Spatial variability of N2O concentrations and of denitrification-related factors in the surficial groundwater of a catchment in Northern Germany

N₂O concentrations and denitrification-related factors (NO₃, SO₄, dissolved organic carbon (DOC) and CO₂) were investigated in the surface groundwater of a catchment in northern Germany, the Fuhrberger Feld Aquifer (FFA). We sampled 79 plots that were selected according to the three criteria of land use, historical land use conversion (1954–1995) and groundwater level. We sampled three sites within each plot. The sampling depth was 0.5 m below the groundwater surface.We found no indication for the occurrence of autotrophic denitrification in the surface groundwater. Heterotrophic denitrification was identified as the main process for N₂O accumulation. The variability of N₂O concentrations on the plot-scale was extremely high and was poorly explained by the three sampling criteria. Other denitrification-related variables such as NO₃, SO₄ and DOC were less variable. The selection criteria land use and groundwater level clearly influenced the order of magnitude of N₂O concentrations in the surface groundwater. Under arable land, high NO₃ concentrations resulted in high N₂O concentrations. The surface groundwater under forest and pasture was almost NO₃-free and had also very small N₂O concentrations. Plots where the distance from the soil surface to the groundwater surface was large (>1 m up to 3.4 m) showed higher N₂O concentrations in the surface groundwater than plots where the distance was small (<1 m). A larger distance from the soil surface to the groundwater leads to a longer residence time and more decomposition of DOC in the soil. Consequently the less bioavailable DOC could inhibit the efficiency of the heterotrophic denitrification in the groundwater, yielding more N₂O. Elevated organic carbon levels in plots with historic land use conversion (pasture to arable) were very stable and did not influence N₂O concentrations. The high within plot variability showed that an upscaling of N₂O from the plot-scale to the catchment-scale is possible as long as the groundwater level regime and the land use do not change.     

农业土地利用对岩溶地下水影响研究综述

地球表层系统最突出的景观标志是土地利用/土地覆被。人类通过土地利用改变天然土地覆被从而对脆弱敏感的岩溶水文系统产生了重大的影响。文章着重从农业土地利用出发综述了当前农业土地利用对岩溶水影响的研究。农业土地利用对岩溶地下水的影响主要围绕着水质和水量两个核心从以下几个方面展开:天然植被的清除,农业灌溉和排水,农业集约化所带来的化肥杀虫剂等的使用以及污染物质在岩溶含水层中的运移和影响。在此基础上作者从研究内容,理论方法和建立模型等方面都提出了自己的想法和建议。      

应用TM影像进行大比例尺土地利用类型划分探讨——以花江喀斯特峡谷区示范区为例

通过花江示范区土地利用类型的划分,说明利用TM遥感数据进行喀斯特峡谷区1∶ 10000大比例尺土地利用类型划分中存在的问题,包括混合像元、阴影、同物异谱、同谱异物,以及独特的石旮旯土。根据国家环保局2000年分类标准,结合花江喀斯特峡谷的实际情况,本文采用了RS、GI S和传统勾绘技术相结合的方法进行土地利用类型划分,分类结果表明此方法是可行的,其精度可达89. 65% 。      

A land surface data assimilation framework using the land information system: Description and applications

The Land Information System (LIS) is an established land surface modeling framework that integrates various community land surface models, ground measurements, satellite-based observations, high performance computing and data management tools. The use of advanced software engineering principles in LIS allows interoperability of individual system components and thus enables assessment and prediction of hydrologic conditions at various spatial and temporal scales. In this work, we describe a sequential data assimilation extension of LIS that incorporates multiple observational sources, land surface models and assimilation algorithms. These capabilities are demonstrated here in a suite of experiments that use the ensemble Kalman filter (EnKF) and assimilation through direct insertion. In a soil moisture experiment, we discuss the impact of differences in modeling approaches on assimilation performance. Provided careful choice of model error parameters, we find that two entirely different hydrological modeling approaches offer comparable assimilation results. In a snow assimilation experiment, we investigate the relative merits of assimilating different types of observations (snow cover area and snow water equivalent). The experiments show that data assimilation enhancements in LIS are uniquely suited to compare the assimilation of various data types into different land surface models within a single framework. The high performance infrastructure provides adequate support for efficient data assimilation integrations of high computational granularity.     

Improving NWP through radar rainfall-driven land surface parameters: A case study on convective precipitation forecasting

In this study we investigate the effect of forcing the land surface scheme of an atmospheric mesoscale model with radar rainfall data instead of the model-generated rainfall fields. The goal is to provide improved surface conditions for the atmospheric model in order to achieve accurate simulations of the mesoscale circulations that can significantly affect the timing, distribution and intensity of convective precipitation. The performance of the approach is evaluated in a set of numerical experiments on the basis of a 2-day-long mesoscale convective system that occurred over the US Great Plains in July 2004. The experimental design includes multiple runs covering a variety of forcing periods. Continuous data integration was initially used to investigate the sensitivity of the model’s performance in varying soil state conditions, while shorter time windows prior to the storm event were utilized to assess the effectiveness of the procedure for improving convective precipitation forecasting. Results indicate that continuous integration of radar rainfall data brings the simulated precipitation fields closer to the observed ones, as compared to the control simulation. The precipitation forecasts (up to 48 h) appear improved also in the cases of shorter integration periods (24 and 36 h), making this technique potentially useful for operational settings of weather forecasting systems. A physical interpretation of the results is provided on the basis of surface moisture and energy exchange.     

喀斯特与非喀斯特区土壤含水量与植物叶片δ13C关系的对比研究—— 以贵州清镇市王家寨小流域为例

通过测定贵州省清镇市王家寨小流域内不同背景区(喀斯特与非喀斯特)土壤的含水量以及16种植物叶片的δ13 C值,比较了不同背景区从退化生态到非退化生态过程中各样地之间,以及石漠化和土山样地不同坡位之间土壤含水量与植物叶片δ13 C值的相关关系。研究结果表明,不管是喀斯特背景区还是非喀斯特背景区从退化到非退化的过程中,随着土壤含水量的逐渐增大,植物叶片的δ13 C值与土壤含水量呈现显著的负相关关系,即土壤含水量越大,植物的水分利用效率就越低;而从不同坡位土壤含水量与植物叶片δ13 C值的相关关系分析表明,石漠化样地植物叶片δ13 C值并不随坡位土壤含水量的不同呈现出规律性的变化,而坡位自上而下土山样地植物叶片的δ13 C值则表现出随土壤含水量的增大而逐渐趋负。这些研究结果均反映了植物叶片的δ13 C值对不同生境土壤水分条件的适应机制,其中石漠化样地上的植物对土壤含水量变化的响应最迅速和最敏感。      

Carbon accumulation, nitrogen and phosphorus use efficiency of Sophora davidii seedlings in response to nitrogen supply and water stress

A greenhouse experiment was conducted to explore whether additional nitrogen (N) supply could enhance carbon (C) accumulation, and phosphorus (P) use efficiency (NUE_P) of Sophora davidii seedlings under dry conditions. Two-month-old seedlings were subjected to a completely randomized design with three water (80, 40 and 20% water field capacity (FC)) and three N supply (N0: 0, Nl: 92 and Nh: 184 mg N kg⁻¹ soil) regimes. Water stress decreased C, N and P accumulation, NUE_P, N and P uptake efficiency (NUtE_N and NUtE_P) regardless of N supply. The S. davidii seedlings exhibited strong responses to N supply, but the responses were not consistent with the various N supply levels. Nl increased C, N and P accumulation, and improved NUE_P, NUtE_N and NUtE_P in the same water treatment. In contrast, Nh did few or even depress effects on C, N and P accumulation, and NUE_P, although NUtE_N and NUtE_P increased with Nh in the same water treatment. Even so, NUE_N decreased with increase of N supply in the same water treatment. The results suggested that appropriate or low N supply should be recommended for S. davidii seedling establishment in dry environment by improving C accumulation and NUE_P.     

民勤绿洲生态重建目标下土地利用和农业结构调整的政策选择

水资源过度利用引起的土地退化日益威胁着绿洲地区的经济社会可持续发展.为恢复绿洲生态环境,压缩农业用水势在必行.然而压缩用水后如何保障农民收入成为实现可持续发展的关键问题之一.应用Bio-economic模型,定量模拟了压缩农业用水后农户对土地利用和农业结构调整、推广节水技术、增加非农就业机会等政策措施的行为响应.结果显示,压缩农业用水后农民收入将下降到压缩前的53%;调整农业结构、推广闸管灌等节水灌溉技术和增加非农就业机会,可以在不同程度上缓解压缩农业用水造成的农民收入损失.不同区域农户响应行为有所差异,应因地制宜地采取配套措施.劳动力相对紧张、人均收入较高的泉山区,可提供一次性补贴鼓励闸管灌的采用;人多地少、集约化程度较高的坝区,应在加强推广闸管灌技术的同时,增加非农就业机会;生态脆弱的湖区,政策重点应放在劳动力转移上.上述措施最终只能使农民收入恢复到压缩用水前的75%,因此应该考虑给农民提供生态补偿,并积极探索增加农民收入的新途径.     

近15年来民勤湖区土地利用/覆盖动态与格局

以1991年、1998年和2005年三期TM数据和其它辅助数据为基础,将遥感、GIS技术与景观格局分析方法相结合,在计算了土地利用程度综合指数、单一和双向动态变化以及面积、分维数、多样性、破碎度、优势度等景观指标的基础上,对近15年来民勤湖区的土地利用/覆盖变化进行了分析.结果表明,15年间各土地利用类型面积都有不同程度的增减,以耕地、荒漠草地和未利用土地的面积变化最为显著,其中耕地面积增长了9 385.47 hm<'2>,未利用土地面积减少8 616.87hm<'2>,荒漠草地面积减少949.49 hm<'2>;各土地利用类型之间的动态转化比较复杂,其中以沙地、林地和草地的空间变动程度较大;湖区整体景观异质性降低,多样性下降,优势度上升,15年来景观格局发生了较大变化;从宏观上看,荒漠进一步向绿洲逼近,绿洲有向西南方向后退的趋势.