What is wrong with post-fire soil erosion modelling? A meta-analysis on current approaches,research gaps,and future directions

In the near future, a higher occurrence of wildfires is expected due to climate change, carrying social, environmental, and economic implications. Such impacts are often associated with an increase of post-fire hydrological and erosive responses, which are difficult to predict. Soil erosion models have been proven to be a valuable tool in the decision-making process, from emergency response to long-term planning, however, they were not designed for post-fire conditions, so need to be adapted to include fire-induced changes. In recent years, there have been an increasing number of studies testing different models and adaptations for the prediction of post-fire soil erosion. However, many of these adaptations are being applied without field validation or model performance assessment. Therefore, this study aims to describe the scientific advances in the last 20 years in post-fire soil erosion modelling research and evaluate model adaptations to burned areas that aim to include: (i) fire-induced changes in soil and ground cover; (ii) fire-induced changes in infiltration; (iii) burn severity; and (iv) mitigation measures in their predictions. This study also discusses the strengths and weaknesses of these approaches, suggests potential improvements, and identifies directions for future research. Results show that studies are not homogeneously distributed worldwide, according to the model type used or by region most affected by wildfire. During calibration, 73% of cases involved model adaptation to burned conditions, and only 21% attempted to accommodate new processes. Burn severity was addressed in 75% of cases, whilst mitigation measures were simulated in 27%. Additionally, only a minor percentage of model predictions were validated with independent field data (17%) or assessed for uncertainties (13%). Therefore, further efforts are required in the adaptation of erosion models to burned conditions, to be widely used for post-fire management decisions. © 2020 John Wiley & Sons, Ltd.     

A liquefaction severity index suggested for engineering practice

One of the major tasks in earthquake geotechnical engineering is the preparation of liquefaction susceptibility maps. For this purpose, some indices associated with liquefaction susceptibility are used. However, the currently used indices have some limitations. In this study, a liquefaction severity index, which can be used in preparation of susceptibility maps, is suggested. The suggested severity index is applied to two sites selected from Taiwan (Yuanlin) and Turkey (Inegol) to examine performance. The application indicated that the suggested index shows a good performance for the selected sites, and can be considered as a tool for further studies.     

Assessing burn severity and comparing soil water repellency,Hayman Fire,Colorado

An important element of evaluating a large wildfire is to assess its effects on the soil in order to predict the potential watershed response. After the 55 000 ha Hayman Fire on the Colorado Front Range, 24 soil and vegetation variables were measured to determine the key variables that could be used for a rapid field assessment of burn severity. The percentage of exposed mineral soil and litter cover proved to be the best predictors of burn severity in this environment. Two burn severity classifications, one from a statistical classification tree and the other a Burned Area Emergency Response (BAER) burn severity map, were compared with measured ‘ground truth’ burn severity at 183 plots and were 56% and 69% accurate, respectively. This study also compared water repellency measurements made with the water drop penetration time (WDPT) test and a mini‐disk infiltrometer (MDI) test. At the soil surface, the moderate and highly burned sites had the strongest water repellency, yet were not significantly different from each other. Areas burned at moderate severity had 1·5 times more plots that were strongly water repellent at the surface than the areas burned at high severity. However, the high severity plots most likely had a deeper water repellent layer that was not detected with our surface tests. The WDPT and MDI values had an overall correlation of r = ?0·64(p < 0·0001) and appeared to be compatible methods for assessing soil water repellency in the field. Both tests represent point measurements of a soil characteristic that has large spatial variability; hence, results from both tests reflect that variability, accounting for much of the remaining variance. The MDI is easier to use, takes about 1 min to assess a strongly water repellent soil and provides two indicators of water repellency: the time to start of infiltration and a relative infiltration rate. Copyright © 2005 John Wiley & Sons, Ltd.     

拉萨5mm以上降水日数与旱涝的关系

运用Ｚ指数法对拉萨历年汛期（６￣９月）的旱涝等级进行划分;并分析了实际日降水量≥５ｍｍ日数、相当日降水量≥５ｍｍ日数与旱涝等级的关系。结果表明：Ｚ指数法所划分的旱涝等级与实际情况吻合;相当日降水量≥５ｍｍ日数不仅对汛期雨水的丰欠具有决定性的作用,而且与旱涝等级有着极好的相关性。     

Mapping the liquefaction induced soil moisture changes using remote sensing technique: an attempt to map the earthquake induced liquefaction around Bhuj, Gujarat, India

The Bhuj earthquake (Mw = 7.9) occurred in the western part of India on 26th January 2001 and resulted in the loss of 20,000 lives and caused extensive damage to property. Soil liquefaction related ground failures such as lateral spreading caused significant damage to bridges, dams and other civil engineering structures in entire Kachchh peninsula. The Bhuj area is a part of large sedimentary basin filled with Jurassic, Tertiary and Quaternary deposits. This work pertains to mapping the areas that showed sudden increase in soil moisture after the seismic event, using remote sensing technique. Multi-spectral, spatial and temporal data sets from Indian Remote Sensing Satellite are used to derive the Liquefaction Sensitivity Index (LSeI). The basic concept behind LSeI is that the near infrared and shortwave infrared regions of electromagnetic spectrum are highly absorbed by soil moisture. Thus, the LSeI is herein used to identify the areas with increase in soil moisture after the seismic event. The LSeI map of Bhuj is then correlated with field-based observation on Cyclic Stress Ratio (CSR) and Cyclic Resistance Ratio (CRR), depth to water table, soil density and Liquefaction Severity Index (LSI). The derived LSeI values are in agreement with liquefaction susceptible criteria and observed LSI (R ² = 0.97). The results of the study indicate that the LSeI after calibration with LSI can be used as a quick tool to map the liquefied areas. On the basis of LSeI, LSI, CRR, CSR and saturation, the unconsolidated sediments of the Bhuj area are classified into three susceptibility classes.     

基于GIS的汶川地震灾区小流域土壤侵蚀评价——以彭州龙门山区为例

汶川大地震对龙门山区造成了严重破坏.地震引发的次生山地灾害以及剧烈的土壤侵蚀仍将长期持续地影响着当地居民的生产与生活.对地震前后小流域的土壤侵蚀严重性进行评价并分析其变化,将对灾后小流域水土保持综合治理及生态恢复与重建工作具有重要的指导意义.基于GIS技术,以四川省彭州市龙门山区为研究区,以小流域作为基本单元,针对研究区地震灾区小流域土壤侵蚀,构建侵蚀严重性指数评价及分级方法,对地震前后土壤侵蚀严重性及变化特征并进行评价与分析.结果表明,地震后绝大部分小流域的土壤侵蚀趋重.震后土壤侵蚀程度不严重、较严重的小流域数量别由震前8个及21个降至5个及8个,新增严重、极严重小流域分别为12个及4个,相应面积分别为183.76 km2,52.70 km2.空间上流域土壤侵蚀严重性由西北向东南递减.地震前后小流域平均海拔、平均坡度与侵蚀严重程度正相关,且平均坡度对侵蚀严重程度加重贡献更大.     

森林过火区植被遥感参数的变化与恢复特征分析

遥感技术可以快速、准确地监测森林火灾火烧迹地的植被遥感参数变化,分析植被对火灾的响应与恢复特征,为防灾减灾决策提供科学依据。本文首先基于森林火灾前后的Landsat5 TM数据,利用差分归一化燃烧指数（the Differential Normalized Burn Ratio,dNBR）来提取2009年澳大利亚维多利亚州火烧迹地的范围,计算过火区面积及火烧强度;其次基于时间序列的全球地表特征参量（Global Land Surface Satellite,GLASS）产品中的叶面积指数（Leaf Area Index,LAI）、吸收光合有效辐射比例（Fraction of Absorbed Photosynthetically Active Radiation,FAPAR）数据,利用距平分析法对比不同火烧强度过火区植被与未过火区植被受森林火灾的影响状况与植被恢复特征。结果表明,森林火灾发生后,LAI、FAPAR值迅速降低,火烧强度越大,LAI、FAPAR下降程度越大,高火烧强度过火区的LAI、FAPAR最大降幅分别为中火烧强度、低火烧强度过火区的1.2、1.3倍;随时间推移,LAI、FAPAR值逐渐上升,在2-3年内恢复至未过火区水平。LAI、FAPAR恢复至未过火区平均水平的时间与森林火灾规模、火烧强度密切相关：维多利亚州森林火灾过火区域中大过火斑块、高火烧强度林地的植被遥感参数恢复时间相比小过火斑块、低火烧强度林地滞后1-2年。植被遥感参数LAI、FAPAR能很好地反映过火区植被的受损状况及恢复过程。     

基于卫星观测的辽东湾冰情统计分析

根据渤海6个海洋站的海冰监测及气温观测数据统计,终冰日及冰期可用来表征当年渤海冰情严重程度,在大多数年份冰情与终冰日早晚和冰期长短呈负相关。根据2006/2016年的辽东湾海冰面积及外缘线资料,分析了11年间辽东湾冰情的年变化特征,分析结果显示,辽东湾海冰受局地气温影响明显,两者呈较显著的负相关关系。分析结果发现,辽东湾海冰年际变化除受局地气候的影响外,还受太平洋副热带高压(简称副高)、极涡、东亚槽和欧亚环流等气候因子的共同调控,其中受太平洋副高北界位置指数、极涡面积指数、东亚槽强度指数、欧亚纬向环流指数影响最为显著,可作为辽东湾海冰预测的重要因子,此外北极海冰密集度也可以为预测当年冬季辽东湾每月冰情提供依据。     

深Ⅱ°烧伤创面应用CHIMEHERB人工皮与酒精冷藏猪皮的比较

通过CHIMEHERB人工皮与酒精冷藏猪皮在深Ⅱ°及混合度烧伤创面上的应用比较,表明两者的粘附,透水等性能以及止痛效果一致.且前者比后者的优点是:不占位、平均提早创面愈合时间2～3.5d(天),并减少换药次数.     

甲壳胺人工皮临床应用初步观察

使用甲壳胺人工皮复盖Ⅱ°烧伤新鲜创面,深Ⅱ°及Ⅲ°削切痂创面,供皮区创面共20例、25个创面,发现有减少创面渗出,减少疼痛,减少换药次数,节省敷料,防止加深,比传统方法提前2～3d(天)治愈的优点.