2000—2014年甘肃省NDVI时空变化特征

基于甘肃省2000—2014年MODIS-NDVI遥感数据及气象数据,采用趋势分析法及相关分析法,对甘肃省归一化植被指数(NDVI)的时空变化特征进行研究,探讨了植被变化对区域气候变化的响应。结果表明:近15年,生长季及春、夏、秋季NDVI均呈增加趋势。区域尺度上,夏季NDVI增加趋势最显著,增速为0.071/10a(P<0.01);像元尺度上,生长季NDVI呈增加趋势的面积最大,呈极显著增加(P<0.01)和显著增加(0.01相似文献   

Spatial and temporal variation of the urban impervious surface and its driving forces in the central city of Harbin

Associated with the rapid economic development of China, the level of urbanization is becoming a serious concern. Harbin, the capital city of Heilongjiang Province, China and one of the political, economic, cultural, and transportation centers of the northeastern region of China, has experienced rapid urbanization recently. To examine the spatial patterns of long-term urbanization and explore its driving forces, we employed the impervious surface fraction derived from remote sensing image as a primary indicator. Specifically, urban impervious surface information for the central city of Harbin in 1984, 1993, 2002, and 2010 was extracted from Landsat Thematic Mapper image using a Linear Spectral Mixture Analysis (LMSA). Then, the spatial and temporal variation characteristics and the driving factors of percent impervious surface area (ISA) changes were analyzed throughout this 26-year period (1984 to 2010). Analysis of results suggests that: (1) ISAs in the central city of Harbin constantly increased, particularly from 1993 to 2010, a rapid urbanization period; (2) the gravity center of impervious surface area in the central city was located in Nangang District in 1984, moving southeast from 1984 to 1993, northwest from 1993 to 2002, and continuing toward the southeast from 2002 to 2010; and (3) the urban growth of the central city can be characterized as edge-type growth.     

Unraveling enhanced membrane lipid biosynthesis in Chlamydomonas reinhardtii starchless mutant sta6 by using an electrospray ionization mass spectrometry-based lipidomics method

The unicellular green alga Chlamydomonas reinhardtii, a well-established model organism, has been widely used in dissecting glycerolipid metabolism in oxygenating photosynthetic organisms. In previous studies, it has been found that shunting carbon precursors from the starch synthesis pathway can lead to a 10-fold increase in TAG content as compared to the wild type, but it is unknown whether inactivation of AGPase may affect membrane lipids biosynthesis. The study aims to investigate global changes in lipid metabolism and homeostasis in the starchless mutant C. reinhardtii sta6. By utilizing an electrospray ionization/mass spectrometry (ESI/MS)-based lipidomics approach, a total of 105 membrane lipid molecules of C. reinhardtii were resolved, including 16 monogalactosyldiacylglycerol (MGDG), 16 digalactosyldiacylglycerol (DGDG), 11 phosphatidylglycerol (PG), 6 sulfoquinovosyldiacylglycerol (SQDG), 49 diacylglyceryl-N,N,N-trimethylhomoserine (DGTS), 2 phosphatidylethanolamine (PE), and 5 phosphatidylinositol (PI) molecules. The quantitative results indicated that the membrane lipid profiles were similar between the two C. reinhardtii strains grown under both low- and high-light conditions, but the cellular contents of a great number of lipids were altered in sta6 due to the defect in starch biosynthesis. Under low-light conditions, sta6 accumulated more PI, MGDG, DGDG but less amounts of DGTS as compared to WT. Under high light, sta6 cells contained higher content membrane lipids than cc-124, except for PG, which is more or less similar in both strains. Our results demonstrate that the cellular membrane lipid homeostasis underwent profound changes in the starchless mutant, and thereby its physiological impact remains to be explored.     

Challenge of vegetation greening on water resources sustainability: Insights from a modeling‐based analysis in Northwest China

Forest restoration policies are often implemented without the assessment of their full environmental impact. In this study, we investigated the challenges of vegetation greening resulted from forest restoration on water resource sustainability, using a model‐based simulation in northwestern China. Four different vegetation scenarios and 25 future climate scenarios were employed using the Soil and Water Assessment Tool model. Results suggest that (a) the mean annual evapotranspiration changes from only 7.2% in the barren case to 100% in the forest case; however, it produced a 35.2% reduction in average annual streamflow and a 157% increase in soil water storage. The upstream vegetation greening caused the enhancement of water retention, while also creating great challenges for future downstream water resource sustainability; (b) seasonal effect was significant in that 100% forest case increased evapotranspiration (+40%) but it also reduced the streamflow (?73%) compared to the barren case in growing season, which may exacerbate spring and summer drought; (c) changes of evapotranspiration and streamflow were only 0.3% and ?0.9% at T + 3.9 °C when compared to the historic scenario in barren cases, while for all forest cases, variations were 3% and ?21.8%, respectively; (d) vegetation greening induced more remarkable changes in hydrological components than those resulting from climate change. Our “what if” research provides new insights for promoting sustainable management of water resources and ecosystems in mountainous water source areas.     

Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of China

Observed rainfall and flow data from the Dongjiang River basin in humid southern China were used to investigate runoff changes during low‐flow and flooding periods and in annual flows over the past 45 years. We first applied the non‐parametric Mann–Kendall rank statistic method to analyze the change trend in precipitation, surface runoff and pan evaporation in those three periods. Findings showed that only the surface runoff in the low‐flow period increased significantly, which was due to a combination of increased precipitation and decreased pan evaporation. The Pettitt–Mann–Whitney statistical test results showed that 1973 and 1978 were the change points for the low‐flow period runoff in the Boluo sub‐catchment and in the Qilinzui sub‐catchment, respectively. Most importantly, we have developed a framework to separate the effects of climate change and human activities on the changes in surface runoff based on the back‐propagation artificial neural network (BP‐ANN) method from this research. Analyses from this study indicated that climate variabilities such as changes in precipitation and evaporation, and human activities such as reservoir operations, each accounted for about 50% of the runoff change in the low‐flow period in the study basin. Copyright © 2010 John Wiley & Sons, Ltd.     

基于遗传神经网络的克钦湖叶绿素反演研究

叶绿素a浓度能够在一定程度上反映内陆湖泊水质情况。为实现对克钦湖水体叶绿素a浓度的监测,于2010年8月15日对克钦湖进行了现场光谱测量和同步采样。通过分析叶绿素a浓度和光谱数据之间的关系,建立基于反射比、人工神经网络和遗传神经网络的叶绿素a浓度估测模型。结果表明:利用R700nm/R670nm反射比建立的模型估测精度为R2=0.67;人工神经网络模型的估测精度较高,R2=0.882;将遗传算法引入神经网络之后,模型的估测精度进一步提高,R2达到0.956,将模型预测的结果与克里格内插法相结合对研究区的叶绿素a空间分布情况进行定量估测,发现北湖的叶绿素a浓度明显高于南湖,有由北向南逐渐递减的趋势,这为今后利用高光谱数据对克钦湖叶绿素a浓度大面积遥感反演提供了研究基础。     

Study on runoff simulation of the upstream of Minjiang River under future climate change scenarios

Climate change is one of the main factors that affect runoff changes. In the upstream of Minjiang River, the temperature increased significantly in the last 50 years, while the precipitation decreased on the contrary. In order to analyze the effect of climate change on site runoff, watershed runoff depth and evaporation, nine climate scenarios are assumed based on rainfall and temperature indicators. A SWAT model of Minjiang River is constructed, and runoff simulation is carried out with the nine scenarios. The results show that if precipitation increases or decreases 20 %, the change rate of runoff depth will increase or decrease 28–32 %; if temperature increases or decreases 2 °C, the change rate of runoff depth will decrease or increase 1–6 %; if temperature increases or decreases 2 °C, the change rate of the potential evaporation will increase or decrease 5–16 %, and the actual evaporation rate of variation will increase or decrease 1–6 %. Overall, precipitation variation has greater effect on simulated runoff than temperature variation dose. In addition, temperature variation has more obvious effect on the runoff simulation results in dry years than in wet years. The actual evaporation of watershed depends on evaporation capacity and precipitation and increases with the increasing of the potential evaporation and precipitation. The study also shows that the climate change scenarios analysis technology, combined with SWAT hydrological model, can effectively simulate the effect of climate change on runoff.

     

基于多源大数据的城市15分钟生活圈公共服务设施现状评价——以临汾市尧都区为例

当前,国土空间规划十分重视公共服务设施体系建设与城乡生活圈的构建.本文基于生活圈理念对城市公共服务设施评价进行研究,应用高德位置大数据、POI数据、土地三调等多源数据,突破传统测度生活圈范围方法的局限性,以高德地图在线道路网络为基础,调用Web服务路径规划,并借助GIS空间分析和模型运算,以工作流的形式搭建一套可移植、通用性强、批量自动化的模型分析工具,快速、准确地测度生活圈服务范围.以临汾市尧都区为例,以教育、医疗、文化、体育4大类公共服务设施为研究对象,以覆盖率指标、便利度指标、综合指标作为评价依据,开展社区生活圈的公共服务设施现状评价研究.研究结果可在一定程度上指导临汾市尧都区国土空间规划公共服务设施的配置.