Evaluation and Trend Analysis of Surface Water Quality in Zhengzhou in 1998–2008

Abstract

Water pollution is one of the major environmental problems, especially in urban areas. Due to rapid urban expansion and industrialization, water pollution in Zhengzhou City, the capital of Henan Province in central China has become a serious problem for its development. In this study, the surface water quality was evaluated using Nemerow Comprehensive Pollution Index (NCPI), and the change trend was calculated using methods of Mann-Kendall test and Sen’s slope estimator, based on the monitoring data from 1998 to 2008. The results show that the NCPI ranged from 3 to 50 in 70% of the monitoring cases, implying that most rivers were seriously polluted. However, this serious polltuon is expected to be gradually improved, as the concentration of water pollutants and NCPI declined significantly in most rivers. Water pollution in reservoirs was much lower than rivers, and the NCPI in the three monitored reservoirs was lower than 3 in most years, and shows a downward trend. Although the surface water quality was gradually improved, great efforts are still needed to enhance the protection and improvement of surface water environment.     

水热溶剂对Cu/CeO2-TiO2催化CO2加氢制甲醇反应性能的影响

以高暴露（001）面锐钛矿TiO₂为载体,使用3种不同溶剂（甲醇、乙二醇和丙三醇）水热负载CeO₂,进而以CeO₂-TiO₂为载体采用硼氢化钠还原法负载Cu,合成Cu/CeO₂-TiO₂催化剂用于催化CO₂加氢制甲醇.XRD、SEM、BET、ICP-OES、XPS、H₂-TPR、EPR和CO₂-TPD等表征表明,以 甲醇/水为混合溶剂合成的CeO₂-TiO₂（CT-M）载体中CeO₂粒径较小、Ce³⁺浓度较高,更有利于Cu的负载与分散,形成紧密接触的三相界面;其负载Cu的催化剂CCT-M经焙烧、还原后形成的CuCeTi三相界面相互作用更强,可产生更多的表面Ce³⁺、氧空位和体相Ti³⁺,表面Ce³⁺、氧空位和体相Ti³⁺等缺陷有利于CO₂的吸附活化,较小粒径的Cu则可加速氢解离,因此,CCT-M具有更多的CO₂加氢反应活性位点,表现出最优的CO₂加氢产甲醇活性.     

井下支护作业人员颈部肌肉疲劳特性研究*

为探究井下支护作业人员颈部肌肉疲劳受伸张和屈曲角度变化的影响,采用表面肌电法（sEMG）实验模拟测量7种点位角度下,颈部夹肌、斜方肌以及胸锁乳突肌在不同作业频率时的疲劳情况,以积分肌电值(iEMG)及中值频率（MF）评价各肌肉疲劳程度。研究结果表明:低频实验中随点位角度的增大,颈部屈曲活动时,胸锁乳突肌疲劳变化明显,iEMG疲劳前后差值最大为1.55,MF下降率最大为0.60;颈部伸展活动时,夹肌疲劳变化明显,iEMG疲劳前后差值最大为1.59,MF下降率最大为0.59;斜方肌未表现出明显疲劳变化规律。高频实验相较低频实验疲劳发生速度加快,疲劳积累程度显著提升,颈部活动主要肌肉疲劳发生时间由16~19 min提前至13~17 min,各肌肉MF下降速度为低频实验的1~1.55倍。     

不同尺度土地利用方式对地表水环境质量的影响及驱动机制

土地利用作为人类活动的重要载体对地表水环境状况有重要影响.以若尔盖湿地为例,基于面向对象的土地利用类型遥感解译,结合水质检测数据,从小流域和缓冲区尺度,分析不同尺度土地利用方式对地表水环境的影响及驱动机制.结果发现：（1）若尔盖湿地水质为Ⅴ类水,且整体呈现轻度富营养化,主要污染物为总氮（TN）和总磷（TP）,污染来自生活污水和放牧;（2）土地利用方式与地表水环境质量联系紧密,水体面积占比与化学需氧量（COD）呈现负相关关系、沼泽面积占比与TN呈现正相关关系和TP呈现负相关关系;（3）不同尺度土地利用方式与地表水环境存在显著关联性,1 000 m缓冲范围内的土地利用方式解释度最高,200 m的土地利用方式对COD的解释度最大,500 m的土地利用方式对TP和TN的解释度最大,800 m的土地利用方式对叶绿素（Chl-a）的解释度最大.本研究结果表明：若尔盖湿地对污染物和富营养化有一定的净化作用,但不同的土地利用方式对不同污染物作用存在差异,水体对Fe²⁺、 COD和Chl-a有净化作用,沼泽对TP有净化作用但对TN却呈现累积效应.应控制小尺度（≤1 000 m）的土...     

Streamflow Hydrology Estimate Using Machine Learning (SHEM)

Continuity and accuracy of near real‐time streamflow gauge (streamgage) data are critical for flood forecasting, assessing imminent risk, and implementing flood mitigation activities. Without these data, decision makers and first responders are limited in their ability to effectively allocate resources, implement evacuations to save lives, and reduce property losses. The Streamflow Hydrology Estimate using Machine Learning (SHEM) is a new predictive model for providing accurate and timely proxy streamflow data for inoperative streamgages. SHEM relies on machine learning (“training”) to process and interpret large volumes (“big data”) of historic complex hydrologic information. Continually updated with real‐time streamflow data, the model constructs a virtual dataset index of correlations and groups (clusters) of relationship correlations between selected streamgages in a watershed and under differing flow conditions. Using these datasets, SHEM interpolates estimated discharge and time data for any indexed streamgage that stops transmitting data. These estimates are continuously tested, scored, and revised using multiple regression analysis processes and methodologies. The SHEM model was tested in Idaho and Washington in four diverse watersheds, and the model's estimates were then compared to the actual recorded data for the same time period. Results from all watersheds revealed a high correlation, validating both the degree of accuracy and reliability of the model.     

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework

This study assesses a large‐scale hydrologic modeling framework (WRF‐Hydro‐RAPID) in terms of its high‐resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km²). The reference observations used include eight‐day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre‐calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity‐dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency ~0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large‐scale hydrologic forecasts.     

Statistical Models to Predict and Assess Spatial and Temporal Low‐Flow Variability in New England Rivers and Streams

In the northern hemisphere, summer low flows are a key attribute defining both quantity and quality of aquatic habitat. I developed one set of models for New England streams/rivers predicting July/August median flows averaged across 1985–2015 as a function of weather, slope, % imperviousness, watershed storage, glacial geology, and soils. These models performed better than most United States Geological Survey models for summer flows developed at a statewide scale. I developed a second set of models predicting interannual differences in summer flows as a function of differences in air temperature, precipitation, the North Atlantic Oscillation (NAO) index, and lagged NAO. Use of difference equations eliminated the need for transformations and accounted for serial autocorrelations at lag 1. The models were used in sequence to estimate time series for monthly low flows and for two derived flow metrics (tenth percentile [Q10] and minimum 3‐in‐5 year average flows). The first metric is commonly used in assessing risk to low‐flow conditions over time, while the second has been correlated with increased probability of localized extinctions for brook trout. The flow metrics showed increasing trends across most of New England for 1985–2015. However, application of summer flow models with average and extreme climate projections to the Taunton River, Massachusetts, a sensitive watershed undergoing rapid development, projected that low‐flow metrics will decrease over the next 50 years.     

Seasonal and Flood‐Induced Variations in Groundwater–Surface Water Exchange in a Northern Coldwater Fishery

Groundwater upwelling is important to coldwater fisheries survival. This study used stable isotopes to identify upwelling zones within a watershed, then combined isotope analyses with reach‐scale monitoring to measure surface water–groundwater exchange over time. Research focused on Amity Creek, Minnesota, a basin that exemplifies conditions limiting coldwater species survival along Lake Superior's North Shore where shallow bedrock limits groundwater capacity, lowering baseflows and increasing temperatures. Groundwater‐fed reaches were identified through synoptic isotope sampling, with results highlighting the importance of isolated shallow surficial aquifers (glacially derived sands and gravels) for providing cold baseflow waters. In an alluvial reach, monitoring well results show groundwater was stored in two reservoirs: one that reacts quickly to changes in stream levels, and one that remained isotopically isolated under most flow conditions, but which helps sustain summer baseflows for weeks to months. A 500‐year flood demonstrated the capacity of high‐flow events to alter surface water–groundwater connectivity. The previously isolated reservoir was exchanged or mixed during the flood pulse, while incision lowered the water table for years. The results here provide insight for streams that lack substantial groundwater inputs yet maintain coldwater species at risk in a warming climate and an approach for managers seeking to protect cold baseflow sources.     

Streamflow Depletion Modeling: Methods for an Adaptable and Conjunctive Water Management Decision Support Tool

Groundwater pumping depletes streamflow, which can have significant ecological impacts depending on the magnitude of depletion relative to environmental flow needs. Streamflow depletion estimates from groundwater pumping have been quantified using both analytical and numerical methods, but are not routinely compared to environmental flow needs or used in practical water management tools. Decision support tools that incorporate groundwater dynamics are becoming increasingly necessary for water managers as groundwater regulations become more important in environmental policy, particularly concerning the preservation of environmental flow needs. We develop and apply methods for a web‐based decision support tool for conjunctive groundwater and surface water management, demonstrated using a case study watershed in British Columbia, Canada. Open‐source data are analyzed with a combination of spatial algorithms and previously developed analytical models, such that the tool can be applied to other regions. Streamflow depletion estimates are calculated in four regions in the largely undeveloped Bulkley Valley, British Columbia. Our transparent methodology has geographic and data input flexibility which is a significant improvement on currently existing water management tool methods.     

稻田种植对地表径流污染状况调查研究

以辽宁省营口市水稻种植区为研究区域,通过对监测地块实地调研、资料收集、监测分析,在稻田整个作物生长周期化肥、农药的施加等情况下开展氮、磷污染物对地表径流污染状况的调查研究.结果表明:化肥、农药的施加均会使受纳水体中总磷、总氮质量浓度升高,施肥后总氮质量浓度上升最显著,绿色种植在扣除总氮背景值后达到37.7 mg/L,有...