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Impact of Land Use and Land Cover Changes on Surface Runoff and Sediment Yield in the Little Ruaha River Catchment 小鲁阿哈河流域土地利用/覆被变化对地表产沙径流的影响
Pub Date : 2021-06-28 DOI: 10.4236/ojmh.2021.113004
N. Chilagane, J. Kashaigili, E. Mutayoba, P. Lyimo, P. Munishi, Christine Tam, N. Burgess
Little Ruaha River catchment (6370 Km2) in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT), is one of the country’s most significant waterways due to its ecological composition and economic value. Regardless of its ecological and economical value, the regional hydrologic condition has been tremendously affected due to land uses alteration, influenced by different socio-economic factors. This study aimed to understand the associated impacts of the present Land Use Land Cover (LULC) change on the surface runoff and sediment yield in the Little Ruaha River Catchment. Hydrological modelling using Soil and Water Assessment Tool (SWAT Model) was done to quantify the impact of land use and land cover dynamics on catchment water balance and sediment loads. The calibration and validation of the SWAT model were performed using sequential uncertainty fitting (SUFI-2). The results showed that, for the given LULC change, the average annual surface runoff increased by 2.78 mm while average annual total sediment loading increased by 3.56 t/ha, the average annual base flow decreased by 2.68 mm, ground water shallow aquifer recharge decreased from 2.97 mm and a slight decrease in average annual ground water deep aquifer recharge by 0.14 mm. The model predicts that in the future, there will be a further increase in both surface runoff and sediment load. Such changes, increased runoff generation and sediment yield with decreased base flow have implications on the sustenance flow regimes particularly the observed reduced dry season river flow of the Little Ruaha River, which in turn cause adverse impacts to the biotic component of the ecosystem, reduced water storage and energy production at Mtera Hydroelectrical dam also increasing the chances of flooding at some times of the year. The study recommends land use planning at the village level, and conservation agricultural practices to ameliorate the current situation. Developing multidisciplinary approaches for integrated catchment management is the key to the sustainability of Little Ruaha River catchment.
坦桑尼亚南部农业增长走廊(SAGCOT)的小鲁阿哈河流域(6370平方公里),由于其生态组成和经济价值,是该国最重要的水道之一。无论其生态和经济价值如何,受不同社会经济因素的影响,由于土地利用的变化,区域水文条件都受到了巨大的影响。本研究旨在了解目前土地利用-土地覆盖(LULC)变化对小鲁阿哈河流域地表径流和产沙量的相关影响。使用土壤和水评估工具(SWAT模型)进行水文建模,以量化土地利用和土地覆盖动态对集水区水平衡和沉积物负荷的影响。SWAT模型的校准和验证使用顺序不确定度拟合(SUFI-2)进行。结果表明,对于给定的LULC变化,多年平均地表径流增加了2.78mm,而多年平均总输沙量增加了3.56t/ha,多年平均基流减少了2.68mm,地下水浅层蓄水层补给量从2.97mm减少,地下水深层蓄水层的年平均补给量略有减少0.14mm。该模型预测,未来,地表径流和输沙量都将进一步增加。这种变化、产流增加和产沙量减少以及基流减少对维持流状态产生了影响,特别是观察到的小鲁阿哈河旱季河流流量减少,这反过来又对生态系统的生物成分造成了不利影响,Mtera水电站大坝蓄水量和能源产量的减少也增加了一年中某些时候发生洪水的可能性。该研究建议在村级进行土地利用规划,并采取保护性农业措施来改善目前的状况。制定综合流域管理的多学科方法是小鲁阿哈河流域可持续性的关键。
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引用次数: 14
Risk Assessment of Rainwater Overflow from Lake Warouwaye in the Case of a Ten-Year Rainfall in Yeumbeul North, Senegal 塞内加尔Yeumboul北部十年一遇降雨情况下瓦鲁瓦耶湖雨水溢出的风险评估
Pub Date : 2021-06-28 DOI: 10.4236/ojmh.2021.113003
Benewende Anthelme Victor Sondo, S. Ndao, P. B. D. Thioune, E. B. Diaw
This study is a part of a global approach in which, the main purpose is to understand the reasons behind the upsurge of flood events in the peri-urban area of the city of Dakar. Hydrological and hydraulics simulations were carried out to assess the risks of overflowing of the Lake Warouwaye after a so-called exceptional rain. Data were collected through field surveys, as well as site observations of dwellings before and after rain episodes. The simulations were performed using EPA’s Storm Water Management Model (SWMM) software with input data obtained from sub-software and supervisory applications such as Google Earth, Excel, and Global Mapper. The simulation results show factors of natural and anthropogenic origin may contribute to dysfunction hydrological elements such as the watershed capacity to drain and store water. In light of the results of this study, institutional governance efforts are to be made and to be sustained in order to reverse the tendency to occupy rainwater natural flow channels. It will also be necessary to involve the first actors who are the potential victims of flooding caused by the recurrent overflow of reservoirs.
这项研究是全球方法的一部分,其主要目的是了解达喀尔城市周边地区洪水事件激增的原因。进行了水文和水力学模拟,以评估所谓的异常降雨后瓦鲁瓦耶湖泛滥的风险。数据是通过实地调查以及在降雨前后对住宅的现场观测收集的。模拟是使用美国环保局的雨水管理模型(SWMM)软件进行的,输入数据来自子软件和监管应用程序,如谷歌地球、Excel和全球地图绘制器。模拟结果表明,自然和人为因素可能导致水文要素功能障碍,如流域排水和蓄水能力。根据这项研究的结果,为了扭转占用雨水自然流动通道的趋势,需要进行并持续进行机构治理。还必须让第一批行动者参与进来,他们是水库经常溢流造成的洪水的潜在受害者。
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引用次数: 2
Review on the Estimating the Effective Way for Managing the Produced Water: Case Study 采出水管理有效途径评价综述——以实例为例
Pub Date : 2021-06-23 DOI: 10.4236/ojmh.2021.112002
M. Kassab, A. Abbas, Iman Elgamal, Basem M. Shawky, Mahmoud F. Mubarak, R. Hosny
Water manufactured is the primary waste source in the oil and gas industry. Because of the rising amount of waste worldwide, the environmental effect of wastewater has become a primary environmental concern in recent years. The vast amounts involved have resulted in considerable costs to the industry for handling produced water. This research explains the wide variety of choices for water management. This research’s first phase was water minimization techniques, consisting of three different applications made in three different wells (Well 1, Well 2 and Well 3) and water recycling and reuse by two techniques. In Well 1, Mechanical shut-off technique was applied using through tubing bridge plug and 5 m cement dumped above it to isolate the watered out zone; as per water oil ration plot the water cut is decreased from 100% to 4% and the production is increased from 0 to 400 bcpd. In Well 2, Chemical shut-off technique using a polymer called Brightwater has been used to block channeling through high permeability intervals after PLT log detected it, and the result was brilliant, the water cut decreased from 60% to 25%, also the oil production increase from 500 to 3000 bopd. In Well 3, downhole separator installed in it using workover (unfortunately, this technique is not applied in middle east till the moment so this application is taken from an oil field in Canada)and the result was perfect, the water cut decreased from 70% to 28%, also the oil production increase from 44 to 100 bopd. This study tried to clarify and compare the most widely used water management techniques using one of the Western Desert (W.D.) (enhanced for oil recovery, constructed wetland).
在石油和天然气工业中,废水是主要的废物来源。近年来,由于世界范围内废物量的不断增加,废水的环境影响已成为一个主要的环境问题。涉及的大量废水导致该行业处理产出水的成本相当高。这项研究解释了水管理的各种选择。该研究的第一阶段是水最小化技术,包括在三口不同的井(井1、井2和井3)中进行的三种不同的应用,以及两种技术的水回收和再利用。井1采用机械封堵技术,通过油管桥塞,在桥塞上方倾倒5 m水泥,隔离水淹区;根据水油比例图,含水率从100%下降到4%,产量从0桶/天增加到400桶/天。在井2中,在PLT测井检测到高渗透层段的通道后,使用了一种名为Brightwater的聚合物进行化学封堵,结果非常好,含水率从60%下降到25%,产油量从500桶/天增加到3000桶/天。在井3中,通过修井将井下分离器安装在井3中(不幸的是,该技术目前尚未在中东地区应用,因此采用了加拿大的油田),结果非常理想,含水率从70%降至28%,产油量从44桶/天增加到100桶/天。本研究试图以西部沙漠(wd)(提高采收率,人工湿地)为例,对目前应用最广泛的水管理技术进行澄清和比较。
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引用次数: 3
Effects of Model Structural Complexity and Data Pre-Processing on Artificial Neural Network (ANN) Forecast Performance for Hydrological Process Modelling 模型结构复杂度和数据预处理对水文过程模拟人工神经网络预测性能的影响
Pub Date : 2021-01-29 DOI: 10.4236/OJMH.2021.111001
M. Y. Otache, J. Musa, I. Kuti, Mustapha Mohammed, Lydia Ezekiel Pam
The choice of a particular Artificial Neural Network (ANN) structure is a seemingly difficult task; worthy of relevance is that there is no systematic way for establishing a suitable architecture. In view of this, the study looked at the effects of ANN structural complexity and data pre-processing regime on its forecast performance. To address this aim, two ANN structural configurations: 1) Single-hidden layer, and 2) Double-hidden layer feed-forward back propagation network were employed. Results obtained revealed generally that: a) ANN comprised of double hidden layers tends to be less robust and converges with less accuracy than its single-hidden layer counterpart under identical situations; b) for a univariate time series, phase-space reconstruction using embedding dimension which is based on dynamical systems theory is an effective way for determining the appropriate number of ANN input neurons, and c) data pre-processing via the scaling approach excessively limits the output range of the transfer function. In specific terms considering extreme flow prediction capability on the basis of effective correlation: Percent maximum and minimum correlation coefficient (Rmax% and Rmin%), on the average for one-day ahead forecast during the training and validation phases respectively for the adopted network structures: 8 7 5 (i.e., 8 input nodes, 7 nodes in the hidden layer, and 5 output nodes in the output layer), 8 5 2 5 (8 nodes in the input layer, 5 nodes in the first hidden layer, 2 nodes in the second hidden layer, and 5 nodes in the output layer), and 8 4 3 5 (8 nodes in the input layer, 4 nodes in the first hidden layer, 3 nodes in the second hidden layer, and 5 nodes in the output layer) gave: 101.2, 99.4; 100.2, 218.3; 93.7, 95.0 in all instances irrespective of the training algorithm (i.e., pooled). On the other hand, in terms of percent of correct event prediction, the respective performances of the models for both low and high flows during the training and validation phases, respectively were: 0.78, 0.96: 0.65, 0.87; 0.76, 0.93: 0.61, 0.83; and 0.79, 0.96: 0.65, 0.87. Thus, it suffices to note that on the basis of coherence or regularity of prediction consistency, the ANN model: 8 4 3 5 performed better. This implies that though the adoption of large hidden layers vis-a-vis corresponding large neuronal signatures could be counter-productive because of network over-fitting, however, it may provide additional representational power. Based on the findings, it is imperative to note that ANN model is by no means a substitute for conceptual watershed modelling, therefore, exogenous variables should be incorporated in streamflow modelling and forecasting exercise because of their hydrologic evolutions.
选择特定的人工神经网络(ANN)结构是一项看似困难的任务;值得关注的是,没有系统的方法来建立合适的体系结构。鉴于此,本研究考察了人工神经网络结构复杂性和数据预处理制度对其预测性能的影响。为了解决这一问题,采用了两种ANN结构配置:1)单隐层和2)双隐层前馈反传播网络。结果表明:a)在相同的情况下,由双隐层组成的人工神经网络的鲁棒性和收敛精度都低于单隐层的人工神经网络;b)对于单变量时间序列,基于动力系统理论的嵌入维数相空间重构是确定ANN输入神经元数量的有效方法;c)缩放方法的数据预处理过度限制了传递函数的输出范围。具体考虑基于有效相关的极端流量预测能力:所采用的网络结构在训练和验证阶段的最大最小相关系数百分比(Rmax%和Rmin%)分别为前一天预测的平均值:8 7 5(即8输入节点,7个隐层节点,和5个输出节点在输出层),5 2 5 8(8节点输入层,5第一隐层节点,2在第二隐层节点,节点和5在输出层),和8 4 3 5(8节点的输入层,4个节点在第一隐层,3第二隐层节点,节点和5在输出层)为:101.2,99.4;100.2、218.3;93.7, 95.0在所有的情况下,无论训练算法(即,池)。另一方面,在训练和验证阶段,低流量和高流量模型的事件预测正确率分别为:0.78、0.96、0.65、0.87;0.76, 0.93; 0.61, 0.83;0.79, 0.96, 0.65, 0.87。因此,值得注意的是,基于预测一致性的一致性或规律性,ANN模型:8 4 3 5表现更好。这意味着,尽管由于网络过度拟合,相对于相应的大型神经元特征采用大型隐藏层可能会适得其反,但它可能提供额外的表征能力。基于这些发现,必须注意到,人工神经网络模型绝不是概念性流域建模的替代品,因此,由于外生变量的水文演变,应将其纳入流量建模和预测工作中。
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引用次数: 1
Simulation of the Hydrodynamic Functioning of the Cavally River Using a Coupled 1D-2D Model in the Ity Area (Zouan-Hounien in Côte d’Ivoire) 利用一维-二维耦合模型模拟Cavally河在城市地区的水动力功能(Zouan-Hounien in Côte d 'Ivoire)
Pub Date : 2021-01-01 DOI: 10.4236/ojmh.2021.114005
A. Yao, K. Anoh, Loukou Alexis Brou, Menouan Wilfried Goli, L. K. Kouassi
In recent years, the Cavally River has been subject to multiple activities, including the construction of diversion channels and a bridge that makes it vulnerable to flooding. In order to assess the impact of these hydraulic structures on the river hydrodynamic functioning, a 1D-2D model was realized. The implementation of the 1D-2D model consisted of first running the 1D model, then the 2D model, and finally in coupling them. The 1D-2D model was designed with the 1988 flood hydrograph, a Manning’s coefficient of 0.052 m 1/3 /s for the minor bed and 0.06 m 1/3 /s for the major bed. The results of the hydraulic model show that the velocities are almost identical to those of the Cavally in natural operation. The values of the velocities are included between 0.4 m/s and 1.3 m/s at the level of the minor bed of the river and between 0.06 m/s and 0.71 m/s at the level of the floodplains. The average water level for flood propagation is 262.37 ± 0.44 m before construction of the structures and 262.23 ± 0.85 m after construction of the structures. The 0.41 m reduction in water level due to the diversion canal and bridge is negligible compared to the total fluctuations of the Cavally River, which vary from 6 to 7 m over the year.
近年来,卡瓦利河受到多种活动的影响,包括建设导流渠道和一座桥梁,使其容易受到洪水的影响。为了评估这些水工建筑物对河流水动力功能的影响,实现了一个1D-2D模型。3d -2D模型的实现包括先运行1D模型,然后运行2D模型,最后将两者耦合。采用1988年洪水线设计一维-二维模型,小河床的曼宁系数为0.052 m 1/3 /s,大河床的曼宁系数为0.06 m 1/3 /s。水力模型计算结果表明,水流速度与自然运行时的速度基本一致。在小河床上的速度值在0.4 ~ 1.3 m/s之间,在洪泛平原上的速度值在0.06 ~ 0.71 m/s之间。构筑物施工前洪水传播平均水位为262.37±0.44 m,构筑物施工后平均水位为262.23±0.85 m。由于引水渠和桥梁造成的0.41米的水位下降与卡沃利河全年6 - 7米的总波动相比微不足道。
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引用次数: 0
Evaluating the Performance of HEC-HMS and SWAT Hydrological Models in Simulating the Rainfall-Runoff Process for Data Scarce Region of Ethiopian Rift Valley Lake Basin HEC-HMS和SWAT水文模型在埃塞俄比亚裂谷湖流域数据匮乏地区模拟降雨径流过程中的性能评估
Pub Date : 2020-10-27 DOI: 10.4236/ojmh.2020.104007
Mohammedreshid A. Aliye, Alemu O. Aga, Teshale Tadesse, P. Yohannes
A number of physically-based and distributed watershed models have been developed to model the hydrology of the watershed. For a specific watershed, selecting the most suitable hydrological model is necessary to obtain good simulated results. In this study, two hydrologic models, Soil and Water Assessment Tool (SWAT) and Hydrological Engineering Centre-The Hydrologic Modeling System (HEC-HMS), were applied to predict streamflow in Katar River basin, Ethiopia. The performances of these two models were compared in order to select the right model for the study basin. Both models were calibrated and validated with stream flow data of 11 years (1990-2000) and 7 years (2001-2007) respectively. Nash-Sutcliffe Error (NSE) and Coefficient of Determination (R2) were used to evaluate efficiency of the models. The results of calibration and validation indicated that, for river basin Katar, both models could simulate fairly well the streamflow. SWAT gave the model performance with the R2 > 0.78 and NSE > 0.67; and the HEC-HMS model provided the model performance with the R2 > 0.87 and NSE > 0.73. Hence, the simulated streamflow given by the HEC-HMS model is more satisfactory than that provided by the SWAT model.
已经开发了许多基于物理的分布式流域模型来对流域的水文进行建模。对于特定的流域,选择最合适的水文模型是获得良好模拟结果的必要条件。在本研究中,土壤和水评估工具(SWAT)和水文工程中心水文建模系统(HEC-HMS)两个水文模型被用于预测埃塞俄比亚卡塔尔河流域的流量。比较了这两个模型的性能,以便为研究盆地选择合适的模型。这两个模型分别用11年(1990-2000年)和7年(2001-2007年)的流量数据进行了校准和验证。Nash-Sutcliffe误差(NSE)和决定系数(R2)用于评估模型的效率。校准和验证结果表明,对于Katar河流域,这两个模型都能很好地模拟径流。SWAT给出了R2>0.78和NSE>0.67的模型性能;HEC-HMS模型提供了R2>0.87和NSE>0.73的模型性能。因此,HEC-HMS模型给出的模拟流量比SWAT模型提供的模拟流量更令人满意。
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引用次数: 17
Calibration and Validation of the SWAT Model on the Watershed of Bafing River, Main Upstream Tributary of Senegal River: Checking for the Influence of the Period of Study SWAT模型在塞内加尔河主要上游支流巴芬河流域的校准和验证:检查研究周期的影响
Pub Date : 2020-10-27 DOI: 10.4236/ojmh.2020.104006
Moussé Landing Sane, S. Sambou, Issa Lèye, D. Ndione, S. Diatta, I. Ndiaye, M. Badji, Seïdou Kane
Management of reservoir water resources requires the knowledge of flow inputs in this reservoir. Hydrological rainfall-runoff model is used for this purpose. There are several types of hydrological model according the description of the hydrological processes: black-box models, conceptual models, deterministic physical based model. SWAT is a semi-distributed hydrological model designed for water quality and quantity. This versatile tool has been used all around the world to assess and manage water resources. The main objective of the paper is to calibrate and validate the SWAT model on the watershed of Bafing located between 10°30' and 12°30' north latitude and between 12°30' and 9°30' west longitude to assess climate change on this river flows. A DEM with a resolution of 12.5 m × 12.5 m, the daily average flows and the daily observed precipitations on the period 1979-1986 (long period) are used as inputs for the calibration, while precipitations for the period 1988-1994 are used for the validation. The sensitivity analysis was done to detect the most determining coefficients during the calibration step. It shows that 19 parameters are required. Then, the effect of the period on the parameters calibration is checked for using first the whole period of study and then each year of the period of study. The Nash criterion was used to compare the calculated and the observed hygrographs in each case. The results showed that the longer is the period of calibration, the more accurate is the Nash criterion. The calibration per year gave a best Nash criterion except for a single year. During the validation, the parameters calculated on the long period lead to the best Nash criterion. The values of the Nash criterion calibration and validation are very suitable. These results of calibration can be used to study the long-term evolution of flow at Senegal River on Bafing Makana.
水库水资源的管理需要了解该水库的流量输入。为此,采用了水文降雨径流模型。根据水文过程的描述,水文模型有几种类型:黑箱模型、概念模型、确定性物理模型。SWAT是针对水质和水量设计的半分布式水文模型。这一多功能工具已在世界各地用于评估和管理水资源。本文的主要目的是在北纬10°30′~ 12°30′、西经12°30′~ 9°30′之间的八滨流域对SWAT模型进行标定和验证,以评估该河流流量的气候变化。采用分辨率为12.5 m × 12.5 m的DEM、1979-1986年(长周期)的日平均流量和日观测降水作为定标输入,1988-1994年的降水用于验证。进行灵敏度分析以检测校准步骤中最重要的决定系数。显示需要19个参数。然后,首先使用整个研究期间,然后使用研究期间的每一年,检查周期对参数校准的影响。采用纳什判据来比较每种情况下的计算值和观测值。结果表明,标定周期越长,Nash准则的精度越高。每年的校准给出了最佳纳什标准,除了单一年份。在验证过程中,通过长周期的参数计算得到最佳纳什准则。纳什准则的校正和验证值是非常合适的。这些校正结果可用于研究巴冰马卡纳塞内加尔河流量的长期演变。
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引用次数: 4
Characterisation of Hydrological Drought and Implications for Sustainable Water Resources Management in the Sokoto-Rima River Basin (SRRB), Nigeria 尼日利亚Sokoto-Rima河流域水文干旱特征及其对可持续水资源管理的影响
Pub Date : 2020-06-03 DOI: 10.4236/ojmh.2020.103005
M. Y. Otache, O. D. Jimoh, J. Musa, Abdullahi Danmagaji
Hydrological drought is usually characterised by water loss over time from both underground and surface supplies. Thus for this study, the assessment of hydrological drought was carried out by employing Cumulative Rainfall/Streamflow Anomaly as preliminary tools for the presence of drought signatures while detailed characterisation was via Streamflow Drought Index (SDI). The results revealed that hydrological drought was observed in all the stations; however, though in general, the stations could be classified as experiencing near normal drought conditions with mild drought signatures. The findings also revealed that the average streamflow deficit volume and durations of the hydrological drought severity were 1.780 Mm3 and 192 months, 1.444 Mm3 and 252 months, 3.148 Mm3 and 252 months, and 0.159 Mm3 and 372 months for Bakolori, Goronyo (pre dam construction era), Goronyo (post dam construction era) and Zobe stations, respectively. The results also revealed the relevance of flow duration curve and analysis of frequency of drought state transition for the development of scenario-based basin water resources management protocol. The coefficient of determination (R2) statistic of the developed regression models indicate that 73.3% and 86.5% variation in streamflow dynamics across the Basin can be explained by climate change variables. However, for sustainable management of water resources in the Basin, it is imperative that characterisation of hydrological drought and monitoring should employ robust indices which use improved monthly precipitation estimates under global warming scenario in addition to ensuring that there is a shift from reactive to proactive approach in order to combat hydrological risk. Hence, a robust framework that finds application both for planning mitigation actions which embody strategic, tactical and emergency components should be designed; to this end, analysis of persistence and recurrence of drought in time and determination of possible recurrent patterns are necessary.
水文干旱的特点通常是地下和地表供水随时间的推移而流失。因此,在本研究中,通过使用累积降雨量/径流异常作为干旱特征存在的初步工具来进行水文干旱评估,而通过径流干旱指数(SDI)进行详细表征。结果表明,所有测站均出现水文干旱;然而,尽管总体而言,这些站点可以被归类为经历了接近正常的干旱条件,并具有轻度干旱特征。研究结果还显示,Bakolori、Goronyo(建坝前)、Goron约(建坝后)和Zobe站的平均流量亏空量和水文干旱严重程度持续时间分别为1.780 Mm3和192个月、1.444 Mm3和252个月、3.148 Mm3和2520个月以及0.159 Mm3和372个月。研究结果还揭示了流量-持续时间曲线和干旱状态转换频率分析与基于情景的流域水资源管理协议制定的相关性。所开发的回归模型的决定系数(R2)统计表明,整个流域73.3%和86.5%的径流动力学变化可以用气候变化变量来解释。然而,为了实现流域水资源的可持续管理,水文干旱的特征描述和监测必须采用稳健的指数,在全球变暖的情况下,除了确保从被动方法转向主动方法以应对水文风险外,还应使用改进的月降水量估计值。因此,应设计一个强有力的框架,既适用于规划缓解行动,又包含战略、战术和应急组成部分;为此,有必要及时分析干旱的持续性和复发性,并确定可能的复发模式。
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引用次数: 1
Climate and Water Balance Changes in the Kinneret Watershed: A Review Kinneret流域气候与水平衡变化研究进展
Pub Date : 2020-04-08 DOI: 10.4236/ojmh.2020.102002
M. Gophen
Regional Climate Change studied during 1950-2019 aimed at enhancement of aridity was indicated recently in the Lake Kinneret (Israel) watershed. Climate change was indicated by: Higher periodical frequency of negative SPI Values (Standard Precipitation Index), decline of Precipitation regime and River flow inputs that was followed by decline of Lake Kinneret WL and Elevation of ET regime. Nevertheless aridity enhanced the opposite, decline of ET capacities. Underground flows indicated outputs enhancement. The temporal decline of air temperature during 1940-1980 probably due to the change of ALBEDO Factor was twisted later into regional temperature elevation. During the 1950s, old lake Hula and surrounding wetlands were drained and water cover surface was converted to plant cover, which enhanced sunlight energy reflection. Followed eventual climate change, management legislations were a reduction of water allocation for agricultural irrigation. A recent public dispute has indicated contradicted conclusions as causation for WL decline in Lake Kinneret: 1) Enhancement of Agricultural water consumption in the Upper Jordan Watershed and 2) Climate change-aridity enhancement. This paper confirms the second conclusion.
最近在Kinneret湖(以色列)流域发现了1950-2019年期间为加强干旱而研究的区域气候变化。气候变化表现为:SPI负值(标准降水指数)的周期性频率较高,降水量和河流流量输入下降,其次是Kinneret湖WL和ET高程的下降。然而,干旱反而增强了ET能力的下降。地下水流表明产出增加。1940-1980年间气温的暂时下降可能是由于ALBEDO因子的变化,后来被扭曲为区域气温上升。在20世纪50年代,老胡拉湖和周围的湿地被排水,水覆盖表面被转化为植物覆盖,这增强了阳光能量的反射。随着最终的气候变化,管理立法减少了农业灌溉用水的分配。最近的一项公开争议表明,作为Kinneret湖WL下降的原因,存在矛盾的结论:1)约旦河上游流域农业用水量增加;2)气候变化干旱度增加。本文证实了第二个结论。
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引用次数: 8
Modelling Estimation of the Available Rainwater Resource in Gbédji-Kotovi Clay Area for Supplying Dikes and Dams gbsamji - kotovi粘土区供坝可利用雨水资源的模拟估算
Pub Date : 2020-04-07 DOI: 10.4236/ojmh.2020.102003
Kassa Issifou Mounou Sambieni, F. P. Codo
Floods and flows data are useful for dimensioning of dikes and dams which often include evacuation devices that regulate flows to ensure the volumes of water. The objective of this study is to estimate the available water resource in the village of Gbedji-Kotovi, located in the watershed of Couffo river in Benin by using sequentially, the HBV (Hydrologiska Byrans Vattenbalansavdelning) and GR4J (Rural Engineering model with 4 daily parameters) climate models. Hydrographs of water levels are simulated according to the calibration period (1994-1999) different from the validation one (1982-1988). Considering the Nash-Sutcliffe model Efficiency coefficient (NSE), the performance of GR4J model during calibration is slightly higher than the performance of the HBV model, while during the validation, the contrary is noticed. The annual rainfall average simulated is 1117.7 mm/year while the average observed is 1104.6 mm/year over the period 1981-2005. By 2050, on one hand, the annual flow rate values will vary from -19.2 to -11.9%, while the actual evapotranspiration will vary between 0.5 and -5.8; on another hand, the potential evapotranspiration and the annual precipitation remain constant. An average flow of 187 millions m3/year for annual average water depth of 1094 mm is obtained at Lanta rain station, which covers an area of 1664.47 km2, while this flow enabled an average flow of 327.5 millons m3/year to be obtained at the virtual station of our study area of 2908.15 km2. The flow rates corresponding to the return periods of 10, 25 and 50 years vary from 5.51 to 12.67 m3/s at the outlet of the virtual station; while those at the outlet of Lanta station vary from 3.6 to 6.6 m3/s. However, the simulated water quantiles cannot be fully mobilized; because of the uses, they undergo upstream and downstream. Thus, Gbedji-Kotovi locality requires the implementation of an integrated water resource management strategy that includes the construction of dikes and dams.
洪水和流量数据有助于确定堤坝的尺寸,堤坝通常包括调节流量以确保水量的疏散装置。本研究的目的是通过依次使用HBV(Hydroiska Byrans Vattenbalansavdelning)和GR4J(具有4个日常参数的农村工程模型)气候模型来估计位于贝宁Couffo河流域的Gbedji Kotovi村的可用水资源。水位过程线是根据校准期(1994-1999年)与验证期(1982-1988年)不同的情况进行模拟的。考虑到Nash-Sutcliffe模型的效率系数(NSE),GR4J模型在校准过程中的性能略高于HBV模型的性能,而在验证过程中,则相反。1981-2005年期间,模拟的年平均降雨量为1117.7毫米/年,而观测到的平均降雨量为1104.6毫米/年。一方面,到2050年,年流量值将在-19.2%至-11.9%之间变化,而实际蒸散量将在0.5至-5.8之间变化;另一方面,潜在蒸散量和年降水量保持不变。在占地1664.47平方公里的Lanta雨水站,年平均水深为1094毫米,平均流量为1.87亿立方米/年,而在我们研究区域2908.15平方公里的虚拟站点,该流量使平均流量达到3.275亿立方米/每年。对应于10年、25年和50年重现期的流量在虚拟站出口的5.51至12.67m3/s之间变化;而大屿山站出口的流量在3.6至6.6m3/s之间。然而,模拟的水分位数不能完全动员起来;由于用途,它们经历了上游和下游。因此,Gbedji Kotovi地区需要实施综合水资源管理战略,包括修建堤坝。
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现代水文学期刊(英文)
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