Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(58), С. 122875 - 122885
Опубликована: Ноя. 18, 2023
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(58), С. 122875 - 122885
Опубликована: Ноя. 18, 2023
Язык: Английский
Journal of Hazardous Materials, Год журнала: 2025, Номер 489, С. 137501 - 137501
Опубликована: Фев. 6, 2025
Язык: Английский
Процитировано
2Nature Communications, Год журнала: 2024, Номер 15(1)
Опубликована: Июль 6, 2024
Abstract Reducing water scarcity requires both mitigation of the increasing pollution and adaptation to changing availability demand resources under global change. However, state-of-the-art modeling efforts often ignore quality associated biogeochemical processes in design reduction measures. Here, we identify cost-effective options for reducing future by accounting quantity highly stressed polluted Pearl River Basin China various socio-economic climatic change scenarios based on Shared Socio-economic Pathways (SSPs) Representative Concentration (RCPs). Our approach integrates a nutrient model (MARINA-Nutrients) with cost-optimization procedure, considering biogeochemistry human activities land spatially explicit way. Results indicate that is expected increase factor four most parts 2050 RCP8.5-SSP5 scenario. also show management could half analysis serve as an example assessment other river basins around world inform measures reduce scarcity.
Язык: Английский
Процитировано
9Environmental Science & Technology, Год журнала: 2024, Номер unknown
Опубликована: Авг. 17, 2024
Storm events can mobilize nitrogen species from landscapes into streams, exacerbating eutrophication and threatening aquatic ecosystems as well human health. However, the transport pathways storm responses of different forms remain elusive. We used high-frequency chemical isotopic sampling to partition sources stormwater runoff determine multiple in an agricultural catchment. Bayesian mixing modeling reveals shallow subsurface water dominant source runoff, contributing 74% flux 72, 71, 79% total (TN), dissolved (TDN), nitrate (NO
Язык: Английский
Процитировано
6Journal of Hazardous Materials, Год журнала: 2024, Номер 466, С. 133616 - 133616
Опубликована: Янв. 25, 2024
Язык: Английский
Процитировано
5Ecological Indicators, Год журнала: 2024, Номер 169, С. 112853 - 112853
Опубликована: Ноя. 16, 2024
Язык: Английский
Процитировано
4Journal of Soil and Water Conservation, Год журнала: 2024, Номер 79(3), С. 113 - 131
Опубликована: Янв. 1, 2024
The negative effects of nutrient pollution in streams, rivers, and downstream waterbodies remain widespread global problems. Understanding the cost-effectiveness different strategies for mitigating is critical to making informed decisions defining expectations that best utilize limited resources, which a research priority US Environmental Protection Agency. To this end, we modeled management practices including residue management, cover crops, filter strips, grassed waterways, constructed wetlands, reducing fertilizer upper East Fork Little Miami River, an 892 km
Язык: Английский
Процитировано
3Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125142 - 125142
Опубликована: Март 31, 2025
Язык: Английский
Процитировано
0Environmental Technology & Innovation, Год журнала: 2025, Номер unknown, С. 104178 - 104178
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Water Resources Research, Год журнала: 2025, Номер 61(4)
Опубликована: Апрель 1, 2025
Abstract We focus on the competition between nitrate/nitrite ammonification (also termed dissimilatory nitrate reduction to ammonium (DNRA)) and denitrification processes taking place across partially saturated water‐soil systems. The study is motivated by observation that joint presence of dissolved organic nitrogen (DON) redox fluctuation in vadose zone poses potential risks for generation nitrates (NO 3 − ‐N) can then be reduced (NH 4 + through DNRA. examine dynamics induced natural soil samples subject controlled drying‐wetting cycles. Upon experimental evidences, we estimate parameters driving kinetics associated with transformation. This enables us document a DNRA during wetting periods. find increasing carbon‐to‐nitrogen (C/N) ratio system yields significant increase rates, corresponding their contribution reduction. rate documented ( ) significantly faster loam than sandy loam, due carbon release from aggregates, b more effective amino acid urea soil, role as source. Our analysis further suggests relevance hydrogeochemical factors (e.g., moisture variation, texture, C/N ratio) DON transformation influence functional microorganisms. These insights advance our understanding agroecosystems, which has implications environmental management practices aimed at controlling NO ‐N pollution soils.
Язык: Английский
Процитировано
0Geoderma, Год журнала: 2023, Номер 440, С. 116692 - 116692
Опубликована: Ноя. 20, 2023
Globally, the strategic use of nitrogen (N) is important in optimizing economic returns and reducing soil losses to environment. Incorporating reliable estimates mineralized over a growing season (GSN) into N-fertilizer rate prescriptions critical, but may often lack direct measurement. For this purpose, Pedotransfer functions (PTFs) total (TN) – representing stable pool from which N biological availability (BNA) labile mineralization were used estimate GSN. GSN was calculated based on TN BNA results health database (SHD), also includes suite related parameters (n = 2222). Using process recursive feature elimination (RFE) cost-benefit (CBFE), best predictors TN, BNA, identified using machine learners (MLs) regression analysis. RFE revealed that active carbon (AC), sand (Sa), organic matter (OM) yielding Lin's concordance correlation coefficient (CCC) 0.80 reduction theoretical cost 41 % compared control. CBFE resulted AC, respiration (SR), clay, Sa, OM as most cost-effective with CCC 0.79 savings 49 below all appropriate SHD. With respect aggregate stability (AS), SR, 0.78 23 %. retained S, pH 29 cost. Finally, AS, 0.82 17 CBFE, other hand, sand, OM, cost-efficient while maintaining Of MLs for pattern recognition (i.e., cubist, random forest, support vector machine, stochastic gradient boosting), cubist model outperformed others majority iterations processes. The framework, N-related PTFs developed study will greatly enhance our ability predict N-pool dynamics incorporate recommendations producers worldwide. Improvements predictive strength could be achieved by incorporating climate management practices PTF development. Another area improvement future would include addition spatial landscape variability N-measures via digital mapping applications.
Язык: Английский
Процитировано
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