Spatiotemporal changes in terrestrial water storage in the Beijing-Tianjin Sandstorm Source Region from GRACE satellites

The Sandstorm Source Control Project in and around the Beijing-Tianjin region was one of the most important ecological projects in China. Terrestrial water storage (TWS) has important impacts on the ecological construction, agriculture, industry, and resident’s lives. Based on the Gravity Recovery and Climate Experiment (GRACE) data, meteorological and Moderate Resolution Imaging Spectroradiometer (MODIS) data, etc., this paper analyzed spatiotemporal characteristics of TWS, groundwater storage, and precipitation, and explored the influencing factors of regional TWS combined with land use and land cover (LULC), social and economic data. The most important results were as follows: (1) From 2003 to 2016, TWS in the Beijing-Tianjin Sandstorm Source Region showed a decreasing trend with a rate of 3.14 mm yr⁻¹. (2) The TWS decline was caused mainly by groundwater overexploitation, but not precipitation variation. (3) Spatiotemporal variations of TWS were related to LULC. The area with the most serious decrease of TWS was mainly located in the southwestern part of the region, where farmland percentage and population density were greater. (4) Reducing the percent of farmland and tree planting, and adding the shrub and grass planting, could be a viable choice for the Beijing-Tianjin Sandstorm Source Control Project. These results provide a scientific basis for regional water resource and ecological management.     

Numerical experiments of watershed-scale soil water movement and bedrock infiltration using a physical three-dimensional simulation model

Numerical experiments of soil water movement and bedrock infiltration based on a simplified simulation method were conducted to analyze watershed-scale rainfall-runoff processes. To verify the model accuracy, it was applied to a Minamitani watershed (0.45 ha). The simulation was performed with 2.5-m space grids horizontally and five cells vertically. Results of long-term calculation of this model proved that this simulation model is robust and demonstrated good computational water mass conservation. Calculation results showed the best agreement with observed hydrographs and the number of groundwater levels simultaneously when laboratory-tested soil hydraulic characteristics for topsoil were used and infiltration into bedrock was included in numerical calculations. Numerical experiments show that bedrock infiltration generated a stable base flow and suppressed the secondary discharge peak. The reproducibility achieved by observed soil hydraulic characteristics with the assumption of bedrock flow demonstrates the effectiveness of the simulation model used in this article for analyses of watershed-scale soil water movements.     

达拉特旗井灌条件下农田水利用及地下水动态分析研究

以达拉特旗壕庆河流域为研究对象,通过对该区地下水位和水质的监测及农田水利用状况的调查,摸清地下水的年动态变化规律及水质分布,初步估算该研究区农田灌溉地下水年开采量,从而为本流域的地下水资源评价及合理开发,高效利用提供一定的依据。根据数据分析结果,地下水是从西南流向东北方向,补给黄河南岸引黄灌区。观测期间地下水位年际变化受降雨的影响较大,总体呈上升趋势,变化幅度为0.5～1.5m。pH值超过8.5,呈碱性水,部分区域地下水矿化度为0.5～0.9g/L,可用于农业灌溉,随着地下水流动的方向,水质逐渐变差,下游的盐分浓度最大到2.6g/L,需要合理进行灌溉防止土壤盐碱化。通过遥感图片识别分析计算出该区农田面积为1 398hm2,农业灌溉年开采地下水量为516万m3。     

地下水埋深对棉花灌溉制度的影响

针对黑龙港流域地下水位总体趋势持续下降的现象,结合沧州市南皮县棉田的原位试验,采用HYDRUS 1D模型进行数值模拟,分析不同地下水埋深条件下,地下水对棉花根系层的补给作用对灌溉制度的影响。结果表明,当全生育期地下水平均埋深为1.5、2m时,地下水对棉花根系层的补给量相当于实验棉田0.5~1.5倍的灌水定额。由此制定3种(1.5、2、3m)地下水埋深条件下不同降水水平年的棉田灌溉制度:播前灌之后,50%水平年不再灌溉;75%水平年当地下水平均埋深为3m时,灌一次花铃水;85%水平年在地下水平均埋深为2、3m时,各灌一次花铃水。地下水补给作用对棉花根系层土壤含水率存在着不可忽视的影响,特别是当地下水埋深不超过2m时制定棉田的灌溉制度应充分考虑地下水的补给作用。     

黄河三角洲地区典型地块地下水特征的空间变异性研究

以黄河三角洲地区典型地块为研究区,运用经典统计学和地统计学相结合的方法研究了包括埋深和含盐量的地下水性质空间变异特征,绘制了各地下水特征的随机性和结构性的半方差图和空间分布图。结果表明:受不同尺度的结构性因素和随机性因素的共同作用,地下水埋深和含盐量均具有中等的变异强度和空间自相关性,地下水埋深的自相关距大于含盐量。对Kriging插值结果分析表明:地下水埋深的空间变异性受微地形因素及农田工程措施影响较大,长期的农业生产措施会影响地下水含盐量的空间分布,地下水含盐量空间变异性与埋深有一定的关联。地下水特征的空间结构性和定量化研究对黄河三角洲地区地下水资源评价、土壤的次生盐碱化防治及区域水盐运动调控有着直接的现实意义。     

关于发展农业节水灌溉的建议

本文提出了农业节水的关键是：节水的主要潜力在河水灌　区，要按农业用水需要量控制灌溉水量，要在河水灌区积极开发利用浅层地下水和微咸水，　发展井渠结合灌溉的统一管理并改革水价．     

Electron donor and pH relationships for biologically enhanced dissolution of chlorinated solvent DNAPL in groundwater

Biologically enhanced dissolution offers a method to speed removal of chlorinated solvent dense non-aqueous-phase liquid (DNAPL) sources such as tetrachloroethene (PCE) and trichoroethene (TCE) from aquifers. Bioremediation is accomplished by adding an electron donor to the source zone where fermentation to intermediates leading to acetic acid and hydrogen results. The hydrogen and possibly acetic acid are used by dehalogenating bacteria to convert PCE and TCE to ethene and hydrochloric acid. Reductive dehalogenation is thus an acid forming process, and sufficient alkalinity must be present to maintain a near neutral pH. The bicarbonate alkalinity required to maintain pH above 6.5 is a function of the electron donor: 800 mg/L of bicarbonate alkalinity is sufficient to achieve about 1.2 mM TCE dechlorination with glucose, 1.7 mM with lactate, and a much higher 3.3 mM with formate. Laboratory studies indicate that in mixed culture, formate can be used as an electron donor for complete conversion to ethene, contrary to pure cultures studies indicating it cannot. Various strategies can be used to add electron donor to an aquifer for DNAPL dehalogenation while minimizing pH problems and excessive electron donor usage, including use of injection-extraction wells, dual recirculation wells, and nested injection-extraction wells.     

Soil properties and their spatial pattern in an oasis on the lower reaches of the Tarim River, northwest China

In this study, classical, geostatistical methods and a geographical information system have been used to identify soil properties including soil organic carbon (SOC), total nitrogen (total N), salt content (SC) and soil moisture (SM), and their spatial variation as well as their relationships with groundwater, land use, and soil texture. The data came from 36 soil samples from 0 to 20 cm depth, and 36 groundwater samples in the Tikanlik Oasis on the lower reaches of the Tarim River, northwest China. The objective was to provide a scientific basis for understanding the heterogeneity of the spatial distribution of soil properties on a large scale with the goal of accelerating the sustainable development of agriculture in the oasis. The results showed that the SC and SM of the surface soil varied greatly, but the SOC and total N varied very little. A possible reason for the low variability of SOC and total N was the relatively consistent human activities within the typical agricultural oasis with more than 75% land used as cropland and orchards, because there was no significant effect of land use types on soil total N and SOC. Geostatistical analysis and the kriging estimator showed that SC and SM had a strong spatial autocorrelation. One-way ANOVA and LSD suggested that land use was the main structural indicator that resulted in the spatial autocorrelation of SC and SM within the 0-20 cm soil depth through its significant differences in soil texture, irrigation and groundwater. In particular, croplands and orchards had significantly higher SM, silt and clay particle percentages and lower SC compared to other land uses due to regular irrigation. Additionally, irrigation could effectively relieve the degree of the hazard from soil salt and soil water stress in cropland.     

Hydrological impacts of rainwater harvesting (RWH) in a case study catchment: The Arvari River, Rajasthan, India. Part 1: Field-scale impacts

Rainwater harvesting (RWH), the small-scale collection and storage of runoff to augment groundwater stores, has been seen as a solution to the deepening groundwater crisis in India. However, hydrological impacts of RWH in India are not well understood, particularly at the larger catchment-scale. A key element to grasping RWH impact involves understanding the generated recharge variability in time and space, which is the result of variability in rainfall-runoff and efficiency of RWH structures. Yet there are very few reported empirical studies of the impact of RWH. Catchment-scale impacts are best studied using a water balance model, which would require a basic level of field data and understanding of the variability. This study reports the results of a 2-year field study in the 476 km² semi-arid Arvari River catchment, where over 366 RWH structures have been built since 1985. Difficulties associated with working in semi-arid regions include data scarcity. Potential recharge estimates from seven RWH storages, across three different types and in six landscape positions, were calculated using the water balance method. These estimates were compared with recharge estimates from monitored water levels in 29 dug wells using the water table fluctuation method. The average daily potential recharge from RWH structures varied between 12 and 52 mm/day, while estimated actual recharge reaching the groundwater ranged from 3 to 7 mm/day. The large difference between recharge estimates could be explained through soil storage, local groundwater mounding beneath structures and a large lateral transmissivity in the aquifer. Overall, approximately 7% of rainfall is recharged by RWH in the catchment, which was similar in the comparatively wet and dry years of the field analysis. There were key differences between RWH structures, due to engineering design and location. These results indicate that recharge from RWH affects the local groundwater table, but also has potential to move laterally and impact surrounding areas. However, the greatest weakness in such analysis is the lack of information available on aquifer characteristics, in addition to geology and soil type.     

基于稳定同位素和贝叶斯模型的引黄灌区地下水硝酸盐污染源解析

地下水硝酸盐（NO₃^-）污染已经成为全球严重的水环境问题之一,由于饮用水中高含量NO₃^-会转化成亚硝酸盐而增加各种疾病和癌症风险,其来源的确定对于NO₃^-污染的预防和控制非常重要。本文以黄河下游第二大灌区——潘庄灌区为例,首次采用NO₃^-的氮氧稳定同位素结合贝叶斯模型追溯地下水NO₃^-的来源并量化各种来源的贡献比例。结果表明,地下水NO₃^-含量分布在0.1~197.0 mg·L^-1,平均值为34.2 mg·L^-1。与《生活饮用水卫生标准》中规定的地下水NO₃^-最大含量[20 mg（N）·L^-1,相当于NO₃^-含量90 mg·L^-1]相比,有10%的样品NO₃^-含量超标。井深<30 m、30~60 m和>60 m的地下水NO₃^-平均含量分别为25.9 mg·L^-1、39.7 mg·L^-1和20.1 mg·L^-1。空间上,宁津县、武城县、平原县和禹城市有大片区域地下水NO₃^-含量较高。地下水NO₃^-的δ¹⁵N组成范围为0.72‰~23.93‰,平均值为11.62‰;δ¹⁸O组成范围为0.49‰~22.50‰,平均值为8.46‰。同位素结果表明粪便和污水、农业化肥是地下水中NO₃^-的主要污染来源。这反映了人类活动是引起地下水NO₃^-污染的主要原因。贝叶斯模型结果显示,粪便和污水对潘庄灌区地下水中NO₃^-平均贡献率高达56.2%,化肥的平均贡献率为19.3%,大气降水和土壤的平均贡献率分别为6.2%和12.3%。由于污水、粪便和化肥是地下水中NO₃^-的主要来源,为保护和改善研究区地下水水质,建议加强污水管道建设,强化畜禽粪便的管理以及提高化肥利用效率。