低透突出煤层深孔水力致裂增透与浅孔抽采联合消突技术应用

为提高低透突出煤层的瓦斯抽采效果,在薛湖煤矿2303风巷进行了深孔水力致裂与潜孔抽采联合消突技术的试验应用.首先结合现场实际情况,从注水压力、钻孔布置和现场施工等方面研究了施工技术工艺,然后从应力分布、瓦斯解吸速度、钻屑瓦斯解吸指标、瓦斯抽采浓度等方面考察了水力致裂增透效果和联合消突技术的消突效果.应用表明,深孔水力致裂增透与浅孔抽采联合消突技术,工作面前方支承压力、瓦斯解吸速度、钻屑瓦斯解吸指标均大幅降低,瓦斯抽采浓度明显提高,抽采效果明显,为同类矿井的防突工作提供了可借鉴的技术和经验.     

Estimation of Evapotranspiration Across the Conterminous United States Using a Regression With Climate and Land‐Cover Data1

Sanford, Ward E. and David L. Selnick, 2012. Estimation of Evapotranspiration Across the Conterminous United States Using a Regression with Climate and Land‐Cover Data. Journal of the American Water Resources Association (JAWRA) 1‐14. DOI: 10.1111/jawr.12010 Abstract: Evapotranspiration (ET) is an important quantity for water resource managers to know because it often represents the largest sink for precipitation (P) arriving at the land surface. In order to estimate actual ET across the conterminous United States (U.S.) in this study, a water‐balance method was combined with a climate and land‐cover regression equation. Precipitation and streamflow records were compiled for 838 watersheds for 1971‐2000 across the U.S. to obtain long‐term estimates of actual ET. A regression equation was developed that related the ratio ET/P to climate and land‐cover variables within those watersheds. Precipitation and temperatures were used from the PRISM climate dataset, and land‐cover data were used from the USGS National Land Cover Dataset. Results indicate that ET can be predicted relatively well at a watershed or county scale with readily available climate variables alone, and that land‐cover data can also improve those predictions. Using the climate and land‐cover data at an 800‐m scale and then averaging to the county scale, maps were produced showing estimates of ET and ET/P for the entire conterminous U.S. Using the regression equation, such maps could also be made for more detailed state coverages, or for other areas of the world where climate and land‐cover data are plentiful.     

Estimating Annual Groundwater Evapotranspiration from Phreatophytes in the Great Basin Using Landsat and Flux Tower Measurements

Escalating concerns about water supplies in the Great Basin have prompted numerous water budget studies focused on groundwater recharge and discharge. For many hydrographic areas (HAs) in the Great Basin, most of the recharge is discharged by bare soil evaporation and evapotranspiration (ET) from phreatophyte vegetation. Estimating recharge from precipitation in a given HA is difficult and often has significant uncertainty, therefore it is often quantified by estimating the natural discharge. As such, remote sensing applications for spatially distributing flux tower estimates of ET and groundwater ET (ET_g) across phreatophyte areas are becoming more common. We build on previous studies and develop a transferable empirical relationship with uncertainty bounds between flux tower estimates of ET and a remotely sensed vegetation index, Enhanced Vegetation Index (EVI). Energy balance‐corrected ET measured from 40 flux tower site‐year combinations in the Great Basin was statistically correlated with EVI derived from Landsat imagery (r² = 0.97). Application of the relationship to estimate mean‐annual ET_g from four HAs in western and eastern Nevada is highlighted and results are compared with previous estimates. Uncertainty bounds about the estimated mean ET_g allow investigators to evaluate if independent groundwater discharge estimates are “believable” and will ultimately assist local, state, and federal agencies to evaluate expert witness reports of ET_g, along with providing new first‐order estimates of ET_g.     

ESTIMATING PARAMETERS OF EV1 DISTRIBUTION FOR FLOOD FREQUENCY ANALYSIS1

ABSTRACT: The parameters of the extreme value type 1 distribution were estimated for 55 annual flood data sets by seven methods. These are the methods of (1) moments, (2) probability weighted moments, (3) mixed moments, (4) maximum likelihood estimation, (5) incomplete means, (6) principle of maximum entropy, and (7) least squares. The method of maximum likelihood estimation was found to be the best and the method of incomplete means the worst. The differences between the methods of principle of maximum entropy, probability weighted moments, moments, and least squares were only minor. The difference between these methods and the method of maximum likelihood was not pronounced.     

滇池流域水资源的开发与保护

本文介绍了滇池流域的自然条件和社会经济发展,分析了水资源特点,对其开发现状和供需预测作了评述,并提出了进一步开发和保护水资源的建议。     

页岩-钢渣组合填料湿地强化脱氮除磷研究

以城市污水A/O工艺出水为处理对象,运用页岩和钢渣物化除磷、调控进水碳氮比和氮素氧化性等技术手段,在中试规模上研究了页岩和钢渣组合填料湿地的脱氮除磷效能及影响因素.结果表明,当COD面积负荷率、TN面积负荷率、TP面积负荷率、HRT(水力停留时间)分别为6.5～20.7 g·(m²·d)^-1、2.57～8.22 g·(m²·d)^-1、0.41～1.32 g·(m²·d)^-1、0.5～1.6d时,①氨氮、亚硝态氮和硝态氮的去除率分别为85.8%、56.3%和18.6%,TN去除率为58.0%,TN面积负荷去除率为3.58g·(m²·d)^-1,TN反应动力学常数为0.31 m·d^-1,TN面积负荷去除率随进水TN负荷的增加而线性增加.②TP去除率为90.4%,TP面积负荷去除率为0.89 g·(m²·d)^-1,TP反应动力学常数为0.86 m.d^-1,TP面积负荷去除率随进水TP负荷的增加而线性增加.③水温、HRT、氮素组分、C/N等因素对湿地系统的脱氮除磷效率有显著影响.TN面积负荷去除率随HRT、COD/TN值的增加而幂函数增加.TN面积负荷去除率随水温(、NO₂^--N+NO₃^--N)/TN值的增加而呈指数函数增加.     

潜流湿地处理不同浓度有机污水的差异分析

通过供氧平衡及物质平衡理论分析和实证研究,探讨根系泌氧、水中自带溶解氧、植物吸收营养物在湿地净化中的贡献,并通过落空运行来启动大气复氧.结果表明,当处理Ⅳ类以下地表水时,根系泌氧和水中携氧可使基质内为好氧环境、出水DO>0;植物吸收和介质吸附可使N、P去除稳定.当处理生活污水时,植物供氧不足,基质内为缺氧/厌氧环境、铵氧化细菌和亚硝酸氧化菌数量只有氨化细菌的1/1 000～1/100,出水DO≈0,使基质易堵塞;植物吸收和介质吸附有限,氮去除率≤20%;磷去除率随介质吸附容量的饱和逐渐下降,运行前3个月去除率为54%,运行1a以后降低到5%.潜流湿地处理生活污水时污染负荷远大于植物供氧和吸收营养物的上限,是其存在技术局限的根本原因.启动大气复氧是湿地工艺改进的一个重要方向,预沉-常规湿地对COD、NH₄⁺-N、TN、TP的去除率为79%、34%、36%、34%,预沉-落空湿地则为79%、88%、14%、69%,必须合理利用大气复氧才能实现去除总氮的最终目的.     

运行条件下潜流型人工湿地溶氧状态研究

对种有多种植物的水平推流式潜流湿地处理污水厂初沉池出水的运行特性和氧分布状况以及人工湿地氧的空间分布和时间变化规律进行了较全面的研究.结果表明,人工湿地中氧浓度普遍较低,其空间分布呈现两边低、中间高的规律,垂直方向上沿层下降;其时间变化规律为夏季>春季>秋季>冬季,1天中14:00时氧浓度最高,上午高于下午.5种湿地植物的供氧能力比较结果为芦苇>美人蕉>茶花>富贵竹>空心菜.试验表明,人工湿地氧环境的研究有利于揭示湿地内部的净化机理,提高湿地的净化效率,具有一定的理论研究价值.     

Geochemical and biological controls on trace metal transport in an acid mine impacted watershed

Water samples collected in an acid mine impacted watershed indicated that the concentrations of dissolved trace metals were diurnally influenced by mineral saturation, which is controlled primarily by pH and water temperature. Measurements taken suggested that these variations only occur at sample locations immediately downstream from the confluence of acidic and alkaline waters. It is at these locations where initial mineral precipitation occurred and where subtle changes in solubility were most affected, increasing trace metal removal when both the rate of photosynthesis (influencing pH in headwaters) and water temperature were at a maximum. The role of iron photoreduction (increased midday production of ferrous iron) on overall Cu, Mn, and Zn transport was also evaluated, but found to be inconclusive. Iron photoreduction may however influence adsorption and/or coprecipitation of trace metals through associated changes in oxidation state, solubility, and mineralogy of various iron colloids, which are produced upon the neutralization of acidic, metal enriched water. Furthermore, measured values of copper and zinc were compared to relative USEPA chronic criterion for exposure to continuous concentration (CCC) of metals by the calculation of a “toxicity unit” (TU). It was found that average values of both copper and zinc only exceeded the CCC (TU>1) in the acid mine-impacted Leona Creek. In general, zinc toxicity decreased while copper toxicity increased downstream of the confluence of the mine impacted Leona Creek and background Lion Creek (sampled at Lake Aliso), indicating a significant source of zinc in upstream, non mine-impacted samples.     

EQUILIBRIUM EVAPORATION AND POSITWE EVAPORATION-SURFACE TEMPERATURE RELATIONSHIPS ACROSS A GRASSLAND1

Sensible (H) and latent (LE) heat fluxes, soil moisture (SM) and surface temperatures (T_s) were analyzed from seven sites at FIFE to evaluate relationships among the spatial variability of evaporative fraction, EF, SM, and the diurnal surface temperature range (T_dr). Intersite correlations between EF and T_dr were significantly negative for regional average soil moisture SM_r < 20 percent, insignificant for 20 < SM_r < 27 percent, and slightly positive for SM_r > 27 percent. Statistical analysis of the pooled correlation coefficient between EF and T_dr for SM_r < 20 percent indicates that it is less than zero at a very high level of significance, while the pooled correlation coefficient for regional SM_r > 27 percent is greater than zero at the 10 percent level. The positive EF:T_dr correlations are attributed to increased surface vapor pressure at warmer sites under nearly potential conditions. These results suggest that to characterize the spatial variability of the energy budget partitioning, a variable representing the thermal response of the site should be included. An important application of these findings relates to modeling the subgrid variability of a region by subdividing the region into a few classes within which surface variables and parameters are assumed invariant. The thermal response of the surface should be included as a variable in defining these classes.