黄土高原西北部集雨水利用的投资与效益分析

以黄土高原西北部为研究区,通过中国科学院皋兰生态农业试验站2000-2001年雨水集流试验与春小麦、西瓜、西兰花和黄瓜的补灌试验,对各种集流场的年产流率和集流费用、蓄水窖(池)的贮水费用、作物产量和水分利用效率、以及各作物集雨微灌的投资、产值与单方水产值进行了比较分析。结果表明:各集流面平均集流费用和各蓄水窖(池)的平均贮水费用都很高,分别为1.07元/m3和5.08元/m3,且贮水费用显著高于集流费用。净产值和单方水产值的大小顺序依次为日光温室黄瓜、大田西兰花、砂田西瓜和大田小麦。如把人工计算在内,大田小麦不进行补灌,其净产值为负值,进而补灌导致了净产值的大幅度减小。集雨水用于微灌砂田西瓜、西兰花和日光温室黄瓜都能产生很好的经济效益。并提出了日光温室集水-贮水-高效用水的"一池一窖"模式。     

Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama

Land use/cover (LULC) and climate change are two main factors affecting watershed hydrology. In this paper, individual and combined impacts of LULC and climate change on hydrologic processes were analysed applying the model Soil and Water Assessment Tool in a coastal Alabama watershed in USA. Temporally and spatially downscaled Global Circulation Model outputs predict a slight increase in precipitation in the study area, which is also projected to experience substantial urban growth in the future. Changes in flow frequency and volume in the 2030s (2016–2040) compared to a baseline period (1984–2008) at daily, monthly and annual time scales were explored. A redistribution of daily streamflow is projected when either climate or LULC change was considered. High flows are predicted to increase, while low flows are expected to decrease. Combined change effect results in a more noticeable and uneven distribution of daily streamflow. Monthly average streamflow and surface runoff are projected to increase in spring and winter, but especially in fall. LULC change does not have a significant effect on monthly average streamflow, but the change affects partitioning of streamflow, causing higher surface runoff and lower baseflow. The combined effect leads to a dramatic increase in monthly average streamflow with a stronger increasing trend in surface runoff and decreasing trend in baseflow. Copyright © 2013 John Wiley & Sons, Ltd.     

青藏高原边缘积雪辐射特征

利用中国陆地生态系统通量观测研究网络的玛曲站观测的一次降雪过程的资料,对青藏高原东部边缘冬季的降雪、积雪过程的辐射特征进行了分析.研究结果表明;积雪期晴天和降雪过程的向上短波辐射的峰值分别约为降雪前晴天的3和2倍.无积雪晴天地表反射率主要分布在0.175～0.36,新雪地表反射率主要分布在0.8～0.9.大气逆辐射变化较小,降雪过程的最大,积雪时的最小.地表长波辐射则为降雪前最大,降雪时最小.积雪覆盖的晴天比无积雪时的净辐射变化幅度减小,且早上由负转正的时间推迟.     

Spatial and Quantitative Comparison of Satellite-Derived Land Cover Products over China

Because land cover plays an important role in global climate change studies, assessing the agreement among different land cover products is critical. Significant discrepancies have been reported among ...     

区域植被覆盖的多尺度空间变异性——以贵州喀斯特高原为例

地理格局尺度依赖性的客观存在,要求在连续尺度序列上对区域植被覆盖空间变异性进行考察,以真实反映植被覆盖空间特征。以贵州喀斯特高原为例,借助地统计学和GIS 软件,揭示了研究区NDVI的空间变异特征,并进行了空间变异与空间尺度的耦合研究。结论如下：① NDVI空间变异程度表现出明显的尺度依存性,空间尺度的粗粒化对NDVI的平滑作用非常显著,但两种重采样方法对原始数据的粗粒化作用机制不同;② 基于不同遥感数据源获得的NDVI数据之间空间格局差异明显,而且传统统计结果与地统计学结果明显不同,说明空间信息对数据间的差异性统计影响显著;③ NDVI空间变异性呈现显著的各向异性,并表现出对遥感数据源的敏感性。     

洞庭湖区近20年土地利用/覆盖变化的时空特征

在中国资源与环境时空数据库的支持下,利用20世纪70年代末期、80年代末期和90年代末期获取的陆地资源卫星图像和GIS分析方法,对洞庭湖区近20年的土地利用/覆盖变化的时空特征进行了研究。结果表明,变化比较显著的地类有3种:耕地减少了1 97%,各类建设用地总计增加了14 88%,水域面积增加的幅度为8 77%。耕地与水域相互之间的转变比较频繁。以80年代末为界,前后2个10年间,建设用地、水域和草地的面积在2个时期均持续增加,耕地、林地的面积都持续减少。后期土地利用的动态度大于前期;前期动态度最大的县域有岳阳市、沅江县和汉寿县,后期动态度最大的则为石首市、津市和岳阳市,全部为市级行政区或县改市区。     

应用高精度卫星图像进行城市植被覆盖调查:以厦门市为例

With the technological improvements of satellite sensors, we will acquire more informationabout the earth so that we have reached a new application epoch of observation on earthenvironmental change and cartography. But with the enhancement of spatial resolution, somequestions have arisen in the application of using traditional image processing and classificationmethods. Aiming for such questions, we studied the application of IKONOS very high resolutionimage (1 m) in Xiamen City on Urban Vegetation Cover Investigation and discussed the differencebetween the very high resolution image and traditional low spatial resolution image at classification,information abstraction etc. It is an advantageous test for the large-scale application of very highresolution data in the future.     

Change detection of linear features in temporally spaced remotely sensed images using edge-based grid analysis

Automatic change detection of land cover features using high-resolution satellite images, is a challenging problem in the field of intelligent remote sensing data interpretation, and is becoming more and more effective for its applications viz. urban planning and monitoring, disaster assessment etc. In the present study, a change in detection approach based on the image morphology that analyses change in the local image grids is proposed. In this approach, edges from both the images are extracted and grid wise comparison is made by probabilistic thresholding and power spectral density analysis for identifying change area. One of the advantages of the proposed methodology is that the temporal images used in the change analysis need not be radiometrically corrected as analysis is based on edge extractions. The grid-based analysis further reduces the error, which might have been introduced by image mis-registration. The proposed methodology is validated by finding the temporal changes in the linear land cover features in parts of Kolkata city, India using three different image data-sets from LISS IV, Cartosat-1 and Google earth having varied spatial resolutions of 5.8 m, 2.5 m and about 1 m, respectively. The overall accuracy in identifying changes is found to be 64.82, 73.86 and 80.93% for LISS IV, Cartosat-1 and Google earth data-set, respectively.     

Unfolding relations between land cover and farm management: high nature value assessment in complex silvo-pastoral systems

The high nature value (HNV) concept, proposed by the European Environment Agency, recognizes that specific farming systems support high biodiversity levels, mainly as a result of extensive management practices. The Portuguese montado is one of the most significant HNV systems in southern Europe. However, considering the great complexity characterizing these systems both in land management and in landscape structure, a specific context-oriented methodology to assess which montado areas are likely to be classified as HNV farmland is needed. In this sense, the aim of this study is to explore a methodological approach which makes it possible to assess land management pressures through land cover information on these complex silvo-pastoral systems. The proposed methodology was tested through a local case study in a montado area in southern Portugal, assessing the relation between management practices and a vegetation cover index. Results show that in similar montado areas different land management strategies varying in stocking density, but also in type of grazing animals and shrub control practices, configure different vegetation cycles. These results indicate there is a way to develop a straightforward methodology to assess the HNV value of Mediterranean silvo-pastoral systems based on land cover indicators. These would make it possible to assess the HNV of montado areas with direct and objective information and independent of farmer’s surveys or other farm-based data.     

A Modeling Study of the Effects of Anomalous Snow Cover over the Tibetan Plateau upon the South Asian Summer Monsoon

The effect of anomalous snow cover over the Tibetan Plateau upon the South Asian summer monsoon is investigated by numerical simulations using the NCAR regional climate model (RegCM2) into which gravity wave drag has been introduced. The simulations adopt relatively realistic snow mass forcings based on Scanning Multi-channel Microwave Radiometer (SMMR) pentad snow depth data. The physical mechanism and spatial structure of the sensitivity of the South Asian early summer monsoon to snow cover anomaly over the Tibetan Plateau are revealed. The main results are summarized as follows. The heavier than normal snow cover over the Plateau can obviously reduce the shortwave radiation absorbed by surface through the albedo effect, which is compensated by weaker upward sensible heat flux associated with colder surface temperature, whereas the effects of snow melting and evaporation are relatively smaller.The anomalies of surface heat fluxes can last until June and become unobvions in July. The decrease of the Plateau surface temperature caused by heavier snow cover reaches its maximum value from late April to early May. The atmospheric cooling in the mid-upper troposphere over the Plateau and its surrounding areas is most obvious in May and can keep a fairly strong intensity in June. In contrast, there is warming to the south of the Plateau in the mid-lower troposphere from April to June with a maximum value in May.The heavier snow cover over the Plateau can reduce the intensity of the South Asian summer monsoon and rainfall to some extent, but this influence is only obvious in early summer and almost disappears in later stages.