水质快速检测设备的硬软件设计及实现

[目的]研制本质快速检测设备,实现水质的现场多指标快速检测.[方法]对设备的硬件及软件进行了设计.硬件设计包含了1P2303芯片、锂电,Cortex-M3型ARM微控制器、树莓派显示系统、光频转换器等的设计;软件设计则包含了软件设置、项目选项、项目测量结果以及测量数据表格输出等模块的设计;并对水质快速检测设备的可靠性进行了试验检验.[结果]通过对该设计的设备硬件和软件合理搭配连接,从而研发出了水质快速检测设备.用该设备与国家标准要求的设备同时测定某一河道水样的5项指标结果发现,3个样点水样中铁、氨态氮、氟化物、硝酸盐和6价铬含量的两组数据值接近,无明显差异.虽然国家标准法检测下限比快测法高一个数量级,但快速设备的测定结果不影响操作员对水质的判断,说明该水质快速检测设备精密度高;两种测定方法的稳定性比较,结果快速测定法的5个指标数据的相对偏差略高于国家标准法(3.92％),但其测定结果能够较好地满足现场测定要求,说明该水质快速检测设备稳定性良好.[结论]该水质快速检测设备的检测精度和稳定性较高,可满足水质的现场快速检测要求.     

Assessment of irrigation scenarios to improve performances of Lingot bean (Phaseolus vulgaris) in southwest France

In the context of climate change, producing the same amount of food with less water has become a challenge all over the world. This is also true for the Lingot bean production in the area of Castelnaudary of southwest France where market competition with imported bean has made it crucial to achieve high yields to maintain production in the area. The use of an appropriate and robust crop model can help to identify crop management solutions to face such issues. We used SSM-legumes, a crop model generic to legume species, as well as field observations recorded over five years on eight farms of the Castelnaudary area to assess the effect of different irrigation scenarios on bean yield and water consumption. First, it was demonstrated that the SSM-legumes model is robust in simulating the development and growth of Lingot bean in non-stressed or moderately stressed conditions of this region regarding water and nutrient availability. Then, the use of the model to compare irrigation scenarios provided guidance on how to improve irrigation management for Lingot bean production. These results showed that farmers could achieve slightly higher yields with less water by basing irrigation decisions on the water content of the soil.     

Assessing appetite of the swimming fish based on spontaneous collective behaviors in a recirculating aquaculture system

In order to realize the real-time appetite-based feeding in aquaculture, a novel and practical method, based on the quantification of the spontaneous collective behaviors, was proposed in this study to assess the real-time appetite of the swimming fish in a recirculating aquaculture system. First, foreground feature points of fish school were extracted using an improved complex network. Then, covariance, a modified social force model and a kinetic energy model were used to analyze the collective behaviors of the school from perspectives of dispersion degree, interaction force and the changing magnitude of the water flow field, respectively. Finally, the quantified behavioral characteristics were integrated and used to assess the appetite of fish school. The presented method shows its good performance in the expression of the collective behaviors representing five typical appetites (0.01, 0.52, 1.28, 2.26 and 2.92), and the assessing accuracy of the appetite of the school is also maintained at a low non-match rate ((2.19 ± 0.81)% best) in the context of ten different sampling durations.     

Electron Transport Through Photosystem II Is Not Limited By A Wide Range of Water Deficit Conditions In Field‐Grown Gossypium hirsutum

Despite exhaustive literature describing drought stress effects on photosynthesis in Gossypium hirsutum, the sensitivity of photosynthetic electron flow to water deficit is heavily debated. To address this, G. hirsutum plants were grown at a field site near Camilla, GA under contrasting irrigation regimes, and pre‐dawn water potential (Ψ_PD), stomatal conductance (g_s), net photosynthesis (P_N), actual quantum yield of photosystem II (Φ_PSII) and electron transport rate (ETR) were measured at multiple times during the 2012 growing season. Ψ_PD values ranged from ?0.3 to ?1.1 MPa. Stomatal conductance exhibited a strong (r² = 0.697), sigmoidal response to Ψ_PD, where g_s was ≤0.1 mol m^?2 s^?1 at Ψ_PD values ≤ ?0.86 MPa. Neither Φ_PSII (r² = 0.015) nor ETR (r² = 0.010) was affected by Ψ_PD, despite exceptionally low Ψ_PD values (?1.1 MPa) causing a 71.7 % decline in P_N relative to values predicted for well‐watered G. hirsutum leaves at Ψ_PD = ?0.3 MPa. Further, P_N was strongly influenced by g_s, whereas ETR and Φ_PSII were not. We conclude that photosynthetic electron flow through photosystem II is insensitive to water deficit in field‐grown G. hirsutum.     

单叶刺槐半同胞子代叶片的滞尘能力及叶表SEM特征分析

以单叶刺槐母本(A1-1)及6个叶形产生明显变异的半同胞子代无性系(A20-5、B24-3、C24-2、B23-1、C24-1、C23-1)新鲜叶片为材料,测定各样本的单位叶面积总颗粒物滞留量、颗粒物粒径分析及叶表微观结构SEM特征,通过相关性分析,筛选与滞尘能力相关的叶形及SEM指标,运用隶属函数法,依据各样本滞尘指标的隶属度均值对滞尘能力进行综合评价。结果表明:子代B23-1对空气中总颗粒物的滞留能力最强,C24-1对PM2.5的滞留能力最强,A20-5对PM2.5-10及PM>10的滞留能力最强;部分叶形及SEM特征指标与滞尘指标之间存在显著相关性;综合评价滞尘能力,全部样本可分为4类,第Ⅰ类为B23-1,滞尘能力强;第Ⅱ类为C24-1,滞尘能力较强;第Ⅲ类包括母本、A20-5、C23-1、C24-2,滞尘能力中等;第Ⅳ类为B24-3,滞尘能力相对较差。     

水分管理和钾肥施用对水稻产量和抗倒伏性的影响

探讨不同水分和钾肥管理对水稻产量和抗倒伏性的影响,为寒地水稻生产合理进行水分和钾肥管理提供理论依据。以当地主栽水稻品种龙粳31为材料,在淹水灌溉和干湿交替灌溉2种水分管理模式下,比较不施钾、钾肥基施和基肥∶穗肥=5∶5等3种钾肥管理形成的水稻群体,研究其对水稻产量和倒伏性能的影响。2种水分管理方式比较,干湿交替灌溉平均产量为8.33t/hm ²,比淹水灌溉增产3.48%;干湿交替处理有利于水稻植株重心高度降低,第1节（N1）、第2节（N2）节间长度缩短,单位节间干重增加,从而提高节间抗折力,N1、N2、第3节（N3）节间倒伏指数分别降低了13.23%、17.48%和15.27%。3种钾肥管理方式比较,施钾可以显著提高产量,产量表现为基肥∶穗肥=5∶5>钾肥基施>不施钾;钾可以促进水稻株高、鲜重、节间粗、茎壁厚、单位节间干重和节间抗折力提高,从而提高抗倒伏性能,3种钾肥管理水稻植株N1、N2、N3节间倒伏指数均为基肥∶穗肥=5∶5<钾肥基施<不施钾;对比于不施钾,钾肥基施处理N1、N2、N3节间倒伏指数分别降低了22.27%、22.04%和27.53%,基肥∶穗肥=5∶5处理N1、N2、N3节间倒伏指数分别降低了34.56%、35.48%和41.01%。结果表明通过干湿交替水分管理配合合理的钾肥管理可以明显提高水稻产量和降低植株倒伏风险。     

水利建设可持续发展刍议

首先分析了水利建设与可持续发展的关系,即可持续发展对水利建设提出了新要求、丰富了新思路,水利建设实践推动了水利可持续发展研究,并基于此提出水利建设可持续发展思路,即树立可持续发展意识,推进水利建设制度创新;人水协调,加强水利现代化建设.     

水肥耦合对小麦/玉米带田产量及构成因素的影响

采用"3414"最优回归设计方案,于2007-2008年在甘肃省农业科学院张掖节水试验站,开展不同水肥耦合处理小麦/玉米带田产量效应研究。结果表明,不同水肥耦合模式对小麦/玉米带田产量的影响较大,其差异达极显著水平。其中,氮肥对产量的贡献最大,水分次之,磷肥最小,氮肥对带田混合产量的绝对贡献率达79.4%,而水分对带田混合产量的绝对贡献率达为52.9%;水肥耦合效应为:水氮耦合水磷耦合氮磷耦合;获得高产量12 952.5~13 880.0kg/hm2的施氮量为420~630kg/hm2、灌水量为5 550~6 750m3/hm2、施磷量为120kg/hm2。相关分析表明,施氮量和灌水量与间作玉米的穗粒数、千粒质量、穗粒质量、株高均呈极显著正相关,施氮量与间作小麦的穗粒质量、穗粒数呈极显著正相关。     

SoilFlex‐LLWR: linking a soil compaction model with the least limiting water range concept

Soil compaction impacts growing conditions for plants: it increases the mechanical resistance to root growth and modifies the soil pore system and consequently the supply of water and oxygen to the roots. The least limiting water range (LLWR) defines a range of soil water contents within which root growth is minimally limited with regard to water supply, aeration and penetration resistance. The LLWR is a function of soil bulk density (BD), and hence directly affected by soil compaction. In this paper, we present a new model, ‘SoilFlex‐LLWR’, which combines a soil compaction model with the LLWR concept. We simulated the changes in LLWR due to wheeling with a self‐propelled forage harvester on a Swiss clay loam soil (Gleyic Cambisol) using the new SoilFlex‐LLWR model, and compared measurements of the LLWR components as a function of BD with model estimations. SoilFlex‐LLWR allows for predictions of changes in LLWR due to compaction caused by agricultural field traffic and therefore provides a quantitative link between impact of soil loading and soil physical conditions for root growth.     

Incubation success and habitat selection of shore‐spawning kokanee Oncorhynchus nerka: effects of water‐level regulation and habitat characteristics

Changes to water‐level regimes have been known to restructure fish assemblages and interfere with the population dynamics of both littoral and pelagic species. The effect of altered water‐level regimes on shore‐spawning kokanee Oncorhynchus nerka incubation success was evaluated using a comprehensive in situ study in Lake Pend Oreille, ID, USA. Survival was not related to substrate size composition or depth, indicating that shore‐spawning kokanee do not currently receive a substrate‐mediated survival benefit from higher winter water levels. Substrate composition also did not differ among isobaths in the nearshore area. On average, the odds of an egg surviving to the preemergent stage were more than three times greater for sites in downwelling areas than those lacking downwelling. This study revealed that shoreline spawning habitat is not as limited as previously thought. Downwelling areas appear to contribute substantially to shore‐spawning kokanee recruitment. This research illustrates the value of rigorous in situ studies both for testing potential mechanisms underlying population trends and providing insight into spawning habitat selection.