井渠结合灌区水资源多目标优化配置模型与应用

将灌区的经济效益和生态环境效益结合在一起综合考虑,在灌区水资源配置时不仅只追求获得最大经济效益,同时尽量将地下水位控制在适宜范围内,以维持地下水资源的采补平衡,实现水资源的可持续利用。按此原则,建立了井渠结合灌区水资源多目标优化配置模型。实例计算表明：应用此模型指导井渠结合灌区的水资源配置可实现真正意义上的地表水和地下水联合运用,提高水资源利用效率。     

地中仪地膜棉灌溉试验特征分析

利用不同地下水埋深的地中仪进行地膜棉的灌溉试验,分析了地膜棉不同生育期时蒸发、入渗的变化特征：受地膜棉的蒸腾作用,灌溉入渗量随其日耗水量增加而显著减少;棉花根系吸水影响深度与其日耗水强度成指数关系,其根系吸水最大影响深度为2．76m;棉花根系利用地下水量随埋深增加而减小,棉田最佳的灌水湿润深度应小于1．0m,当灌水湿润深度超过1．5m时,其根系不能更多利用地下水,即可认为是深层入渗。     

混流式水轮机叶道空化涡诱发高振幅压力脉动特性

混流式水轮机部分负荷叶道空化涡不稳定特性已成为制约水电与其他可再生能源多能互补发展、扩大水轮机稳定运行范围急需研究的技术难题。该研究以HL702低水头混流式模型水轮机为研究对象,通过非稳态数值模拟技术及涡流可视化试验,对部分负荷工况下的叶道空化涡不稳定涡流演化及压力脉动特性展开研究。结果表明,叶道空化涡在水轮机转轮内为一个体积周期性变化的动态过程,其涡结构脉动主频为转轮转频的1.1倍。叶道空化涡诱发时,水轮机转轮叶片压力面和吸力面均捕捉到与涡结构频率相同的压力脉动信号。叶道空化涡体积的变化主要发生在转轮叶片背面出水边与下环交界附近,引起压力脉动幅值的局部放大。进一步分析发现,叶道空化涡发生工况下水轮机内部的瞬时压力脉动信号与空泡体积加速度成正比,表明涡流演化是引起压力脉动幅值上升的重要原因。研究进一步阐明了部分负荷工况叶道空化涡的演化特征,揭示了涡流诱发不稳定高振幅压力脉动的内在机制。     

绕水翼空泡脱落及其空化脉动特性

为改善水力机械抗空化性能,采用数值模拟与试验相结合的方法对NACA0015水翼非定常云空泡脱落机理进行研究,分析不同空化阶段下非定常空泡结构对翼型表面产生的空化脉动规律,探讨空化非定常过程中压力脉动产生的主要原因.结果表明:基于密度分域滤波器的湍流模型(FBDCM)能较好地模拟水翼表面空泡周期性脱落的非定常过程;在攻角为8°,空化数为1.25的工况下,空泡演化的非定常过程主要分为3个阶段,分别为附着型空泡形成与生长阶段、附着型空泡脱落与云空化形成阶段和云状空泡发展与溃灭阶段;在第二阶段结束时,空泡体积分数增至该周期内最大值;在第三阶段,由于空泡在翼型表面逐渐脱落并溃灭,翼型表面的压力水平逐渐回升,且回射流是空泡脱落的主要原因.     

三峡水库消落区植物群落结构及其季节性变化规律

为揭示三峡水库消落区出露期间植物群落结构特征的季节性变化规律,于2017年4、6和98月,设置了15个调查样地,并根据高程将消落区分为145~155 m、156~165 m和166~175 m等3个区域,并设置未水淹区域（高程176~-185 m）为对照。结果表明,消落区出露时间显著影响着植物群落的组成,随着出露时间的延长,消落区植物群落优势种及其优势度变化规律因植物的生活型不同呈现出相反的变化规律。从4月至8月,优势植物狗牙根、牛鞭草、喜旱莲子草等多年生草本植物优势度下降,鬼针草、苍耳、醴肠、水蓼、野胡萝卜、狗尾草等一年生草本植物优势度增加。而未水淹区植物优势种及其优势度变化规律不会因生活型不同而表现出不同的规律,不同地点的植物群落优势种差异较大,相对来说艾蒿较为优势,其次为小飞蓬。高程也是影响植物群落特征的主要因子,消落区植物群落Shannon-Wiener指数、Margalef指数、Simpson指数、植物高度均值显著低于未水淹区域,随着高程的增加,Shannon-Wiener指数、Margalef指数、Simpson指数生物多样性指数及、植物高度均值呈增加趋势。三峡水库消落区之所以呈现出目前的植物群落分布特征,植物内在的适应机制包括植物本身的冬季耐水淹能力、夏季抗旱能力、抗病虫害能力以及植物的及其繁殖对策、种源扩散对策等是主因,而外界环境条件,包括消落区土层厚度、地形坡度、土壤基质氮磷等营养盐,以及受水淹持续时间、水淹深度、高程、消落区出露时间等是其主要驱动因子。     

Contamination of shallow groundwater system and soil-plant transfer of trace metals under amended irrigated fields

This study focuses on experimental pilot assessment of contamination of shallow groundwater systems and soil-plant transfer of trace metals under amended irrigated fields. The study approach involved a pilot experimental (greenhouse) set-up of organo-mineral amended test plots/troughs (40 cm × 47 cm × 46 cm) planted with two common vegetable crops (Amaranthus hybridus and Abelmoschus esculentus) and irrigated with wastewater. In addition to the geochemical analyses of the primary un-amended and amended soils before planting as well as residual soils after harvesting, measurements of the physico-chemical parameters and chemical analyses of trace metals concentrations in irrigation leachates and harvested vegetable tissues were also undertaken following appropriate standard sample preparation and analytical methods.The results of the geochemical analyses carried out on irrigation leachate samples collected during the sprouting stage revealed that most of the analyzed trace metals in the collected leachates exhibited 2-10 folds depletion (except for Cu and Co with enrichment of about 1.5-3 folds) compared to the initial wastewater used for irrigation. A situation attributed to uptake/bioaccumulation of these metals and selective enrichment in the residual soils as well as to leaching by infiltrating irrigation water. Nonetheless, the observed higher trace elements concentrations in the second sets of leachates collected during harvesting stage compared to the first sets of leachates collected during the sprouting/vegetative stage is an indication of higher plant uptake during sprouting/vegetative stage or initial sorption/complexation of biosolids amendment before later vertical re-mobilization by infiltrating irrigation water.Although, virtually all of the analyzed metals exhibited elevated concentrations (2-173 ppm) in both A. hybridus and A. esculentus, a closer evaluation revealed 1.2-8.2 folds enrichment of Cr, Co, Ni, Cd, Cu, and Pb in A. esculentus compared to that of A. hybridus, an indication of the fact that phyto-accumulation of trace metal is plant-specific and dependent on physiological set-up. The overall evaluation had clearly demonstrated the potential danger of bioaccumulation of toxic trace metals under biosolid amended soils as well as impacts of irrigation-induced leaching on the shallow groundwater quality, while the need to evolve a sustainable agricultural practices is also highlighted.

Capsule

Organo-mineral amendment can lead to trace metal bioaccumulation (in plants) and irrigation-induced leaching to shallow groundwater system.     

易涝易渍农田地下水动态特征

地下水动态是评价易涝易渍农田生产稳定性的重要指标,基于湖北四湖流域大量调查观测资料对此进行了研究。结果表明,易涝易渍农田地下水位存在明显的年、季差异,呈现出一定的波动性,在不同季节以及不同水平年间波动幅度不大,绝对偏差一般只有1 0~2 0 cm左右,最大不超过4 0 cm,地下水位呈现出在高水位上波动的特点;从微地形地貌看,沿江地势较高的农田其地下水平均埋深和地下水位波动与地势低洼的滨湖农田明显不同,前者明显大于后者。在较大尺度上当降水很接近时,农田地下水埋深随微地貌分异并不显著;对于水网密织的南方平原湖区,农田地下水位变化与周边水体相联系并受其影响,在农田涝渍防治中必须处理好农田与周边水体的关系。     

中国畜牧业生产波动的特征及路径识别

基于1978—2016年畜禽产品年度产量数据,采用HP滤波技术和非线性MS-AR模型,分析中国畜牧业生产波动的特征,从畜牧业生产区制转换的视角剖析畜牧业生产波动的具体路径,探讨影响畜牧业生产波动和路径转换的原因。结果表明:从生产波动变化趋势上看,猪肉生产增长高峰期出现最早,其次是牛肉、羊肉、禽肉和禽蛋生产,牛奶生产增长高峰期出现时间最晚;从生产波动比较上看,猪肉生产波动幅度最小,其他畜牧产业生产波动幅度相对较大,各畜牧产业生产波动趋势存在差异,但近年来总体趋于收敛。通过模型识别将畜牧业生产划分为低速、中速和快速增长3个区制,低速和中速增长区制下各畜禽业产品产量平均增长率在3%和5%左右,而快速增长区制下平均增长率在10%以上;猪肉生产倾向于保持中速增长,牛肉、羊肉和牛奶生产容易出现低中速增长往复徘徊的现象,禽肉和禽蛋生产在各区制下均较为稳定且区制变迁较为平稳;改革开放以来,除牛奶产业以外,其他畜牧产业生产基本在低速或中速增长区制时间最长。基于此,提出针对不同畜禽产业在不同发展阶段相机制定不同调控政策,推动畜禽产业规模化养殖和产业化经营水平,提高畜禽产业抗冲击能力等建议。     

基于数值模拟的土壤水力参数对土壤水长程相关性的影响分析

为探究不同气候条件下土壤水力参数对土壤水长程相关性的影响,利用HYDRUS-1D模型,以湿润、半干旱和干旱气候区的气象数据为驱动,结合生成的砂土和黏壤土土壤水力参数集,模拟生成土壤水时间序列集;而后,利用去趋势波动分析法对生成的土壤水数据进行长程相关性分析.结果 表明:(1)土壤水标度指数(h)介于0.570～1.91...     

Impact of land use on nitrogen concentration in groundwater and river water

Abstract

The aim of this study was to evaluate the impact of land use on nitrate nitrogen (NO₃-N) in shallow groundwater (G-N) and total nitrogen (N) in river water (R-N). The study area consisted of 26 watersheds (1342 km²) covering 72% of Kagawa Prefecture in Japan. We estimated G-N specific concentrations, which showed the magnitude of the upland fields, paddy fields, forests and urban land-use contributions to watershed-mean G-N. G-N specific concentrations were gained as partial regression coefficients using a multiple regression analysis of the watershed-mean G-N concentrations and the land-use ratios in each of the 26 watersheds. The results showed that the G-N specific concentration, which was gained as the partial regression coefficient for the multiple regression analysis, was 15.2 mg L^?1, 10.3 mg L^?1, 2.3 mg L^?1 and 2.5 mg L^?1 for the upland fields, paddy fields, forests and urban land-use types, respectively. R-N pollution load runoff to the river mouth was calculated by multiplying R-N specific concentration (previously reported) by river flow at the river mouth. Similarly, G-N pollution load arrival to groundwater was calculated by multiplying G-N specific concentration by the groundwater flow. The R-N pollution load runoff was 19.3 kg ha^?1 y^?1, 7.7 kg ha^?1 y^?1, 1.7 kg ha^?1 y^?1 and 7.6 kg ha^?1 y^?1, while the G-N pollution load arrival was 7.3 kg ha^?1 y^?1, 5.0 kg ha^?1 y^?1, 1.1 kg ha^?1 y^?1 and 1.2 kg ha^?1 y^?1, for upland fields, paddy fields, forests and urban areas, respectively. These results showed that the N in river water and groundwater was derived mainly from runoff and leaching from croplands. Therefore, the relationships between watershed-mean non-absorbed, applied nitrogen (NAA-N: nitrogen applied to cropland via fertilizer and manure without being absorbed by crops), R-N concentration and watershed-mean G-N concentration were investigated. A curvilinear correlation was observed between NAA-N and R-N concentrations (r² = 0.68) except for one small, high-density, urban watershed, and a weak linear correlation was observed between NAA-N and G-N concentrations (r² = 0.42).