农闲期城郊农田灌溉水中典型污染物含量与评价——以西北江三角洲为例

摸查了农田灌溉系统水环境经农（夏）闲期降水等外部强干预调理后的环境污染物含量——该值理论上是环境自净作用之后的最不利值,对农田灌溉系统水环境进行水质评价,探究其对农田土壤质量的潜在污染风险.于2019年6月中旬—7月下旬（降雨集中期）,分别在西北江三角洲城市（清远市、佛山市和江门市）实验基地周边筛选研究区,并在雨后对有覆水的水源区域、灌渠、蓄水池和田间水等采集上覆水,共采得水样27×2份,对其pH值、悬浮物（SS）、矿化度、总磷（TP）、氨氮（NH₄⁺-N）、Cd、As、Pb、Cu和Zn的含量进行检测;对各研究区pH值、SS的成因和影响,矿化度的等级,重金属均值分布等进行分析;对全样品TP、NH₄⁺-N、重金属含量进行Pearson相关性分析和描述性特征分析;通过单因子水质标识指数P_i和综合水质标识指数P分别对各采样点、各构成项目和各研究区进行水质评价.研究发现雨后农田灌溉系统水环境构成复杂,物质呈无显著性差异的迁移,灌溉沿程上覆水中大部分物质可能处于动态平衡,受局部环境影响变小,TP、NH₄⁺-N和重金属等迁移物质主要还是灌溉水体中原有的,受外力驱动扰动后在水动力作用下可能以氮磷结合形态沿灌溉系统发生远距离迁移;使用河流水质标识指数法评价农田灌溉系统水环境,发现该法可以刻画局部灌溉的水质态势,对农田灌溉系统水环境的含量特征评价做出科学、合理的解释,也可以做出综合性定量评价.虽然灌溉水系统结构差异较大,但是从整体上可以初步得出农闲期西北江三角洲农田灌溉水的灌溉风险不高的结论,总体综合水质评价级别为Ⅰ类~Ⅱ类,达到水环境功能区的使用要求.     

土壤微生物群落结构对生活源和工业源再生水灌溉的差异化响应

为研究不同来源再生水灌溉对土壤微生物群落结构的影响,以地下水灌溉土壤为对照,采用Illumina MiSeq高通量测序技术对长期利用生活源和工业源再生水灌溉的土壤微生物群落结构进行分析,进一步探究土壤环境因子及其相互作用对微生物群落结构的影响.结果表明,与地下水灌溉相比,长期生活源再生水灌溉可显著提高土壤中TOC、 DOC、 Eh、 NH~+_4-N和TP的含量,长期工业源再生水灌溉导致Cd、 Cr、 Cu、 Pb和Zn在表层土壤大量累积.再生水灌溉显著增加了土壤中Acidobacteria和Planctomycetes的相对丰度,降低了Firmicutes和Tectomicrobia的相对丰度,且不同来源再生水对土壤中功能微生物的影响不同,生活源再生水灌溉可显著增加Chloroflexi和Nitrospirae的相对丰度,而工业源再生水灌溉对Actinobacteria具有显著的抑制作用.db-RDA分析结果表明,生活源再生水灌溉土壤菌群主要受TN、 TP、 DOC和Eh影响(P0.05),工业源再生水灌溉土壤菌群主要受重金属影响(P0.05).长期再生水灌溉可改变土壤环境因子间的相互作用,进而影响微生物群落结构,生活源再生水灌溉土壤中微生物主要受DOC、 TN和TP等营养物质含量的增加和氧化还原条件的改变控制,工业源再生水灌溉土壤中微生物与重金属的积累显著相关.     

奎屯高砷地下水灌溉区居民头发和指甲中砷含量研究

近十几年来,奎屯垦区高砷地下水被广泛用于农业灌溉,会在一定程度上降低改水措施对防治砷地方病的效果。为了解高砷地下水灌溉对居民体内砷累积的影响,选择头发和指甲作为评价指标,通过随机采集样品并用氢化物原子荧光光谱法测定样品中总As及As(Ⅲ)质量比的方式,对奎屯高砷地下水灌溉区居民砷污染健康影响现况进行了研究。结果表明,头发样品中总砷质量比为0.20~1.47μg/g(n=37),其中As(Ⅲ)质量比为0.06~0.67μg/g(n=32);51.35%的样品中总砷质量比高于卫生部标准(0.60μg/g),18.92%高于中国居民头发总砷正常值上限建议值(1.00μg/g),头发总砷质量比随居民居住年限和年龄增大而增大。指甲样品中总砷质量比为0.08~0.35μg/g(n=13),且与头发中总砷质量比呈正相关,当地居民体内呈现缓慢的As蓄积特征。改水30年后,奎屯垦区居民体内仍存在较高的砷水平,高砷地下水灌溉造成的人体健康风险不容忽视。     

The Effects of Irrigation and Climate on the High Plains Aquifer: A County‐Level Econometric Analysis

The High Plains Aquifer (HPA) underlies parts of eight states and 208 counties in the central area of the United States (U.S.). This region produces more than 9% of U.S. crops sales and relies on the aquifer for irrigation. However, these withdrawals have diminished the stock of water in the aquifer. In this paper, we investigate the aggregate county‐level effect on the HPA of groundwater withdrawal for irrigation, of climate variables, and of energy price changes. We merge economic theory and hydrological characteristics to jointly estimate equations describing irrigation behavior and a generalized water balance equation for the HPA. Our simple water balance model predicts, at average values for irrigation and precipitation, an HPA‐wide average decrease in the groundwater table of 0.47 feet per year, compared to 0.48 feet per year observed on average across the HPA during this 1985–2005 period. The observed distribution and predicted change across counties is in the (?3.22, 1.59) and (?2.24, 0.60) feet per year range, respectively. The estimated impact of irrigation is to decrease the water table by an average of 1.24 feet per year, whereas rainfall recharges the level by an average of 0.76 feet per year. Relative to the past several decades, if groundwater use is unconstrained, groundwater depletion would increase 50% in a scenario where precipitation falls by 25% and the number of degree days above 36°C doubles. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Yield and Water Productivity of Winter Wheat under Various Irrigation Capacities

The Agricultural Production Systems sIMulator model validated in a prior study for winter wheat was used to simulate yield, aboveground crop biomass (BM), transpiration (T), and evapotranspiration under four irrigation capacities (ICs) (0, 1.7, 2.5, and 5 mm/day) with two nitrogen (N) application rates (N1, 94 kg N/ha; N2, 160 kg N/ha) to (1) understand the performance of winter wheat under different ICs and (2) develop crop water production function under various ICs and N rates. Evaluation was based on yield, aboveground crop BM, transpiration productivity (TP), crop water productivity (WP), and irrigation WP (IWP). Simulation results showed winter wheat yield increased with increase in N application rate and IC. However, the rate of yield increase gradually reduced with additional irrigation beyond 2.5 mm/day. A 5 mm/day IC required a total of 190 mm irrigation and produced a 5%–16% yield advantage over 2.5 mm/day. This indicates it is possible to reduce groundwater use for wheat by 50% incurring only 5%–16% yield loss relative to 5 mm/day. The TP and IWP for grain were slightly higher under IC of 1.7 mm/day (15.2–16.1 kg/ha/mm and 0.98–1.6 kg/m³) when compared to 5 mm/day (14.7–15.5 kg/ha/mm and 0.6–1.06 kg/m³), respectively. Since TP and IWPs are relatively higher under lower ICs, winter wheat could be a suitable crop under lower ICs in the region. Relationship between yield–T and yield–ET was linear with a slope of 15–16 and 9.5–10 kg/ha/mm, respectively. Editor's note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Simulating Soil Water Content,Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop

Use of models to simulate crop production has become important in optimizing irrigation management in arid and semiarid regions. However, applicability and performance of these models differ across regions, due to differences in environmental and management factors. The AquaCrop model was used to simulate soil water content (SWC), evapotranspiration (ET), and yield for grain sorghum under different irrigation regimes and dryland conditions at two sites in Central and Southern High Plains. Prediction error (P_e), estimated as the difference between simulated and measured divided by measured, for SWC ranged from ?17% to 4% in fully irrigated, ?3% to ?10% in limited irrigated, and ?16% to 25% in dryland treatments. The P_e within ±4%, ?5%, and ?17% to 24% were attained for seasonal ET under fully irrigated, limited irrigated, and dryland conditions, respectively. P_e values for grain yield were within those previously reported and ranged from ?10% to 12%, ?12% to 7%, and 9% to 17% for fully irrigated, limited irrigated and dryland conditions, respectively. Overall performance of the AquaCrop model showed it could be used as an effective tool for evaluating the impacts of variable crop and irrigation managements on the production of grain sorghum in the study area. Finally, the application of the model in the study area revealed planting date has a significant impact on sorghum yield and irrigation requirements, but the impact of planting density was negligible. Editor's note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Multi‐strainer model concept for conjunctive pumping of saline and non‐saline groundwater from coastal aquifers

The current paper discusses the multi‐strainer technique developed to augment usable water by the combined use of saline and non‐saline aquifers in locations where a freshwater aquifer is underlain or overlain by a saline water aquifer. The multi‐strainer technique evaluates design criteria for the formulation of multi‐strainer schemes to supply water at an acceptable salinity limit by combined use of the saline and non‐saline aquifers. The design ratio of discharges can be maintained by adjusting the strainers’ lengths in the saline and non‐saline aquifers. The multi‐strainer scheme has been applied in the coastal aquifers of Bangladesh and found to be effective at lowering the water salinity concentrations to acceptable levels, thus increasing the availability of water for sustainable use. The multi‐strainer scheme should be designed based on the thickness of the aquifer layers to be screened, the salinity concentrations of the screened layers, and the level of salinity concentration to be maintained.     

Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado,USA

While there are currently a number of irrigated land datasets available for the western United States (U.S.), there is uncertainty regarding in how they relate to each other. To help understand the characteristics of available irrigated datasets, we compared (1) the Cropland Data Layer (CDL), (2) Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset (IAD), (3) Digitized Irrigated Land (DIL), and (4) Consumptive Use for Irrigation (CUI) data in Arizona and Colorado, U.S. These datasets were derived from multiple sources at various spatial resolutions and temporal scales. We found spatial and temporal trends among all of them. The datasets showed decreases in irrigated land area in Arizona during the 2000–2010 time period. The change ranges and ratios were similar in all Arizona datasets. Irrigated land in Colorado decreased in DIL and CUI but increased in IAD and CDL. The agreement within the same type of dataset during different time periods was from 60% to 80% (R² from 0.35 to 0.72) in Arizona and from 50% to 80% (R² from 0.23 to 0.68) in Colorado. DIL had the highest agreement (80%) in both states. The agreement among different datasets acquired at approximately the same time frame ranged from 51% to 63% (R² from 0.14 to 0.31) in Arizona and from 47% to 69% (R² from 0.32 to 0.40) in Colorado. The results from this study support a greater understanding of the multiresolution and multitemporal nature of these datasets for various applications.     

PROJECTED EFFECTS OF ENERGY POLICIES ON AGRICULTURAL WATER USE AND IRRIGATION1

ABSTRACT: A national and interregional programming model was used in projecting the impacts of alternative energy policies and prices on agricultural production, land use, and irrigation. The alternatives analyzed include (a) natural gas deregulation, (b) natural gas curtailment, (c) doubled energy prices, and (d) tripled energy prices. These alternatives are compared with a base alternative where prices and conditions are at normal levels. Restraints in the model control availability of water, land, nitrogen fertilizers, and energy. Water production functions were used to adjust water use to conform with projected energy prices and policies. Natural gas curtailment would have the largest effect on nitrogen use on irrigated land. Values or shadow prices for lands that remains in irrigation would increase under all of the alternatives because of reduced supply. Increased energy prices generally would increase use of surface water for irrigation and reduce use of ground water due to higher pumping costs. Reductions of 50 percent or more in ground water use would occur in the South Central and Western regions of the United States. Water supply prices increase under all of the alternatives; with the amount varying by regions and the policy or price situation.     

WATER PROBLEMS IN THE INDUS FOOD MACHINE1

ABSTRACT: Examples are drawn from the Indus Basin to explain why on-farm water management problems restrict the output of agricultural products in many LDC's. Data is presented to illustrate the low level of water management knowledge of both the farmers and the current extension agents. Examples of the level of corruption and its effect on the operating system are illustrated. Several requirements that must be met before a large-scale irrigation scheme will actually increase the welfare of LDC's farmers are presented.