Spatial non-stationary characteristics between grass yield and its influencing factors in the Ningxia temperate grasslands based on a mixed geographically weighted regression model

Spatial models are effective in obtaining local details on grassland biomass, and their accuracy has important practical significance for the stable management of grasses and livestock. To this end, the present study utilized measured quadrat data of grass yield across different regions in the main growing season of temperate grasslands in Ningxia of China (August 2020), combined with hydrometeorology, elevation, net primary productivity (NPP), and other auxiliary data over the same period. Accordingly, non-stationary characteristics of the spatial scale, and the effects of influencing factors on grass yield were analyzed using a mixed geographically weighted regression (MGWR) model. The results showed that the model was suitable for correlation analysis. The spatial scale of ratio resident-area index (PRI) was the largest, followed by the digital elevation model, NPP, distance from gully, distance from river, average July rainfall, and daily temperature range; whereas the spatial scales of night light, distance from roads, and relative humidity (RH) were the most limited. All influencing factors maintained positive and negative effects on grass yield, save for the strictly negative effect of RH. The regression results revealed a multiscale differential spatial response regularity of different influencing factors on grass yield. Regression parameters revealed that the results of Ordinary least squares (OLS) (Adjusted R² = 0.642) and geographically weighted regression (GWR) (Adjusted R² = 0.797) models were worse than those of MGWR (Adjusted R² = 0.889) models. Based on the results of the RMSE and radius index, the simulation effect also was MGWR > GWR > OLS models. Ultimately, the MGWR model held the strongest prediction performance (R² = 0.8306). Spatially, the grass yield was high in the south and west, and low in the north and east of the study area. The results of this study provide a new technical support for rapid and accurate estimation of grassland yield to dynamically adjust grazing decision in the semi-arid loess hilly region.     

基于SWAT模型的无资料流域产流产沙模拟

准确预报无资料地区的产流产沙,对土壤侵蚀治理具有重要的实践意义。为了研究南方红壤侵蚀区无观测资料流域的产流产沙情况,以福建省长汀县朱溪小流域为研究区,其次一级流域游屋圳子流域和高陂塅子流域分别为参证流域和无观测资料流域。采用相对误差(Re)、决定系数(R2)以及Nash-Sutcliffe效率系数(Ens)评价了SWAT模型在游屋圳子流域的产流产沙模拟的适用性,基于地形指数判定了两子流域的水文相似性。结果表明:SWAT模型适用于游屋圳子流域的产流产沙模拟;游屋圳子流域与高陂塅子流域具有水文相似性,说明两子流域间可以进行模型参数移植;经模型参数移植,模拟得2010年高陂塅子流域年径流量为1.32×107m3,年产沙量为2 200 t。模拟结果不仅为小流域的水土保持治理提供参考,也为其他无资料流域的产流产沙模拟提供方法借鉴。     

农作物单产预测的运行化方法

提出了适于运行化农作物单产预测的方法。即以农作物单产区划为基础 ,通过搜集不同地区不同作物的单产预测模型 ,分析每个模型的空间适用范围 ,并从模型参数等角度筛选模型 ,然后利用这些模型进行气象站点的作物单产预测 ,并以NDVI分布图为参考数据将点上的单产数据空间外推到区域尺度。借助耕地分布估计区域水平的农作物单产。最后以 2 0 0 3年冬小麦为例 ,进行了全国 10个省的冬小麦平均单产估算 ,花费了较少的人力和时间 ,符合运行化遥感估产要求     

Factors controlling sediment yield in China's Loess Plateau

The Loess Plateau in China, an area with some of the highest sediment yield in the world, contributes predominant proportion of the sediments found in the Yellow River. We examined sediment yield and its control variables in the plateau based on a multi‐year dataset from 180 gauging stations in areas varying in size from 10² to 10⁴ km². Various morphometric, hydrologic, climatic and land cover variables were estimated in order to understand and predict the variations in sediment yield. The results show a spatial pattern of sediment yield exhibiting an obvious zonal distribution and a coupling between precipitation and vegetation cover that fits the Langbein–Schumm law. A critical threshold of precipitation and vegetation cover was observed among the relationships of sediment yield and precipitation/vegetation cover. A multiple regression equation with three control variables, i.e. vegetation cover, percentage of cultivated loess and annual runoff, explains 65% of the total variation in sediment yield. For the loess dominated basins, where the cultivated loess accounts for more than 60% of the total area, annual runoff was the dominant variable, explaining 76% of the observed variation in sediment yield. The established equation could be a valuable tool for predicting total sediment yield in the Loess Plateau. Copyright © 2010 John Wiley & Sons, Ltd.     

Spatial scale effects on sediment concentration in runoff during flood events for hilly areas of the Loess Plateau,China

The spatial scale effect on sediment concentration in runoff has received little attention despite numerous studies on sediment yield or sediment delivery ratio in the context of multiple spatial scales. We have addressed this issue for hilly areas of the Loess Plateau, north China where fluvial processes are mainly dominated by hyperconcentrated flows. The data on 717 flow events observed at 17 gauging stations and two runoff experimental plots, all located in the 3906 km² Dalihe watershed, are presented. The combination of the downstream scour of hyperconcentrated flows and the downstream dilution, which is mainly caused by the base flow and is strengthened as a result of the strong patchy storms, determines the spatial change of sediment concentration in runoff during flood events. At the watershed scale, the scouring effect takes predominance first but is subordinate to the downstream dilution with a further increase in spatial scale. As a result, the event mean sediment concentration first increases following a power function with drainage basin area and then declines at the drainage basin area of about 700 km². The power function in combination with the proportional model of the runoff‐sediment yield relationship we proposed before was used to establish the sediment‐yield model, which is neither the physical‐based model nor the regression model. This model, with only two variables (runoff depth and drainage basin area) and two parameters, can provide fairly accurate prediction of event sediment yield with model efficiency over 0·95 if small events with runoff depth lower than 1 mm are excluded. Copyright © 2011 John Wiley & Sons, Ltd.     

稻茬冬小麦不同播种方式和播种量试验研究

稻茬冬小麦不同播种方式和播种量试验于2008—2009年度在江苏省农业科技综合展示基地(宿迁点)进行,试验共设计4种播种方式和3个播种量水平,研究分析不同播种方式和播种量及气象条件对稻茬冬小麦生长发育、抗逆性和产量的影响。结果表明:播种方式和播种量对冬小麦的生长发育及产量有显著影响,在生产实际中应结合具体情况采取适当的播种方式,播种量水平以每亩20万株左右基本苗较理想。在粳稻收获较晚,冬小麦无法适期播种时,可以采取稻田套播方式,播种量要适当增加;籼稻腾茬早的,可以选择收获后7 d左右人工撒播或条播;在茬口和气候等条件适宜的情况下,尽可能采取水稻收获后2 d左右进行冬小麦播种。条播能更充分的利用光温水等气候资源。     

春季低温连阴雨灾害对农作物产量影响评估

依据河南省春季低温连阴雨灾害标准,对信阳市1971—2007年春季达到低温连阴雨过程标准的气象资料,分别从3月低温上,4月低温、连阴雨以及低温连阴雨,5月连阴雨等不同的致灾因子持续时间长短、对农作物造成危害程度的大小,将其划分3成个不同的灾害等级。用拉格朗日插值法计算作物的期望产量,用分离法将春季低温连阴雨灾害对作物造成的损失分离出来。结果发现,不同时段的春季低温连阴雨对水稻、小麦、油菜和茶叶造成的危害程度是不同的,以4月低温连阴雨和5月连阴雨危害最大。定量评估春季低温连阴雨灾害损失对防灾减灾和政府决策具有十分重要意义。     

Runoff generation and sediment yield on homogeneous dune slopes: scale effect and implications for analysis

Data concerning runoff and sediment yield in arid zones is of prime importance for hydrologists, geomorphologists, pedologists, ecologists and landscape engineers. For data comparison and extrapolations, runoff and sediment yield are often presented in mass per unit area. Runoff and sediment yield collected on dune slopes over a wide range of plot sizes during 1990–1994 in the Negev Desert, Israel, showed that the contributing area was mainly confined to a narrow belt at the bottom of the slopes. It was therefore hypothesized that the very short rain bursts, capable of runoff generation, may result in a scale effect (SE). Indeed, average duration of duration of consecutive medium and high rain intensities which are potentially above the surface infiltration rate ranged between 2.2 and 3.0 minutes, implying that flow connectivity is largely limited. Based on the intermittent character of the rain spells capable of runoff generation it is argued that SE is an inherent outcome of the rain properties. Yet, it is further argued that the magnitude of the SE is surface‐dependent. As a result, it is argued that the conventional way for runoff and sediment yield presentation as mass per unit area implies theoretical misconceptions and may cause gross overestimation in extrapolation and the presentation of runoff and sediment yield in mass per unit width of the slope is suggested. The accuracy of the two extrapolation methods are compared to the actual runoff and sediment yield collected in the field. The data show that extrapolation based on runoff (or sediment) yield per plot width deviates from the actual amounts collected by a factor of 1·1 to 1·3 only while deviating by a factor of 4·2 to 5·6 and 10·7 to 11·8 if the extrapolation is based on large and small plots, respectively. Theoretical and practical reasons for presentation of runoff and sediment yield as mass per unit width are discussed. Copyright © 2011 John Wiley & Sons, Ltd.     

Groundwater Flow Simulation and its Application in Groundwater Resource Evaluation in the North China Plain,China

The purpose of this study is to establish a 3D groundwater flow modelling for evaluating groundwater resources of the North China Plain.First,the North China Plain was divided into three aquifers vertically through a characterization of hydrogeological conditions.Groundwater model software GMS was used for modeling to divide the area of simulation into a regular network of 164 rows and 148 lines.This model was verified through fitting of the observed and the simulated groundwater flow fields at deep and shallow layers and comparison between the observed and simulated hydrographs at 64 typical observation wells.Furthermore,water budget analysis was also performed during the simulation period(2002-2003).Results of the established groundwater flow model showed that the average annual groundwater recharge of the North China Plain during 1991 to 2003 was 256.68×10~8 m~3/yr with safe yield of groundwater resources up to 213.49×10~8 m~3/yr,in which safe yield of shallow groundwater and that of deep groundwater was up to 191.65×10~8 m~3/yr and 22.64×10~8 m~3/yr respectively.Finally,this model was integrated with proposal for groundwater withdrawal in the study area after commencement of water supply by South-North Water Transfer Project,aiming to predict the changing trend of groundwater regime.As indicated by prediction results,South-North Water Transfer Project,which is favorable for effective control of expansion and intensification of existing depression cone,would play a positive role in alleviation of short supply of groundwater in the North China Plain as well as maintenance and protection of groundwater.     

Model for analysis of fiber-reinforced clayey soil

Fiber-reinforced soils have many applications in improving the response of clayey soils. In this paper, an analytical model for the analysis of fiber-reinforced soil in the framework of modified cam clay model is presented. The analytical model is verified using experimental results from the standard undrained triaxial tests with pore water pressure measurements. Tests have been conducted on clayey soil specimens reinforced with randomly oriented discrete coir fibers with different percentages of fiber contents. Numerical simulations of triaxial compression tests on fiber-reinforced clay specimens were also performed. Results are presented in the form of stress vs. strain curves for plain soil as well as fiber-reinforced soil for various fiber contents based on the model developed. The results demonstrate the applicability of proposed analytical model in predicting the stress strain response of fiber-reinforced soils.