ライフサイエンスコーパス: flood

1 tability, of microplastic entrainment during floods.

2 factors, to the lack of a complete record of floods.

3 atures, heat waves, wildfires, droughts, and floods.

4 on and climate change have intensified urban floods.

5 nalyze atmospheric phenomena responsible for floods.

6 degree to which the nearby road segments are flooded.

7 ating sea-level rise, and increasing coastal flooding.

8 that MIS11 ice loss was coupled with marine flooding.

9 risk and an increased likelihood of fluvial flooding.

10 osure to some extent, and highly tolerant to flooding.

11 and, hence, combined stress by salinity and flooding.

12 otentially mobilize residual oil after water flooding.

13 people live on deltas and their exposure to flooding.

14 extreme water levels can double the odds of flooding.

15 n to mitigate the societal impacts of future flooding.

16 he global scale and responsive to periods of flooding.

17 better understanding of wave-driven nuisance flooding.

18 of which ~73% is caused by surface and river flooding.

19 o 60-fold for toxic equivalency (TEQ) during flooding.

20 lenges include rising temperatures and flash flooding.

21 ds germinating under control (saturated) and flooded (10 cm) soils.

22 rated by three mechanisms: (1) direct marine flooding, (2) storm-drain backflow, and (3) groundwater

23 me drought (2012), extreme precipitation and flood (2014) and moderate drought conditions (2013 and 2

24 g a giant tsunami that poured over the coast flooding 500 km alongshore the Mexican Pacific coast and

25 (2015-2017), encompassing normal conditions, floods, a dry El Nino period, and a hurricane.

26 While recent increases in flooding across the world have been partly attributed to

27 esses lead to divergent functions (as in the flooded agroecosystem).

28 fall, and then real-time updates of expected flooding along the typhoon's path.

29 For example, during previous flood and interflood periods, 41 per cent and 42 per cen

30 tial to identifying significant responses to flood and thermal regimes.

31 forest environments (Terra Firme, Seasonally Flooded and White Sand).

32 es and ecosystems from rising seas and storm flooding and influence the stability of barrier islands

33 999, causing catastrophic human impacts from flooding and leading to major alterations of water quali

34 effects of global warming, extreme weather, flooding and other consequences of climate change on mic

35 also explore the proton path using our water flooding and protein dipole Langevin dipole semimacrosco

36 avulsions in meandering rivers often produce flooding and sediment deposition during channel construc

37 ffect against cases during the monsoon, when flooding and water contamination are more likely.

38 igation systems were designed to incorporate floods and convert them into productive waters.

39 ent of socio-economic vulnerability to flash floods and investigates the main characteristics of flas

40 d to decipher the circular causality between floods and rivers.

41 iotic stresses, including drought, salinity, flooding, and temperature stress.

42 lone hazards: peak sustained wind, rainfall, flooding, and tornadoes.

43 one frequent and intense heat waves, storms, floods, and droughts.

44 arely witnessed, avulsions can cause massive floods, and over geologic time they create most of the f

45 s were lost, 15 million more people would be flooded annually across the world.

46 change continues to expand, and the risks of flooding are increasing.

47 Among the periods richest in floods are 1560-1580 (western and central Europe), 1760-

48 Floods are a major contributor to natural disasters in S

49 Features indicative of floods are a series of symmetrical, 10 m-high gravel rid

50 However, atmospheric conditions leading to floods are not well understood due, among other factors,

51 feature large and increasing percentages of flooded area impacted simultaneously by the three flood

52 k, efficient and versatile model to identify flooded areas and the flood depth, using a hybrid of hyd

53 nal properties in permanently and seasonally flooded areas are lacking.

54 ences between the permanently and seasonally flooded areas caused by intra-annual water level fluctua

55 olic processes in permanently and seasonally flooded areas caused by water level fluctuations in a se

56 luding recent increases in precipitation and flooding associated with tropical cyclones.

57 nce that several areas experience noticeable flooding at tide heights lower than existing flood thres

58 occurrence of a very large bolide impact and flood basalt volcanism near the boundary.

59 he Central Atlantic Magmatic Province (CAMP) flood basalts.

60 River deltas are especially vulnerable to flooding because of their low elevations and densely pop

61 endpoint scenarios, such as the increase in flooding by 2050 or 2100.

62 pulation and 46% of global assets at risk of flooding by 2100.

63 ected to be a significant change in episodic flooding by the end of the century are identified and fo

64 organisms, on an Antarctic beach inside the flooded caldera of an active volcanic island.

65 tems and where intense rainfall and seasonal flooding can result in considerable aquatic C export (Si

66 Natural hazards including floods can trigger catastrophic failures in interdepende

67 pitation, resulting in localized droughts or flooding, can erode the base of freshwater food webs, wi

68 Tertiary EOR, including surfactant flooding, can potentially mobilize residual oil after wa

69 Catastrophic floods cause deaths, injuries, and property damages in c

70 Erratic rainfall leading to flash flooding causes huge yield losses in lowland rice.

71 aper proposes a new framework for connecting flood changes to longitudinal variability in river conve

72 . erectus bone bed, which accumulated during flood conditions(3,17).

73 'sinks' to 'sources' of microplastics under flood conditions.

74 We integrated the flood contagion model with the network percolation proce

75 as other types of ecosystem services such as flood control and fish and wildlife habitat, should be c

76 is shown, that for the majority of analyzed floods, convectively coupled Kelvin waves, large scale p

77 reducing recent estimates of global coastal flood costs by ~16%, and population affected by ~8%.

78 may be remedied using large-scale empirical flood damage data.

79 In particular, flood damage is widely assumed to increase monotonically

80 s found in marginal-marine, storm- and river-flood deposits from the Middle Devonian Naranco Formatio

81 tile model to identify flooded areas and the flood depth, using a hybrid of hydraulic model and ML me

82 nts conducted in a natural field with 3-5 cm flooding depths, control and pretreated seeds of Ciheran

83 Flooding detected with synthetic aperture radar (>91% ac

84 th increases and decreases in observed river flood discharges in the past five decades in Europe, whi

85 rojections, we find that the odds of extreme flooding double approximately every 5 years into the fut

86 ear motivation for improved understanding of flood drivers.

87 the relationship between rain, extreme rain, flood, drought, and season (rainy vs. dry) and diarrheal

88 same sediment cores to evaluate the role of flooding, drought, and environmental degradation in Caho

89 ivariate CEs potentially causing high-impact floods, droughts, and fires.

90 Flooding due to extreme weather threatens crops and ecos

91 G1 and AG2 QTLs associated with tolerance of flooding during germination, together with seed pre-trea

92 iver in Bangladesh and Northeast India often floods during the monsoon season, with catastrophic cons

93 imited by the use of thin sulfur electrodes, flooded electrolytes and Li metal degradation.

94 mmends elevating existing houses to the Base Flood Elevation (the elevation of the 100-year flood) pl

95 arm and wet climate persisted even after the flooding ended, but its duration cannot be determined by

96 arch concentration decreased gradually under flooding especially in the tolerant checks and in AG1 +

97 monitoring (such as landslides, earthquakes, floods), especially those with meager occurrence probabi

98 pplications such as agricultural irrigation, flood event prediction, and drought and fire management.

99 ples (n = 280) at as high as 18 mug L(-1) in flood events and 14 mug L(-1) in base flow.

100 exports) and regions where multiple extreme flood events can occur within a single year (e.g., the A

101 ienced three extreme tropical cyclone-driven flood events since 1999, causing catastrophic human impa

102 ominated by treated wastewater effluents and flood events transporting rural and urban non-point-sour

103 Here we use the remarkability of flood events, measured by flood-related posts on social

104 ted to Kelvin waves was found in over 90% of flood events.

105 nating the base flow and caffeine dominating flood events.

106 r that fundamentally alters the frequency of flood events.

107 construct a fascinating timeline of episodic flooding events (ranging from 3.7 to 3.6 Ga to ca. 2.0 G

108 events and is known historically for cyclic flooding events and, within the last 20 years, for groun

109 h can exacerbate nutrient export problems as flooding events intensify in the future climate.

110 A network of urban roads resilient to flooding events is essential for the provision of public

111 n and natural systems, predominantly through flooding events.

112 Core flood experiments are common practice to evaluate surfac

113 Core flood experiments, however, are expensive and time-consu

114 two-leg breakthrough curves observed in core flood experiments; the normalized root-mean-square error

115 Microfluidic flooding experiments were conducted to evaluate how alka

116 ults suggest that many published large-scale flood exposure estimates may require significant revisio

117 n operational remote sensing-based hurricane flood extent mapping method, examined potential water qu

118 prediction of flow depth, flow velocity, and flood extent.

119 Here a method is developed that identifies flooding extents and infrastructure vulnerabilities that

120 in Mn concentration were combined from three flooded-field experiments from the two sites and 3 years

121 rby Quelccaya ice core records indicate lake flooding followed a pronounced wet period beginning ~152

122 st responders, and other decision-makers for flood forecast in road networks.

123 stories, including species restricted to non-flooded forests, are needed to further advance our under

124 es were sampled across a gradient of wetland flood frequency, applying both microscope-based morpholo

125 So far, estimates of future coastal flooding frequency focus on endpoint scenarios, such as

126 and generated a small Glacial Lake Outburst Flood (GLOF).

127 When such dams break, glacier lake outburst floods (GLOFs) can cause catastrophic societal and geomo

128 We find that the 100-y outburst flood has an average volume of 33.5(+3.7)/(-3.7) x 10(6)

129 An improved understanding of changes in flood hazard and the underlying driving mechanisms is cr

130 igate the vulnerabilities of 1622 schools to flood hazard in Chaharmahal and Bakhtiari Province, Iran

131 Further, flood hazard inferred from the recurrence frequency of h

132 e be insufficient to accurately characterise flood hazard risk in the region, both in the context of

133 ce of socio-economic vulnerability and flash flood hazard were investigated to identify the critical

134 vestigates the main characteristics of flash flood hazard, i.e. frequency, duration, severity, and ma

135 o would be valid for resource-management and flood-hazard-mitigation strategies for coastal communiti

136 predicting landslides, land subsidence, and flood hazards in the study area.

137 Considering deep uncertainties surrounding flood hazards, the discount rate, the house lifetime, an

138 ment; however, they also create catastrophic flood hazards.

139 e more vulnerable and may be more exposed to flood hazards.

140 Flood histogram data were acquired using a 3-MBq (22)Na

141 Results: The flood histogram measurements showed excellent and unifor

142 analyse how recent decades compare with the flood history of Europe, using a new database composed o

143 of natural hazard events (e.g., earthquakes, floods, hurricanes) on assets, people and society is of

144 ories, then using the information to predict flood hydrographs for a watershed on Taiwan.

145 low into a reservoir, allowing prediction of flood hydrographs up to two days in advance with continu

146 g flow characteristic curves, and predicting flood hydrographs.

147 oncern in agricultural soils especially when flooding (hypoxic conditions) results from over irrigati

148 sing high-resolution historical data of road flooding in Harris County during Hurricane Harvey in 201

149 f increasing economic losses associated with flooding in many parts of the world, including Europe(2)

150 ltering the frequency and magnitude of river floods in an unprecedented way(1).

151 rts in-situ sedimentologic evidence of giant floods in Gale crater, Mars, during the Noachian Period.

152 , respectively, compared with 55 per cent of floods in the recent period.

153 lood propagation rate ([Formula: see text]), flood incubation rate ([Formula: see text]), and recover

154 2+), Mn(2+), Co(2+), or Zn(2+) Consequently, flooding infected cells with either Mn(2+) or Zn(2+) all

155 US using >2 million claims from the National Flood Insurance Program (NFIP).

156 pproximately 7% of irrigated lands linked to flood irrigation and water storage practices supported 6

157 Flash flood is among the most catastrophic natural hazards whi

158 Flash flood is mainly initiated by intense rainfall, and due t

159 Coastal flooding is increasingly common in many areas.

160 Sea-level rise (SLR) induced flooding is often envisioned as solely originating from

161 y of vulnerable assets and present-day tidal flooding issues.

162 tance significantly, indicating that neither flooding itself, nor seawater sulfate, contributed great

163 M people live on land below projected annual flood levels for 2100, and up to 340 M for mid-century,

164 lobal population exposed to tropical cyclone flooding live on deltas, with 92% (28 million) in develo

165 microbial communities for bioremediation by flooding local populations with catabolic genes for petr

166 Observed flood losses are not monotonic functions of depth, but i

167 Uncertainty in flood losses has been called the main bottleneck in floo

168 ding to promote the development of effective flood management strategies.

169 entifying the regions where the magnitude of floods may change.

170 ed area impacted simultaneously by the three flood mechanisms, in which groundwater inundation and di

171 (extreme heat, fire, drought), hydrological (flooding), meteorological (hurricanes), and geophysical

172 In sharp contrast to modern-day flood mitigation efforts, ancient farmers used floodwate

173 ve vastly improved the precision of physical flood models, but translation into economic outputs requ

174 ections of future hazard from meteorological floods need to account for the extreme runoffs during la

175 tions might currently be exposed to nuisance flooding not identified via standard measures.

176 per cent and 42 per cent of central European floods occurred in summer, respectively, compared with 5

177 of biological macromolecules, resulting in a flood of new molecular insights into protracted biologic

178 colation process in which the probability of flooding of a road segment depends on the degree to whic

179 ognize valleys, based on the pattern of lava flooding of tesserae margins by adjacent plains volcanis

180 We study the effects of floods on road networks in China and the United States,

181 ed to obtain projections of episodic coastal flooding over the coming century.

182 In flooded paddy soils, inorganic and methylated thioarsena

183 Flood peaks from GLOFs mostly attenuate within Himalayan

184 at they emitted at 340 kg CH(4) d(-1) during flooded periods despite their substantially lower areal

185 ood Elevation (the elevation of the 100-year flood) plus a freeboard.

186 ydrographs provide early warning of possible flooding prior to typhoon landfall, and then real-time u

187 d based on three macroscopic characteristics-flood propagation rate ([Formula: see text]), flood incu

188 rs, one often-forgotten driver of changes in flood properties is the variability of river conveyance

189 omic models, and find that mangroves provide flood protection benefits exceeding $US 65 billion per y

190 eceive more than $US 250 million annually in flood protection benefits from mangroves.

191 ribute to water security, energy supply, and flood protection but also fragment habitats of freshwate

192 socioeconomic impacts engendered by extreme floods provides a clear motivation for improved understa

193 Here, the 5 year flood record for Sumatra derived from governmental repor

194 Flooding reduced seedling emergence of all genotypes, th

195 tury will see significant changes to coastal flooding regimes (where present-day, extreme-but-rare ev

196 investigate the continuous shift in coastal flooding regimes by quantifying continuous rates of incr

197 We identify regions where extreme floods regularly occur outside the normal flood season (

198 Plants must manage cell swelling during flooding, rehydration, and pathogen invasion-but little

199 e remarkability of flood events, measured by flood-related posts on social media, to estimate county-

200 of the damage and casualties they cause are flood-related.

201 ich groundwater inundation and direct marine flooding represent the most and least substantial single

202 Building resilience to flash floods require understanding of the socio-economic chara

203 ocesses that may contribute to variations in flooding resilience.

204 Soil flooding resulted in rapid formation of inorganic thioar

205 ntally that approximately 80 water molecules flood rhodopsin upon light absorption to form a solvent-

206 Unlike flooded rice, dryland cereals such as sorghum, pearl mil

207 The exceptional nature of the present-day flood-rich period calls for process-based tools for floo

208 ned unclear whether Europe is currently in a flood-rich period from a long-term perspective.

209 ng cooler-than-usual phases, but the current flood-rich period has been much warmer.

210 We identified nine flood-rich periods and associated regions.

211 t the past three decades were among the most flood-rich periods in Europe in the past 500 years, and

212 ars, and that this period differs from other flood-rich periods in terms of its extent, air temperatu

213 Historical studies have identified flood-rich periods in the past half millennium in variou

214 In most parts of Europe, previous flood-rich periods occurred during cooler-than-usual pha

215 the future given projected changes to global flood risk and an increased likelihood of fluvial floodi

216 e potential for counteracting the increasing flood risk associated with sea-level rise and tidal and/

217 Here we analyze a case-study of riverine flood risk management using a multi-objective robust dec

218 th extreme floods with valuable insights for flood risk management.

219 the economic value of mangroves forests for flood risk reduction every 20 km worldwide.

220 osses has been called the main bottleneck in flood risk studies, an obstacle that may be remedied usi

221 edict an intensified monsoon and increase in flood risk with warming, robust baseline estimates of na

222 o revise and refine our estimation of future flood risk, this work highlights that multidriver attrib

223 ents study schools in locations of very high flood risk.

224 he potential for increased predictability of flood risk.

225 ich period calls for process-based tools for flood-risk assessment that capture the physical mechanis

226 ance from schools to create a school-focused flood-risk map.

227 Coastal flood risks are rising rapidly.

228 Our results imply that flood risks may amplify in the wet season.

229 rs around the world elevate houses to manage flood risks.

230 ion and recall for the spatial spread of the flooded roads at the majority of tested time intervals.

231 odel can monitor and predict the fraction of flooded roads over time.

232 forest islands within a treeless, seasonally flooded savannah.

233 The method includes simulation of flood scenarios consisting of high-resolution raster dat

234 me floods regularly occur outside the normal flood season (e.g., the Sierra Nevada Mountains due to t

235 Flood seasonality is also more pronounced in the recent

236 in terms of its extent, air temperatures and flood seasonality.

237 100 high-resolution (sub-annual) historical flood series based on documentary evidence covering all

238 Seawater flooding significantly reduced CO(2) assimilation, trans

239 aim of this paper is to present an efficient flood simulation framework that can be applied to large-

240 resulting in disruptive heatwaves, droughts, flooding, snowfalls, and cold spells.

241 ne was the most persistent antibiotic in the flooded soil system (DT(50) = 77 days), followed by sulf

242 dissipation rates of antibiotics in tropical flooded soil systems.

243 ion and maintain greater nitrate-N levels in flooded soil.

244 uld therefore, improve crop establishment in flooded soils and encourage large-scale adoption of dire

245 Rice seeds germinating in flooded soils encounter hypoxia or even anoxia leading t

246 Roots in flooded soils experience hypoxia, with the least O(2) in

247 nd their combination when directly seeded in flooded soils using dry seeds.

248 to higher germination and seedling growth in flooded soils.

249 most and least substantial single-mechanism flood source, respectively.

250 ies that are likely to result from alternate flood sources over coming decades.

251 gravity and lower stomatal density, whereas flooded species had wider vessels, and higher leaf and x

252 pecies were significantly more negative than flooded species.

253 Analysis of these maps at the end of various flooding stages revealed that the nanofluid invaded into

254 used four machine learning models to produce flood susceptibility maps.

255 from the phase-viscosity map to expected ASF flood test performance in micromodels.

256 Local measures of flooding that are comparable over large areas are diffic

257 Typhoon-related precipitation can produce flooding that is often only predictable a few hours in a

258 Sharp to cause gigantic flash floods that deposited the SU and the HPU on Aeolis Palus

259 dslides, avalanches, rock falls, and (flash) floods - that affect this area every year, damaging popu

260 es of agroecosystems (the upland, paddy, and flooded) that represent a gradient of stochastic versus

261 Flooding the field with non-ionic dextrose eliminates al

262 ity can also create conditions favorable for flooding, the enhanced precipitation related to Kelvin w

263 Annual exceedance frequencies of simulated flood thresholds are established using a statistical mod

264 on social media, to estimate county-specific flood thresholds for shoreline counties along the east c

265 e statistically-indistinguishable from minor flood thresholds of nearby tide gauges, we find evidence

266 flooding at tide heights lower than existing flood thresholds.

267 rved deltas, which cannot naturally mitigate flooding through sediment deposition.

268 decrease in microplastics abundance from the flood tide to the ebb tide was found, and a weak positiv

269 soil redox conditions change, that is, from flooding to drainage to reflooding, batch incubations an

270 ed to reevaluate main sources of SLR induced flooding to promote the development of effective flood m

271 ty could regulate ERF-VII levels and improve flood tolerance, but requires detailed structural inform

272 or 24 h also improved traits associated with flooding tolerance.

273 s will be useful for development of superior flood tolerant rice cultivars.

274 landslides, wildfires, land subsidence, and floods using machine learning models that include suppor

275 provide a useful approach for characterizing flood variability and for attributing climatic drivers o

276 lity and for attributing climatic drivers on flood variability and magnitude.

277 Here, we assess flood vulnerability in the US using >2 million claims fr

278 Floods waned rapidly, eroding antidune crests, and re-de

279 approach can significantly improve existing flood warning systems and provide early warnings to rese

280 nhanced rainfall maps can be used to improve flood warnings and facilitate real-time operation of sto

281 puted tomography coupled with miniature core-flooding was used to evaluate their ability to enhance o

282 ethoxazole, trimethoprim) and incubated with flood water of different salt concentrations (0, 10, 20

283 ogical uncertainties to predicting droughts, floods, water resource availability, and ecosystem servi

284 of high-resolution raster datasets featuring flood-water depth generated by three mechanisms: (1) dir

285 The most likely mechanism that generated flood waters of this magnitude on a planet whose present

286 volution of the sediment bed surface and the flood wave characteristics controls the transition from

287 Through assessment of multi-mechanism flooding, we find that approaching decades will likely f

288 trates that catastrophic freshwater outburst floods were not a prerequisite for large perturbations.

289 A total of 68% of the global coastal area flooded will be caused by tide and storm events with 32%

290 Given that coastal flooding will only worsen, we must reframe this problem

291 ral environment, our senses are continuously flooded with a myriad of signals.

292 ural environment the senses are continuously flooded with a myriad of signals.

293 Corneal scrapes were flooded with SmartProbes (BAC One or BAC Two) and evalua

294 By contrast, flooding with distilled water or MgSO(4) did not affect

295 the southwest U.S. experienced severe flash flooding with high magnitude, whereas the Northern Great

296 In-situ saturation data reveals that flooding with only 0.1 wt% of E-CNS in brine resulted in

297 d roots, date palm seedlings were exposed to flooding with seawater and its major constituents under

298 circulation patterns associated with extreme floods with valuable insights for flood risk management.

299 The evolution of floods within networks can be captured based on three ma

300 ted as risk-averse, largely avoiding obvious flood zones.