Effects of historical and projected land use/cover change on runoff and sediment yield in the Netravati river basin,Western Ghats,India

In this study, the effects of changes in historical and projected land use land cover (LULC) on monthly streamflow and sediment yield for the Netravati river basin in the Western Ghats of India are explored using land use maps from six time periods (1972, 1979, 1991, 2000, 2012, and 2030) and the soil and water assessment tool (SWAT). The LULC for 2030 is projected using the land change modeller with the assumption of normal growth. The sensitivity analysis, model calibration, and validation indicated that the SWAT model could reasonably simulate streamflow and sediment yield in the river basin. The results showed that the spatial extent of the LULC classes of urban (1.80–9.96%), agriculture (31.38–55.75%), and water bodies (1.48–2.66%) increased, whereas that of forest (53.04–27.03%), grassland (11.17–4.41%), and bare land (1.09–0.16%) decreased from 1972 to 2030. The streamflow increased steadily (7.88%) with changes in LULC, whereas the average annual sediment yield decreased (0.028%) between 1972 and 1991 and increased later (0.029%) until 2012. However, it may increase by 0.43% from 2012 to 2030. The results indicate that LULC changes in urbanization and agricultural intensification have contributed to the increase in runoff, amounting to 428.65 and 58.67 mm, respectively, and sediment yield, amounting to 348 and 43 ton/km², respectively, in the catchment area from 1972 to 2030. The proposed methodology can be applied to other river basins for which temporal digital LULC maps are available for better water resource management plans.     

Future climate change impact evaluation on hydrologic processes in the Bharalu and Basistha basins using SWAT model

Urbanisation and climate change can have adverse effects on the streamflow and water balance components in river basins. This study focuses on the understanding of different hydrologic responses to climate change between urban and rural basins. The comprehensive semi-distributed hydrologic model, SWAT (Soil and Water Assessment Tool), is used to evaluate how the streamflow and water balance components vary under future climate change on Bharalu (urban basin) and Basistha (rural basin) River basins near the Brahmaputra River in India based on precipitation, temperature and geospatial data. Based on data collected in 1990–2012, it is found that 98.78% of the water yield generated for the urban Bharalu River basin is by surface runoff, comparing to 75% of that for the rural Basistha basin. Comparison of various hydrologic processes (e.g. precipitation, discharge, water yield, surface runoff, actual evapotranspiration and potential evapotranspiration) based on predicted climate change scenarios is evaluated. The urban Bharalu basin shows a decrease in streamflow, water yield, surface runoff, actual evapotranspiration in contrast to the rural Basistha basin, for the 2050s and 2090s decades. The average annual discharge will increase a maximum 1.43 and 2.20 m³/s from the base period for representative concentration pathways (RCPs) such as 2.6 and 8.5 pathways in Basistha River and it will decrease a maximum 0.67 and 0.46 m³/s for Bharalu River, respectively. This paper also discusses the influence of sensitive parameters on hydrologic processes, future issues and challenges in the rural and urban basins.     

不同耕地类型对流域水沙过程的影响研究

常用的水土保持措施是退耕还林,但淮河流域是中国重要的农业产区,大规模实行退耕还林并不现实,所以通过调整耕地类型来减少水土流失可能是解决社会经济发展和生态保护矛盾的好方法。为研究不同耕地类型对流域水文要素及产沙的影响,考虑水田和旱地两种耕地类型对淮河息县水文站上游流域构建SWAT模型,构造A(实际耕地利用方式)、B(所有耕地为水田)和C(所有耕地为旱地)三种耕地类型情景,比较不同耕地类型情景下流域水文要素及产沙的变化情况。研究结果表明:所构建的SWAT模型在息县流域径流及泥沙模拟中具有良好的适用性,R2和NSE(Nash Sutcliffe Efficiency)均达到0.75以上;水田和旱地两种不同耕地类型对流域多年年均蒸散发及多年平均径流量影响较小,但对流域产沙量影响较大,在汛期更为明显,模拟期内每平方公里水田每年最多比旱地少产沙491.8t,平均每年少产沙约208.7t。采取水田耕种比旱地耕种更有利于减少息县流域内的水土流失。     

Use of SWAT to determine the effects of climate and land use changes on streamflow and sediment concentration in the Purna River basin,India

A semi-distributed, physically based, basin-scale Soil and Water Assessment Tool (SWAT) model was developed to determine the key factors that influence streamflow and sediment concentration in Purna river basin in India and to determine the potential impacts of future climate and land use changes on these factors. A SWAT domain with a Geographical Information System (GIS) was utilized for simulating and determining monthly streamflow and sediment concentration for the period 1980–2005 with a calibration period of 1980–1994 and validation period of 1995 to 2005. Additionally, a sequential uncertainty fitting (SUFI-2) method within SWAT-CUP was used for calibration and validation purpose. The overall performance of the SWAT model was assessed using the coefficient of determination (R²) and Nash–Sutcliffe efficiency parameter (E_NS) for both calibration and validation. For the calibration period, the R² and E_NS values were determined to be 0.91 and 0.91, respectively. For the validation period, the R² and E_NS were determined to be 0.83 and 0.82, respectively. The model performed equally well with observed sediment data in the basin, with the R² and E_NS determined to be 0.80 and 0.75 for the calibration period and 0.75 and 0.65 for the validation, respectively. The projected precipitation and temperature show an increasing trend compared to the baseline condition. The study indicates that SWAT is capable of simulating long-term hydrological processes in the Purna river basin.     

辽河大伙房水库汇水区农业非点源污染入库模拟

利用输出系数法和SWAT模型,对大伙房水库汇水区农业非点源污染(ANSP)进行了入库模拟研究,并用2006—2009年的水文和水质监测数据对模型进行了校准和验证。研究结果表明:汇水区年均输入到水库的泥沙量、总氮和总磷负荷分别为82.65×103 t、1 873.49t和81.97t;月入库泥沙量、总氮和总磷负荷与径流量有着较强的相关性,ANSP的产生和迁移受降水、径流过程影响很大,每年7、8月份的氮、磷和泥沙流失量达到年内最大值,分别占全年流失总量的42.64%、44.42%和67.91%。水库汇水区各流域对水库氮、磷污染的贡献率由大到小依次为:浑河流域(清原段)、苏子河流域、社河流域和水库周边小流域。     

东江三大水库联合调度下惠州河段水温变化响应研究

以东江流域控制站点博罗站为代表,通过构建一维水流水温模型,计算分析了东江三大水库不同出库流量对下游惠州河段水温的影响,探讨了该地区基于水温的鱼类生态调度目标,提出了东江三大水库3月份的水库联合生态调度方案.研究结果表明,在东江三大水库出库流量比例不变的情况下,博罗站3月份水温随着流量的增大而增大,但变化并不明显;在博罗站流量不变的情况下,东江三大水库出库流量的变化对博罗站水温有较大的影响,其中以白盆珠水库的影响最为显著.结合前人的研究成果认为,在博罗站流量320m3/s的情况下,保持白盆珠水库3月份最小出库流量为30m3/s,有利于东江下游惠州河段的生态条件改善.     

Integrative assessment of hydrological, ecological, and economic systems for water resources management at river basin scale

This study presents a basin-scale integrative hydrological, ecological, and economic (HEE) modeling system, aimed at evaluating the impact of resources management, especially agricultural water resources management, on the sustainability of regional water resources. The hydrological model in the modeling system was adapted from SWAT, the Soil and Water Assessment Tool, to simulate the water balance in terms of soil moisture, evapotranspiration, and streamflow. An ecological model was integrated into the hydrological model to compute the ecosystem production of biomass production and yield for different land use types. The economic model estimated the monetary values of crop production and water productivity over irrigated areas. The modeling system was primarily integrated and run on a Windows platform and was able to produce simulation results at daily time steps with a spatial resolution of hydrological response unit (HRU). The modeling system was then calibrated over the period from 1983 to 1991 for the upper and middle parts of the Yellow River basin, China. Calibration results showed that the efficiencies of the modeling system in simulating monthly streamflow over 5 hydrological stations were from 0.54 to 0.68 with an average of 0.64, indicating an acceptable calibration. Preliminary simulation results from 1986 to 1995 revealed that water use in the study region has largely reduced the streamflow in many parts of the area except for that in the riverhead. Spatial distribution of biomass production, and crop yield showed a strong impact of irrigation on agricultural production. Water productivity over irrigated cropland ranged from 1 to 1640 USD/(ha·mm⁻¹), indicating a wide variation of the production conditions within the study region and a great potential in promoting water use efficiency in low water productivity areas. Generally, simulation results from this study indicated that the modeling system was capable of tracking the temporal and spatial variability of pertinent water balance variables, ecosystem dynamics, and regional economy, and provided a useful simulation tool in evaluating long-term water resources management strategies in a basin scale.     

Impact of water demand on hydrological regime under climate and LULC change scenarios

The present study focuses on an assessment of the impact of future water demand on the hydrological regime under land use/land cover (LULC) and climate change scenarios. The impact has been quantified in terms of streamflow and groundwater recharge in the Gandherswari River basin, West Bengal, India. dynamic conversion of land use and its effects (Dyna-CLUE) and statistical downscaling model (SDSM) are used for quantifying the future LULC and climate change scenarios, respectively. Physical-based semi-distributed model Soil and Water Assessment Tool (SWAT) is used for estimating future streamflow and spatiotemporally distributed groundwater recharge. Model calibration and validation have been performed using discharge data (1990–2016). The impacts of LULC and climate change on hydrological variables are evaluated with three scenarios (for the years 2030, 2050 and 2080). Temperature Vegetation Dyrness Index (TVDI) and evapotranspiration (ET) are considered for estimation of water-deficit conditions in the river basin. Exceedance probability and recurrence interval representation are considered for uncertainty analysis. The results show increased discharge in case of monsoon season and decreased discharge in case of the non-monsoon season for the years 2030 and 2050. However, a reverse trend is obtained for the year 2080. The overall increase in groundwater recharge is visible for all the years. This analysis provides valuable information for the irrigation water management framework.     

Streamflow modeling in a fluctuant climate using SWAT: Yass River catchment in south eastern Australia

Hydrological models play vital roles in understanding and management of surface water resources. The physically based distributed model Soil and Water Assessment Tool (SWAT) was applied to a small catchment in south eastern Australia to determine its ability to mimic low and high streamflows. The model was successfully calibrated using 1993–2002 streamflow data and validated using 2003–2011 data with a combination of manual and auto-calibration techniques for both monthly and daily time steps. Sensitivity analysis indicated that curve number for moisture condition II (CN2) is the most sensitive parameter for both time steps. In general, the model performance statistics indicated “very good” agreement between measured and simulated discharges for both calibration and validation periods. The model was able to satisfactorily simulate both low and high flows of the Yass River. Analysis of water balance components indicated that more than 90 % of the rainfall is lost as evapotranspiration and about 45 % of the streamflow is base flow. The calibrated and validated SWAT model can be used to analyze the effect of climate and land use changes on catchment wide hydrologic process.     

Control of the variability of nutrients and suspended sediments in a gulf coast estuary by climatic forcing and spring discharge of the Atchafalaya River

Water column nutrients (nitrate, ammonium, soluble reactive phosphate, total Kjeldahl nitrogen, and total phosphorus) and suspended sediments (SS) were measured during one 44-h and two 28-h periods in March 1982 at two stations in Fourleague Bay, Louisiana, which is located at the mouth of the Atchafalaya River, a distributary of the Mississippi River. River water (a source of nitrate, total Kjeldahl nitrogen, total phosphorus, and suspended sediments to Fourleague Bay) flows into the upper reaches of the bay during high tide and frontal overrunning conditions with northerly and westerly winds. During one sampling period, decreasing wind speed and the rising tide resulted in Atchafalaya River water inundating the bay and nitrate concentrations in the upper bay increasing from 30–70 μM to 90–118 μM. Significant variations in nutrients associated with the movement of water masses from the river, marshes, and Gulf of Mexico occurred over several different time scales. Tidal transport occurred over 25-h periods, while frontal passages occurred at 3-d to 5-d intervals. Variability in nutrient and suspended sediment concentrations over these relatively short time scales can be as great as seasonal variability in the bay.     

Sediment yield assessment and identification of check dam sites for Rawal Dam catchment

Sediment yield is the amount of erosional debris from drainage basin deposited in reservoirs. The economic life of storage reservoir depends upon the estimation of the time it takes for the reservoir to be filled with the deposition of sediments. This research is based on assessing the sediment yield in Rawal Dam catchment by using Soil and Water Assessment Tool (SWAT) model. Digital Elevation Model (DEM), land use maps, soil maps, and weather data of the study watershed were used as input to SWAT model. Monthly sedimentation data of year 2010 and discharge data from 1998 to 2005 is being used for model calibration and validation, respectively. Whereas simulations are being generated from 1998 to 2011 for both sedimentation and discharge. Modified Universal Soil Loss Equation (MUSLE) was used for the estimation of sediment yield. The Nash and Sutcliffe coefficient of the model was found to be 0.79 which depicts its effectiveness. After the estimation of the sediment yield and discharge by using SWAT model, double mass curve was used to evaluate the sedimentation rate. The rate of sediment transport can be reduced by the construction of check dams. Various sites have also been proposed for check dams construction to prevent the sediments transported into the Rawal Catchment.     

SWAT模型在东江流域的应用研究

以SWAT模型为研究工具,对该模型在东江流域的3个子流域的适用性进行研究,研究表明,SWAT模型在东江流域3个子流域的适用性较好,校准期（19701975年）日径流模拟和月径流模拟的相对误差Re均在10%以内,日径流模拟的决定系数R2均在70%以上,月径流模拟的决定系数R2均在80%以上,Nash-Suttcliffe效率系数基本达到70%;验证期（19761985年及19962005年）,月径流模拟的决定系数R2和Nash-Suttcliffe效率系数均在70%以上,相对误差Re基本在±20%以内,可以满足该流域的水资源评价与规划的要求。     

The influences of land-use changes on the absorbed nitrogen and phosphorus loadings in the drainage basin of Lake Chaohu,China

The influences of land-use changes on the absorbed nitrogen and phosphorus loadings in the drainage basin of Lake Chaohu were investigated in this study. Based on the principle of universal soil loss equation, a model was developed for estimating the annual mean soil erosion amount from 1989 to 2008 in Chaohu basin. Applying the GIS and soil data, the absorbed nitrogen and phosphorus loadings were stimulated and quantified for three-time stage (1989–1995, 1996–2000, 2001–2008). Furthermore, the influences of historical land-use changes on the absorbed nitrogen and phosphorus loadings were assessed. The results indicated that the absorbed nitrogen and phosphorus loadings of drainage basin have an obvious spatial difference in the three-time stage because of the different characteristics of climate and geology. Temporally, the absorbed nitrogen and phosphorus loadings in the second stage (1996–2000) are less than the one in the first (1989–1995) and third stage (2001–2008), and the load of third stage is the largest, which was mainly impacted by rainfall and land-use change. Forest and grass can act as a source for the load of absorbed nitrogen or absorbed phosphorus. The paddy land and residential land in these areas act as sinks or transformation zones as expected. Other factors such as slope and geology also play important roles in the transport of nutrients and sediments to streams.     

东江径流年内分配特征及影响因素贡献分解

基于1956~2009年实测径流、天然径流和面降水的月系列,选用集中度和不均匀系数,分析东江径流年内分配特征的时空变异规律。通过对比降水和径流年内分配特征指标的阶段变化差异,量化分解气候变化、土地利用/覆被变化、水利工程水量调节和用水消耗等主要因素对东江径流年内分配特征变化的影响贡献。结果表明:东江实测径流的集中度和不均匀系数年变化过程均有显著下降趋势,且1973年为时序变点。降水及天然径流的年内集中程度阶段变化较小,但2000~2009年降水及天然径流的年内不均匀性要明显大于20世纪80年代和90年代。降水及天然径流的年内集中度和不均匀系数由上游向下游逐渐增大,显示集水面积越大降水及径流的年内集中程度和不均匀性越大。水利工程水量调节和土地利用/覆被变化降低了径流的年内集中程度和不均匀性,而用水消耗和气候变化增加了径流的年内集中程度和不均匀性。水利工程水量调节、土地利用/覆被变化、用水消耗和气候变化,对东江径流分配特征的影响贡献率分别约为-33.5%、-9.0%、4.5%和1.0%,新丰江水库、枫树坝水库和白盆珠水库的影响贡献率分别约为-21%、-10%和-2%,且近30年来土地利用/覆被变化和用水消耗的影响贡献有逐渐增加趋势。     

Evaluation of the SWAT model for water balance study of a mountainous snowfed river basin of Nepal

In this study, a semi-distributed hydrologic model Soil and Water Assessment Tool (SWAT) has been employed for the Karnali River basin, Nepal to test its applicability for hydrological simulation. Further, model was evaluated to carry out the water balance study of the basin and to determine the snowmelt contribution in the river flow. Snowmelt Runoff Model (SRM) was also used to compare the snowmelt runoff simulated from the SWAT model. The statistical results show that performance of the SWAT model in the Karnali River basin is quite good (p-factor = 0.88 and 0.88, for daily calibration and validation, respectively; r-factor = 0.76 and 0.71, for daily calibration and validation, respectively). Baseflow alpha factor (ALPHA_BF) was found most sensitive parameter for the flow simulation. The study revealed that the average annual runoff volume available at the basin outlet is about 47.16 billion cubic metre out of which about 12% of runoff volume is contributed by the snowmelt runoff. About 25% of annual precipitation seems to be lost as evapotranspiration. The results revealed that both the models, SWAT and SRM, can be efficiently applied in the mountainous river basins of Nepal for planning and management of water resources.     

变化环境下东江流域水文干旱特征及缺水响应

在干旱事件不确定性和枯期径流变异性的双重影响下,水文干旱特征时序非一致性问题为其联合分布模拟带来困难。基于东江干流测站日径流过程数据,采用游程理论提取水文干旱事件,并结合干旱特征均值变化、时序一致性分析及边缘分布模拟,以确定干旱事件融合及剔除评判标准的合理取值。基于Rosenblatt变换Cramer-von Mises检验统计量拟合方法,构建水文干旱特征两变量联合分布Copula模型,并根据同频法设计两变量组合值。通过对比枯期径流变点分隔子序列干旱特征,分析变化环境下东江流域水文干旱特征及缺水响应。结果表明:水文干旱事件融合和剔除的评判标准值分别取0.1和0.3比较合理。干旱特征两变量之间具有较高的正相关性,但不同时间系列不同变量之间的联合分布及边缘分布最优模型并不一致。流域水库尤其是新丰江水库的径流调节作用,对于缓解东江中下游水文干旱效果明显,超阈联合重现期为2年的设计干旱持续时间、总缺水量和最大日缺水量分别减少了63%~71%、71%~84%和30%~47%,但如果要满足东江河道内最小管理流量目标,其依然分别达到了12~18 d、6 114万~9 030万m3和715.0万~929.0万m3。     

汾河上游土地利用变化及其水文响应研究

以河岔水文站以上的汾河流域为研究区,采用土地利用转移矩阵和SWAT模型模拟方法,就汾河上游土地利用变化对水文过程的影响进行研究. 流域从1995-2000年,以耕地向林地和草地转变为主;从2000-2010年,城市建设用地不断增加,主要是对耕地的占用. 结果显示,在相同气候背景、不同土地利用情景（1995、2000年2010年）下,流域1992-2000年多年平均产水量微弱增加（分别为85.69 mm、85.75 mm和85.82 mm）,主要因为耕地持续减少,草地和城市建设用地不断增加. 但是各年产水量的大小关系不完全一致,枯水年和平水年与丰水年存在差异,而土壤水分呈现一致的减少状况. 子流域水平上,降水条件同样影响水文过程对土地利用变化的响应程度. 以上结果表明,汾河流域在退耕还林还草政策等影响下,土地利用发生变化并且直接影响流域的水文过程,但是流域水文过程对土地利用变化的响应还受到降水的影响.     

Relationships between benthic community condition, water quality, sediment quality, nutrient loads, and land use patterns in Chesapeake Bay

Associations between macrobenthic communities, measures of water column and sediment exposure, and measures of anthropogenic activities throughout the watershed were examined for the Chesapeake Bay, U.S. The condition of the macrobenthic communities was indicated by a multimetric benthic index of biotic integrity (B-IBI) that compares deviation of community metrics from values at reference sites assumed to be minimally altered by anthropogenic sources of stress. Correlation analysis was used to examine associations between sites with poor benthic condition and measures of pollution exposure in the water column and sediment. Low dissolved oxygen events were spatially extensive and strongly correlated with benthic community condition, explaining 42% of the variation in the B-IBI. Sediment contamination was spatially limited to a few specific locations including Baltimore Harbor and the Southern Branch of the Elizabeth River and explained about 10% of the variation in the B-IBI. After removing the effects of low dissolved oxygen events, the residual variation in benthic community condition was weakly correlated with surrogates for eutrophication—water column concentrations of total nitrogen, total phosphorus, and chlorophylla. Associations between benthic conditions and anthropogenic inputs and activities in the watershed were also studied by correlation analysis. Benthic condition was negatively correlated with measures of urbanization (i.e., population density, point source loadings, and total nitrogen loadings) and positively correlated with watershed forestation. Significant correlations were observed with population density and nitrogen loading below the fall line, but not above it, suggesting that near-field activities have a greater effect on benthic condition than activities in the upper watershed. At the tributary level, the frequency of low dissolved oxygen events and levels of sediment contaminants were positively correlated with population density and percent of urban land use. Sediment contaminants were also positively correlated with point source nutrient loadings. Water column total nitrogen concentrations were positively correlated with nonpoint nutrient loadings and agricultural land use while total phosphorus concentrations were not correlated with land use or nutrient loadings. Chlorophylla concentrations were positively correlated with nitrogen and phosphorus concentrations in the water column and with agricultural land use but were not correlated with nutrient loads.     

Measured and modeled effects of benthic algae on eutrophication in Indian River-Rehoboth Bay, Delaware

A combination of field studies and mathematical modeling was used to examine the role of subtidal benthic algae in the eutrophication processes in two shallow estuarine systems. Field measurements indicated uptake by benthic algae retained ammonium and phosphate in the sediments when light at the sediment surface exceeded ≈150 μE m² s^?1. The measurements were used to calibrate a newly developed model of benthic algal activity. The benthic algal model was coupled with a hydrodynamic model, a eutrophication model, and a sediment diagenesis model. In the simulated ecosystem, benthic algae had a major influence in the intra-annual cycling of nitrogen and phosphorus. When nutrients were abundant in the water column (late winter and spring) they were transferred to the sediments through algal activity. Diagenesis released these nutrients to the water column in summer when nutrients were scarce. As a result of the nutrient transfer, annual primary production in the water column, in the presence of benthic algae, exceeded production in the absence of the algae.     

Integration of monthly water balance modeling and nutrient load estimation in an agricultural catchment

Non-point sources pollution has become a serious environmental problem in the aquatic systems throughout the world. The Xitiaoxi catchment is located in the southwest of Taihu Basin, contributing large amounts of runoff and associated nutrients to Taihu Lake. Thus, identifying critical non-point sources pollution in this catchment is urgent and essential to control water pollution, improve the water quality, and reduce the pollutants drained into water bodies. The present study integrated a monthly water balance model with the export coefficient model for total nitrogen and total phosphorus loads estimation in the Xitiaoxi catchment in southeastern China. The simulated monthly runoff are in good agreement with the observed streamflow at both Hengtangcun and Fanjiancun stations with Nash?CSutcliffe coefficients higher than 0.80. The predictions showed reasonable ranges from 1687 to 2046?t/y (2002?C2005) for total nitrogen loads, and from 106 to 157?t/y for total phosphorus loads (1999?C2007), respectively, which are consistent with the observed values at Hengtangcun. Overall, the monthly export coefficient model coupling monthly water balance simulation to export coefficient model presented both the seasonal dynamics and magnitude for streamflow and nutrients loads, which generally match well with the observations. These findings demonstrate that the proposed model can provide encouraging results and can be used as an efficient tool to identify the pollution sources for planning and management of large-scale agricultural catchment.