scholarly journals Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1387
Author(s):  
Xuekai Chen ◽  
Guojian He ◽  
Xiaobo Liu ◽  
Bogen Li ◽  
Wenqi Peng ◽  
...  
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Prevention And Control ◽  
Underlying Surface ◽  
Model Parameters ◽  
Erhai Lake ◽  
Pollution Load ◽  
Point Source Pollution ◽  
And Control ◽  
Non Point Source Pollution

The prevention and control of non-point source pollution is an important link in managing basin water quality and is an important factor governing the environmental protection of watershed water in China over the next few decades. The control of non-point source pollution relies on the recognition of the amount, location, and influencing factors. The watershed nonpoint source pollution mechanism model is an effective method to address the issue. However, due to the complexity and randomness of non-point source pollution, both the development and application of the watershed water environment model have always focused on the accuracy and rationality of model parameters. In this pursuit, the present study envisaged the temporal and spatial heterogeneity of non-point source pollution caused by the complex underlying surface conditions of the watershed, and the insufficient coverage of hydrological and water quality monitoring stations. A refined watershed non-point source pollution simulation method, combining the Monte Carlo analytic hierarchy process (MCAHP) and the sub-watershed parameter transplantation method (SWPT), was established on the basis of the migration and transformation theory of the non-point source pollution, considering the index selection, watershed division, sub-watershed simulation, and parameter migration. Taking the Erhai Lake, a typical plateau lake in China, as the representative research object, the MCAHP method effectively reduced the uncertainty of the weights of the watershed division indexes compared to the traditional AHP method. Furthermore, compared to the traditional all watershed parameter simulation (AWPS) approach, the simulation accuracy was improved by 40% using the SWPT method, which is important for the prevention and control of non-point source pollution in large-scale watersheds with significant differences in climatic and topographic conditions. Based on the simulation results, the key factors affecting the load of the non-point source pollution in the Erhai watershed were identified. The results showed that the agricultural land in Erhai Lake contributed a majority of the load for several reasons, including the application of nitro phosphor complex fertilizer. Among the different soil types, paddy soil was responsible for the largest pollution load of total nitrogen and total phosphorus discharge into the lake. The zones with slopes of 0°‒18° were found to be the appropriate area for farming. Our study presents technical methods for the assessment, prevention, and control of non-point source pollution load in complex watersheds.

Countermeasures of Non-Point Source Pollution Prevention and Control in Wohushan Waterhead Area

2013 ◽  
Vol 864-867 ◽  
pp. 1466-1469
Author(s):  
Li Hua Mao ◽  
Xue Mei Han
Keyword(s):  
Water Quality ◽  
Point Source ◽  
Prevention And Control ◽  
Pollution Prevention ◽  
Water Source ◽  
Drinking Water Source ◽  
Point Source Pollution ◽  
Pollution Prevention And Control ◽  
And Control ◽  
Non Point Source Pollution

Wohushan reservoir is an important drinking water source for south urban area of Jinan, however, the water quality of Wohushan reservoir is not safe, and agricultural non-point source pollution is the main reason that caused the water quality deteriorate. This paper analysed the sources of non-point source pollution through datum of population and agriculture production and other economic and social activities in Wohushan reservoir area. The water quality effect of domestic sewage, house refuse, live stock dung, and unreasonable use of fertilizer and pesticide were discussed as emphasis. Further more, the factors of the non-point source pollution were summarized according to policy, statute, economic, technology etc. At last, countermeasures of non-point source pollution prevention and control were proposed based on the source and pathway control of contaminates including perfect law system, strengthen policy guidance, increase funding, use fertilizer and pesticide reasonably, popularize biotechnology and methane tank, carry out efficient eco-agriculture construction, etc.

scholarly journals The Influence of Different Forest Characteristics on Non-point Source Pollution: A Case Study at Chaohu Basin, China

2020 ◽  
Vol 17 (5) ◽  
pp. 1790
Author(s):  
Hao Cheng ◽  
Chen Lin ◽  
Liangjie Wang ◽  
Junfeng Xiong ◽  
Lingyun Peng ◽  
...  
Keyword(s):  
Point Source ◽  
Prevention And Control ◽  
Pollution Prevention ◽  
Forest Land ◽  
Point Source Pollution ◽  
Nps Pollution ◽  
Forest Coverage ◽  
Pollution Prevention And Control ◽  
And Control ◽  
Non Point Source Pollution

Forestland is a key land use/land cover (LULC) type that affects nonpoint source (NPS) pollution, and has great impacts on the spatiotemporal features of watershed NPS pollution. In this study, the forestland characteristics of the Chaohu Basin, China, were quantitatively represented using forestland types (FLTs), watershed forest coverage (WFC) and forest distance from the river (DFR). To clarify the impact of forests on NPS pollution, the relationship between forestland characteristics and watershed nutrient outputs (TN and TP) was explored on a monthly scale using SWAT (Soil and Water Assessment Tool) and the period simulation was 2008–2016. The results showed that: (1) the TN and TP showed similar output characteristics and the rainy season was the peak period of nitrogen and phosphorus output. (2) Among the forestland characteristics of forestland types, watershed forest coverage and forest distance from the river, watershed forest coverage and forest distance from the river had greater effects than forestland types on the control of watershed nutrient outputs (TN and TP). (3) In different forestland types, the watershed nutrient outputs intensity remained at the lowest level when the FLTs was mixed forest, with a TN output of 1244.73kg/km2 and TP output of 341.39 kg/km2. (4) The watershed nutrient outputs and watershed forest coverage were negatively correlated, with the highest watershed forest coverage (over 75%) reducing the TN outputs by 56.69% and the TP outputs by 53.46% compared to the lowest watershed forest coverage (below 25%), it showed that in areas with high forest land coverage, the non-point source pollution load in the watershed is smaller than in other areas. (5) forest distance from the river had an uncertain effect on the TN and TP output of the basin, the forestland itself is a source of pollution, but it also has the function of intercepting pollution movement; the forest distance from the river in the range of 500–1000 m had the lowest NPS pollution. Considering the different forest characteristics and topographical factors, an optimal allocation mode of differentiated forest land was proposed, these suggestions will provide a scheme for surface source pollution prevention and control in the basin. This research gap is the basis of real forestland optimization. We may optimize the forestland layout for NPS pollution prevention and control by clarifying the internal mechanism.

scholarly journals Spatial-Temporal Change of Land Use and Its Impact on Water Quality of East-Liao River Basin from 2000 to 2020

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1955
Author(s):  
Mingxi Zhang ◽  
Guangzhi Rong ◽  
Aru Han ◽  
Dao Riao ◽  
Xingpeng Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Point Source ◽  
Water Body ◽  
Forest Land ◽  
Point Source Pollution ◽  
Construction Land ◽  
Unused Land ◽  
Non Point Source Pollution

Land use change is an important driving force factor affecting the river water environment and directly affecting water quality. To analyze the impact of land use change on water quality change, this study first analyzed the land use change index of the study area. Then, the study area was divided into three subzones based on surface runoff. The relationship between the characteristics of land use change and the water quality grade was obtained by grey correlation analysis. The results showed that the land use types changed significantly in the study area since 2000, and water body and forest land were the two land types with the most significant changes. The transfer rate is cultivated field > forest land > construction land > grassland > unused land > water body. The entropy value of land use information is represented as Area I > Area III > Area II. The shift range of gravity center is forest land > grassland > water body > unused land > construction land > cultivated field. There is a strong correlation between land use change index and water quality, which can be improved and managed by changing the land use type. It is necessary to establish ecological protection areas or functional areas in Area I, artificial lawns or plantations shall be built in the river around the water body to intercept pollutants from non-point source pollution in Area II, and scientific and rational farming in the lower reaches of rivers can reduce non-point source pollution caused by farming.

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