grasslands, whose growth are often regarded to be limited by low temperate in winter and early spring. 相似文献
43.
随着经济增长和产业结构的演变,农村劳动力与人口不断聚集城镇,城市化水平提高。相关分析表明,许昌市城市化与第二产业发展呈较强正相关,与第三产业发展无明显规律关系。因产业与企业基础现状、布局、区位、政策制度等原因,产业结构的变动对域内城市化水平的提升作用存在明显差异。集中培育发展优势第二产业、大力发展第三产业、加强教育培训、构建协调的推拉制度体系是提高许昌市城市化水平、实现城市化与产业结构演变协调发展的主要对策。 相似文献
44.
从"十一五"期间河南省各地区主要污染物排放的实际情况来看,各地区降污减排效果差距明显,环境污染的区域差异问题越来越成为影响河南省和谐社会建设和工业化进程的重要障碍。主要选取了极差、加权变异系数和锡尔熵3个指标,对河南省2006—2009年间的主要污染物排放情况进行了地区差异度分析,旨在为政府制定更加合理的节能指标和部署减排任务提供科学的决策参考。 相似文献
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以陕西潼关、大柳塔及辽宁阜新矿区为例,采用对比分析的方法研究矿产资源开发中矿山地质环境问题差异性响应的主要因素。上述3个矿区矿产资源开发中矿山地质环境问题主要包括:20世纪90年代以前,陕西潼关金矿区是中国矿产资源开发秩序十分混乱的矿区之一,地下开采的采矿废石随意堆排导致了极为严重的矿山泥石流地质灾害及其隐患,"三废"无序排放导致土壤、河水及其底泥的重金属及氰化物污染严重,严重影响人体健康;地处生态环境脆弱带的陕西大柳塔煤矿区,20年大型机械化地下煤炭资源开采导致大面积地面塌陷及其链生的地下水含水层破坏严重,但矿区土地沙漠化程度总体没有呈现加重的趋势,水土环境重金属呈轻度污染;具有百年开发历史的辽宁阜新煤矿区,露天开采使土地生态破坏严重、边坡滑坡灾害频发、土地压占与破坏突出,地下开采引起的地面塌陷对地表建筑物及人居安全影响严重,但相对于金属矿区,该矿区水土环境重金属污染相对轻得多。对比上述3个矿区矿山地质环境问题,得到其差异性响应主要因素:矿产资源种类、原生地质环境条件、开采方式及矿山环境保护意识等。 相似文献
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48.
通过问卷调查,具体分析了吉林省敦化市乡村人群对气候变化趋势和极端冷暖年的感知偏差及人群分异.发现乡村人群对气候变化趋势的感知与科学事实比较符合,由于对变暖转折年代更敏感,因而对变暖的确认度在一些时段与科学事实在变化程度或幅度上存在比较大的偏差.乡村人群对极端冷暖年不如对趋势感知的准确度高.经验积累影响乡村人群对气候变化... 相似文献
49.
东亚副热带急流与东北夏季降水异常的关系 总被引:9,自引:3,他引:6
利用东北地区88个气象站点观测的7、8月(夏季)降水量和NCEP/NCAR再分析资料,分析了东北地区夏季降水与同期东亚副热带西风急流之间的关系,发现东北地区夏季降水异常偏多年,位于青藏高原上空200 hPa西风急流中心强度偏强,东北地区上空急流轴向东北方向倾斜;东北地区夏季降水异常偏少年,青藏高原上空200 hPa西风... 相似文献
50.
Snow‐covered areas (SCAs) are the fundamental source of water for the hydrological cycle for some region. Accurate measurements of river discharge from snowmelt can help manage much needed water required for hydropower generation and irrigation purposes. This study aims to apply the snowmelt runoff model (SRM) in the Upper Indus basin by the Astore River in northern Pakistan for the years 2000 to 2006. The Shuttle Radar Topographic Mission (SRTM) data are used to generate the Digital Elevation Model (DEM) of the region. Various variables (snow cover depletion curves (SCDCs), temperature and precipitation) and parameters (degree‐day factor, recession coefficient, runoff coefficients, time lag, critical temperature and temperature lapse rate) are used as input in the SRM. However, snow cover data are direct and an important input to the SRM. Satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) are used to estimate the SCA. Normalized difference snow index (NDSI) algorithm is applied for snow cover mapping and to differentiate snow from other land features. Nash–Sutcliffe coefficient of determination (R2) and volume difference (DV) are used for quality assessment of the SRM. The results of the current research show that for the study years (2000–2006), the average value of R2 is 0·87 and average volume difference DV is 1·18%. The correlation coefficient between measured and computed runoff is 0·95. The results of the study further show that a high level of accuracy can be achieved during the snowmelt season. The simulation results endorse that the SRM in conjunction with MODIS snow cover product is very useful for water resource management in the Astore River and can be used for runoff forecasts in the Indus River basin in northern Pakistan. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献