应用GLEAMS模型评估我国东南地区农业小流域硝态氦的渗漏淋失

应用GLEAMS模型估算我国东南亚热带地区农业小流域硝态氮的渗漏淋失。在五川流域8种不同土地利用方式的农田中埋设渗漏监测装置，每月采集水样分析硝态氮含量。用2002年4—12月作物生长季节的实测数据进行模型校验的结果表明，模型对水稻田除外的其他土地利用方式下硝态氮渗漏淋失模拟效果较好。五川流域2002年硝态氮淋失模拟计算结果表明，不同土地利用方式下硝态氮淋失时空差异显著，全年渗漏量（以氮计）为4．64～38．39kg·hm^-2，流域面积加权平均为29．99kg·hm^-2。甘蔗地、香蕉地和蔬菜地的年硝态氮渗漏量最高。渗漏峰值一般出现在7—8月。降雨、土地利用和化肥施用等人类活动是影响硝态氮渗漏淋失的主要因素。     

应用HYDRUS-1D模型模拟农田土壤水渗漏及硝态氮淋失特征

在定位试验基础上,应用HYDRUS-1D模型对黄淮海平原典型土壤(黄潮土)中土壤水渗漏及硝态氮淋失动态进行了模拟分析。结果表明:在传统水氮管理模式下,黄潮土2m土体深处的土壤水渗漏和硝态氮淋失非常严重,2个轮作期内,土壤水渗漏总量占地表总入水量的23.7%,硝态氮淋失总量占总输入N量的15.9%,冬小麦生长季的硝态氮淋失量大于夏玉米生长季;改良灌溉和改良施肥模式下产生的硝态氮淋失量比传统灌溉和传统施肥模式减少74.7%,节约灌溉水211.5mm、节省施N423.5kg·hm-2。     

黄潮土的土壤水渗漏及硝态氮淋溶研究

在黄淮海平原 1hm2 小麦 -玉米轮作田块上 ,利用水量平衡模型对黄潮土的土壤水渗漏和硝态氮淋溶状况进行了定量研究。结果表明 ,黄潮土的土壤水渗漏和硝态氮淋溶状况非常严重 ,全耕作年土壤水渗漏量达到2 73 .9mm ,为灌溉水量的 60 .6% ;硝态氮淋溶达到 81.8kg·hm-2 ,为氮输入总量的 15 .7%。     

小麦/玉米和蚕豆/玉米间作对土壤硝态氮累积和氮素利用效率的影响

提高氮肥利用效率,减少氮肥过量施用对环境造成的污染,是保障国家粮食生产和生态环境安全的关键.文章以甘肃河西灌区为试验地点,在0、300、450 kg·hm-2氮水平下,探讨了小麦(Triticum aestivum L.)/玉米(Zea mays L.)和蚕豆(Vicia faba L.)/玉米间作对土壤硝态氮累积和分布的影响.结果表明:随氮肥用量增加,0～60 cm土层土壤硝态氮相对累积量增加,100～200 cm土层降低.在3个氮水平下,蚕豆间作土壤硝态氮含量和累积量都低于单作.小麦间作在300 kg·hm-2氮水平下土壤硝态氮累积量都低于单作,但在0和450 kg·hm-2氮水平下,小麦收获后间作与单作近似,玉米收获后小麦间作土壤硝态氮累积量都低于单作.与小麦和蚕豆间作的玉米在300 kg·hm-2氮水平下土壤硝态氮累积量都低于单作玉米,在0和450 kg·hm-2氮水平下则表现不同.在300 kg·hm-2氮水平下,两种间作氮肥当季利用率都明显高于相应的单作,施氮量增加到450 kg·hm-2时,则表现不一样.     

不同施氮水平对玉米产量、氮素利用效率及土壤无机氮含量的影响

通过研究不同施氮水平对玉米产量、氮素利用率及土壤硝态氮(NO3--N)和铵态氮(NH4+-N)残留量的影响,为氮肥的合理利用提供依据.在黑龙江省农业科学院科技园区布置田间小区试验,结果显示:玉米产量随施氮量增加而增加,施氮量为165 kg·hm-2时,氮肥利用率最高,当施氮量高于165 kg·hm-2,产量反而有降低的趋势,过量施氮也并不能增加玉米对氮素的吸收,因而氮素利用率也随施氮量的增加而降低.玉米收获后土壤剖面无机态氮质量分数的变化因施氮量的不同而表现出差异,0~80 cm土层硝态氮积累量随氮肥输入量的增加而显著增加,以表层(0~40 cm)硝态氮质量分数最高,中间层(60~80 cm)质量分数最低,100 cm以下土层以施氮量为165 kg·hm-2的处理土壤硝态氮积累量最低,降低了硝态氮淋溶风险;铵态氮的质量分数相对较低,不同的施氮量对土壤铵态氮质量分数的影响主要在0~20 cm土层,铵态氮质量分数与施氮量并无显著的相关关系.综合考虑玉米产量、氮素利用率与生态环境效益,以165 kg·hm-2(优化施氮量)为最佳氮肥施用量.     

基于WNMM模型的潮土地区农田水氮优化管理

应用农田水氮管理模型(water and nitrogen management model,WNMM)模拟潮土水氮运移过程,以建立针对该地区气候环境和土壤性质的田间水氮优化管理方案.利用田间试验对WNMM模拟结果进行了校验,结果表明该模型能较好地模拟潮土地区的土壤水氮运移过程,农田蒸散量、土壤含水量和硝态氮含量的模拟值与实测值在α=0.01水平上相关显著,误差范围也令人满意.根据土壤实时水氮含量数据,建立了按作物生长亏缺动态调整灌溉、施氮的优化农田水氮管理方案.在多年平均气象条件下,与传统管理模式相比,优化管理模式不仅能为作物生长提供更好的土壤水肥条件,而且每年可节约灌溉水163.5 mm、氮肥130 kg·hm-2,减少土壤水渗漏264.6 mm、氮素淋失71.1 kg·hm-2.     

不同施肥模式对华北平原小麦-玉米轮作体系产量及土壤硝态氮的影响

为了探索培育高产粮田的施肥模式,实现氮肥资源的高效利用与环境效益,以华北平原的小麦（Triticum aestivum）-玉米（Zea mays L.）轮作体系作为研究对象,通过2007─2011年4个轮作季,探讨不同的施肥模式对作物产量和土壤硝态氮的影响。试验以处理A（当地传统管理）作为对照,从测土确定施肥量、按作物生长发育明确施肥时期、合理分配各时期的养分配比及增施有机肥等方面改变传统施肥模式,设置3种高产施肥培育模式,分别为处理B（现有高产田推荐管理）、处理C（高肥料投入管理）和处理D（水肥高效管理）,进行田间小区试验。4个轮作季的总产量以处理D为最高,达75430 kg·hm-2,其次是处理C为75166 kg·hm-2,当地传统的产量最低。冬小麦季的吸氮量为处理C和D显著高于A处理,分别高出444.78 kg·hm-2和310.20 kg·hm-2,但与处理B无显著差异;处理D在夏玉米季的吸氮量为776.75 kg·hm-2,显著高于处理A。处理B的氮肥偏生产力值最高为38.21,处理D为36.71,处理A和C均为28.33。各处理经过4个轮作季后,土壤硝态氮均在120-160 cm出现累积峰,A、B、C和D的硝态氮峰值分别为58.65、28.98、105.89、45.29 mg·kg-1。在0-100cm土层,处理B的硝态氮累积量达到144.22 kg·hm-2,显著高于处理A、C、D;所有处理在100-200 cm土层均出现较高的硝态氮累积,处理C高达1021.19 kg·hm-2;0-400 cm的土壤硝态氮累积量分别为724.27、711-92、1324.30、730.70 kg·hm-2。处理A、B、C、D在耕层土壤氮素的表观损失分别为1298.95、653.18、1236.39和718.43 kg·hm-2,处理B、D显著低于处理A、C,D和B间差异不显著。因此,处理D是培育高产的理想施肥模式,合理的施肥量、科学的施肥时期以及有机无机的合理配比是达到高产、提高肥效和环境友好的关键。     

施肥对华北高产区土壤NO-3-N淋失与作物NO-3-N含量及产量的影响

利用4a的平衡施肥定位试验，研究太行山山前平原高产区冬小麦、夏玉米轮作制度下施肥对潮褐土中硝态氮的分布、移动、积累、植株吸收以及作物产量的影响。结果表明，土壤剖面中硝态氮含量与施肥量直接相关，过量施用氮肥使硝态氮在土壤中大量积累并向下层快速移动；氮磷对作物的养分供应存在着既相互促进又相互竞争的关系，施用适量磷肥可以促进小麦、玉米对氮素的吸收，提高作物产量，减少氮素在土壤中积累和淋失，但施磷量太高，由于氮磷之间的竞争作用，作物吸氮量反而下降，从而导致土壤中硝态氮的积累和淋失加剧，施用钾肥抑制了土壤硝态氮积累，促进了两季作物植株对氮素的吸收，从减少土壤硝态氮积累和淋失的角度，提出该区合理的施肥配比为组合N2P2K2，即ρA(N)=200kg hm^-2，ρA(P)=32．5kg hm^-2，ρA(K)=150kg hm^-2。图6参13。     

菜田土壤氮素淋失及其调控措施的研究进展

从菜田中硝态氮的动态变化、土壤氮素的矿化、硝态氮对地下水的影响等几方面概述了近年来国内外的研究进展，介绍了渗漏测定计法、土壤溶液提取器和15N同位素示踪技术等3种测定土壤氮素淋失的研究方法其应用前景；论述了影响菜田土壤氮素淋失的主要因素和降低菜田土壤氮素淋失的丰要调控措施；提出了今后菜田土壤氮素淋失应加强的研究方向。     

灌淤土施氮后土壤硝态氮的动态变化

通过室内模拟试验，探讨不同水分条件下灌淤土施用不同氮肥后硝态氮随时间的变化规律，并在田间条件下，测定不同氮肥形态和数量对土壤硝态氮含量的影响。灌淤土施氮后土壤硝态氮含量变化与土壤含水量及氮肥种类有关。施肥9d后，土壤中的硝态氮迅速增加；土壤水分低于田间持水量的50％或水分过饱和都明显影响灌淤土的硝化作用；施用大颗粒尿素产生的硝态氮最少，淋失或流失的几率小。灌淤土土体中硝态氮的残留与施氮种类及数量有直接关系。施肥使土壤表层硝态氮显著增加，施用大颗粒尿素尤为突出，但施大颗粒尿素后，60cm土体中残留的硝态氮总量最少。随着施氮量增加，表层土体中硝态氮含量增加。合理的施肥水平一般不会造成硝态氮的大量累积，而过量施氮则导致硝态氮明显积累，对通气透水性好的灌淤土，容易造成硝态氮淋失。     

Eco-hydrological modelling in a highly regulated lowland catchment to find measures for improving water quality

Water quality modelling in the meso-scale Rhin catchment in the German federal state Brandenburg was done (1) to answer some specific questions concerning identification of point and diffuse sources of nutrient pollution in the catchment, (2) to assess the influences of possible climate and land use changes on water quantity and quality and (3) to evaluate potential measures to be done in order to achieve a “good ecological status” of the river and its lakes as required by the Water Framework Directive (WFD).The Rhin catchment is a typical highly regulated lowland river basin in Northern Germany. The regulations complicate water quantity and quality modelling in the catchment. The research was done by using the eco-hydrological model SWIM (Soil and Water Integrated Model), which simulates water and nutrient fluxes in soil and vegetation, as well as transport of water and nutrients to and within the river network. The modelling period was from 1981 until 2005. After calibrating the hydrological processes at different gauges within the basin with satisfactory results, water quality (nitrogen and phosphorus) modelling was done taking into account the emissions of different point sources (sewage treatment plants, etc.) and identifying the amount of diffuse pollution caused mainly by agriculture.For suggesting some feasible measures to improve water quality and to reduce diffuse pollution considering possible climate and land use changes, different reasonable scenarios were applied in consultation with the Environmental Agency of Brandenburg (LUA). The study revealed that the amount of water discharge has significant influence on the concentration of nutrients in the river network, and that nitrogen pollution, caused mainly by diffuse sources, could be notably reduced by application of agricultural measures, whereas the pollution by phosphorus could be diminished most effectively by the reduction of point source emissions.     

PCBs,PCDDs and PCDFs in soil samples from uncontrolled burning of waste electrical material for metal reclamation

PCDDs, PCDFs and PCBs have been analysed in soil samples where waste electrical equipment has been burned directly on the ground in three locations of Burgos (Spain). High levels of PCDDs, PCDFs and PCBs were detected in the centre of combustion sites. The results show PCB levels between 0.824 and 1.240 μg/g, and PCDDs and PCDFs levels between 8.73–36.37 ng/g and 12.79–50.95 ng/g. The I‐TEF values between 2.96–9.15 for dioxins and furans indicate that these soils are heavily polluted and may represent a risk for human and animal health.     

小集水区酸化过程观测研究

在贵阳市近郊一封闭的小集水区设置了环境酸化过程试验场.本文介绍了试验场中观测点的布置、各项观测的方法和要求、经过长时间的观测和试验,取得了从酸沉降开始,穿过树冠,渗入土壤,最后进入地面水的全过程中各个环节化学行为和互相影响的可靠数据,由此得知贵州省酸性黄壤对酸化的缓冲能力不强,即容易发生酸化,并且有毒铝离子容易释放等重要信息.     

南方城市化山地区小流域集水工程规划

为提高南方山地丘陵区充沛降水的利用效率 ,缓解山地城镇用水短缺、自然生境大量丧失、河道及水库干涸且污染严重等生态环境危机 ,文章利用GIS技术 ,对研究区所处的小流域原始地表水系网络和集水区进行了恢复和划分 ,结合土地利用类型特征对各集水区产流量进行了估算 ,在此基础上提出了小流域集水工程的布置方案。     

复合指纹识别泥沙来源:潜在泥沙源地的选择

复合指纹识别技术应用于泥沙源解析的前提是假设研究者能够确定流域内泥沙的潜在来源类型,并且各泥沙源地所占比例之和为1,对潜在源地预判的不确定性将会对结果产生一定的影响。以南京市九乡河上游流域为例,对不同源地各指纹因子做均值显著性检验,检验各个预判源地能否单独作为潜在泥沙源地,同时对比分析不同沙源地对复合指纹因子判断泥沙来源正确率的影响,定量分析沙源地预判过程中的不足,探讨如何减少沙源地选择对泥沙来源识别的影响。通过对比研究发现,预判的4种泥沙源地被重新调整为农田、林地和道路3种类型。调整后各源地指纹因子差异性明显提高,不同泥沙来源的正确判别率最高达到89.2%,泥沙贡献率从高到低依次为农田(39.9%~87.8%)、林地(0.1%~47.7%)和道路用地(0~25.6%)。     

Observations on metal concentrations in commercial landings of two species of tilapia (Oreochromis mossambicus and Oreochromis niloticus) from reservoirs in six river basins in Sri Lanka

Samples of the muscle of two species of tilapia (Oreochromis mossambicus and O. niloticus; 17–20 cm length) were obtained from at least one reservoir in each of the six river basins (Aruvi Aru, Kala Oya, Kirindi Oya, Ma Oya, Mahaweli, and Walawe Ganga catchments) in Sri Lanka. The metals Ca, Cu, Fe, K, Mg, Mn, Na, and Zn were consistently detected in the muscle tissue. Overall, there were few differences in the concentration of metals between the two species of fish, although there were also some statistically significant differences (p < 0.05) in the concentrations of some metals in fish obtained from some of the reservoirs. Aruvi Aru stands out as a river basin in which the two fish species have significantly lower concentration of metals when compared to other river basins. The concentration of the metals studied were below WHO and FSANZ guideline values for fish, suggesting that the consumption of the metals found in tilapia from these reservoirs poses little risk to human health.     

典型喀斯特表层岩溶带地下水化学特征——以贵州清镇王家寨喀斯特小流域为例

以喀斯特小流域为研究尺度,对清镇市王家寨退耕还林（草）示范区内的9个表层岩溶泉进行了一个水文年的系统监测,并借助SPSS统计软件开展了泉点的聚类分析研究,旨在从常规水化学角度为流域退化生态环境的恢复与重建提供科学依据。从结果来看,虽然所有泉点的水化学类型均为HCO3-Ca型,但是根据K＋、Na＋、Ca2＋、Mg2＋、F-、Cl-、NO3-、HCO3-、SO42-等指标的具体差异,还是可以将9个泉点分为3组：（1）位于流域上游分水岭处的S8、S9泉点,由于远离居民集聚区,受到人类活动的影响程度弱,泉水中EC和各主要离子的质量浓度均很低,[Ca2＋]＊与[HCO3-]的关系说明泉水流经地区的岩石类型主要为白云岩;（2）位于流域中部的S2、S3、S4、S5、S6和S7泉点,靠近居民点,受到人类活动的影响程度明显增强,泉水中EC和各主要离子的质量浓度也相应增大,[Ca2＋]＊与[HCO3-]具有与第一组泉水完全不同的特征,表明此组泉水流经地区的岩石类型为白云质灰岩;（3）位于流域下游的S1泉点,处于村寨下游,受到人类活动的影响最大,泉水中EC和各主要离子的质量浓度也很高,[Ca2＋]＊与[HCO3-]的关系与第二组泉点相似,但是[SO42-]和[F-]远高于前2组泉点,这可能是由于在泉水的运移路径上有富含石膏和氟的岩石存在。     

The effects of catchment land use on water quality and macroinvertebrate assemblages in Otara Creek,New Zealand

The effect of catchment land use on water quality and macroinvertebrate communities was examined by using data gathered during a 2004 reconnaissance of nine sites in the Otara Creek, New Zealand. Data collected included macroinvertebrate, water chemistry and sediments characteristics. Macroinvertebrate data were used in metric and index calculations. A total of 61 macroinvertebrate taxa, with 3032 total individuals, were identified from the macroinvertebrates samples collected from nine sites in Otara Creek. The greatest number of macroinvertebrate taxa was recorded within bush sites (mean>25), while the urban sites had the least number of taxa (mean=10). Pasture sites were intermediate with the mean>17. Taxa number differed significantly across land use. Mean macroinvertebrates abundance varied across the sites and land uses. The highest macroinvertebrates mean abundance was recorded in urban and pasture sites, while bush sites had significantly lower mean abundance. Physico-chemical parameters decreased from bush toward urban streams. Biotic indices were sensitive to changes in macroinvertebrates community structure across land uses with mean scores decreasing from bush to urban and pasture streams. Ordination of biological data showed a clear separation of bush from urban and pastures streams. Analysis of similarities revealed significant differences in macroinvertebrates between both stream groups and land-use groups. The observed macroinvertebrate assemblage pattern was best correlated with a single variable, conductivity, temperature, turbidity, nitrate and dissolved oxygen. The combination of these environmental variables best explained the changes in the macroinvertebrate assemblages between sites. This study demonstrates that catchment land use may significantly affect the water quality and macroinvertebrate communities in an ecosystem.