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Multi-Model Approach to Quantify Future Sediment and Pollutant Loads and Ecosystem Change in Selenga River System

机译:索伦加河流系统中量化未来沉积物和污染物荷载与生态系统变化的多模型方法

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The Selenga River, which originates in Mongolia, contributes about 50% of the total inflow into Lake Baikal. Hydroclimatic development and abrupt landscape evolution due to mining, industrial, and agricultural activities within the Selenga drainage basin affect the pollutant influx and transport along the course of the river and its tributaries and influence the riverine ecosystem, including fish habitats. This paper presents a process-based distributed modeling approach for the assessment of water, sediment, and contaminants dynamics and its environmental consequences at river basin scale by integrating various tools at multiple spatial scales. Different water quantity and quality processes were considered and modelled, e.g., the hydrology in the river basin, the erosion and sediment transport and budget, and fish migration. A set of regression models and a climate-driven hydrological model (ECOMAG) were applied to create projections of possible changes to the sediment and pollutants transport regime of the Selenga River and its delta that may occur in response to the projected variations of climate of the XXI century. Climate change may reduce the mean flow in the Selenga River at Kabansk by an average of 3-5% in the 2020s-2030s and 4-25% in the 2080s-2090s, depending on climate projections. The future increase in temperatures with permafrost thaw and the expansion of agricultural and mining activities along with urbanizaiton processes may induce up to 6% increase in the particulate modes and 3%, in the dissolved modes of some metals in the river system. Water runoff decline will dramatically decrease suspended sediment retention in the delta. Depending on the climate change scenario, in the 2080-2099, the suspended sediment load will change in the delta by -0.8% (retention) or by +1% (increase), which is much less than the recent observed average of sediment retention rates -33%. The reduction of runoff will induce a decrease in the migration distance of Baikal o
机译:萨尔登加河源于蒙古,占总流入的50%的流入贝加尔湖。 Selenga排水盆内采矿,工业和农业活动导致的循环发育和突然景观演变影响了污染物涌入和沿河及其支流的运输,影响河流生态系统,包括鱼类栖息地。本文介绍了一种基于过程的分布式建模方法,用于评估水,沉积物和污染物动力学,并通过在多个空间尺度上整合各种工具来评估河流域尺度的环境后果。考虑和建模不同的水量和质量过程,例如河流流域的水文,侵蚀和沉积物运输和预算,以及鱼迁移。应用了一系列回归模型和气候驱动的水文模型(ECOMAG),以创建对SELENGA RIVER的沉积物和污染物的可能变化的预测,以及可能在响应气候的预计变化中发生的XXI世纪。气候变化可能会在2020年代-2030年龄在2020年代-2030S中平均为3-5%的塞兰达河的平均流量,而2080年代 - 2090年的4-25%,具体取决于气候预测。在河流系统中的一些金属的溶解模式下,Modafrost解冻和农业和采矿活动的扩展以及Urbanizaiton工艺的扩大和农业和采矿活动的扩张可能会增加高达6%的颗粒样式和3%。水径流下降将大大降低三角洲悬浮沉积物保留。根据气候变化情景,在2080-2099中,悬浮的沉积物载荷将在δ中变化-0.8%(保留)或+ 1%(增加),这远远低于最近观察到的沉积物保留的平均值比率-33%。径流的减少将诱导贝京o的迁移距离减少

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