Evaluation of time scale of meteorological,hydrological and agricultural drought indices

Natural Hazards - The present study was carried out to characterize drought in the Marathwada region of Maharashtra, which experiences recurring droughts, through meteorological, hydrological and...     

Drought monitoring and agricultural drought loss risk assessment based on multisource information fusion

Natural Hazards - Determining the loss mechanism of drought is crucial for the prevention of and adaptation to agricultural drought. This paper proposes a theoretical framework of agricultural...     

Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin,China

Meteorological droughts can affect large areas and may have serious environmental, social and economic impacts. These impacts depend on the severity, duration, and spatial extent of the precipitation deficit and the socioeconomic vulnerability of the affected regions. This paper examines the spatiotemporal variation of meteorological droughts in the Haihe River basin. Meteorological droughts events were diagnosed using daily meteorological data from 44 stations by calculating a comprehensive drought index (CI) for the period 1961–2011. Based on the daily CI values of each station over the past 50 years, the drought processes at each station were confirmed, and the severity, duration and frequency of each meteorological drought event were computed and analyzed. The results suggest the following conclusions: (1) the use of the CI index can effectively trace the development of drought and can also identify the duration and severity of each drought event; (2) the average drought duration was 57–85 days in each region of the Haihe River basin, and the region with the highest average values of drought duration and drought severity was Bohai Bay; (3) drought occurred more than 48 times over the study period, which is more than 0.95 times per year over the 50 years studied. The average frequencies of non-drought days, severe drought days and extreme drought days over the study period were 51.2, 3.2 and 0.4 %, respectively. Severe drought events mainly occurred in the south branch of the Hai River, and extreme drought events mainly occurred in the Shandong Peninsula and Bohai Bay; (4) the annual precipitation and potential evapotranspiration of the Haihe River basin show decreasing trends over the past 50 years. The frequency of severe drought and extreme drought events has increased in the past 20 years than during the period 1961–1990. The results of this study may serve as a reference point for decision regarding basin water resources management, ecological recovery and drought hazard vulnerability analysis.

     

Spatiotemporal variation of meteorological droughts based on the daily comprehensive drought index in the Haihe River basin,China

Meteorological droughts can affect large areas and may have serious environmental, social and economic impacts. These impacts depend on the severity, duration, and spatial extent of the precipitation deficit and the socioeconomic vulnerability of the affected regions. This paper examines the spatiotemporal variation of meteorological droughts in the Haihe River basin. Meteorological droughts events were diagnosed using daily meteorological data from 44 stations by calculating a comprehensive drought index (CI) for the period 1961–2011. Based on the daily CI values of each station over the past 50 years, the drought processes at each station were confirmed, and the severity, duration and frequency of each meteorological drought event were computed and analyzed. The results suggest the following conclusions: (1) the use of the CI index can effectively trace the development of drought and can also identify the duration and severity of each drought event; (2) the average drought duration was 57–85 days in each region of the Haihe River basin, and the region with the highest average values of drought duration and drought severity was Bohai Bay; (3) drought occurred more than 48 times over the study period, which is more than 0.95 times per year over the 50 years studied. The average frequencies of non-drought days, severe drought days and extreme drought days over the study period were 51.2, 3.2 and 0.4 %, respectively. Severe drought events mainly occurred in the south branch of the Hai River, and extreme drought events mainly occurred in the Shandong Peninsula and Bohai Bay; (4) the annual precipitation and potential evapotranspiration of the Haihe River basin show decreasing trends over the past 50 years. The frequency of severe drought and extreme drought events has increased in the past 20 years than during the period 1961–1990. The results of this study may serve as a reference point for decision regarding basin water resources management, ecological recovery and drought hazard vulnerability analysis.     

基于熵权的可拓理论在岩体质量评价中的应用

坝基岩体质量综合评价是一个复杂的工程决策问题,常常表现为指标与指标之间的矛盾、定性信息与定量信息的共存,解决这类多属性、不相容问题,应采用定性与定量综合集成的方法加以研究。而可拓学正是采用物元的概念将研究对象、评估指标与其值域结合为一体,研究事物可拓性及其开拓规律,解决矛盾问题的一门新学科。应用可拓理论,基于多指标优化融合的思想,通过物元变换建立了坝基岩体质量评价的物元体系,计算评价指标对评价等级的关联系数,引入熵权法确定物元指标体系的权重系数,建立了基于熵权的可拓学理论,并将此理论应用于某工程坝基岩体质量评价,取得了与工程地质报告相一致的评价结果。     

Risk assessment model of agricultural drought disaster based on grey matter-element analysis theory

Natural Hazards - Carrying out risk assessments of agricultural drought disasters is helpful to understanding agricultural drought quantitatively and scientifically guiding drought prevention and...     

气候变化对澜湄流域气象水文干旱时空特性的影响

受全球气候变化影响,澜沧江-湄公河流域气象水文干旱发生了较大变化,预测未来流域干旱的时空变化与传播特征是应对气候变化、开展澜湄水资源合作的基础。利用SWAT模型通过气陆耦合方式模拟了澜沧江-湄公河流域历史（1960—2005年）和未来时期（2022—2050年,2051—2080年）的水文过程,采用标准化降水指数和标准化径流指数预估并分析了流域未来气象水文干旱时空变化趋势。结果表明:①澜沧江-湄公河流域未来降水呈增长趋势,气象干旱将有所缓解,但降水年内分配不均与流域蒸发的增加,将导致水文干旱更为严峻,干旱从气象到水文的传播过程加剧;②水文干旱具有明显的空间异质性,允景洪和清盛站的水文干旱最为严重,琅勃拉邦、穆达汉和巴色站次之,万象站最弱;③未来流域水文干旱事件发生频次略有减少,但其中重旱、特旱事件占比增加,极端干旱将趋多趋强,且空间变化更加显著。     

基于贝叶斯理论的水文不确定性分析研究进展

水文过程受众多自然和人为因素影响,决定了其变化的极端复杂性,表现为确定性的动态规律与不确定性的统计规律共存。水文不确定性分析的理论和方法在认识水文规律中发挥着重要作用,其中贝叶斯作为一种主要理论方法在水文水资源相关问题的研究中得到了较广泛的应用。本文评述了贝叶斯理论在水文频率分析、水文预报、确定性和不确定性方法耦合等研究中的进展,对基于贝叶斯理论的水文不确定性重点研究内容进行了展望。     

Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices

Karamoja is notoriously food insecure and has been in need of food aid for most years during the last two decades. One of the main factors causing food insecurity is drought. Reliable, area-wide, long-term data for detecting and monitoring drought conditions are critical for timely, life-saving interventions and the long-term development of the region, yet such data are sparse or unavailable. Due to advances in satellite remote sensing, characterizing drought in data-sparse regions like Karamoja has become possible. This study characterizes agricultural drought in Karamoja to enable a comprehensive understanding of drought, concomitantly evaluating the suitability of NDVI-based drought monitoring. We found that in comparison with the existing data, NDVI data currently provide the best, consistent, and spatially explicit information for operational drought monitoring in Karamoja. Results indicate that the most extreme agricultural drought in recent years occurred in 2009 followed by 2004 and 2002 and suggest that in Karamoja, moderate to severe droughts (e.g., 2008) often have the same impact on crops and human needs (e.g., food aid) as extreme droughts (e.g., 2009). We present in a proof-of-concept frame, a method to estimate the number of people needing food assistance and the population likely to fall under the integrated food security phase classification (IPC) Phase 3 (crisis) due to drought severity. Our model indicates that 90.7% of the variation in the number of people needing aid can be explained by NDVI data and NDVI data can augment these estimates. We conclude that the biggest drivers of food insecurity are the cultivation of crops on marginal land with insignificant inputs, the lack of irrigation and previous systematic incapacitation of livestock (pastoral) alternatives through government programming. Further research is needed to bridge empirical results with social–economic studies on drought impacts on communities in the region to better understand additional factors that will need to be addressed to ensure livelihood resilience.     

Understanding the impact of droughts in the Yarmouk Basin,Jordan: monitoring droughts through meteorological and hydrological drought indices

This article assesses drought status in the Yarmouk Basin (YB), in northern Jordan, using the Standardized Precipitation Index (SPI), the Standardized Water-Level Index (SWI), and the Percent Departure from Normal rainfall (PDNimd) during the years 1993–2014. The results showed that the YB suffers from frequent and irregular periods of drought as variations in drought intensity and frequency have been observed. The SPI results revealed that the highest drought magnitude of ??2.34 appeared at Nuaimeh rainfall station in 1991. This station has also experienced severe drought particularly in years 1995, 1999, 2005, and 2012 with SPI values ranging from ??1.51 to ??1.59. Some other rainfall stations such as Baqura, Ibbin, Khanasiri, Kharja, Mafraq police, Ramtha, Turra, and Umm Qais have also suffered several periods of drought mostly in 1993. The SWI results show the highest extreme drought events in 2001 in Souf well while other extreme drought periods were observed at Wadi Elyabis well in 1994 and at Mafraq well in 1995. As compared to SPI maps, our SWI maps reflect severe and extreme drought events in most years, negatively impacting the groundwater levels in the study area.     

基于熵权的沉降组合预测模型及应用

目前沉降预测方法很多,各有其自身的优点,但尚存在一定的局限性,为了尽可能地利用全部有用信息,利用“组合预测”思想,提出一种对多种常用预测模型进行熵权法计算权重的组合预测方法,从而可根据有限的沉降实测数据达到预测沉降目的,工程实例分析表明,基于熵权的组合预测模型能够充分挖掘各模型的有用信息,大大提高了预测精度,具有明显的优越性。     

Trends and variability of meteorological drought over the districts of India using standardized precipitation index

Meteorological drought during the southwest monsoon season and for the northeast monsoon season over five meteorological subdivisions of India for the period 1901–2015 has been examined using district and all India standardized precipitation index (SPI). Whenever all India southwest monsoon rainfall was less than ?10% or below normal, for those years all India SPI was found as ?1 or less. Composite analysis of SPI for the below normal years, viz., less than ?15% and ?20% of normal rainfall years indicate that during those years more than 30% of country’s area was under drought condition, whenever all India southwest monsoon rainfall was –15% or less than normal. Trend analysis of monthly SPI for the monsoon months identified the districts experiencing significant increase in drought occurrences. Significant positive correlation has been found with the meteorological drought over most of the districts of central, northern and peninsular India, while negative correlation was seen over the districts of eastern India with NINO 3.4 SST. For the first time, meteorological drought analysis over districts and its association with equatorial pacific SST and probability analysis has been done for the northeast monsoon over the affected regions of south peninsular India. Temporal correlation of all India southwest monsoon SPI and south peninsular India northeast monsoon SPI has been done with the global SST to identify the teleconnection of drought in India with global parameters.     

Structure analysis for concrete‐faced rockfill dams based on information entropy theory and finite element method

Numerical simulation methods are extensively used to analyze the stress and displacement of concrete‐faced rockfill dams (CFRD). The results of these methods are influenced by fuzzy factors, i.e. geometric features, material properties, loads and boundary conditions, which exist widely in the engineering of CFRD as a kind of commonly uncertain factor. To solve this problem, the information entropy theory and the conventional method of structure analysis, namely, finite element method (FEM), were combined in this work. Information entropy, as an effective tool of measuring uncertainty, was used to represent the uncertainty of CFRD. Based on the model that can transform fuzzy information entropy into random information entropy, fuzzy structure can be transformed into equivalent random structure, then mechanical characteristics of CFRD were analyzed by well‐developed stochastic FEM. As an example, one CFRD was chosen to analyze the structure, and the result shows that this method is effective. Copyright © 2011 John Wiley & Sons, Ltd.     

基于熵值法的BP网络输入变量加权分层方法研究

当BP网络模型的输入变量包括多个类别时,如果其中几类变量的个数远多于其它类别的变量,变量多的这几类会削弱其它类变量对输出变量的影响,导致模型预报误差增大。提出BP网络输入变量加权分层的改进方法。根据熵值法模型对每个类别包含的所有变量按其重要程度加权平均,得到代表各类的综合影响指标,将这些综合影响指标作为BP网络模型的输入变量得到模型预报结果。改进后的模型更全面合理地考虑了各类输入变量的变化对输出变量的影响,发展了神经网络的应用理论。实例计算表明,模型预报精度得到明显提高。     

基于区域农业用水量的干旱重现期计算方法

为研究实际水利条件下农业干旱的发生规律,简化农业干旱事件的评估方法,提出基于区域农业用水量的干旱重现期计算方法。通过构建农业用水量距平百分率干旱指标W_A,在基于降雨量距平百分率干旱指标P_A识别干旱事件的基础上,提取W_A干旱指标下的干旱历时和干旱烈度特征变量,并根据以P_A为干旱指标的干旱烈度频率分布曲线F_S（x）和干旱历时频率分布曲线F_D（x）,运用Copula的简化方法计算基于W_A的干旱事件重现期T,最后结合基于P_A的干旱事件重现期T₀,回归分析出T与T₀间关系的计算公式。选取干旱灾害影响严重的亳州市为实证区域开展应用研究,计算得到1975-2007年各场干旱事件的T₀和T以及T₀与T的经验关系式。结果表明:T比T₀更合理地反映区域农业实际受旱状况,重现期T₀和T间存在高度的相关关系,采用T的回归方程可简化计算考虑区域实际抗旱能力下的干旱事件重现期,在区域防旱减灾实践中具有推广应用价值。     

A new approach for developing comprehensive agricultural drought index using satellite-derived biophysical parameters and factor analysis method

The accurate assessment of drought and its monitoring is highly depending on the selection of appropriate indices. Despite the availability of countless drought indices, due to variability in environmental properties, a single universally drought index has not been presented yet. In this study, a new approach for developing comprehensive agricultural drought index from satellite-derived biophysical parameters is presented. Therefore, the potential of satellite-derived biophysical parameters for improved understanding of the water status of pistachio (Pistachio vera L.) crop grown in a semiarid area is evaluated. Exploratory factor analysis with principal component extraction method is performed to select the most influential parameters from seven biophysical parameters including surface temperature (T _s), surface albedo (α), leaf area index (LAI), soil heat flux (G _o), soil-adjusted vegetation index (SAVI), normalized difference vegetation index (NDVI), and net radiation (R _n). T _s and G _o were found as the most effective parameters by this method. However, T _s, LAI, α, and SAVI that accounts for 99.6 % of the total variance of seven inputs were selected to model a new biophysical water stress index (BPWSI). The values of BPWSI were stretched independently and compared with the range of actual evapotranspiration estimated through well-known METRIC (mapping evapotranspiration at high resolution with internal calibration) energy balance model. The results showed that BPWSI can be efficiently used for the prediction of the pistachio water status (RMSE of 0.52, 0.31, and 0.48 mm/day on three image dates of April 28, July 17, and August 2, 2010). The study confirmed that crop water status is accounted by several satellite-based biophysical parameters rather than single parameter.     

Impact of climate change on meteorological and hydrological droughts for Upper Coruh Basin,Turkey

Natural Hazards - Environmental changes have led to non-stationary flood risks in coastal cities. How to quantitatively characterize the future change trend and effectively adapt is a critical...     

Effects of human activities on hydrological drought patterns in the Yangtze River Basin,China

Natural Hazards - As an extremely important region for the socioeconomic development of China, the Yangtze River Basin (YRB) is vulnerable to climate change and natural disasters. In recent...