Watershed-scale vegetation,water quantity,and water quality responses to wildfire in the southern Appalachian mountain region,United States     

Peter V. Caldwell  Katherine J. Elliott  Ning Liu  James M. Vose  David R. Zietlow  Jennifer D. Knoepp 《水文研究》2020,34(26):5188-5209

Wildfires are landscape scale disturbances that can significantly affect hydrologic processes such as runoff generation and sediment and nutrient transport to streams. In Fall 2016, multiple large drought-related wildfires burned forests across the southern Appalachian Mountains. Immediately after the fires, we identified and instrumented eight 28.4–344 ha watersheds (four burned and four unburned) to measure vegetation, soil, water quantity, and water quality responses over the following two years. Within burned watersheds, plots varied in burn severity with up to 100% tree mortality and soil O-horizon loss. Watershed scale high burn severity extent ranged from 5% to 65% of total watershed area. Water quantity and quality responses among burned watersheds were closely related to the high burn severity extent. Total water yield (Q) was up to 39% greater in burned watersheds than unburned reference watersheds. Total suspended solids (TSS) concentration during storm events were up to 168 times greater in samples collected from the most severely burned watershed than from a corresponding unburned reference watershed, suggesting that there was elevated risk of localized erosion and sedimentation of streams. NO₃-N concentration, export, and concentration dependence on streamflow were greater in burned watersheds and increased with increasing high burn severity extent. Mean NO₃-N concentration in the most severely burned watershed increased from 0.087 mg L⁻¹ in the first year to 0.363 mg L⁻¹ (+317%) in the second year. These results suggest that the 2016 wildfires degraded forest condition, increased Q, and had negative effects on water quality particularly during storm events.  相似文献   

利用BDS与无人船进行污染源分析及处理     

姜沣珊  岳中杨  程俊颖  赵泽阳 《测绘通报》2020,(2):155-159

在大数据的背景下，充分利用北斗卫星导航系统（BDS）的定位功能，以无人船作为用户端，在水质数据采集和污染源位置的问题中积极探索新的实践方案，迅速、准确地找到污染源，减少河流污染物污染的时间，且无人船上装有净化模块，在发现污染时可作简易处理。在无人船上安装水质分析仪，水质分析仪的传输模块中安装经给防水处理的北斗卫星定位芯片和WiFi数据传输器，进而对河流的污染物种类及浓度进行分析，并采用大数据的计算方法，计算出污染源位置，向云平台反映污染源位置分析结果与污染物处理方法。通过BDS，将数据按照位置区域划分，并将能到达污染源的最短路径发送到处理人的移动设备上。本文通过对基于BDS定位的水质污染监测可视化系统进行分析，以期迅速找出污染源，减少水质污染现象的发生。  相似文献   

泉水流量、电导率、pH值动态变化研究     

余保汶  肖敏杰  王旭  费璇 《地质与资源》2020,29(4):380-387

岩溶水是指赋存于岩溶孔隙中的地下水，是我国南方生产生活主要用水来源.随着社会对水资源需求的逐步扩大，岩溶水资源的开发利用越发重要.通过定期监测岳麓山泉水流量、电导率、pH值，结合岳麓山岩土层性质和长沙市降雨量，采用统计分析和Spearman秩相关系数法对泉水流量变化和泉水水质定性评价进行研究.研究结果表明，大气降雨对岩溶水进行补给从而使泉水流量增大，泉水流量的改变除与降雨量有关外，还受土壤入渗率和降雨时长的影响.采用Spearman秩相关系数法可定量计算电导率与时间的相关性，间接判断周围环境对泉水水质影响的难易程度，有利于识别电导率代表性位置泉眼，更好地监测和评价岩溶水.土壤酸沉降污染严重或酸雨频繁地区易导致岩溶水pH值呈酸性.对泉水流量和水质的研究有利于科学开发利用岩溶水资源.  相似文献   

济南东部岩溶水有机污染健康风险评价          下载免费PDF全文

张海林  林广奇  马河宽  刘文 《山东国土资源》2018,34(11)

近年来,济南岩溶水有机污染越来越突出,为了探究济南岩溶水有机污染对居民健康造成的影响,保障饮用水安全,该文在系统分析研究区水文地质条件的基础上,采用USEPA推荐的健康风险评价模型,根据实际采样测试数据,分析评价了济南东部3处岩溶水井点的有机污染对其范围内暴露人群造成的健康风险。结果表明:检出的主要有机污染物为三氯甲烷、四氯化碳、三氯乙烯、四氯乙烯。3个水井的有机污染非致癌风险未超过限值1,在可接受的范围内,四氯化碳的非致癌风险所占比例最大,为89.85%; 3个采样点有机污染致癌风险,超出了其可接受水平的最小限制10-6,但均未超出可接受的致癌风险的最大限制10-4,风险指数均在10-6~5.0×10-5之间,应该引起关注,产生致癌风险的主要污染物为三氯乙烯。有机污染非致癌风险和致癌风险的主要暴露途径为呼吸吸入,其次是饮水吸收,皮肤接触暴露途径风险值最小。  相似文献   

苏北浅滩海底地下水排放及其对海域营养盐通量的贡献     

赵世彬  姚庆祯  于志刚  许博超  韦钦胜  南海明 《海洋与湖沼》2018,49(5):1038-1044

海底地下水排放(SGD)是近海海域的一个重要的营养盐来源。本研究借助多种天然镭同位素对春季苏北浅滩海域的SGD及其携带入海的营养盐通量进行量化评估。研究发现:苏北浅滩海域的~(224)Ra、~(223)Ra和~(226)Ra等镭同位素的浓度水平较高,呈现近岸高、远岸低的分布趋势;根据~(224)Ra/~(226)Ra的"表观年龄模型"估算的水龄的分布情况推断,春季该海域表层水体主体流向为东北向,流速约为0.1m/s,这与前人物理海洋数值模拟结果一致;最终利用226Ra质量平衡模型发现海域的SGD通量为(46±29)cm/d,由其携带入海的溶解态无机氮、磷、硅营养盐(DIN、 DIP、 DSi)等的通量分别为(2.6±3.1)×1~09、(3.0±2.5)×10~6和(5.5±4.2)×10~8mol/d。  相似文献   

Managing land-use effects on Northland dune lakes: lessons from the past     

Tom Stephens  Paul Augustinus  Brett Rip  Patricia Gadd  Atun Zawadski 《新西兰海洋与淡水研究杂志》2018,52(3):409-429

The Northland region of New Zealand includes numerous high-value, macrophyte-dominated dune lakes. Recent water policy reforms offer limited guidance on managing for aquatic macrophytes. In addition, dune lake histories are poorly known as regular monitoring dates to 2005 AD. Here, ca. 4000 years of lake functional behaviour is reconstructed from sedimentary archives in two Northland dune lakes (Humuhumu and Rotokawau). Results demonstrated that macrophyte dominance is sensitive to catchment erosion and hydrological drawdown. Degradation of macrophyte communities occurred in the nineteenth and twentieth centuries, earlier at Lake Humuhumu than Lake Rotokawau (post-1880 AD and post-1930 AD, respectively). In both lakes, increased erosional influx reduced macrophyte productivity, before later increases to wider trophic state (post-1970 AD). Lake-level decline is linked to increased nutrient loading at Lake Rotokawau but less so, Lake Humuhumu which is more strongly groundwater-fed. In Northland dune lakes, water-level reduction and erosional influx from land use have driven macrophyte degradation.  相似文献   

The bivalve Lembulus bicuspidatus may enhance denitrification in shelf sediment at the Angola–Benguela Frontal Zone     

A Neumann  A Flohr 《African Journal of Marine Science》2018,40(1):91-96

We collected living individuals of the bivalve Lembulus bicuspidatus, which shows an unusual preference for the oxygen-deficient habitat found at the Angola–Benguela Frontal Zone of the southeastern Atlantic. With a series of incubation experiments with ¹⁵N-labelled nitrate as a tracer in combination with membrane-inlet mass spectrometry, we studied the potential contribution of L. bicuspidatus to nitrate reduction in the upper sediment layer. Our preliminary results suggest that L. bicuspidatus enhances nitrate reduction if the oxygen concentration is sufficiently low. The Lembulus-mediated nitrate reduction rate is then similar to the rate of microbial nitrate reduction in the surrounding sediment.  相似文献   

Extracting drainage networks and their connectivity using LiDAR data          下载免费PDF全文

Jennifer Roelens  Ine Rosier  Stefaan Dondeyne  Jos Van Orshoven  Jan Diels 《水文研究》2018,32(8):1026-1037

Policies, measures, and models geared towards flood prevention and managing surface waters benefit from high quality data on the presence and characteristics of drainage ditches. As a cost and labour effective alternative for acquiring such data through field surveys, we propose a method (a) to extract vector data representing ditch drainage networks based on local morphologic features derived from high resolution digital elevation models (DEM) and (b) to identify possible connections in the ditch network by calculating a probability of the connectivity using a logistic regression where the predictor variables are characteristics of the ditch centre lines or derived from the DEM. Using Light Detection and Ranging (LiDAR) derived DEMs with a 1 m resolution, the method was developed and tested for a mixed agricultural residential area in north‐eastern Belgium. The derived ditch segments had an error of omission of 8% and an error of commission of 5%. The original positional accuracy of the centre lines of the extracted ditches was 0.6 m and could be improved to 0.4 m by shifting each vertex to the position of the lowest LiDAR point located within a radius equal to the spatial resolution of the used DEM. About 69% of the false disconnections in the network were identified and corrected leading to a reduction of the unconnected parts of the ditch network by 71%. The extracted and connected network approximated the reference ditch network fairly well.  相似文献   

Modelling the effect of changing precipitation inputs on deep soil water utilization          下载免费PDF全文

Ji Qi  Daniel Markewitz  David Radcliffe 《水文研究》2018,32(5):672-686

Forests in the Southeastern United States are predicted to experience future changes in seasonal patterns of precipitation inputs as well as more variable precipitation events. These climate change‐induced alterations could increase drought and lower soil water availability. Drought could alter rooting patterns and increase the importance of deep roots that access subsurface water resources. To address plant response to drought in both deep rooting and soil water utilization as well as soil drainage, we utilize a throughfall reduction experiment in a loblolly pine plantation of the Southeastern United States to calibrate and validate a hydrological model. The model was accurately calibrated against field measured soil moisture data under ambient rainfall and validated using 30% throughfall reduction data. Using this model, we then tested these scenarios: (a) evenly reduced precipitation; (b) less precipitation in summer, more in winter; (c) same total amount of precipitation with less frequent but heavier storms; and (d) shallower rooting depth under the above 3 scenarios. When less precipitation was received, drainage decreased proportionally much faster than evapotranspiration implying plants will acquire water first to the detriment of drainage. When precipitation was reduced by more than 30%, plants relied on stored soil water to satisfy evapotranspiration suggesting 30% may be a threshold that if sustained over the long term would deplete plant available soil water. Under the third scenario, evapotranspiration and drainage decreased, whereas surface run‐off increased. Changes in root biomass measured before and 4 years after the throughfall reduction experiment were not detected among treatments. Model simulations, however, indicated gains in evapotranspiration with deeper roots under evenly reduced precipitation and seasonal precipitation redistribution scenarios but not when precipitation frequency was adjusted. Deep soil and deep rooting can provide an important buffer capacity when precipitation alone cannot satisfy the evapotranspirational demand of forests. How this buffering capacity will persist in the face of changing precipitation inputs, however, will depend less on seasonal redistribution than on the magnitude of reductions and changes in rainfall frequency.  相似文献   

Compression reference of soil structure evaluation with reconstituted clays at different initial water contents     

Ling-Ling Zeng  Zhen-Shun Hong  Yu-Jun Cui  Martin D. Liu 《Marine Georesources & Geotechnology》2018,36(7):759-767

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