基于SWAT模型的东江流域径流模拟

基于分布式水文模型SWAT以及SUFI-2 程序对东江流域进行了51 a(1960-2010 年)月径流模拟,并在此基础上讨论了东江流域水文过程的空间差异。模拟结果表明,河源站受新丰江水库影响,模拟结果不确定性较大,确定性系数R2和Nash-Sutcliffe 效率系数相对其他站点较低,龙川站、岭下站、博罗站R2和Nash-Sutcliffe 效率系数皆满足模型适用性要求。流域出口博罗站率定期R2、Nash-Sutcliffe 效率系数分别为0.83、0.83,验证期为0.84、0.84,模型模拟精度较高。东江流域径流深主要受降水空间不均影响,形成由北向南先增后减的趋势。流域下垫面差异对产流过程也有一定影响。其中土壤含水量受土壤性质、人类活动等影响,由北向南差异明显;蒸散发量受植被覆盖影响亦较为明显,北部蒸散量占降雨量的比例大于中部及南部。     

Transferral of HMs pollution from road-deposited sediments to stormwater runoff during transport processes

Ratio of turbidity and TSS (Tur/TSS) was used to characterize PSD of stormwater particles. Pb and Zn preferred to accumulate in finer RDS, while Cu, Cr and Ni in coarser RDS. HMs pollution in stormwater particles increased linearly with Tur/TSS. Dissolvability of HMs and PSD variations contribute to the differences between RDS and stormwater. Stormwater runoff, derived from the wash-off of road-deposited sediments (RDS), contains elevated heavy metal (HM) concentrations and, thus, imposes an increasing threat to urban aquatic ecosystems. In-depth understanding of the variations of HMs pollution from RDS to stormwater during transport processes facilitates the development of effective RDS and stormwater control strategies. Toward this end, the distribution of HMs (Cu, Pb, Zn, Cr, and Ni) in RDS and stormwater were investigated simultaneously. The results show a preferential accumulation of Pb and Zn in the finer (<38.5 μm) RDS, and Cu, Cr and Ni in the coarser (38.5–150 μm) RDS. For stormwater, n.d.~48.6% of HMs fractionated into the dissolved phase, and stormwater particles constitute the primary carriers of HMs. Furthermore, the accumulation of HMs in stormwater particles increased linearly with finer particle size distributions (PSD). Geoaccumulation index (I_geo) highlighted the predominant pollution of both RDS and stormwater particles by Cu, Pb and Zn. Nonetheless, Cu, Pb, and Ni mostly contributed the potential ecological risk of RDS, whereas Cu, Pb, and Zn mainly contributed that of stormwater particles. Moreover, contamination by Cu, Pb and Zn was significantly higher in stormwater particles than that in RDS. These differences are attributable to the solubility and size-dependent accumulation of HMs in RDS, as well as the PSD variations during transport processes. The study outcomes highlight the importance of very fine (nano- and submicron- scale) RDS in stormwater pollution and the necessity of control.     

Hydrologic and water quality performance of a laboratory scale bioretention unit

A bioretention unit (BRU) or cell is a green infrastructure practice that is widely used as a low impact development (LID) technique for urban stormwater management. Bioretention is considered a good fit for use in China’s sponge city construction projects. However, studies on bioretention design, which incorporates site-specific environmental and social-economic conditions in China are still very much needed. In this study, an experimental BRU, consisted of two cells planted with Turf grass and Buxus sinica,was tested with eighteen synthesized storm events. Three levels (high, median, low) of flows and concentrations of pollutants (TN, TP and COD) were fed to the BRU and the performance of which was examined. The results showed that the BRU not only delayed and lowered the peak flows but also removed TN, TP and COD in various ways and to different extents. Under the high, medium and low inflow rate conditions, the outflow peaks were delayed for at least 13 minutes and lowered at least 52%. The two cells stored a maximum of 231 mm and 265 mm for turf grass and Buxus sinica, respectively. For both cells the total depth available for storage was 1,220 mm, including a maximum 110 mm deep ponding area. The largest infiltrate rate was 206 mm/h for both cells with different plants. For the eighteen events, TP and COD were removed at least 60% and 42% by mean concentration, and 65% and 49% by total load, respectively. In the reservoir layer, the efficiency ratio of removal of TN, TP and COD were 52%, 8% and 38%, respectively, within 5 days after runoff events stopped. Furthermore, the engineering implication of the hydrological and water quality performances in sponge city construction projects is discussed.

Open image in new window

     

绿色屋面降雨径流水质源汇特征及污染源解析

2016年4月—2017年10月对93场降雨事件绿色屋面径流、沥青屋面径流和干湿沉降进行采样分析,运用多元统计方法,基于径流水质浓度和污染负荷两种角度,重点揭示绿色屋面径流水质的源汇特征,识别绿色屋面对降雨径流的滞留能力及影响因素,探讨了绿色屋面径流的污染来源.结果表明：绿色屋面具有很好的径流滞留效果,平均径流滞留率达到53.4%.绿色屋面径流滞留率月变化受到降雨量的显著影响,表现为在丰水期7、8和10月径流滞留率（73.6%、80.9%和93.6%）小于枯水期4、5、11和12月滞留率（100%）.绿色屋面径流滞留率与降雨量和降雨历时表现出显著的负相关关系,与雨前干期相关性较弱.基于径流水质,绿色屋面显著增加了径流中EC、COD、TOC、K⁺、Ca²⁺、Cl^-和SO₄^2-的浓度,是它们的污染源,但显著降低了径流中NH₄⁺-N和Zn的浓度,是它们的汇;基于污染负荷,绿色屋面仅是K⁺、Cl^-和SO₄^2-的污染源,是NH₄⁺-N和Zn的汇.绿色屋面存在4类污染源,即有机物和重金属源（来自于泥炭土和沥青油毡）、离子污染源（来自于泥炭土和蛭石）、物化污染源和营养物质污染源（来自于泥炭土和大气沉降）.研究结果可为绿色屋面的科学设计,管理和控制城市暴雨径流提供科学依据.     

湿润亚热带森林锰、铜、锌随降雨分配的迁移动态特征

为探究森林生态系统中重金属随降雨分配迁移的特征,连续观测两年降雨,对比分析Mn、Cu、Zn在穿透雨、树干茎流、地表径流中浓度、输出量、变异情况的差异,并讨论了重金属迁移规律的产生机制.结果表明,林型对雨水的再分配有较大影响.米槠次生林树干茎流水量极显著大于杉木人工成熟林,故前者树干茎流的重金属浓度低于后者;对于林内雨,穿透雨中重金属浓度在米槠次生林（阔叶林）更高,树干茎流中重金属浓度则在杉木人工成熟林（针叶林）更高.整体而言,林内雨的重金属浓度在旱季高于雨季,表现出明显的季节变化;林型对地表径流的影响较复杂,体现在植被类型、林龄、土壤理化性质等方面.本研究中,Mn随地表径流的输出量在米槠次生林显著大于其它3种林型;Zn在较大林龄的米槠次生林和杉木人工成熟林有更大的输出量;降雨分配过程中3种元素的浓度变异情况有所不同,表现为Mn变异最大,Zn次之,Cu最稳定.本研究结果对进一步了解森林生态系统中重金属的迁移特征提供了依据.     

秃尾河流域径流衰减驱动力因子分析

掌握流域径流演变规律,探讨其影响因子,对流域水资源合理开发利用和科学管理具有重要的意义。论文依据秃尾河流域1956—2010年径流、降水资料以及榆林站1956—2010年气温资料,采用高桥浩一郎公式计算了流域蒸散发量,利用Kendall秩次检验法分析了流域降雨、径流和蒸发的趋势演变特性;采用主成分分析法研究了多因子对流域径流衰减的影响;建立了径流衰减量与主要影响因子之间的统计模型。结果表明：1）流域径流量呈显著减少趋势,而蒸发量和降水量减少趋势不显著;2）在径流衰减驱动力因子中,人类活动因子权重为71.1%,而气候因子权重为28.9%,各驱动力因子对径流衰减的贡献率由大到小依次为：林草>梯田>坝地>流域用水量>年降水量>年蒸发量;3）径流衰减量与林草、梯田的指数回归模型能较好地反映径流衰减量与驱动力因子之间的定量关系,可以为流域治理和水资源开发利用提供科学依据。     

平原地区复合土地利用系统中氮磷流失敏感区界定——以浙江大学华家池校区为例

为正确识别平原地区复合土地利用系统中氮磷流失敏感区,利用美国农业部水土保持局设计的水文模型中的CN值描述地表状况,反映不同土地利用条件下下垫面对土壤氮、磷流失的影响;运用等标污染负荷计算方法评估不同类型污染源强度;建立了复合土地利用系统中土壤氮、磷流失敏感区的综合指数评价体系.构建的氮、磷流失评价方法在浙江大学华家池校区的应用评价结果表明,氮磷流失敏感性高的区块主要为研究区内的居民区、畜牧场和一些施肥量大的种植区,而敏感性最低的区块集中在具有良好植被覆盖的绿化区.高的污染源和高的迁移因子叠加区构成了高的流失敏感区.     

Removing phosphorus from aqueous solutions by using iron-modified corn straw biochar

Iron-modified corn straw biochar was used as an adsorbent to remove phosphorus from agricultural runoff. When agricultural runoffs with a total phosphorus (TP) concentration of 1.86 mg·L⁻¹ to 2.47 mg·L⁻¹ were filtered at a hydraulic retention time of 2 h through a filtration column packed with the modified biochar, a TP removal efficiency of over 99% and an effluent TP concentration of less than 0.02 mg·L⁻¹ were achieved. The isotherms of the phosphorus adsorption by the modified biochar fitted the Freundlich equation better than the Langmuir equation. The mechanism of the phosphorus adsorbed by the modified biochar was analyzed by using various technologies, i.e. scanning electron microscopy (SEM), X-ray diffraction (XRD) analysis, X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared spectroscopy (FTIR). The results indicated that the surface of the modified biochar was covered by small iron granules, which were identified as Fe₃O₄. The results also showed that new iron oxides were formed on the surface of the modified biochar after the adsorption of phosphorus. Moreover, new bonds of Fe-O-P and P-C were found, which suggested that the new iron oxides tend to be Fe₅(PO₄)₄(OH)₃. Aside from removing phosphorus, adding the modified biochar into soil also improved soil productivity. When the modified biochar-to-soil rate was 5%, the stem, root, and bean of broad bean plants demonstrated increased growth rates of 91%, 64%, and 165%, respectively.     

基于自适应调整蚁群-RBF神经网络模型的中长期径流预测

径流预测历来是水利部门的一项重要工作,针对水库和河流中长期径流预测精度不高,提出了自适应调节人工蚁群算法(ARACS),对RBF神经网络参数进行优化,建立了自适应调节人工蚁群-RBF神经网络组合算法(ARACS-RBF)预测模型,综合考虑影响径流预变化因素,对安康水库进行中长期径流预测。对预测效果进行检验,结果证实该模型可真实地反映河川径流变化的总体趋势, 并为判断时间序列数据的非线性提供了一种新方法。与RBF神经网络模型、人工蚁群-RBF神经网络模型预测结果进行对比,结果表明,应用ARACS-RBF模型对中长期径流量进行预测,预测精度更高、效果更好。该方法克服了RBF神经网络和人工蚁群算法易陷于局部极值、搜索质量差和精度不高的缺点,改善了RBF神经网络的泛化能力,收敛速度快,输出稳定性好,提高了径流预测的精度,置信度为98%时的预测相对误差小于6.5%。可有效用于水库和河川中长期径流预测。     

1960-2006年闽江流域径流演变特征

基于闽江流域1960-2006年逐月径流、降水以及气温等资料,应用Mann-Kendall趋势分析、经验模态分解等方法,探讨流域径流演变规律及其对气象要素变化的响应特征。结果表明:①闽江流域年径流呈上升趋势,其上升主要来自非汛期径流的贡献;秋季和冬季径流始终以上升趋势为主;夏季径流20世纪90年代以来呈上升趋势,而春季径流则呈现下降趋势。②流域降水和气温均存在上升趋势,尤以气温上升为显著;径流的上升趋势比降水显著。③径流和降水变化均存在多尺度特征,降水变化周期大于径流;80年代以来,径流和降水的年代际变化振荡幅度有所减弱,而年际变化的波动幅度在加强。分析表明,闽江流域径流上升趋势较降水显著的原因,一方面是由于流域蒸发的减少和降水强度的增大;另一方面是流域下垫面特征改变等因素的影响。