Physically-based distributed soil erosion and sediment yield model (DREAM) for simulating individual storm events

Abstract

A relatively simple process-oriented, physically-based distributed (PBD) hydrological model, the distributed runoff and erosion assessment model (DREAM), is described, and a validation study conducted in the semi-forested watershed of Pathri Rao, in the Garhwal Himalayas, India, is reported. DREAM takes account of watershed heterogeneity as reflected by land use, soil type, topography and rainfall, measured in the field or estimated through remote sensing, and generates estimates of runoff and sediment yield in spatial and temporal domains. The model is based on simultaneous solution of flow dynamics, based on kinematic wave theory, followed by solution of soil erosion dynamics. As the storm rainfall proceeds, the process of overland flow generation is dependent on the interception storage and infiltration rates. The components of the soil erosion model have been modified to provide better prediction of sediment flow rates and sediment yields. The validation study conducted to test the performance of the model in simulating soil erosion and sediment yield during different storm events monitored in the study watershed showed that the model outputs are satisfactory. Details of a sensitivity analysis, model calibration and the statistical evaluation of the results obtained are also presented and discussed. It is noteworthy that the distributed nature of the model combined with the use of geographical information system (GIS) techniques permits the computation and representation of the spatial distribution of sediment yield for simulated storm events, and a map of the spatial distribution of sediment yield for a simulated storm event is presented to highlight this capability.

Citation Ramsankaran, R., Kothyari, U.C., Ghosh, S.K., Malcherek, A., and Murugesan, K., 2013. Physically-based distributed soil erosion and sediment yield model (DREAM) for simulating individual storm events. Hydrological Sciences Journal, 58 (4), 872–891.     

Vertical distribution of bacteria and archaea in a CO2-rich meromictic lake: A case study of Lake Monoun

In order to assess the diversity and spatial distribution of bacterial and archaeal communities in a CO₂-rich and meromictic lake, samples were collected along the water column of Lake Monoun and analyzed using PCR-DGGE and quantitative analyses of the 16S rRNA gene. The retrieved sequences were affiliated to 6 bacterial phyla and two archaeal phyla which plausible environmental functions map with the physico-chemical parameters of the lake. Unclassified sequences were also detected. This suggests heterogeneity in community composition and existence of potential candidate divisions. For instance, amongst the bacterial sequences, 18.2% matched with methanotrophic bacteria of the order methylococcales and amongst the archaeal sequences, 16.6% matched with methanogenic species of the order methanomicrobiales. Hence, evidencing the existence of methane-related prokaryotes in the lake, a finding that would play a key role in our understanding of the methane puzzle of Lake Monoun. Other groups capable of a wide range of metal and nutrients transformations were also detected, as well as those of unknown functions. The layering of microbial communities also appeared to directly or indirectly depend on oxygen availability. DGGE and qPCR analyses both suggested a scarcity of archaea in the surface samples. Furthermore, qPCR revealed that bacteria were numerically more important than archaea in all the samples. The general distribution along the water column indicated that archaeal abundance increases with depth.     

太湖水体和沉积物细菌群落分布格局及其驱动因素

水体和沉积物是湖泊生态系统中迥异但又紧密相连的两类生境,栖息在这两类生境中的细菌在维持生态系统平衡和驱动元素循环中起着关键性作用。为了探究湖泊水体和沉积物细菌群落的分布格局,本文对太湖四个湖区水体和沉积物中细菌群落进行调查,基于高通量测序技术和统计分析手段,分析这两类生境中的细菌群落组成和多样性水平、分布特征及其驱动因素。结果表明:放线菌门(Actinobacteria)、变形菌门(Proteobacteria)和蓝细菌门(Cyanobacteria)是水体细菌群落中最主要的细菌门,而沉积物中Proteobacteria占据优势地位。在两类生境中,太湖西部区域细菌群落丰富度和独特性(LCBD)相对较高,各区域群落结构表现出显著性差异。对水体而言,电导率、pH值、PC1(重金属组成)和沉积物孔隙度是驱动细菌丰富度的重要因子,PC1、水温及pH值是影响细菌群落LCBD的重要因子,而细菌网络复杂性随pH值的增加而增加,且在高pH环境中占主导地位;对沉积物而言,其丰富度和LCBD的重要影响因子均是沉积物中总磷和锂,细菌网络复杂性随金属元素施加的环境压力增大而降低,但随总磷、磷酸盐和铵态氮浓度的...     

云南九大高原湖泊流域人类活动强度对水质的多尺度影响

人类活动强度的空间异质性是理解区域人地关系和生态环境效应的基础。基于云南九大高原湖泊流域2020年土地利用数据,构建不同景观类型的人类影响强度系数,运用GIS空间分析量化流域人类活动强度与空间分异,探讨人类活动强度对水质的影响。结果表明:人类活动强度总体特征由高到低依次是杞麓湖(4.83)、星云湖(4.71)、滇池(4.19)、阳宗海(4.11)、抚仙湖(4.03)、异龙湖(4.01)、程海(3.93)、洱海(3.88)和泸沽湖(2.96)。人类活动强度指数(HAI)在流域尺度、坝区尺度、湖岸尺度的空间分异特征明显,每个流域都受到高强度人类活动影响,最大值出现在坝区,滇池、杞麓湖岸线存在完全开发的区域。人类活动强度随海拔和坡度增高而下降,高强度区集中在地势低平的湖泊周围。湖泊营养状态指数与流域尺度和坝区尺度高强度区呈显著正相关,这些区域应作为景观优化和管理的重点;与岸线尺度低强度区呈显著负相关,有必要减少湖滨带人类活动。综合考虑流域地形地貌-人类活动强度-水质的级联效应,应从不同空间尺度对各景观要素与过程管控。鉴于人类活动强度对水质的影响,可把湖泊管理分为预防型、保护型、治理型。     

Influences of climate,terrain and land cover on stream salinity in southeastern Australia,and implications for management through reforestation

Reforestation of cleared land has the potential to reduce groundwater recharge, salt mobilization and streamflow. Stream salinity change is the net result of changes in stream salt load and streamflow. The net effect of these changes varies spatially as a function of climate, terrain and land cover. Successful natural resource management requires methods to map the spatial variability of reforestation impacts. We investigated salinity data from 2000 bores and streamflow and salinity measurements from 27 catchments in the Goulburn–Broken region in southeast Australia to assess the main factors determining stream salinity and opportunities for management through reforestation. For groundwater systems of similar geology, relationships were found between average annual rainfall and groundwater salinity and between groundwater salinity and low‐flow salinity. Despite its simplicity, we found that the steady‐state component of a simple conceptual coupled water–salt mass balance model (BC2C) adequately explained the spatial variation in streamflow and salinity. The model results suggest the efficiency of afforestation to reduce stream salinity could be increased by more than an order of magnitude through spatial planning. However, appreciable reductions in stream salinity in large rivers through land cover change alone would still require reforestation on an unprecedented scale. Copyright © 2008 John Wiley & Sons, Ltd.     

Distributed empirical algorithms to estimate catchment scale sediment connectivity and yield in a subtropical region

The intensity of soil loss and sediment delivery, representing hydrologic and geomorphic processes within a catchment, accelerates with rapid changes in land cover and rainfall events. An underlying component of sustainable management of water resources is an understanding of spatial and temporal variability and the adverse influences of regional parameters involved in generating sediment following widespread changes in land cover. A calibrated algorithm of soil loss coupled with a sediment delivery ratio (SDR) was applied in raster data layers to improve the capability of a combined model to estimate annual variability in sediment yields related to changes in vegetation cover identified by analyses of SPOT imagery. Four catchments in Kangaroo River State forest were assessed for annual changes in sediment yields. Two catchments were selectively logged in 2007, while the two other sites remained undisturbed. Results of SDR estimates indicated that only a small proportion of total eroded sediment from hillslopes is transported to catchment outlets. Larger SDR values were estimated in regions close to catchment outlets, and the SDR reduced sharply on hillslopes further than 200–300 m from these areas. Estimated sediment yield increased by up to 30% two years after land cover change (logging) in 2009 when more storm events were recorded, despite the moderate density of vegetation cover in 2009 having almost recovered to its initial pre‐logging (2005) condition. Rainfall had the most significant influence on streamflow and sediment delivery in all catchments, with steeply sloping areas contributing large amounts of sediment during moderate and high rainfall years in 2007 and 2009. It is concluded that the current scenario of single‐tree selection logging utilized in the study area is an acceptable and environmentally sound land management strategy for preservation of soil and water resources. Copyright © 2013 John Wiley & Sons, Ltd.     

Estimation of soil erosion and sediment yield using GIS

Abstract

A Geographical Information System (GIS) based method is proposed and demonstrated for the identification of sediment source areas and the prediction of storm sediment yield from catchments. Data from the Nagwa and Karso catchments in Bihar (India) have been used. The Integrated Land and Water Information System (ILWIS) GIS package has been used for carrying out geographic analyses. An Earth Resources Data Analysis System (ERDAS) Imagine image processor has been used for the digital analysis of satellite data for deriving the land cover and soil characteristics of the catchments. The catchments were discretized into hydrologically homogeneous grid cells to capture the catchment heterogeneity. The cells thus formed were then differentiated into cells of overland flow regions and cells of channel flow regions based on the magnitude of their flow accumulation areas. The gross soil erosion in each cell was calculated using the Universal Soil Loss Equation (USLE) by carefully determining its various parameters. The concept of sediment delivery ratio (SDR) was used for determination of the total sediment yield of each catchment during isolated storm events.     

南四湖消落带底泥磷形态分布特征、影响因素及释放风险

南四湖是南水北调东线最大的调蓄湖泊,周期性水位涨落会形成大面积消落带,认知消落带底泥磷形态赋存特征、影响因素及释放潜能,对于保障东线调水水质具有重要的科学意义.本研究分析了南四湖消落带底泥磷形态分布特征,探讨了各形态磷与土地利用、母质类型及底泥理化因素之间的关系,评价了南四湖消落带底泥磷的污染程度并分析了其释放风险.结果发现,消落带底泥中总磷（TP）、无机磷（IP）、NaOH提取态磷（NaOH-P）、HCl提取态磷（HCl-P）和有机磷（OP）含量的平均值分别为745.37、510.51、50.42、460.09和234.86 mg/kg,以HCl-P为主的IP占比较高.南四湖消落带底泥各形态磷含量具有较高的空间异质性,TP、IP、OP、HCl-P和NaOH-P含量的变异系数分别为30.7%、36.9%、29.6%、37.6%和51.2%.自然湿地、乔木林地和水浇地等土地利用方式下的底泥NaOH-P、HCl-P、IP、OP和TP含量差异不显著.土壤类型对消落带底泥OP含量影响明显,但对TP、IP、NaOH-P和HCl-P含量则影响不大.NaOH-P含量与HCl-P含量具有显著正相关,与OP含量则具有极显著正相关.南四湖周边30多km²消落带底泥磷污染程度相对较高,轻度、中度和重度污染底泥分别占5.9%、76.5%和17.6%,部分区域底泥磷释放潜能较高.研究结果可为南四湖消落带内源磷释放控制以及水质保障提供科技支撑.     

新疆艾比湖湿地土壤水盐空间变异性分析

为揭示艾比湖湿地土壤退化程度空间分布特征,在离艾比湖湖滨5~15 km,绕湖一周160 km范围内,以湖心质点为中心,将艾比湖划分为东北、东南、西南、西北4个区域,采用传统统计学和地统计学相结合的方法对表层(0~20 cm)土壤盐分、含水量与p H的空间分异特征进行研究.结果表明:绕湖一周不同区域的土壤盐分均属中等变异强度;土壤含水量在西北部属强变异性,而东北、东南和西南部均属中等变异强度;土壤p H在不同区域内均属弱变异强度.绕湖一周除西北部土壤盐分的半方差理论模型较符合球状模型外,其它区域土壤盐分、含水量和p H均符合高斯模型;受结构性因素影响,不同区域土壤盐分、含水量和p H均具有较强的空间相关性;西南部土壤盐分、含水量和p H的Moran's I系数比其它区域的波动大,表明空间相关性较强.艾比湖湿地常年大风、干旱、缺水及沙化盐化的自然因素与引水围堰、种植耐盐碱植物的人为活动造成了采样区表层土壤盐分、含水量和p H的空间分布多呈现不规则条带状格局.艾比湖湿地土壤以盐土为主,重度盐化土次之,土壤盐渍化日益严重.     

Benthic community response to habitat variation: A case of study from a natural protected area,the Celestun coastal lagoon

Little information currently exists on spatial and temporal benthic community variations in tropical coastal lagoons. Here, the benthic community response to habitat variation in the Celestun coastal lagoon, northwest Yucatan peninsula, was seasonally examined during the 1994–1995 climatic cycle into a grid of 12 sampling sites distributed along the salinity gradient of the lagoon. Habitat variation was assessed through physical factors associated both to the water column (e.g. salinity) and the bottom sediment (e.g. sand, silt and clay fractions). The benthic community response was assessed through species diversity measures and abundance. Under the influence of climatic seasonality, variations in habitat conditions followed by changes in the benthic community characteristics were expected. Results from two-way ANOVAs showed that for the period of study, Celestun lagoon was more heterogeneous along the spatial axis of variability than along the temporal one. Multiple regression analysis showed that salinity was spatially the main factor influencing the benthic community characteristics. Temporally, the sediment characteristics were observed to exert significant effects on the species diversity characteristics but not on abundance. Other variables assessed (dissolved oxygen, pH, temperature and water column transparency) exhibited no significant covariance with species diversity and abundance. Since generated from historical data, these results have the potential to be useful as a benchmark to the establishment of monitoring programs in the light of the increasing anthropogenic pressure on the natural resources of the lagoon and surrounding coastal area.     

Holocene salinity fluctuations of the East Korean lagoon related to sea level and precipitation changes

Detailed diatom records within core sediments from Maeho Lagoon along the Eastern coast of South Korea revealed that the ecological dynamics of the lagoon during the Holocene were associated with relative sea level and regional precipitation. Accelerator mass spectrometry (AMS) ¹⁴C dating indicates that sediment accumulation began prior to 8300 cal. year BP, and that the lagoon formed around 8000 cal. year BP. The salinity level of the lagoon increased until 5000 cal. year BP, and then decreased. Long‐term trends in salinity were dependent upon changes in sea level: periods of high salinity in the lagoon were generally coincident with periods of high sea levels along the east coasts of Korea and Japan. On the other hand, multicentennial‐scale fluctuations in diatom assemblages and magnetic susceptibility (MS) suggest that a 400 year fluctuation in salinity was regulated by changes in precipitation in the area of this lagoon. Changes in the westerly jet stream, controlled by variation in solar irradiance, had an important influence on precipitation volume in South Korea, suggesting that the patterns of the westerly jet stream fluctuate on a 400 year cycle.     

Sensitivity of runoff and soil erosion to climate change in two Mediterranean watersheds. Part II: assessing impacts from changes in storm rainfall,soil moisture and vegetation cover

The impacts of climate change on storm runoff and erosion in Mediterranean watersheds are difficult to assess due to the expected increase in storm frequency coupled with a decrease in total rainfall and soil moisture, added to positive or negative changes to different types of vegetation cover. This report, the second part of a two‐part article, addresses this issue by analysing the sensitivity of runoff and erosion to incremental degrees of change (from ? 20 to + 20%) to storm rainfall, pre‐storm soil moisture, and vegetation cover, in two Mediterranean watersheds, using the MEFIDIS model. The main results point to the high sensitivity of storm runoff and peak runoff rates to changes in storm rainfall (2·2% per 1% change) and, to a lesser degree, to soil water content (?1·2% per 1% change). Catchment sediment yield shows a greater sensitivity than within‐watershed erosion rates to both parameters: 7·8 versus 4·0% per 1% change for storm rainfall, and ? 4·9 versus ? 2·3% per 1% change for soil water content, indicating an increase in sensitivity with spatial scale due to changes to sediment connectivity within the catchment. Runoff and erosion showed a relatively low sensitivity to changes in vegetation cover. Finally, the shallow soils in one of the catchments led to a greater sensitivity to changes in storm rainfall and soil moisture. Overall, the results indicate that decreasing soil moisture levels caused by climate change could be sufficient to offset the impact of greater storm intensity in Mediterranean watersheds. Copyright © 2009 John Wiley & Sons, Ltd.     

洞庭湖和鄱阳湖水体细菌空间分布特征及驱动机制

为了探讨洞庭湖和鄱阳湖水体细菌的群落组成、空间分布特征及其驱动机制,于2017年9月,采用高通量测序技术、基于16S rRNA分子标记进行单分子测序,分别对两湖共57个位点的水体细菌群落组成进行了研究,同步监测了水体的理化指标。结果表明：洞庭湖和鄱阳湖共发现水体细菌20门42纲93目191科533属,在门水平上,洞庭湖和鄱阳湖的水体细菌组成均以放线菌门、蓝细菌门和变形菌门为主;主成分分析结果表明,两湖水环境条件有显著性差异,鄱阳湖的空间差异性大于洞庭湖;Mantel分析表明显著影响蓝细菌类群和其他类群组成的因素较为一致,在洞庭湖以物理环境因子和营养盐因子为主,而鄱阳湖以物理环境因子为主;零模型分析结果显示随机性过程为两湖水体细菌的群落构建机制的主要成分,占比分别为58.8%和79.7%。总体来说,鄱阳湖水环境空间异质性更高,水体细菌受到一些水文水动力学因子介导的物理环境因子影响,且其群落构建机制由随机性过程主导;洞庭湖水环境空间异质性较低,水体细菌受到物理环境因子和营养盐因子的共同影响,其群落构建机制由随机性过程和确定性过程共同决定。认识两湖水体细菌在空间上的分布及影响因素差异,对两湖...     

Benthic foraminifera from two coastal lakes of southern Latium (Italy). Preliminary evaluation of environmental quality

Benthic foraminifera and sediment texture were studied on a total of 37 samples, collected from two brackish-water coastal basins: Fogliano Lake and Lungo Lake (central Italy). The research was performed as a preliminary low-cost survey to highlight the degree of the environmental stress and to recognize a possible anthropogenic disturbance. The sedimentological and foraminiferal data were processed by bivariate and multivariate statistical analysis. Three distinct assemblages, referable to different environments were recognized for the Fogliano Lake: inner, intermediate and outer lagoon. Only the outer lagoon assemblage was found in the Lungo Lake. The distribution of foraminifera in the Fogliano Lake suggests a natural environmental stress probably due to the ecological instability typical of marginal environments, while the absence of the inner and intermediate lagoon assemblages in the Lungo Lake suggests an environmental disturbance possibly related to human activities. An interdisciplinary survey including geochemical analyses is recommended in order to deduce the nature and degree of pollution in the Lungo Lake.     

Impact of lateral flow and spatial scaling on the simulation of semi‐arid urban land surfaces in an integrated hydrologic and land surface model

Understanding and representing hydrologic fluxes in the urban environment is challenging because of fine scale land cover heterogeneity and lack of coherent scaling relationships. Here, the impact of urban land cover heterogeneity, scale, and configuration on the hydrologic and surface energy budget (SEB) is assessed using an integrated, coupled land surface/hydrologic model at high spatial resolutions. Archetypes of urban land cover are simulated at varying resolutions using both the National Land Cover Database (NLCD; 30 m) and an ultra high‐resolution land cover dataset (0.6 m). The analysis shows that the impact of highly organized, yet heterogeneous, land cover typical of the urban domain can cause large variations in hydrologic and energy fluxes within areas of similar land cover. The lateral flow processes that occur within each simulation create variations in overland flow of up to ±200% and ±4% in evapotranspiration. The impact on the SEB is smaller and largely restricted to the wet season for our semi‐arid forcing scenarios. Finally, we find that this seasonal bias, predominantly caused by lateral flow, is displaced by a systematic diurnal bias at coarser resolutions caused by deficiencies in the method used for scaling of land surface and hydrologic parameters. As a result of this research, we have produced land surface parameters for the widely used NLCD urban land cover types. This work illustrates the impact of processes that remain unrepresented in traditional high‐resolutions land surface models and how they may affect results and uncertainty in modeling of local water resources and climate. Copyright © 2015 John Wiley & Sons, Ltd.     

Bed diversity in the shallow water environment of Pappas lagoon in Greece

<正>Acoustic classification systems and the Sediment Trend Analysis method were used to identify and map the bed diversity in a very shallow(3.0m),coastal lagoon,Pappas lagoon,Western Greece. Analogue acoustic data,collected by means of a 100 kHz side scan sonar system,were digitized and classified into six acoustic classes using recently developed acoustic classification systems (SonarClass,TargAn).By comparing the acoustic classes to ground truth data consisting of sediment grain size and visual inspection of the lagoon-bed,it is demonstrated that the six acoustic classes correlate well with the predominant surface sediment types and vegetation.Thus the spatial distribution of the classes can be considered to represent the spatial pattern of the sedimentary assemblages of the lagoon.The grain size trend analysis identified three dominant sediment pathways and directional trends which could be related to the predominant wind direction,the sediment influx through the inlets and the sediment supply from a small stream in the southern part of the lagoon.The integration of acoustic and sedimentological data together with advanced data processing systems leads to a better understanding of the sedimentary,morphological and biological processes in a shallow lagoon in different spatial and temporal scales and will therefore be beneficial to both sedimentological and biotic-diversity studies.     

鲂胚胎的发育

太湖湖区暴雨径流携带有大量的泥沙和土壤有机物质,对河湖水质造成污染,为了定量分析有机污染对太湖水体的影响,分水田和旱地两种土地利用条件,采用数学模型模拟了湖区丰。平,枯典型年的产流,土壤侵蚀和有机物流失过程及年总量。结果表明,湖区土壤侵蚀量和有机物流失量随地表排水强度的增加呈指数形式增大,尤其是每年暴雨期,湖区地表排水中有机物含量显著增大,建议在太湖流域水质规划和治理中加以重视并采取必要防治措施。     

Ability of soil bacterial composition as an indicator of levels of soil erosion in a badland

Calanchi(plural of calanco) are typical Italian badlands created by a combination of morphogenetic processes(rill and interrill erosion, gullying, piping, and mass movements) mainly originated by the effect of water. Calanchi are characterized by the sparse and patchy distribution of vegetation, and, in interplant areas, the soil surface is colonized by an association of organisms known as biological soil crust(BSC). A morphometric analysis of 45 basins in the studied calanchi area, based on a h...     

A landscape shape index-based sampling approach for land cover accuracy assessment

Spatial sampling design is one of the key steps in land cover accuracy assessment, and many traditional sampling approaches may not achieve credible spatial sampling due to the high spatial heterogeneity of land cover. This paper characterizes the spatial heterogeneity with three-level LSIs and determines the subsequent sample sizes and their spatial distributions. The three-level LSIs are rLSI in a region, cLSI for each land cover class and uLSI in each geographic sampling unit in the region. The rLSIs are used to derive appropriate sample sizes in the target regions. The cLSIs are used to assure that larger sample numbers are allocated to land cover classes with higher spatial heterogeneity. The uLSIs provide useful measures for selecting optimal geographic units in which sample sites will be located. This LSI-based sampling approach can derive the sample sizes and determine their distributions in an adaptive way according to the spatial heterogeneity. An experimental case study further demonstrates that the LSI-based sampling approach obtains more appropriate sample sizes for each region, sufficient sample numbers for rare classes, and optimal sample distributions in the geographical space.