Details

Autor(en) / Beteiligte

• Wang, Guoqiang
• Li, Jiawei
• Sun, Wenchao
• Xue, Baolin
• A, Yinglan
• Liu, Tingxi

Titel

Non-point source pollution risks in a drinking water protection zone based on remote sensing data embedded within a nutrient budget model

Ist Teil von

• Water research (Oxford), 2019-06, Vol.157, p.238-246

Ort / Verlag

England: Elsevier Ltd

Erscheinungsjahr

2019

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• A simple, transparent and reliable method for evaluating non-point source pollution (NPSP) risks to drinking water source areas lacking observational data is proposed herein. The NPSP risks are assessed by using nutrient budget models for total nitrogen and total phosphorus, making the best use of remote sensing and field survey data. We demonstrate its potential using a case study of the Chaihe Reservoir in northeastern China. Fertilizer inputs and crop-uptake outputs were estimated based on normalized difference vegetation index, which is derived from remote sensing as indicators of crop growth and production. The nutrient balances for this area showed surpluses of both N and P within the soil system. Estimated imbalances per unit area were consistent with statistical relationships derived from all Chinese counties, demonstrating that the proposed method is reliable. The surplus P amounts were higher than the standard threshold for NPSP risks, indicating the existence of a potential contamination risk of P to this drinking water source. [Display omitted] •Non-point source pollution risk to a reservoir drinking water source area is assessed.•Risk assessment uses nutrient budget models that integrate remote sensing data.•Crop planting area and yields are estimated using remotely sensed NDVI time series.•N and P surpluses are detected regardless of whether model uncertainty is considered.•The P surplus amount is higher than the reference level, indicating a potential risk.