西庄河流域土地利用方式对土壤肥力影响的研究

采用野外调查、取样和实验分析相结合的方法对云南省保山市西庄河山地流域内4种主要土地利用方式（林地、耕地、茶园、灌丛）的土壤理化性质进行对比研究,讨论了不同土地利用方式对土壤肥力的影响,结果表明,不同的土地利用方式对土壤肥力具有比较明显的影响：土壤有机质和全氮质量分数变化从大到小依次为灌丛＞林地＞茶园＞耕地;磷、钾元素表现为耕地＞茶园＞林地＞灌丛;土壤阳离子交换量表现为耕地＞茶园＞灌丛＞林地;盐基饱和度表现为耕地＞灌丛＞林地＞茶园;农业耕作活动对表层土壤物理性质影响明显。     

Benefits and challenges of streamlined life-cycle assessment for SMEs – findings from case studies on climate change impacts

ABSTRACT

Small and medium-sized enterprises (SMEs) have a substantial role in the economy and job creation, but they are a remarkable source of environmental impacts. SMEs often lack skills and resources to compile environmental impact assessments; Streamlined Life Cycle Analysis (LCA) can provide efficient tools for this. An application of streamlined LCA relying heavily on database data, LCA clinic, was developed and tested on 23 SMEs in Finland. The climate change impacts were mainly caused by the production of raw materials, electricity and heating, whereas packaging and transportation were not influential. A significant amount of emissions were indirect, i.e. caused by production of raw materials. Thus, decreasing emissions from raw material production or selecting raw materials with a smaller environmental load could be a more efficient way to decrease emissions than reducing direct emissions such as those from electricity use. Lack of data in the LCA-databases was considered a challenge. An access to regionally customised datasets is important for the implementation of LCA clinics. Company feedback indicated that LCA clinics were useful in climate-friendly product design and increased environmental awareness, but did not lead to immediate actions to reduce emissions because of inadequate investment capabilities. Company managers had limited possibilities to use the results in marketing as comparative assessments would require a full LCA. Many company managers were willing to pay a fee sufficient to cover the costs of an LCA clinic, but some considered that the costs should be covered by external funding sources.     

Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Climate change poses water resource challenges for many already water stressed watersheds throughout the world. One such watershed is the Upper Neuse Watershed in North Carolina, which serves as a water source for the large and growing Research Triangle Park region. The aim of this study was to quantify possible changes in the watershed’s water balance due to climate change. To do this, we used the Soil and Water Assessment Tool (SWAT) model forced with different climate scenarios for baseline, mid‐century, and end‐century time periods using five different downscaled General Circulation Models. Before running these scenarios, the SWAT model was calibrated and validated using daily streamflow records within the watershed. The study results suggest that, even under a mitigation scenario, precipitation will increase by 7.7% from the baseline to mid‐century time period and by 9.8% between the baseline and end‐century time period. Over the same periods, evapotranspiration (ET) would decrease by 5.5 and 7.6%, water yield would increase by 25.1% and 33.2%, and soil water would increase by 1.4% and 1.9%. Perhaps most importantly, the model results show, under a high emission scenario, large seasonal differences with ET estimated to decrease by up to 42% and water yield to increase by up to 157% in late summer and fall. Planning for the wetter predicted future and corresponding seasonal changes will be critical for mitigating the impacts of climate change on water resources.     

Comparison and Evaluation of Gridded Precipitation Datasets in a Kansas Agricultural Watershed Using SWAT

Gridded precipitation datasets are becoming a convenient substitute for gauge measurements in hydrological modeling; however, these data have not been fully evaluated across a range of conditions. We compared four gridded datasets (Daily Surface Weather and Climatological Summaries [DAYMET], North American Land Data Assimilation System [NLDAS], Global Land Data Assimilation System [GLDAS], and Parameter‐elevation Regressions on Independent Slopes Model [PRISM]) as precipitation data sources and evaluated how they affected hydrologic model performance when compared with a gauged dataset, Global Historical Climatology Network‐Daily (GHCN‐D). Analyses were performed for the Delaware Watershed at Perry Lake in eastern Kansas. Precipitation indices for DAYMET and PRISM precipitation closely matched GHCN‐D, whereas NLDAS and GLDAS showed weaker correlations. We also used these precipitation data as input to the Soil and Water Assessment Tool (SWAT) model that confirmed similar trends in streamflow simulation. For stations with complete data, GHCN‐D based SWAT‐simulated streamflow variability better than gridded precipitation data. During low flow periods we found PRISM performed better, whereas both DAYMET and NLDAS performed better in high flow years. Our results demonstrate that combining gridded precipitation sources with gauge‐based measurements can improve hydrologic model performance, especially for extreme events.     

Population structure and community characteristics of Acer catalpifolium Rehd北大核心CSCD

Acer catalpifolium Rehd., a critically endangered tree species with an extremely limited range of distribution, is one of the 120 plant species with extremely small populations, as approved by the state forestry administration of the People's Republic of China and requires urgent rescue action. In order to comprehensively understand the population status and the future developmental trend of A. catalpifolium, the plant communities were investigated from 5 sites, including Caishenmiao (CSM), Banruosi (BRS), Zhangshancun (ZSC), Fuhusi (FHS), and Baoguosi (BGS). The population structure of A. catalpifolium as well as the species composition and community characteristics of its habitat were investigated. The results showed that A. catalpifolium is mainly distributed in the evergreen broad-leaved and deciduous broad-leaved mixed forests, in different community layers, namely, the tree layer, shrub layer, and herb layer, and is accompanied by 52, 74, and 52 plant species, respectively. Analyses of the distribution of population abundance revealed that BRS had the largest distribution of A. catalpifolium, accounting for 26.04% of the total population, followed by FHS, ZSC, BGS, and CSM, in that order. Analyses of the community characteristics revealed that the species diversity indices in FHS, BRS, BGS, and CSM were greater than that in ZSC. Analyses of the population age structure of A. catalpifolium revealed the gap in the distribution of the levels of seedlings and young trees. There were serious obstacles to the regeneration of the natural population. We concluded that the obstacle to the regeneration of the population of A. catalpifolium might be caused by the high competitive pressure from the dominant species and the micro-environment in the forest. Understanding the community characteristics and the population structure of A. catalpifolium could provide a theoretical foundation for its reintroduction and recovery. © 2018 Science Press. All rights reserved.     

基于小流域尺度的目标抗生素排放量估算方法——以梅江流域为例

抗生素的大量使用和排放造成的环境污染和生态风险问题日益突出,抗生素排放量的估算是评价流域内抗生素污染程度的重要指标,但目前抗生素排放量估算方法尚不完善。本研究以梅江流域为例,建立了适合小流域尺度的典型抗生素排放量估算方法,计算了四环素类抗生素(TCs)向不同环境相的排放量并分析了其主要来源。结果表明:2016年梅江流域TCs排放量为8 558.1 kg,不同行政区抗生素排放量差异较大,其中梅江镇受人口密度及养殖密度影响,抗生素排放量最大,高达1 224.4 kg;同时流域内不同抗生素的排放量也有所不同,其大小顺序为强力霉素(DXC)土霉素(OTC)四环素(TC)金霉素(CTC);TCs受排放源、排放途径等因素影响,以进入环境水相及土壤相为主,其中进入水相中的抗生素主要来自人类及生猪粪便,进入土壤相中的抗生素主要来自生猪及三黄鸡粪便。梅江小流域抗生素具有潜在的生态风险,应加强抗生素使用管理。该研究为我国小尺度流域目标抗生素排放量的估算提供了十分有效的方法。     

长江源头的小流域综合治理及其效能

孟宗沟小流域是长江源头高寒牧区水土流失综合治理试点。通过沟道与坡面两方面的治理，工程措施与生物措施相结合，增加地面、坡面植被，栏蓄径流，减少泥沙下泄，在防护效能上取得了显著成果。     

基于小光斑激光雷达数据的稀疏林地冠层高程重建

探讨在稀疏林地的条件下,利用小光斑激光雷达获取的多次回波点云数据估算冠层高度,研究不同的高度重建方法包括反距离权重、样条插值以及普通克里格等方法的冠层和地面高度重建的精度。研究发现,在地面和林冠层,不同的重建方法的表现是不一样的,其中样条方法在冠层重建中的精度较高,误差绝对值的平均值为0.95m,并且整体偏差也较小,方差为3.42。而在地面高程重建则是普通克里格方法具有较小的误差,误差绝对值的平均值为0.35m,而样条方法的整体偏差要优于其他两种方法,方差为0.48。经过综合考虑,利用样条方法重建的冠层高程和普通克里格方法重建的地面高程实现了实验区冠层高度的提取。     

三峡库区小流域水体硝态氮含量及与土地利用的关系

通过对三峡库区宝塔河与曲溪两小流域内土地利用结构和施肥状况的调查,以及对流域水体中硝态氮含量连续3年的监测,探讨了土地利用结构和施肥状况等对水体中硝态氮含量的影响。结果表明:①不同流域水体中硝态氮含量存在很大差异,曲溪流域变化范围是0.4~14.6mg/l,平均为6.96mg/l;宝塔河流域变化范围是0.2~6.8mg/l,平均为2.41mg/l,耕地和林地面积所占的比例对流域水体中硝态氮含量有很重要的影响;②曲溪流域水体硝态氮含量的季节性变化表现为春季<夏季<秋季<冬季,这一变化与降雨量的大小有一定关系,也与季节性的农事活动有关;宝塔河流域受居民非农业活动影响显著,其水体硝态氮含量的季节性变化规律不明显,年度变化表现为2005年略高于2004年,但2006年却略为下降,农业耕作对水体硝酸盐的含量影响比曲溪弱。     

干旱地区森林对流域径流的影响

森林对流域径流的影响包括森林对流域径流形成机制的影响、森林对流域径流量的调节以及森林对流域径流水质的影响3个方面。论文根据作者在黄土高原和北京土石山区多年研究的结果，并结合国内同行在森林水文方面的研究成果，就干旱地区森林对流域年总径流量、洪峰流量、枯水径流以及径流水质等方面的影响作了概括。结果表明，在干旱地区随着森林植被覆盖率的增加，流域年总径流量减少；森林植被可以大幅度地减小小流域的暴雨洪峰流量；森林植被覆盖率越高，枯水径流量随之增加；森林可以在很大程度上改善流域径流水质。根据干旱地区森林植被可以减少流域年径流总量的研究结果，初步估算目前我国干旱地区林业生态工程建设（包括天然林）的生态用水量为160亿m3左右。由于森林植被对流域径流影响的复杂性和尺度依赖性，森林在区域（或大流域）尺度的水文功能评价仍有待于进一步深入研究。