青藏高原湿地土壤水力学参数反演数据集

土壤水力学性质是调控陆地水文循环、植被生长和陆面–大气相互作用的关键参数，对理解高原生态系统响应气候变化具有基础性意义。特别是在青藏高原这一受季风主导、干湿交替显著的区域，准确刻画全吸力范围内的水分运动机制，对于提升水文模拟与陆面过程模型精度至关重要。本数据集基于青藏高原代表性湿地样地的原位观测与实验测量，首次实现了在高原湿地土壤上全吸力段水力学参数的系统反演与膜流机制引入，弥补了当前所有高原区域模型未覆盖干旱吸力段的显著空白。研究采用van Genuchten–Mualem模型（vGM）及其多峰扩展（Bi-/Tri-modal）和膜流扩展模型（PDI），构建了涵盖单峰、双峰、三峰及膜流耦合在内的多种模型组合。数据集提供了各模型下的饱和导水率、饱和含水量、残余含水量，以及各阶参数（α、n、σ、ω、τ、w）。测定方法包括实验室恒头法和蒸发实验反演，参数反演采用非线性优化算法并结合不确定性分析。该数据集可广泛用于青藏高原地区土壤–植被–大气相互作用模拟、陆面模型参数优化、区域水文过程研究等领域。

Soil hydraulic properties are critical parameters governing terrestrial hydrological cycles, vegetation growth, and land-surface and atmosphere interactions, and are fundamentally significant for understanding how plateau ecosystems respond to climate change. Particularly in the monsoon-dominated Qinghai-Tibet Plateau, a region characterized by distinct wet-dry alternations, accurately characterizing moisture movement mechanisms across the entire suction range is crucial for enhancing the accuracy of hydrological simulations and land surface process models. This dataset is developed based on in-situ observations and experimental measurements from representative wetland plots on the Qinghai-Tibet Plateau. For the first time, it realizes systematic inversion of hydraulic parameters across the full suction range and incorporation of membrane flow mechanisms in plateau wetland soils, filling a critical gap that all current regional models for the plateau fail to cover the dry suction range. The study adopted the van Genuchten–Mualem model (vGM), its multi-peak extensions (Bi-/Tri-modal), and the membrane flow extended model (PDI), and constructed multiple model combinations covering single-peak, dual-peak, tri-peak, and membrane flow-coupled scenarios. The dataset provides saturated hydraulic conductivity, saturated water content, residual water content, and order-specific parameters (α, n, σ, ω, τ, w) under each model. The measurement methods include the constant-head laboratory method and evaporation experiment inversion, while parameter inversion was conducted using nonlinear optimization algorithms combined with uncertainty analysis. This dataset can be widely applied in fields such as soil-vegetation-atmosphere interaction simulations, land surface model parameter optimization, and regional hydrological process research over the Qinghai-Tibet Plateau.

搜集汇总

背景与挑战

背景概述

该数据集基于青藏高原湿地样地的原位观测与实验测量，首次实现了高原湿地土壤全吸力段水力学参数的系统反演，填补了高原区域模型在干旱吸力段的空白。数据集采用van Genuchten–Mualem模型及其扩展模型，提供了多种模型组合下的水力学参数，适用于高原地区土壤–植被–大气相互作用模拟等研究领域。