塔里木盆地北缘绿洲不同连作年限棉田土壤有机碳、无机碳含量与环境因子的相关性

农田土壤碳库是土壤碳库的重要组成部分,易受人类活动调节且固碳减排潜力巨大,研究土壤有机碳、无机碳含量特征及其与环境因子的关系有助于深入理解土壤生态过程,为全球碳收支平衡研究提供理论支持.本文以塔里木盆地北缘绿洲为靶区,分析土壤碳库特征,结合冗余分析、通径分析,探究土壤有机碳、无机碳含量及其与环境因子的相关关系.结果表明:(1)同一土层不同连作年限棉田土壤有机碳、无机碳含量存在显著差异(P0.05),随连作年限增加,有机碳含量呈先增加后减少趋势,而无机碳含量呈先减少后增加趋势;同一连作年限棉田不同土层土壤有机碳、无机碳含量存在显著差异(P0.05),有机碳含量均在0~20 cm层达到最大值,而无机碳含量均在20~50 cm层达到最大值.(2)通过冗余分析得出环境因子对土壤碳库特征影响的重要性排序为:磷酸酶活性p H值蔗糖酶活性过氧化氢酶活性全氮速效磷速效钾土壤含水量脲酶活性电导率;磷酸酶活性、p H值、蔗糖酶活性、过氧化氢酶活性、全氮、速效磷、速效钾与土壤有机碳、无机碳含量呈极显著相关关系(P0.01);土壤含水量、脲酶活性与土壤有机碳、无机碳含量表现为显著相关(P0.05).(3)通径分析表明,速效钾对有机碳含量直接作用显著,是影响有机碳含量的主要因素,而脲酶活性对无机碳含量直接作用显著,是影响无机碳含量的主要因素.干旱半干旱区土壤有机碳、无机碳含量研究是评价农田生态系统土壤碳的"源/汇"效应的基础数据,对研究全球碳收支平衡和陆地碳循环机制具有重要意义.     

洱海流域农田土壤氮素的矿化及其影响因素

采用好氧间歇淋洗培养法,对洱海流域内的农田、菜地土壤样品培养2周,研究土壤氮的矿化及其影响因素.结果表明,表层土壤2周氮矿化量平均为65.54mg/kg.不同农田利用方式下,表层土壤氮矿化量的平均值为露地菜田粮田大蒜田.土壤氮素矿化以硝态氮为主,且随着土壤深度的增加而降低.土壤氮矿化同全氮、有机质含量呈明显的正相关关系,与pH值呈负相关;氮矿化与无机氮含量、C/N之间无显著关系.全氮、有机质和pH值是影响该流域农田土壤矿化的主要因子.     

四川盆地紫色丘陵区不同种植模式下氮流失特征

氮素流失是农业面源污染的重要来源.为了解四川盆地紫色丘陵区不同种植模式下氮的流失特征,以四川盆地紫色丘陵区4种典型耕作模式紫云英-水稻(M1)、空地-大豆-空地(M2)、空地-生姜(M3)、空地-玉米+红薯(M4)等为研究对象,研究了4种模式从2008年12月到2009年8月共8次有效降雨中氮通过地表径流和渗透水的流失特征.研究期间,4种模式下氮流失量随着降雨量的增加而增加,总氮流失量表现为:M3((30.388±2.86)kg·hm-2)M4((17.118±1.677)kg·hm-2)M2((10.987±1.108)kg·hm-2)M1((6.090±1.051)kg·hm-2).相对于其它模式,M4模式下地表径流量和渗透水量在研究期间均最大,但M3模式下氮通过地表径流和渗透水的流失量最大.另外,非生长季节4个模式下氮流失量相对较低且各模式间差别较小,生长季节4个模式间可溶性氮和总氮通过地表径流和渗透水流失量均表现为M3M4M2M1.4种种植模式下氮通过地表径流和渗透水的流失形态均以硝态氮为主.渗透水中铵态氮和可溶性总氮占总氮的比例高于地表径流.这些结果为该区区域合理选择耕作模式、优化耕作方式、加强管理以控制区域农业面源污染提供了一定的基础数据.     

Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-off pollutant concentrations from non-point sources (NPSs). Pollutant loads could also be calculated using rainfall, catchment area and runoff coefficient. In this study, runoff quantity and quality data gathered from a 28-month monitoring conducted on the road and parking lot sites in Korea were evaluated using multiple linear regression (MLR) to develop equations for estimating pollutant loads and EMCs as a function of rainfall variables. The results revealed that total event rainfall and average rainfall intensity are possible predictors of pollutant loads. Overall, the models are indicators of the high uncertainties of NPSs; perhaps estimation of EMCs and loads could be accurately obtained by means of water quality sampling or a long term monitoring is needed to gather more data that can be used for the development of estimation models.     

Regional crop yield, water consumption and water use efficiency and their responses to climate change in the North China Plain

The North China Plain (NCP) is one of the most important regions for food production in China, with its agricultural system being significantly affected by the undergoing climate change and vulnerable with water stress. In this study, the Vegetation Interface Processes (VIP) model is used to evaluate crop yield, water consumption (ET), and water use efficiency (WUE) of a winter wheat (Triticum aestivum L.)–summer maize (Zea mays L.) double cropping system in the NCP from 1951 to 2006. Their responses to future climate scenarios of 21st century projected by the GCM (HadCM3) with Intergovernmental Panel on Climate Change Special Report on Emission Scenario (IPCC SRES) A2 and B1 emissions are investigated. The results show a rapid enhancement of crop yield in the past 56 years, accompanying with slight increment of ET and noticeable improvement of WUE. There exist spatial patterns of crop yield stemmed mainly from soil quality and irrigation facilities. For climate change impacts, it is found that winter wheat yield will significantly increase with the maximum increment in A2 occurring in 2070s with a value of 19%, whereas the maximum in B1 being 13% in 2060s. Its ET is slightly intensified, which is less than 6%, under both A2 and B1 scenarios, giving rise to the improvement of WUE by 10% and 7% under A2 and B1 scenarios, respectively. Comparatively, summer maize yield will gently decline by 15% for A2 and 12% for B1 scenario, respectively. Its ET is obviously increasing since 2050s with over 10% relative change, leading to a lower WUE with more than 25% relative change under both scenarios in 2090s. Therefore, possible adaptation countermeasures should be developed to mitigate the negative effects of climate change for the sustainable development of agro-ecosystems in the NCP.     

紫色土区不同土地利用类型土壤紧实度特征

以重庆市沙坪坝区杨家沟小流域为例,选取6种土地利用类型样地进行试验,研究紫色土区不同土地利用类型的土壤紧实度特征,为土壤质量评价和土地资源管理提供参考。通过多重比较检验分析土壤紧实度随土壤深度的变化规律以及不同土地利用类型下的差异,结果表明:(1)6种土地利用类型的土壤紧实度值为竹林地园地灌木林地林地草地旱地;(2)6种土地利用类型的土壤紧实度均随土壤深度增加而增大,但各类之间变化差异较大;(3)同土层而言,0~10cm土层旱地与其它5种土地利用类型的土壤紧实度有显著性差异(p0.05),但各种土地利用类型间底层土壤紧实度差异不明显;不同土层而言,0~10cm土层与其它3个土层有显著性差异(p0.05),由于0~10cm土层受耕作、踩踏等外力扰动与其它土层差异较大。10~20cm土层与其它3个土层也有显著性差异(p0.05)。其它各土层之间差异不明显。不同土地利用类型的土壤紧实度差异较大,主要与人类活动扰动程度有关。     

基于观测数据空间化的北京市PM_(2.5)时空分异

PM2.5在地球表面上的变化是连续的,但由于地面海拔起伏和站点分布的相对稀疏,直接内插法很难顾及这种情况。文章运用反距离权重(IDW)、Kriging、经验贝叶斯克里金法(EBK)、多元回归+残差内插的综合空间化手段,对北京市2015年1月的PM2.5数据进行分析。结果表明:利用多元回归+残差内插方法空间化更优,且PM2.5存在显著的正局部空间自相关,中度以上污染主要分布在北京市东南部和房山区。时间上,PM2.5质量浓度逐时均值呈"W"型。3 h尺度上,PM2.5质量浓度与相对湿度和露点温度正相关,与能见度、大气压和风速负相关,与温度不相关。     

稀释倍数影响BOD测定结果机理的探讨

本文探讨了稀释倍数影响BOD测定结果的生化机理.研究结果表明,稀释倍数不同所引起的BOD测定值不同的原因在于培养体系内食料微生物比F/M值的不同.在相同接种条件下,稀释倍数愈大,BOD测定值和耗氧速率常数K值也愈大,而其BOD_u值基本不变.对标准葡萄糖-谷氨酸溶液来说,不同F/M值的两个培养体系的活菌总数峰值均在两日内出现,且F/M值大的其峰值相对滞后出现;细菌种群在内源呼吸期之前的耗氧速率较大,内源呼吸期的耗氧速率较小.     

SELECTION AND SUSTAINABILITY OF LAND AND WATER RESOURCE MANAGEMENT SYSTEMS1

ABSTRACT: Most spatial decision support systems for natural resource planning and management are limited by their scenario-based (non-behavioral), deterministic (non-stochastic) structure. A spatial decision support system is developed that uses a multiple attribute decision-making model to explain how a property manager selects a land and water resource management system (LWRMS) based on its multiple, stochastic economic and environmental attributes. The decision support system assesses sustainable resource management at the property and watershed scales and identifies the most cost-effective policy for enhancing sustainable resource management. Economic attributes are determined with an economic model and environmental attributes are simulated with an environmental model. Input parameters for both models are generated with a geographic information system. The decision support system is used to rank five LWRMS for a sample of 20 farmers in Missouri's Goodwater Creek watershed and for two hypothetical watershed alliance groups. Results indicate that the average farmer and the two alliance groups would rank the five LWRMS in the same manner. From the viewpoint of the watershed alliance, the most preferred LWRMS for the average farmer in the watershed is sustainable.     

Analysis of Meteorological Drought Pattern During Different Climatic and Cropping Seasons in Bangladesh

Drought is one of the most frequent natural disasters in Bangladesh which severely affect agro‐based economy and people's livelihood in almost every year. Characterization of droughts in a systematic way is therefore critical in order to take necessary actions toward drought mitigation and sustainable development. In this study, standardized precipitation index is used to understand the spatial distribution of meteorological droughts during various climatic seasons such as premonsoon, monsoon, and winter seasons as well as cropping seasons such as Pre‐Kharif (March‐May), Kharif (May‐October), and Rabi (December‐February). Rainfall data collected from 29 rainfall gauge stations located in different parts of the country were used for a period of 50 years (1961‐2010). The study reveals that the spatial characteristics of droughts vary widely according to season. Premonsoon droughts are more frequent in the northwest, monsoon droughts mainly occur in the west and northwest, winter droughts in the west, and the Rabi and Kharif droughts are more frequent in the north and northwest of Bangladesh. It is expected that the findings of the study will support drought monitoring and mitigation activities in Bangladesh.