Characteristics of Dry and Wet Climate in Shandong Province Based on Standardized Precipitation Index

Based on the monthly precipitation data of 116 meteorological stations in Shandong Province during 1970-2021,standardized precipitation index(SPI)was calculated,and the methods of linear fitting,mutation test and Morlet wavelet analysis were used to analyze the change trend and temporal and spatial distribution characteristics of SPI index in the past 52 years.The results show that there were more normal years in Shandong Province,and the frequency reached 38.46%.There was severe drought in the 1980s and more wet years after 2003.SPI index showed an upward trend in spring,summer and winter but a weak arid trend in autumn.In addition,intense dry weather was more frequent in summer.Spatially,the climate was normal or humid in most areas of Shandong Province.The regions with more wet years were located in the central and northeast Shandong and the peninsula,while the climate was normal in the southwest and north of Shandong.The areas with more dry years were mainly located in the northwest of Shandong Province.There was mainly local and global drought in Shandong Province,and the arid area showed a decreasing trend.In the past 52 years,Shandong Province experienced quasi-4 times of alternation between dry and wet climate.The long period of 21 a was the first main period,and the climate would be still wet in Shandong Province in the future.In terms of mutation,the climate in Shandong Province became humid after 2003,and 2003 was the mutation point.After the abrupt change,the climate changed from gradually drying to wetting.

Response of Freezing/Thawing Indexes to the Wetting Trend under Warming Climate Conditions over the Qinghai–Tibetan Plateau during 1961–2010:A Numerical Simulation

Since the 1990s,the Qinghai–Tibetan Plateau(QTP)has experienced a strikingly warming and wetter climate that alters the thermal and hydrological properties of frozen ground.A positive correlation between the warming and thermal degradation in permafrost or seasonally frozen ground(SFG)has long been recognized.Still,a predictive relationship between historical wetting under warming climate conditions and frozen ground has not yet been well demonstrated,despite the expectation that it will become even more important because precipitation over the QTP has been projected to increase continuously in the near future.This study investigates the response of the thermal regime to historical wetting in both permafrost and SFG areas and examines their relationships separately using the Community Land Surface Model version 4.5.Results show that wetting before the 1990s across the QTP mainly cooled the permafrost body in the arid and semiarid zones,with significant correlation coefficients of 0.60 and 0.48,respectively.Precipitation increased continually at the rate of 6.16 mm decade–1 in the arid zone after the 1990s but had a contrasting warming effect on permafrost through a significant shortening of the thawing duration within the active layer.However,diminished rainfall in the humid zone after the 1990s also significantly extended the thawing duration of SFG.The relationship between the ground thawing index and precipitation was significantly negatively correlated(−0.75).The dual effects of wetting on the thermal dynamics of the QTP are becoming critical because of the projected increases in future precipitation.

Asymmetric Drying and Wetting Trends in Eastern and Western China

As an important factor that directly affects agricultural production, the social economy, and policy implementation,observed changes in dry/wet conditions have become a matter of widespread concern. However, previous research has mainly focused on the long-term linear changes of dry/wet conditions, while the detection and evolution of the non-linear trends related to dry/wet changes have received less attention. The non-linear trends of the annual aridity index, obtained by the Ensemble Empirical Mode Decomposition(EEMD) method, reveal that changes in dry/wet conditions in China are asymmetric and can be characterized by contrasting features in both time and space in China. Spatially, most areas in western China have experienced transitions from drying to wetting, while opposite changes have occurred in most areas of eastern China. Temporally, the transitions occurred earlier in western China compared to eastern China. Research into the asymmetric spatial characteristics of dry/wet conditions compensates for the inadequacies of previous studies, which focused solely on temporal evolution;at the same time, it remedies the inadequacies of traditional research on linear trends over centennial timescales. Analyzing the non-linear trend also provides for a more comprehensive understanding of the drying/wetting changes in China.

EVOLUTION LAW OF DRYNESS AND WETNESS IN KUNMING IN RECENT 300 YEARS

Using indexes of dryness and wetness in historical record over the recent recent years and rainfall data over the tatest century, the work involves itself with the study of climatological evolution of dryness and wetness. periodic variations of climate and interannual laws of variation. The discussion also covers the subjects of effects of El Nino. sunspot, predictors of general circulation on climatic variation of dryness and wetness. There arc main conclusions as follows: (1) The main cyclic variations of climate are 40 and 11 years in Kunming. the former being subject to that of El Nino and the latter to that of sunspots. They are two principal factors for periodic variations of dryness and wetness in Kunming. (2) A close relationship exists between interannual variations and general circulation factors for Kunming. The comprehensive influence as imposed by ENSO and allocations of W.C.E. patterns of circulation in the westerly are ma.tor weather and climate causes for the interannual variations of precipitation in Kunming.

FEATURES OF DRYNESS AND WETNESS IN GUANGDONG PROVINCEOVER THE PAST FOUR DECADES

Precipitation data from 86 observing Stations for the past four decades (from the first operational use to 1994) are used to study and discuss the character of annually mean distribution in Guangdong. Grades of dryness and wetness on a year-to-year basis are determined and preliminary features of dryness and wetness are discussed for the whole of the province and individual regions according to a 5-grade standard of division. The result has shown that there is on an average a rainfall of 1748 mm per year across the province, with four major centers of maxima (of annual rainfall over 2000 mm) at Enping, Qingyuan, Haifeng and Longmen. For the mean across the province, the years 1959. 1 961. 1973.1975, 1991 are anomalously wet and the years 1956, 1963, 1977 and 1991 are anomalously dry. of them, 1973 is the unusually wet year (with the absolute value of precipitation anomaly over twice as large as the standard deviation) and 1956 and 1963 are the usual dry years. For the occurrence frequency of unusually wetness and dryness over individual river valleys in the province, there are more years of dryness in the valleys of the Xijiang and Dongjiang Rivers. More years of wetness in that of the Jianjiang River, and only years of wetness instead of years of dryness in the valleys of Beijiang and Hanjiang Rivers.

Observed dryness and wetness variability in Shanghai during 1873-2005

Dryness and wetness variations on different time scales in Shanghai were analyzed using the Standardized Precipitation Index （SPI） based on monthly precipitation data for 1873-2005. The SPI on scales of 3, 6, 12 and 24 months has been calculated. The SPI on 3, 6, 12 and 24 months present 4 wet periods prevailed during 1873-1885, 1904-1923, 1938-1960 and 1983-2005, and 3 dry episodes during 1886-1903, 1924-1937 and 1961-1982. Significant periods of higher wavelet power in the SPI-24 months occurred on the time scales of 2-7-year band in around 1880-1890, 1910-1950 and 1970-1990, and at 8-15-year band in 1920-1960 and 1965-2000 respectively. Periodicities in the SOl and ENSO indices are similar to those in SPI-24 months with little difference, namely, in the SPI-24 months, there are significant periods at the 2-7- and 8-15-year bands during 1930-1940. The periodicity components in individual SPI-24 months, SOl and ENSO indices are more complicated, showing the wetness and dryness variability in Shanghai is controlled by more than one physical factors. The research results indicate that the Shanghai area has experienced dryness and wetness variability on different time scales during the past 133 years.

Numerical Modelling of the Topographic Wetness Index: An Analysis at Different Scales

A variety of landscape properties have been modeled successfully using topographic indices such as topographic wetness index (TWI), defined as ln(a/tanβ), where a is the specific upslope area and β is the surface slope. In this study, 25 m spatial resolution from digital elevation models (DEM) data were used to investigate the scale-dependency of TWI values when converting DEMs to 50 and 100 m. To investigate the impact of different spatial resolution, the two lower resolution DEMs were interpolated to the original 25 m grid size. In addition, to compare different flow-direction algorithms, a second objective was to evaluate differences in spatial patterns. Thus the values of TWI were compared in two different ways: 1) distribution functions and their statistics;and 2) cell by cell comparison of DEMs with the same spatial resolution but different flow- directions. As in previous TWI studies, the computed specific upstream is smaller, on average, at higher resolution. TWI variation decreased with increasing grid size. A cell by cell comparison of the TWI values of the 50 and 100 m DEMs showed a low correlation with the TWI based on the 25 m DEM. The results showed significant differences between different flow-diretction algorithms computed for DEMs with 25, 50 and 100 m spatial resolution.

Dynamic Drought Monitoring in Guangxi Using Revised Temperature Vegetation Dryness Index

Moderate resolution imaging spectroradiometer （MODIS） data are very suitable for vast extent, long term and dynamic drought monitoring for its high temporal resolution, high spectral resolution and moderate spatial resolution. The composite Enhanced Vegetation Index （EVI） and composite land surface temperature （Ts） obtained from MODIS data MOD11A2 and MOD13A2 were used to construct the EVI-Ts space. And Temperature Vegetation Dryness Index （TVDI） was calculated to evaluate the agriculture drought in Guangxi province, China in October of 2006. The results showed that the drought area in Guangxi was evidently increasing and continuously deteriorating from the middle of September to the middle of November. The TVDI, coming from the EVI-Ts space, could effectively indicate the spatial distribution and temporal evolution of drought, so that it could provide a strong technical support for the forecasting agricultural drought in south China.

Radiative dryness index and potential productivity of vegetation in China

The Chikugo Model is used to estimate radiative dryness indexes (RDI) and net primary productivity (NPP) of vegetation zones in China by calculating cli-matic parameters. That provides the water-heat equilibrium condition, potential primary production for natural vegetation in various vegetation zones, and their geographical distribution pattern. That could be used as the basis for study the effect of global climate change on ecosystems.

A Modified Temperature-Vegetation Dryness Index(MTVDI)for Assessment of Surface Soil Moisture Based on MODIS Data

Spatio-temporal dynamic monitoring of soil moisture is highly important to management of agricultural and vegetation eco-systems.The temperature-vegetation dryness index based on the triangle or trapezoid method has been used widely in previous studies.However,most existing studies simply used linear regression to construct empirical models to fit the edges of the feature space.This requires extensive data from a vast study area,and may lead to subjective results.In this study,a Modified Temperature-Vegetation Dryness Index(MTVDI)was used to monitor surface soil moisture status using MODIS(Moderate-resolution Imaging Spectroradiometer)remote sensing data,in which the dry edge conditions were determined at the pixel scale based on surface energy balance.The MTVDI was validated by field measurements at 30 sites for 10 d and compared with the Temperature-Vegetation Dryness Index(TVDI).The results showed that the R^(2) for MTVDI and soil moisture obviously improved(0.45 for TVDI,0.69 for MTVDI).As for spatial changes,MTVDI can also better reflect the actual soil moisture condition than TVDI.As a result,MTVDI can be considered an effective method to monitor the spatio-temporal changes in surface soil moisture on a regional scale.

An improved temperature vegetation dryness index(iTVDI) and its applicability to drought monitoring

Using Moderate Resolution Imaging Spectroradiometer(MODIS) data from the dry season during 2010–2012 over the whole Yunnan Province, an improved temperature vegetation dryness index(iTVDI), in which a parabolic dry-edge equation replaces the traditional linear dry-edge equation, was developed, to reveal the regional drought regime in the dry season. After calculating the correlation coefficient, root-mean-square error, and standard deviation between the iTVDI and observed topsoil moisture at 10 and 20 cm for seven sites, the effectiveness of the new index in depicting topsoil moisture conditions was verified. The drought area indicated by iTVDI mapping was then compared with the drought-affected area reported by the local government. The results indicated that the iTVDI can monitor drought more accurately than the traditional TVDI during the dry season in Yunnan Province. Using iTVDI facilitates drought warning and irrigation scheduling, and the expectation is that this new index can be broadly applied in other areas.

Retrieving Soil Moisture in Hebei by Using Temperature Vegetation Dryness Index

The temperature-vegetation index space coupled with information of surface temperature and vegetation, is an important method to realize soil moisture estimation and agricultural drought monitoring. In order to estimate the soil moisture in the study area, we collected soil relative humidity of Agricultural meteorological station and downloaded Moderate Resolution Imaging Spectrometer (MODIS) image data. Then, the temperature vegetation dryness index was calculated based on the MODIS Normalized difference vegetation index (NDVI) and land surface temperature (LST). A correlation analysis of TVDI and soil relative humidity at depth of 10 cm was carried out and an empirical model of moisture estimation was established. Finally, another set of data was used to validate the accuracy of model. The results show that the TVDI method can be used to achieve the soil moisture in the study area. The empirical model has certain universality in the study area, and obtains a high accuracy of soil moisture estimation with an R2 of 0.374 and RMSE of 11.73%.

化学外加剂对粉煤灰湿法细化活化的影响

将粉煤灰(FA)作为矿物掺合料使用,是降低胶凝材料碳排放的重要手段之一,但其早期活性低是学者们普遍关注的问题。本研究提出在湿磨过程中引入化学功能组分来提升FA细化活化效率的技术思路;通过激光粒度仪(PSD)、pH仪、全谱直读等离子体发射光谱仪(ICP)、XRD、SEM和TG-DTG等测试手段评价了FA的物化性能及活性指数,揭示了液相研磨机械力和化学溶蚀协同作用机理。结果表明:引入TIPA、TEA、NaOH、Na_(2)SO_(4)及电石渣(CS)化学功能组分优化了湿磨的液相环境介质,可显著提升湿磨效率;当FA的中值粒径降低至2μm时,TIPA+CS作用效果最为显著,研磨时间由原来的120 min缩短至40 min,缩短67%。从活性指数的角度来看,1 d龄期时,Na_(2)SO_(4)作用效果最为显著,湿磨FA的活性指数达到60.1%;3 d、7 d、28 d龄期时,TIPA+CS作用效果较好,湿磨FA的活性指数分别可达到81.3%、89.1%、97%。在液相研磨机械力作用过程中,液相环境介质可溶蚀粉煤灰表面,促进表面[AlO_(4)]和[SiO_(4)]的解聚,加速离子溶出,形成钙矾石、C-S-H凝胶等水化产物,显著提升FA的湿磨细化活化效率。

咽瘘伤口湿性治疗评估指标体系构建的研究

目的构建咽瘘伤口湿性治疗评估指标体系。方法以整体护理理念为理论框架,检索PubMed、CINAHL、中国知网、万方数据知识服务平台、维普网数据库自建库至2023年1月的相关文献,经专家小组讨论后初步制订咽瘘伤口湿性治疗评估指标体系库、设计专家函询问卷。2023年4月至6月,采用目的抽样法,邀请来自中国东北、华北、华东、华南、华中、西南地区12个省市及自治区的15所三级甲等医院的25名专家进行函询,专家小组针对函询结果进行讨论并最终修订指标体系,应用层次分析法确定各层级指标权重并检验各层级指标逻辑一致性。结果专家函询问卷全部回收,有效回收率为100%。专家熟悉系数为0.912、判断系数为0.960、权威系数为0.936、肯德尔协调系数为0.392(P<0.001)。最终构建的咽瘘伤口湿性治疗评估指标体系包括一级指标3个、二级指标6个及三级指标28个,一级指标权重分别为0.7029(生理因素)、0.1149(心理因素)和0.1822(社会因素),各层级指标一致性检验系数均<0.100。结论初步构建的咽瘘伤口湿性治疗评估指标体系具有较高的权威性和科学性,可作为伤口治疗师评估咽瘘伤口的有效工具,指标体系的适用性和应用效果仍有待进一步验证。

基于温度植被干旱指数(TVDI)的甘肃省农业干旱监测方法研究

改进温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI)并明确TVDI的农业干旱等级阈值,对提高TVDI指数监测农业干旱能力有重要意义。利用近19 a的MODIS(Moderate Resolu⁃tion Imaging Spectro-radiometer,MODIS)遥感数据,基于单时次和多时次方法构建NDVI(Normalized Difference Vegetation Index,NDVI)-LST(Land Surface Temperature,LST)、EVI(Enhanced Vegetation In⁃dex,EVI)-LST、RVI(Ratio Vegetation Index,RVI)-LST、SAVI(Soil-Adjusted Vegetation Index,SAVI)-LST等几种特征空间,讨论TVDI计算方法,分析TVDI在甘肃省农业干旱监测中的适用性,并明确甘肃省夏季TVDI农业干旱分级标准。结果表明:(1)基于多时次方法构建的SAVI-LST特征空间TVDI更适合甘肃省农业干旱监测,其对土壤相对湿度(Relative Soil Moisture,RSM)拟合的均方根误差(Root Mean Squared Error,RMSE)和平均绝对误差(Mean Absolute Error,MAE)比NDVI-LST特征空间TVDI对RSM拟合的RMSE和MAE下降1%~5%;(2)TVDI适用于夏季甘肃省半干旱区、半湿润区、湿润区等非干旱区浅层10、20 cm土壤深度的农业干旱监测,RMSE和MAE约15.6%和12.6%,拟合误差湿润区<半湿润区<半干旱区;(3)利用TVDI与RSM线性关系确定的TVDI农业干旱等级更有利于提高TVDI监测农业干旱的准确性。

固体颗粒润湿性评价新方法

润湿性不仅控制着疏松砂岩储层中流体的流动和分布,而且影响微粒运移,因此对固体颗粒表面润湿性的准确评价直接关系到储层微粒润湿性的有效调控,对储层微粒运移损害的防治具有重要意义。但现有的评价方法主要针对固体平面厘米以上的宏观尺度,无法准确评价疏松砂岩储层中毫微米尺度的泥砂颗粒的表面润湿性。该文结合活化指数法和接触角测量法,提出了适用于颗粒润湿性评价的新参数——颗粒润湿指数R,建立了一套适用于毫微米尺度的固体颗粒润湿性评价新方法,并进行了实验验证。实验结果表明,该评价方法可以更准确地评价泥砂颗粒的润湿性,测试程序简单,数据处理方便,适用范围广泛,为固体颗粒润湿性的评价与应用技术提供了新手段。

干旱区与湿润区旱涝急转演变特征对比研究

以长江、黄河和淮河流域为研究对象,基于标准化旱涝急转指数,利用趋势分析、变点检验、小波分析、随机森林等方法探究典型干旱区与湿润区旱涝急转演变特征及其驱动因子。结果表明:湿润和半湿润区是极端旱涝急转事件的高频发生区,干旱区是极端旱转涝事件的高频发生区;干旱区的突变发生在1998年,湿润区的突变在1978年,未来干旱区更易发生旱转涝事件,湿润区则相反;气象因子在湿润区对旱涝急转的贡献度更大,大气环流对干旱区的影响突出,旱涝急转与不同驱动因子间存在非线性关系。

酒糟蛋白替代豆粕对九斤黄鸡生长性能、血清生化和免疫指标的影响

[目的]研究不同比例的湿磨预处理去壳酱香型酒糟蛋白(wet milling pretreated and dehulled-moutai distiller's grains, WDMDG)替代豆粕对九斤黄鸡生长性能、血清生化和免疫指标的影响,为WDMDG替代豆粕提供科学依据。[方法]选取1日龄健康九斤黄公雏450只,随机分为3组,每组设3个重复,每个重复50只鸡,对照组饲喂基础日粮,试验Ⅰ和试验Ⅱ组分别在基础日粮中添加5%、8%WDMDG等营养替代豆粕,试验为期26 d,分别测定九斤黄鸡平均日增质量、平均日采食量、料重比和死淘率,并对九斤黄鸡血清中总蛋白、白蛋白、尿素氮含量、谷丙转氨酶和谷草转氨酶活力和IgG、IgA、lgM水平进行测定。[结果]与对照组相比,试验Ⅰ和试验Ⅱ组九斤黄鸡的各项生产性能均没有显著差异,试验Ⅰ和试验Ⅱ组鸡血清中尿素氮含量分别提高了4.88%(P>0.05)和19.51%(P<0.05),各组鸡血清中总蛋白、白蛋白含量、谷草转氨酶和谷丙转氨酶活力及IgG、IgA和IgM水平差异均不显著。[结论]在九斤黄鸡日粮中采用5%WDMDG等营养替代基础日粮中部分豆粕,对其日增质量、料重比、死淘率、血清生化指标和免疫指标均无显著负面影响。

大豆脲酶诱导碳酸钙固化黄河泥沙水稳定性试验研究

随着国家“交通强国”战略的提出,沿黄工程建设发展迅速,填筑用土需求剧增。黄河泥沙作为填筑材料的可行性已被证实,但其在多雨地区的服役性能需要改善,探索一种生态、高效的泥沙加固方法提高其水稳定性十分关键。本文基于酶诱导碳酸钙沉淀(EICP)技术固化黄河泥沙的方法,分别开展了常规浸水条件和干湿循环条件下固化黄河泥沙的水稳定性试验,研究了浸水后试样的质量损失及强度折损情况,分析了干湿循环对固化后黄河泥沙试样强度软化系数的影响规律。结果表明:采用EICP技术固化的黄河泥沙试样浸水崩解过程相比原状试样更加缓慢;胶结液浓度1.5 mol/L的黄河泥沙试样长期(56 d)浸水后,几乎保持完整,质量损失率仅为6.36%,强度折损率仅为6.21%;10次干湿循环后,不同胶结液浓度处理后的黄河泥沙试样均出现了不同程度的颗粒松散和脱落现象,胶结液浓度1.5 mol/L、灌浆10次的黄河泥沙试样的抗压强度损失仅为9.96%,抗干湿循环能力最强。利用EICP技术可以有效的固化黄河泥沙并提升其水稳定性,这对推进黄河泥沙的资源化利用进程十分重要。

2001—2020年渭北黄土台塬区农业干旱变化特征及影响因素分析

为明晰渭北黄土台塬区2001—2020年间农业干旱的时空变化特征及影响因素,利用MODIS遥感数据构建了Ts-NDVI特征空间,计算出温度植被干旱指数(TVDI),以揭示干旱的时空演变规律。同时,借助地理探测器分析了干旱与自然因素及人类活动之间的关联,确定了影响TVDI空间分异性的关键因子。结果表明:该区域平均每年有65.04%的区域遭受不同程度的干旱,多年平均TVDI值为0.52,整体处于中旱状态,且春季干旱尤为严重;2001—2020年,该区域TVDI值呈现波动下降趋势,并表现出强持续性特征,约有91.38%的区域干旱情况得到缓解或保持稳定;TVDI的空间分异性显著,主要受到高程、气温、人口密度和NDVI等多个因子的综合影响;在不同年份,影响TVDI的主导因子组合有所变化,这反映出自然因素和人类活动对干旱影响的复杂性。需综合运用气候监测、生态恢复、优化农业生产结构和提高水资源利用效率等措施,以更精准地预测和缓解干旱对区域农业生产和社会经济的影响。