两淮采煤沉陷区水域水体富营养化及氮、磷限制模拟实验

选取两淮采煤沉陷区内3个不同营养水平的水域为研究站点,即淮北南湖站(HBNH)、淮南潘谢顾桥站(PXGQ)和潘谢谢桥站(PXXQ),首先分析了水体营养盐含量、比例结构和营养状态指数,3个站点TP浓度的年均值分别为0.056、0.064和0.092 mg/L,TN浓度年均值则为1.00、0.94和2.67 mg/L,3个站点水体呈现"中营养-轻度富营养"和"中度富营养"2种营养状态,总体上表现出P相对N缺乏的特征.设置对照组、加氮组、加磷组和加氮磷组开展秋季氮、磷限制模拟实验研究.结果表明:HBNH、PXXQ两个站点为P限制,而PXGQ站点则为N限制.尽管水体正磷酸盐浓度较低,但由于藻类具有利用有机磷或储备P库的能力,3个研究站点依然保持了较高的初级生产力,HBNH、PXGQ和PXXQ 3个站点的叶绿素a浓度年均值分别为13.07、26.95和46.25 mg/m³,与各水体的营养水平保持一致.两淮采煤沉陷区水体富营养化控制关键可能在于调控磷元素的水平.     

淮南采煤沉陷区内小型塌陷湖泊轮虫群落结构特征

在淮南潘谢矿区内设置3个水文生态环境条件差异较大的小型煤矿塌陷湖泊研究站点,分别为潘谢潘集站(PXPJ)、潘谢顾桥站(PXGQ)和潘谢谢桥站(PXXQ),于2013 2014年4个季度分别对这3个湖泊的轮虫群落结构组成特征及水生态环境因子影响因素进行分析.共观察到轮虫15属32种,其中PXPJ站点13属25种,PXGQ站点13属24种,PXXQ站点11属20种.3个塌陷湖泊轮虫群落结构具有较大的时空分布差异,主要优势种为曲腿龟甲轮虫、罗氏异尾轮虫、前节晶囊轮虫、卜氏晶囊轮虫和针簇多肢轮虫.PXPJ、PXGQ、PXXQ站点轮虫丰度范围分别为500~2800、950~3350、400~3900 ind./L,3个站点Shannon-Wiener多样性性指数的平均值分别为2.71、2.68和2.54,体现了塌陷湖泊β中污染型水质环境的特点.轮虫群落结构与环境因子的冗余分析结果表明:水温、电导率和营养盐等环境因子对淮南采煤塌陷湖泊的轮虫群落结构影响较大.     

淮南迪沟采煤沉陷区湖泊后生浮游动物群落结构及其影响因子

2015年8月-2016年6月对安徽省迪沟采煤沉陷区湖泊后生浮游动物群落结构及环境因子进行了调查,研究了其群落结构及与环境因子的关系.共发现后生浮游动物16科27属53种,其中轮虫38种,枝角类9种,桡足类6种,优势种为萼花臂尾轮虫(Brachionus calyciflorus)、角突臂尾轮虫(B.angularis)、蒲达臂尾轮虫(B.budapestiensis)、针簇多肢轮虫(Polyarthra trigla)、曲腿龟甲轮虫(Keratella valga)、螺形龟甲轮虫(K.cochlearis)、长额象鼻溞(Bosmina longirostris)和透明温剑水蚤(Thermocyclops hyalinus).密度和生物量平均值分别为965.00±541.91 ind./L和3.42±2.17 mg/L.密度峰值出现在2015年2月,而生物量峰值出现在10月,最低值均出现在12月.后生浮游动物密度的空间分布呈现西低东高的趋势,而生物量空间分布呈现西高东低的趋势.Shannon-Wiener多样性指数、Margalef丰富度指数和Pielou均匀度指数分别为2.07~3.22、0.83~1.72和0.67~0.80.冗余分析及Pearson相关性分析结果表明,浮游植物生物量、水温、营养盐等是影响后生浮游动物群落结构的主要因子.综合理化指标、营养状态指数、后生浮游动物优势种及生物多样性指数结果表明,迪沟采煤沉陷区湖泊已处于轻度富营养状态.     

淮南采煤沉陷区积水水文地球化学及氢氧稳定同位素特征

以安徽淮南采煤沉陷积水为研究对象,通过样品采集与测试,研究不同沉陷年限及类型积水水文地球化学和氢氧稳定同位素组成特征及影响因素.结果表明：（1）研究区水化学类型主要为Cl-Na、HCO₃·Cl-Na型,沉陷积水中常量离子主要来源于蒸发岩溶解和硅酸盐风化,受蒸发作用和人为活动的影响明显,水化学组成随沉陷时间和类型变化不大.（2）淮南大气降水线方程为：δD=8.85δ¹⁸O+18.73,沉陷区积水氢氧稳定同位素值在淮南大气降水线右下方依次分布并接近降水线,表明沉陷积水主要来源于大气降水.（3）在降水稀释、水体蒸发及地下水补给的作用下,随着沉陷年限的增加,积水中重同位素越来越贫化,同一年限不同类型的积水同位素值变化较小.     

生态补水对白洋淀流域地表水和地下水水化学特征的影响

生态补水是维持和改善白洋淀生态环境的重要途径.为研究生态补水对白洋淀水环境的影响,分别在补水前与补水后采集淀水、河水及地下水样品,分析区域地表水和地下水水化学特征.结果表明：（1）白洋淀补水前、后地表水与地下水的水化学组成中Na⁺为主要阳离子,补水后阴离子以HCO₃^-为主,淀区南部地表水电导率高;补水后地表水与地下水Ca²⁺、Mg²⁺和HCO₃^-浓度显著增加,水体电导率降低.（2）补水前地下水为Na-HCO₃型水,地表水主要为Na-Cl·SO₄及Na-Cl·HCO₃类型;补水后地表水与浅层地下水向Ca·Mg-HCO₃型演化,深层地下水水化学类型基本保持不变.（3）生态补水使白洋淀水位升高,淀区水面积增大,缓解了水资源短缺的问题;同时也使浅层地下水水化学组成发生改变,而深层地下水暂未受到影响.生态补水后,受稀释和混合作用的影响,水体Na⁺、Cl^-和SO₄^2-浓度显著下降,Ca²⁺、Mg²⁺及HCO₃^-浓度增加.在白洋淀生态补水中应"先治污,后补水",以减少补水过程中污染物向淀区的运移,还应注意区域地下水位上升过程中的阳离子交换及水岩相互作用,为合理调配生态补水及改善白洋淀生态环境提供科学依据.     

采煤沉陷区输电铁塔复合防护板基础抗变形性能及其板厚取值研究

以某采煤沉陷区内的典型输电铁塔及其复合防护板基础工程为背景,考虑地基-基础-上部铁塔结构的共同作用,对不同板厚复合防护板基础的抗采动变形性能进行了研究,并引入＂保护作用＂的概念,对独立基础和复合防护板基础的抗变形性能进行了分析。研究表明,设置复合防护板后,与独立基础相比,可明显减少铁塔支座的水平位移及上部结构的应力,支座位移与结构应力随着复合大板厚度的增大而减小,其减小的幅度随着板厚的增大而趋缓,当板厚达到一定数值以后几乎不再减小。提出的复合防护板的厚度可取铁塔基础长向根开的1/45～1/35的建议,以供采煤沉陷区内复合防护板基础的设计参考。     

非稳沉采煤沉陷区沉积物-水体界面的氮、磷分布及迁移转化特征

以淮南后湖非稳沉采煤沉陷区沉积物-水体界面为研究对象,分析该湖未开发区(A区)、水产养殖区(B区)和水生蔬菜种植区(C区)3个功能区上覆水-间隙水-沉积物体系中氮、磷分布及其迁移特征.结果表明,氮、磷在不同水体界面的分布差异较大.其中上覆水中氮、磷浓度表现为A区B区C区;间隙水中氮、磷分布差异不显著,然而各功能区间隙水的氮、磷浓度明显高于上覆水,氮、磷主要由间隙水向上覆水中移动;沉积物中氮、磷含量以C区最高.后湖采煤沉陷区水体表现出氮污染、磷限制的现象.     

太湖流域平原水网区浅层地下水动态特征及影响因素

鉴于浅层地下水在维持区域生态功能方面的重要作用,基于2005-2015年太湖平原水网地区苏州市的14个浅层地下水监测井水位及2005-2014年降水、河道水位和蒸发等日尺度数据,开展浅层地下水埋深动态特征及影响因素研究.结果显示:苏州市浅层地下水总体呈由北往南、自西向东的流场方向,主要受地形因素的影响;年际及丰水期埋深有所减小,枯水期反之,各区域变化过程不一致;枯水期浅层地下水动态特征受不同量级降水总量和次数的显著影响,且与地表水过程关系密切,汛期反之.此外均受到引排水和下垫面变化等因素的影响;浅层地下水埋深对降水具有滞后性,多滞后1~2 d;通过对地形地貌条件、土地利用类型、河湖密度以及浅层地下水埋深状况等因素的综合分析,浅层地下水动态特征可表达为耕地区、水网密布区、高度城镇化区及低山林区4种特征类型.     

淮北煤田宿临矿区现今地温场分布特征及其影响因素

淮北煤田是我国华东地区最主要的能源供给基地之一,研究其现今地温场特征既是强烈的现实要求,也具有十分重要的理论意义.本文在淮北煤田宿临矿区区域地质研究的基础上,根据位于宿临矿区内不同构造单元中的8个主要煤矿井田及其邻近区域111个钻孔的测温数据,绘制了矿区现今地温\|深度关系图、现今地温梯度\|深度关系图以及不同构造单元的现今地温梯度分布图,分析了宿临矿区现今地温场的分布特征.研究表明,宿临矿区现今地温梯度分布范围介于1.50～3.80 ℃/hm,整个矿区平均现今地温梯度约为2.65 ℃/hm,与华北其他主要能源盆地相比有所差异.宿临矿区现今地温梯度在相同构造单元内分布具有褶皱隆起区高、断裂密集区域高的特点;不同构造单元中井田的平均现今地温梯度相比较则表现出由东部构造单元至西部构造单元逐步增高的趋势.分析表明,区内现今地温场主要受构造格局和岩性变化影响.     

城市湖泊不同水生植被区水体温室气体溶存浓度及其影响因素

为了解城市湖泊不同水生植被区水体温室气体的溶存浓度及其影响因素,于2015年4-11月按每月2次的频率采用顶空平衡法对聊城市铃铛湖典型植被区——菹草区、莲藕区和睡莲区表层水中CO₂、CH₄和N₂O的溶存浓度进行监测,计算水中温室气体的饱和度和排放通量,并测定水温（T）、pH、溶解氧（DO）、叶绿素a及营养盐浓度等理化指标,以探究水体环境因子对温室气体溶存浓度的影响.结果表明,铃铛湖各植被区水体温室气体均处于过饱和状态,是大气温室气体的"源";莲藕区CH₄浓度、饱和度和排放通量均显著高于菹草区,而各植被区N₂O和CO₂均无显著性差异;不同植被区湖水中DO、总氮（TN）、总磷（TP）和硝态氮（NO₃^--N）浓度具有显著差异,其中DO、TN和NO₃^--N浓度均表现为菹草区最高,莲藕区最低,而TP浓度则正好相反;各植被区温室气体浓度和水环境参数间的相关分析和多元回归分析的结果表明,水生植物可通过影响水体的理化性质对温室气体的产生和排放产生显著差异影响,在菹草区亚硝态氮（NO₂^--N）、NO₃^--N、T和DO是控制水体温室气体浓度的主要因子;睡莲区为TP和pH;莲藕区则为pH、NO₂^--N和DO.     

神府矿区隐蔽采空区相关致灾因素分析及勘查技术

本文在分析神府矿区隐蔽采空区相关致灾因素基础上,针对该区隐蔽采空区主要相关致灾因素特点进行了勘查方法重新划分,对各勘查技术方法测网密度、参数选择等进行优化,形成一套精细勘查神府矿区隐蔽采空区相关致灾地质因素的技术体系.为了充分发挥不同勘查方法对隐蔽采空区不同致灾因素响应特征的的优点,分别采用浅层地震技术勘查采空区范围、瞬变电磁法技术勘查积水区位置;采用同位素测氡技术和钻孔测温、测气技术勘查火区和有毒有害气体;采用钻孔电视技术和钻孔冲洗液漏失量观测技术勘查采空区顶板;采用三维激光扫描精确勘查房柱式采空区残留煤柱尺寸.该体系研究成果为神府矿区采空区隐蔽灾害评估、治理提供参考依据.     

Using multivariate statistical techniques and geochemical modelling to identify factors controlling the evolution of groundwater chemistry in a typical transitional area between Taihang Mountains and North China Plain

Identifying the key factors controlling groundwater chemical evolution in mountain-plain transitional areas is crucial for the security of groundwater resources in both headwater basins and downstream plains. In this study, multivariate statistical techniques and geochemical modelling were used to analyse the groundwater chemical data from a typical headwater basin of the North China Plain. Groundwater samples were divided into three groups, which evolved from Group A with low mineralized Ca-HCO₃ water, through Group B with moderate mineralized Ca-SO₄-HCO₃ water, to Group C with highly saline Ca-SO₄ and Ca-Cl water. Water-rock interaction and nitrate contamination were mainly responsible for the variation in groundwater chemistry. Groundwater chemical compositions in Group A were mainly influenced by dissolution of carbonates and cation exchange, and suffered less nitrate contamination, closely relating to their locations in woodland and grassland with less pronounced human interference. Chemical evolution of groundwater in Groups B and C was gradually predominated by the dissolution of evaporites, reverse ion exchange, and anthropogenic factors. Additionally, the results of the inverse geochemical model showed that dedolomitization caused by gypsum dissolution, played a key role in the geochemical evolution from Group A to Group B. Heavy nitrate enrichment in most groundwater samples of Groups B and C was closely associated with the land-use patterns of farmland and residential areas. Apart from the high loads of chemical fertilizers in irrigation return flow as the main source for nitrate contamination, the stagnant zones, flood irrigation pattern, mine drainage, and groundwater-exploitation reduction program were also important contributors for such high mineralization and heavy NO₃⁻ contents in Group C. The important findings of this work not only provide the conceptual framework for the headwater basin but also have important implications for sustainable management of groundwater resources in other headwater basins of the North China Plain.     

Spatio-temporal variability of surface soil water content and its influencing factors in a desert area,China

Abstract

Knowledge of the variability of soil water content (SWC) in space and time plays a key role in hydrological and climatic modelling. However, limited attention has been given to arid regions. The focus of this study was to investigate the spatio-temporal variability of surface soil (0–6 cm) water content and to identify its controlling factors in a region of the Gobi Desert (40 km²). The standard deviation of SWC decreased logarithmically as mean water content decreased, and the coefficient of variation of SWC exhibited a convex upward pattern. The spatial variability of SWC also increased with the size of the investigated area. The spatial dependence of SWC changed over time, with stronger patterns of spatial organization in drier and wetter conditions of soil wetness and stochastic patterns in moderate soil water conditions. The dominant factors regulating the variability of SWC changed from combinations of soil and topographical properties (bulk density, clay content and relative elevation) in wet conditions to combinations of soil and vegetation properties (bulk density, clay content and shrub coverage) in dry conditions. This study has important implications for the assessment of soil quality and the sustainability of land management in arid regions.     

近40年洞庭湖区内湖水面面积变化及其驱动因素

选择1979-2016年间多时期、多类型、多光谱遥感数据,分析评价洞庭湖区内湖近40年的面积变化.结果表明,最近40年洞庭湖区内湖面积保持相对稳定,丰水期间呈上升趋势,枯水期间波动下降,2016年内湖总面积比1980s初减少3.94%.随着湖泊面积增加,湖泊水面面积变化的比例和幅度逐渐减小,大型湖泊（>10 km²）和中型湖泊（5~10 km²）面积相对稳定,小型内湖（<5 km²）面积变化尤为剧烈.内湖水面面积主要受降雨、蒸发等气候因素和生产生活取水、防洪排涝和退田还湖等人为活动调控.1980-2000年和2001-2015年两个时期,洞庭湖区多年平均降雨量呈现不同程度的下降趋势,多年平均蒸发量明显上升.三峡工程运行后,三口分流衰减,但水资源需求量不断增长,退田还湖和留蓄雨洪作为水资源使得丰水期间内湖水面面积增长,气候变化和水资源开发利用导致枯水期水面面积趋于减少.有必要加强洞庭湖区内湖的研究和保护,适当退田还湖提高湖泊率,优化三口水系格局,实施河湖水系连通工程,缓解洞庭湖区季节性水资源紧张问题.     

Impacts of nutrient management and decrease in paddy field area on groundwater nitrate concentration: a case study at the Nasunogahara alluvial fan,Tochigi Prefecture,Japan

In order to help evaluate the trends in the NO₃-N concentration in groundwater with a view to preventing further degradation in water quality in the future, a distributed groundwater quality model was constructed for the Nasunogahara basin. The best fit for the groundwater table elevations by the flow component of the model was achieved with average mean absolute errors (MAEs) of 0·92 m for the calibration period and 0·83 m for the validation period. Moreover, the best fit for the NO₃-N concentration by the water quality component was achieved with average mean relative errors (MREs) of 29·8% for the calibration period and 30·3% for the validation period. After developing a robust model, various change scenarios were tested; specifically, the effects of effluent load control and a decrease in paddy field area on the NO₃-N concentration in groundwater were predicted. The most intensively farmed area contributed about 40% of the total effluent load because of livestock farming in the basin. When the effluent load from this area was decreased by 50%, the average NO₃-N concentrations at sites S1, S2 and S3 were reduced by about 15%; however, the average concentrations at S4 and S5 were reduced by only 1%. Furthermore, when the total effluent load from the concentrated livestock area was removed completely, the average groundwater NO₃-N concentrations at S1, S2 and S3 were reduced by about 30% as compared with the original calculated results. In contrast, decreasing the area of the paddy fields in the basin did not greatly influence the groundwater NO₃-N concentration. In the case of a 70% reduction in paddy field area, average NO₃-N concentrations increased by about 7% at S1, S2 and S3. Copyright © 2008 John Wiley & Sons, Ltd.