Modeling spatial and temporal change of soil erosion based on multi-temporal remotely sensed data

In order to monitor the pattern, distribution, and trend of land use/cover change (LUCC) and its impacts on soil erosion, it is highly appropriate to adopt Remote Sensing (RS) data and Geographic Information System (GIS) to analyze, assess, simulate, and predict the spatial and temporal evolution dynamics. In this paper, multi-temporal Landsat TM/ETM+ remotely sensed data are used to generate land cover maps by image classification, and the Cellular Automata Markov (CA_Markov) model is employed to simulate the evolution and trend of landscape pattern change. Furthermore, the Revised Universal Soil Loss Equation (RUSLE) is used to evaluate the situation of soil erosion in the case study mining area. The trend of soil erosion is analyzed according to total/average amount of soil erosion, and the rainfall (R), cover management (C), and support practice (P) factors in RUSLE relevant to soil erosion are determined. The change trends of soil erosion and the relationship between land cover types and soil erosion amount are analyzed. The results demonstrate that the CA_Markov model is suitable to simulate and predict LUCC trends with good efficiency and accuracy, and RUSLE can calculate the total soil erosion effectively. In the study area, there was minimal erosion grade and this is expected to continue to decline in the next few years, according to our prediction results.     

Interannual Variability in Pollen Dispersal and Deposition on the Tropical Quelccaya Ice Cap*

Pollen collected from snow samples on the Quelccaya Ice Cap in 2000 and 2001 reveals significant interannual variability in pollen assemblage, concentration, and provenance. Samples from 2000, a La Niña year, contain high pollen concentrations and resemble samples from the Andean forests (Yungas) to the east. Samples from 2001, an El Niño year, contain fewer pollen and resemble those from the Altiplano. We suggest that varying wind patterns under different El Niño/Southern Oscillation (ENSO) conditions may affect the processes of pollen transport over the Altiplano and on the ice cap, although confounding variables such as flowering phenology and sublimation should also be considered     

鄂西山区耕作制度的合理调整

鄂西山区耕地面积8640平方公里。区内现行耕作制度,在海拔500—1200米处以一年两熟制为主,海拔1200米以上处是一年一熟制。全区一熟制面积占耕地面积的15％,耕作复种指数180—195％。随着区内商品经济的进一步发展,对现存耕作制度要加以调整:1.加强精耕细作,提高粮食单产,调整农业经济结构;2.合理布局作物,优化种植业结构;3.实行科学种田,使耕作制度的变革不断深化。     

小五台山亚高山景观尺度水热条件与植被关系

以河北省小五台山为研究区,通过转化糖方法获取亚高山不同景观部位效应温度,结合DEM模型模拟研究区内太阳直接辐射以及土壤湿润度系数,进而构建生境干燥度指数。以此为基础,在景观尺度上定量分析研究区内亚高山带水热条件与森林和亚高山草甸植被分布格局的关系。结果表明,① 研究区域中森林分布地段生境的太阳直接辐射,效应温度和干燥度指数都显著低于草甸分布地段,土壤水分系数则恰恰相反;② 综合太阳直接辐射或效应温度与土壤湿润度系数的干燥度指数统计分析结果,优于分别以各个因子单独进行分析的结果;③ 在植被格局的形成中,干燥度起着至关重要的作用,这与在水平地带中,森林与草原植被的分布格局受干燥度控制的规律相一致。     

黄河源径流演变特征及其对降水的响应

采用1960-2012年黄河源径流、降水数据,以过程线法、集中度和集中期等方法分析黄河沿以上、黄河沿-吉迈、吉迈-玛曲、玛曲-唐乃亥等4个区段降水、径流的演变特征,并从降水的产流能力、时滞相关和集中期响应等角度分析径流对降水的响应。结果表明：黄河源径流汛期占比年际变化趋势自上游各区段呈不显著的增加-减少-增加-减少的特征。吉迈以上径流量年际变化呈不显著增加,吉迈以下呈减少趋势。各区段径流集中期均有不同程度的提前。下游径流集中期早于上游。黄河源汛期降水占比呈不显著下降趋势。4个区段自上游降水年际变化呈显著增加-显著增加-不显著减少-不显著增加的特征。降水的集中度分布较径流更为集中,且有不显著减少趋势。各区段降水的产流能力在20世纪80年代末至90年代中期出现弱化趋势,中上游在2005年左右降水的产流能力转为较分析时段初期有增强的趋势,而中下游一直较分析时段初期减小。不同区段年径流量与不同统计时段降水量的依存关系不同。黄河源玛曲以上径流相对于降水的集中期滞后天数呈不显著减少,玛曲-唐乃亥滞后天数略有增加。     

汾河流域城乡聚落体系发展潜能测度及空间模式探究

以11 188个自然聚落斑块为研究对象,基于场强模型,定量测度汾河流域城乡聚落体系发展潜能,借助GIS技术和地理探测器模型,分析其空间格局特征及驱动因素,进而探讨流域城乡融合发展空间模式。结果表明:①城乡聚落斑块发展潜能差异显著,且空间分布极不均衡;纵向上中游流域高于下游流域高于上游流域,横向上河谷盆地区高于周边缓丘区高于两侧山丘区。②聚落斑块发展潜能具有正向空间自相关性,高值斑块聚类显著;具有空间异质性特征且方向性明显,汾河主河道方向联动效应最强,空间联系最紧密;存在局域热点区,并呈现"主核–廊道–次核"的空间结构形态。③自然基础、社会经济发展水平和区位条件共同影响着城乡聚落体系发展潜质及空间结构形态;融合发展采取非均衡增长路径,市、县、镇、村全局考虑,构建"强化核心点–培育发展轴–扶持特色区–带动全流域"的逐层推进式空间发展模式。     

柴达木低品位固体钾矿溶解转化率与品位关系

我国是缺钾大国,探明的可溶性钾盐十分有限,柴达木盆地是我国盐湖钾盐的聚集地,含水层骨架中含有数亿吨低品位固体钾矿,开发出这些低品位固体钾盐对增加国内钾肥供给,保障粮食安全具有重大意义。青海盐湖工业股份有限公司历经十年开发出低品位固体钾盐的浸泡式溶解转化方法,试验表明,固体钾盐的溶解转化率随固体钾品位的增加而增加,累计溶解转化率为56%～98%。该技术在柴达木多个盐湖得到推广应用,察尔汗盐湖保有固体钾盐达2.96×10~8 t,平均品位KCl为1.24%,根据试验数据回归分析溶解转化率77%,可溶解转化出钾盐(KCl)约2.28×10~8 t,柴达木盆地盐湖保有3.43×10~8 t固体钾盐,平均品位KCl为1.25%,溶解转化率78%,可溶解转化出钾盐(KCl)2.68×10~8 t,大幅度增加了钾盐储备量。