Diffuse Source Particulate-Matter Pollution Modeling in a Semi-Urbanized Agricultural Basin in Japan Using Process-Based WEP and an Erosion-Transport Model

2010 ◽  
Vol 5 (3) ◽  
Author(s):  
H. L. Rajapakse ◽  
H. Inomata ◽  
K. Fukami

The present study aimed at further improving the process-based WEP (Water and Energy Processes) hydrologic model, by coupling a soil erosion-transport model to introduce particle-bound pollutant component. The WEP model, initially developed for the extensive analysis of water and energy budgets at catchment scale, was later enhanced by incorporating material transport component (nitrogen and phosphorus; N and P), targeting integrated river basin management and decision support. The model involved a discharge-based process to simulate both N and P, and was validated using data in Yata River Basin, Japan, considering land use, plant acreage, fertilizer loading, plant nutrient uptake and crop harvest in respective administrative units. Although the model could adequately reproduce the dissolved N (DN) component as per the measured river N concentrations at selected observation points, particulate N and P (PN, PP), and dissolved P (DP) components were not satisfactorily simulated. In the present study, an attempt was made to incorporate PN and PP transport as soil absorbed constituents, by introducing a process-based sediment erosion, transport, deposition and associated pollutant load simulation procedures. The present modeling results indicate that PN and PP loads were better correlated with suspended solids (SS) in the stream and the model forecasting capabilities are noticeably enhanced, as verified based on the results obtained for simulation years 2001-2002 using pre-collected data (SS, PN and PP), signifying major pathways of nutrient losses in the basin.

2021 ◽  
Author(s):  
Cui Jian ◽  
Yue Zhao ◽  
Wenchao Sun ◽  
Yan Chen ◽  
Bo Wu ◽  
...  

Abstract Excessive phosphorus is an important cause of eutrophication. For river basin management, source identification and control of nonpoint source (NPS) pollution are difficult. In this study, to explore influences of hydrological conditions on phosphorus, the Soil and Water Assessment Tool (SWAT) model is applied to the Luanhe River basin in North China. Moreover, influences of the spatial scale of the livestock and poultry amount data on estimations of phosphorus loads are also discussed. The results show that applying town-level livestock and poultry amount data allows the model to perform better when estimating phosphorus loads, indicating that using data at a finer administrative level is necessary. For the typical wet year, the estimated annual phosphorus load was 2.6 times that in the typical dry year. Meanwhile, the contribution of pollution in summer to the annual load is greater in the wet year than that in the dry year. The spatial distributions of subbasins with high unit loads of phosphorus differ under different hydrological conditions, meaning that critical areas for pollution control vary with the wetness of each year. All these findings indicate that for pollution control at basin scale, considering the seasonal and interannual variabilities in hydrological conditions is highly demanded.


2014 ◽  
Vol 17 (2) ◽  
pp. 109-123
Author(s):  
Quan Hong Nguyen ◽  
Thang Toan Mai

Water resources from Kôn and Hà Thanh river basin, upstream areas of Thi Nai lagoon plays a very essential role on hydrological in economic – social development of Binh Dinh province. Assessment of potential water resources in the region can be servered for water resources planning toward sustainable development. In this paper, the SWAT model was applied in this study to evaluate river flow in the rivers. The simulation data were used with with the length of meteorological input data up to 36 years. The parameters of model were calibrated by SWAT-CUP with Sufi-2 algorithm (Semi Automated Sequential Uncertainty Fitting) using data of Binh Tuong discharge station(1980-1995), that also used to analyze parameter sensitivity. The coefficient of determination (R2), NSE values and PBIAS index for the daily runoff were obtained as 0,54; 0,51 and 15,01 % .The average input flow to Thi Nai lagoon were 105,16 m3/s (from Kon river) and 19,77 m3/s (from Ha Thanh river). The results of this study can be used for others research such as water balance calculation in the river basin or it can be used as inputs of water quality and sediment transport model in Thi Nai lagoon.


2005 ◽  
Vol 52 (9) ◽  
pp. 175-182 ◽  
Author(s):  
M. Zessner ◽  
S. Lindtner

Integrated presentation of total emissions on catchment scale is prerequisite for many tasks in integrated management of point and diffuse sources of pollution. This paper will focus on emissions of nutrients from municipal point sources. Based on calculations of discharges of N, P from households into wastewater and on the detailed evaluation of data from 76 municipal wastewater treatments plants, this paper presents ranges of specific loads of inhabitants and population equivalents in the raw wastewater. In addition data of these treatment plants have been evaluated in respect of the treatment efficiency for nitrogen and phosphorus (average reduction rates) dependent on the design characteristic (with or without nitrification, denitrification or enhanced phosphorus removal). The results of the investigation show that the specific N and P loads from households in Austria lie within the range 1.6–2.0gP/(inhabitant.d) and 11–13gN/(inhabitant.d). The specific contribution of industries to municipal wastewater varies between 0.3 and 2.0gP/(pe.d) and 0 and 13gN/(pe.d) with average values of 1.3gP/(pe.d) and 6.5gN/(population equivalent (pe)/d). As average values for municipal wastewater (contributions from household and industry) this leads to specific influent loads of 1.5gP/(pe.d) and 8.8gN/(pe.d). Average treatment efficiencies of treatment plants are for instance 50% nitrogen removal in treatment plants with nitrification and 80% in treatment plants with nitrification/denitrification. For phosphorus a removal of about 85% can be expected where the treatment plant was designed for enhanced phosphorus removal. Finally a method for load estimations based on standard values as mentioned above was tested for the estimation of emission from municipal point sources of selected regions.


2020 ◽  
Author(s):  
Steffen Kittlaus ◽  
Ottavia Zoboli ◽  
Jos van Gils ◽  
Manfred Clara ◽  
Oliver Gabriel ◽  
...  

<p>With an exponentially growing number of micropollutants dispersed in the environment and an increasing financial effort associated with the detection of very low concentrations in water bodies, models at catchment scale have become an essential tool to identify potential hotspots, to prioritize monitoring campaigns and to support river basin management plans. The choice of the model approach generally brings with it compromises between complexity and accuracy and depends on the specific goals and needs. In this work we compare and critically discuss the performance and the suitability of two different modelling approaches applied at the mesoscale (catchments area between 9 km<sup>2</sup> and 300 km<sup>2</sup>). We present the results for two perfluorinated compounds, namely Perfluorooctanoic acid (PFOA) and Perfluorooctanesulfonic acid (PFOS). Both are well-known hazardous pollutants, but not much is known about the spatial distribution of the contamination in river basins.</p><p>The first model (MoRE, Modeling of Regionalized Emissions) is a relatively data intensive, semi-empiric tool conceived for regionalized pathway analysis. We applied it in all Austrian river catchments to estimate yearly loads and annual mean concentrations. The parametrization relied on a targeted monitoring and on composite samples across several environmental compartments (Zoboli et. al., 2019). We validated the model at 12 quality measurement stations with yearly loads and annual mean concentrations. The second tool is a fate process-based model train developed within the EU SOLUTIONS project for the Danube River Basin (Lindim et al., 2016), which we validated at the same water quality stations. The model train estimates daily concentrations based on emissions and substance properties. It requires only few regional data, mainly regarding hydrology, and thus the parametrization is much easier.</p><p>The MoRE model showed very good agreement for the loads for PFOA (NSE 0.81, mNSE 0.68) and PFOS (NSE 0.89, mNSE 0.76) and partially good agreement regarding the annual mean concentrations: PFOA (R² 0.41, NSE 0.22, mNSE 0.11) and PFOS (R² 0.8, NSE 0.73, mNSE 0.53). The SOLUTIONS model train showed a systematic overestimation of annual mean concentrations for most of the stations for PFOA (R² 0.19, NSE -5.1, mNSE -0.78) and PFOS (R² 0.61, NSE -9.5, mNSE -1.4). As our observation data consist of long-term composite samples, we were not able to compare the daily concentrations given by the model with the samples. Thus, we could not investigate the temporal pattern of the model deviation.</p><p>Despite some limitations, the comparison indicates that the higher parametrization effort required by the MoRE model yields more accurate results. Where parametrization data is available, MoRE shall be preferred, since it also provides information about the contribution of different emission pathways (e.g. groundwater and interflow, wastewater treatment plants, industry) to the total emissions. SOLUTIONS brings clear advantages when parametrization data is scarce or for very large river basins. However, it would benefit from a further refinement based on the more detailed system understanding provided by MoRE. A future line of research would thus be their parallel application in combination with a targeted monitoring able to cover both spatial and temporal variability.</p>


2021 ◽  
Vol 52 (6) ◽  
pp. 1304-1317
Author(s):  
Arkhawan Jawhar Sharef

The main aim of this study is to highlight how the Alana River Basin (ARB) will meet future water needs and optimal monthly water distribution policies. The Water Evaluation and Planning System (WEAP) model was applied in order to determine the ARB and the operation plan policy using data for the past 16 years (2000-2015). The model result determined that the current regulations and practices regarding water use and pollution patterns are inadequate. An ideal scheme has been developed and implemented for various scenarios such as domestic water needs, irrigation water, and tourism. Four scenarios have been considered in this study, which are basic scenarios, a higher population growth scenario, a severe flow requirements scenario, and a scenario of adding dams. Comparisons show that the demand for water from April to September is high due to the agriculture season and the high temperature. The maximum demand for water is 3 million cubic meters, which occurs in August, while the proposed dam provides only 2 million cubic meters. In addition, the maximum demand for domestic water is 0.4733 MCM and the minimum is 0.36978 MCM, which is roughly the same level of water demand for every month. Accordingly, the government should start supplementing the Gali Bale dam. However, it is not a sufficient dam to cover the water demand, so the construction of additional dams is strongly suggested.


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